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www.<strong>zenith</strong>research.org.in<br />

ZENITH<br />

International Journal of Multidisciplinary Research<br />

Vol.1 Issue 5, September 2<strong>01</strong>1, ISSN 2231 5780<br />

ZENITH<br />

INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH<br />

Vol.1 Issue 5; September 2<strong>01</strong>1; ISSN 2231-5780<br />

SR. NO. CONTENTS PAGE NO.<br />

1<br />

DIMENSIONALITY OF SERVICE QUALITY AND ITS CRITICAL<br />

PREDICTORS TO CUSTOMER SATISFACTION IN INDIAN RETAIL<br />

BANKING<br />

1-11<br />

2<br />

3<br />

4<br />

5<br />

ARORA VIBHA, DR. NRAVICHANDRAN, DR. N.K.JAIN<br />

THE NEW BASEL ACCORD – FRAME WORK AND ROLE OF BANKS<br />

S. POONGAVANAM<br />

CLUSTER ANALYSIS OF MUTUAL FUNDS<br />

MR. NOONEY LENIN KUMAR, DR. V. RAMA DEVI<br />

GLOBAL TERRORISM INSURANCE: AN OVERVIEW<br />

DR. RENU VERMA, DR MANISHA SINGH<br />

INVESTMENT IN EQUITY CAN BE STRESSFUL - CAUSES AND<br />

PRECAUTIONS<br />

12-23<br />

24-47<br />

48-68<br />

69-82<br />

6<br />

DR. (MS.) JAYASHREE AVINASH BHAKAY<br />

AN ANALYSIS OF FOREIGN EXCHANGE EXPOSURE MANAGEMENT<br />

BY MNCs IN INDIA<br />

83-1<strong>05</strong><br />

7<br />

DR. MANISHA GOEL, PROF. S.L. GUPTA, MR. LALIT GOEL<br />

CORPORATE GOVERNANCE INDEX FORMULATION: COMPLIANCE<br />

WITH COMMERCIAL BANKS OF NEPAL<br />

106-118<br />

8<br />

DR. PRASHANT KUMAR, TARA PRASAD UPADHYAYA<br />

MBNQA - A STRATEGIC INSTRUMENT FOR MEASURING<br />

PERFORMANCE IN HEALTHCARE ORGANIZATIONS:<br />

EMPIRICAL STUDY<br />

AN<br />

119-129<br />

9<br />

SUNIL C. D’SOUZA, A. H. SEQUEIRA<br />

CUSTOMER SERVICE AND BRAND IMAGE:<br />

RETROSPECTIVE VIEW OF PRIVATE BANKS IN INDIA<br />

A<br />

130-140<br />

10<br />

MS. CHHAVI DAGAR, DR. PARUL KHANNA<br />

A STUDY OF TV VIEWERSHIP PATTERNS AMONG YOUNGSTERS IN<br />

NORTHERN INDIA<br />

141-160<br />

11<br />

ER. KANWAL GURLEEN, DR. SUKHMANI<br />

ANALYSIS OF FINANCIAL PERFORMANCE OF TATA STEEL – A CASE<br />

STUDY<br />

161-174<br />

12<br />

SUVARUN GOSWAMI, ANIRUDDHA SARKAR<br />

EFFECTIVENESS OF IT EVENTS IN ACADEMIC INSTITUTIONS -<br />

STUDENTS’ PERSPECTIVE<br />

PROF. RANJITH P.V., PROF. MRS. NEHA CHOPADE, PROF. MS. VIDHYA<br />

RAO<br />

175-189


www.<strong>zenith</strong>research.org.in<br />

ZENITH<br />

International Journal of Multidisciplinary Research<br />

Vol.1 Issue 5, September 2<strong>01</strong>1, ISSN 2231 5780<br />

13<br />

14<br />

15<br />

16<br />

17<br />

18<br />

19<br />

20<br />

21<br />

M-LEARNING: A NOVEL WAY TO ENHENCE YOGA EDUCATION<br />

ASHISH NAMDEVRAO SAWALE<br />

WOMEN ENTREPRENEURSHIP IN INDIA-PROBLEMS AND PROSPECTS<br />

MEENU GOYAL, JAI PARKASH<br />

FEMININE SURVIVAL: A COGNITIVE ASSESSMENT OF THE LEGAL<br />

REGIME IN INTERNATIONAL HUMANITARIAN LAW<br />

GAURAV ARORA, SUPRITHA PRODATURI<br />

EXPLORING THE BENEFITS OF MICROFINANCE ORGANISATIONS<br />

FOR POVERTY ALLEVIATION (A RESEARCH STUDY CONDUCTED IN<br />

PUNJAB)<br />

MANISHA SHARMA, VISHAL SARIN<br />

A STUDY ON EFFECTIVENESS OF SELF-EMPLOYMENT TO EDUCATED<br />

UNEMPLOYED YOUTH SCHEME IN INDIA<br />

DR. P.V.V. SATYANARAYANA<br />

ISSUES AND PROSPECTS OF PUBLIC PRIVATE PARTNERSHIP IN INDIA<br />

KARUNENDRA PRATAP SINGH<br />

A STUDY ON SOCIO-ECONOMIC CHARACTERISTICS OF INDIAN<br />

SHARE MARKET INVESTORS [WITH SPECIAL REFERENCE TO<br />

COIMBATORE]<br />

K.C.JOHN SASI KUMAR, DR.P.VIKKRAMAN<br />

ECO-FRIENDLY PRODUCTS AND CONSUMER PERCEPTION<br />

SUDHIR SACHDEV<br />

CREATIVITY AND INNOVATION IN MANAGEMENT - A Fuel for Growth<br />

MRS. YASHA AGGARWAL & MS NEHA BHATIA<br />

ZENITH VOL-<strong>01</strong>,ISSUE-<strong>05</strong>, SEPTEMBER 2<strong>01</strong>1<br />

190-194<br />

195-207<br />

208-216<br />

217-230<br />

231-243<br />

244-256<br />

257-278<br />

279-287<br />

288-296<br />

1-296


1<br />

www.<strong>zenith</strong>research.org.in<br />

ZENITH<br />

International Journal of Multidisciplinary Research<br />

Vol.1 Issue 5, September 2<strong>01</strong>1, ISSN 2231 5780<br />

DIMENSIONALITY OF SERVICE QUALITY AND ITS CRITICAL<br />

PREDICTORS TO CUSTOMER SATISFACTION IN INDIAN RETAIL<br />

BANKING<br />

ABSTRACT<br />

VIBHA ARORA *; DR. NRAVICHANDRAN**; DR. N.K. JAIN***<br />

*Faculty, IBS-Gurgaon, Haryana.<br />

**Faculty, Jamia Hamdard University, Delhi.<br />

***Academic Dean, Gautam Buddha University, Greater Noida, U.P.<br />

This paper investigates the various dimensions of service quality and how these dimensions<br />

determine customer satisfaction in Indian banking sector. Using Service performance (Servperf)<br />

model, the survey was undertaken in Delhi and National capital region on the sample of 318<br />

respondents to test dimensionality of servperf by using construct validity and reliability test.<br />

Servperf model proved to be four dimensional in context of Indian banking sector. Further<br />

multivariate regression analysis was used to see the impact of service quality dimensions on<br />

customer satisfaction. Reliability and service interaction were found to be significant variables to<br />

customer satisfaction in India.<br />

KEYWORDS: Customer satisfaction, Indian retail banking, Service quality, Servperf.<br />

INTRODUCTION<br />

The service quality has gained importance in last decade due to its unique characteristics of<br />

services in<strong>vol</strong>ving intangibility, inseparability, variability and perishability. These characteristics<br />

make the process of service purchase and delivery very complex for both customer and seller.<br />

Over the last few decades, researchers have been coming up with different structure in regard to<br />

various dimensions of service quality. Technical - functional quality and image model by<br />

Gronroos (1984); GAP model (customer expectation and perception of expectations;<br />

management perception of customer expectation and setting quality specification; difference<br />

between service quality specification and service quality delivery; difference between service<br />

delivery and communication to service delivery; difference between customer expectation and<br />

perceived service) by Parasuraman et al (1985); Attribute service quality model in<strong>vol</strong>ving<br />

physical facilities and processes; people behavior and professional judgment) Haywood- Farmer,<br />

1988; Synthesized model integrates company image, external influences and traditional<br />

marketing activities (Brogowicz et al, 1990); Performance only model (1992) suggesting service<br />

quality performance minus expectations as inappropriate and suggested performance only<br />

measurement as a better method (Cronin and Taylor, 1992); Ideal value model in<strong>vol</strong>ves<br />

perceived ideal standard against which the experience is compared (Mattsson, 1992); Attribute<br />

and overall affect model (Dabholkar, 1996)came up with two alternative models of service<br />

quality that is attribute model incorporating what consumer expects, customer evaluation of<br />

attributes associated with technology based self service option to form expectation; and overall


2<br />

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ZENITH<br />

International Journal of Multidisciplinary Research<br />

Vol.1 Issue 5, September 2<strong>01</strong>1, ISSN 2231 5780<br />

affect model incorporating customers feeling towards use of technology. The P-C-P attributes<br />

(Pivotal that is output, core and peripheral) model by Philip and Hazlett (1997); Internal service<br />

quality in<strong>vol</strong>ving internal customer and internal suppliers model by Frost and Kumar (2000)<br />

have been developed in order to find the determinants of the concept of service quality as well as<br />

appropriate quality measurement techniques. But Servqual and Servperf remain widely used<br />

scales of service quality. This study proposes to test dimensionality of a widely used scale<br />

servperf and its significant dimensions in Indian context.<br />

REVIEW OF LITERATURE<br />

Parasuraman, Zeithaml and Berry (1988) attempted to develop SERVQUAL to assess perception<br />

of customer about service quality in service and retail organization. They came up with five<br />

dimensions namely tangibles, reliability, responsiveness, assurance and empathy. Parasuraman,<br />

Berry and Zeithaml (1991) investigated the impact of organizational barriers to deliver high<br />

quality service performance with the help of customer perceptions and expectations. The model<br />

developed by Zeithaml, Berry and Parasuraman was used and tested in which five gaps in<strong>vol</strong>ving<br />

marketing information gap, standard gap, service performance gap, communication gap and<br />

service quality gap were studied. The results have shown that Gap 3 (service performance gap)<br />

and 4 (communication gap) found to be significant in explaining Gap 5 that is service quality.<br />

Cronin and Taylor (1992) investigated conceptualization and measurement of service quality. An<br />

alternative method of operationalizing relationship, significance of relationship, perceived<br />

service quality, customer satisfaction and purchase intentions were studied. 22 items of servqual<br />

were taken and unweighted measure of performance was compared with servqual, weighted<br />

servqual and weighted servperf. The sample size of 660 respondents was taken across for<br />

industries. The result of factor analysis has shown that Servperf scale measures more of variance<br />

in service quality than alternative scales. It has been observed that both service quality and<br />

satisfaction affect purchase intentions. Servqual had a good fit in two industries of four whereas<br />

ServPerf had an excellent fit in all four industries.<br />

Zeithaml, Berry and Parasuraman (1996) have undertaken with the objective to summarize the<br />

evidence about behavioural consequences at individual customer level. The sample size of<br />

respondent was 1316 respondents. The results have shown that increased level of service quality<br />

leads to positive loyalty and readiness to pay more for the service, decreased intentions to switch.<br />

Angur, Natarajan and Jahera (1999) studied various measures of service quality in a developing<br />

country, specifically the performance of alternative measure proposed by Cronin and Taylor<br />

(1992). 22 expectation, performance and importance statements were used. 143 respondents were<br />

covered. The results have shown that Servperf measure and Servqual measure have same<br />

convergent validity. Servqual gaps show greater variability across banks and greater diagnostic<br />

information than Servperf scale. But Servperf has higher discriminant validity and Servperf<br />

explains more variance in overall service quality than Servqual. But at the same time average<br />

difference in variance explained is very small that is negligible.<br />

Sureshchandar, Rajendran and Anantharaman (2003) conceptualized service quality as a<br />

multidimensional construct having five dimensions namely, core service (content of the service),<br />

service delivery (human elements such as reliability, responsiveness, assurance, empathy,


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3<br />

ZENITH<br />

International Journal of Multidisciplinary Research<br />

Vol.1 Issue 5, September 2<strong>01</strong>1, ISSN 2231 5780<br />

moment of truth and critical incident and recovery) non human element (process, procedures,<br />

systems and technology) tangibles (equipment, machinery, signage and employee appearance,<br />

and social responsibility (well being of society). The results have shown significant different<br />

between service quality offered by public, private and foreign banks regarding all the five factors<br />

of service quality. Technological factor was found to be contributing more than human elements.<br />

Rai (2009) identified tangibility (seating, lighting, signage, and parking) competence<br />

(Knowledge and ability), responsiveness (willingness and adherence), safety (confidence),<br />

communication (content and quality) and understanding customers (approach towards customer)<br />

as important dimensions of service quality. Pal and Choudhury (2009) found out four dimensions<br />

of service quality namely customer – orientedness (prompt service, courteousness, knowledge,<br />

operating hours, personal attention, ability to understand) competence (responsiveness, right<br />

service, dependability, service timing, safety), tangibles (physical facilities and materials) and<br />

convenience (branch location and ATM location).<br />

Hazra and Srivastava (2009) used 22 item servqual scale and identified four factors in<strong>vol</strong>ving<br />

assurance-empathy, reliability, tangibles and security. Customer commitment, satisfaction and<br />

trust have been identified as separate factors. Assurance – empathy being the most valued<br />

dimension of service quality and impacting customer loyalty to a company, willingness to pay,<br />

customer commitment and customer trust. Kumar, Kee and Charles (2<strong>01</strong>0) undertook a study<br />

in<strong>vol</strong>ving 22 item of servqual with additional 4 items relating to the dimension of convenience.<br />

The response was taken related to expectations and perceptions of the customer. The analysis has<br />

shown service quality consisted of four dimensions in<strong>vol</strong>ving tangibility, reliability, convenience<br />

and competence. Competence and convenience were found to be relatively dominating factor as<br />

compared to tangibility and reliability. These two dimensions were found to be reducing 72<br />

percent of overall service quality gap.<br />

Monica Bedi (2<strong>01</strong>0) indicated difference in customer perception of service quality in public and<br />

private sector banks. In majority of the factors, private sector banks were perceived to have high<br />

service quality. Private sector banks were found to be more satisfied than public sector bank<br />

customer. High propensity to switch was found in public sector bank customers than private<br />

sector bank customers. Product convenience, assurance, reliability, responsiveness and product<br />

availability were identified as predictors of customer satisfaction in private sector banks whereas<br />

responsiveness, product convenience, assurance, reliability and empathy were found as<br />

significant predictors in public sector banks.<br />

Taking in to consideration above studies, it has been identified that relevance and dimensionality<br />

of Servperf has not been tested in context of Indian banking sector. So, this paper aims to find<br />

out the relevance of Servperf and significant dimensions of service quality in context of Indian<br />

banking sector with the help of exploratory factor analysis and multivariate regression analysis.<br />

OBJECTIVES<br />

The primary objectives of the study is<br />

To investigate the dimensionality of servperf model of service quality in India;


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4<br />

ZENITH<br />

International Journal of Multidisciplinary Research<br />

Vol.1 Issue 5, September 2<strong>01</strong>1, ISSN 2231 5780<br />

To find the relationship between service quality and customer satisfaction;<br />

To determine critical predictors to customer satisfaction.<br />

RESEARCH METHODOLOGY – MEASURE CONSTRUCTION<br />

In order to ascertain the perceptions of service quality, Servperf scale (Cronin and Taylor, 1992)<br />

and satisfaction measure (McDougall and Levesque, 1994) has been used to ascertain customer<br />

perception about various dimensions of service quality and its impact on satisfaction. The<br />

responses to statements were taken on five point likert’s scale to estimate the range and<br />

variations in the perceptions. The scale 1-5 represents “5” Strongly agree and “1” as “Strongly<br />

disagree”. The statements were modified according to the research objective and banking sector.<br />

SAMPLE<br />

The final questionnaire was administered on 318 customers out of which 294 questionnaire were<br />

used. The personal contact approach was used. The respondents were randomly stopped in the<br />

area where banks were located and asked if they have account in any of the four banks and have<br />

been using the services of the bank from last 1 year. Respondents fulfilling these eligibility<br />

criteria were requested to fill in the questionnaire. The demographic characteristics like age,<br />

education, income level, geographic location and profession were taken in to consideration. The<br />

composition of the sample in<strong>vol</strong>ved 193 males and 1<strong>01</strong> females who have their account in the<br />

bank at least for one year. The average age of the sample was 28 years. Majority of the<br />

respondents were either graduate or post graduate. The geographical spread of the sample was in<br />

Delhi and NCR (National capital region).<br />

DATA ANALYSIS<br />

The data was fed in using SPSS (Statistical package for social sciences) was undertaken. Pre<br />

analysis testing for suitability of the entire sample for factor analysis was computed as<br />

recommended by Comrey (1978). The Kaiser Mayer- Olkin (table 1.1) measure of sampling<br />

adequacy was 0.917 and the Bartlett tests of sphericity was found to be significant at p < 0.0<strong>01</strong>.<br />

TABLE (1.1) DEPICTING KMO AND BARTLETT'S TEST<br />

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .917<br />

Bartlett's Test of Sphericity Approx. Chi-Square 3728.790<br />

Degree of Freedom 276.000<br />

Significance .000


5<br />

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ZENITH<br />

International Journal of Multidisciplinary Research<br />

Vol.1 Issue 5, September 2<strong>01</strong>1, ISSN 2231 5780<br />

In order to purify and refine the scale, further exploratory factor analysis using varimax,<br />

principal component method was conducted. Regarding factor analysis (depicted in table 1.2) of<br />

items four independent and one dependent factor emerged out and on the basis of content these<br />

were named service interaction, Reliability, tangibility and efficiency and satisfaction with eigen<br />

value greater than 1 and factor loading greater than 0.50.<br />

TABLE (1.2) DEPICTING FACTOR ANALYSIS<br />

Sr.<br />

No<br />

Q. No. Service<br />

Interaction<br />

Reliability Tangibility Timely<br />

Service<br />

Satisfaction<br />

1 8 (help) .739<br />

2 19 (personal attention) .732<br />

3 5 (individual Attention) .722<br />

4 3 (prompt) .691<br />

5 13 (never busy) .677<br />

6 10 (best interest) .659<br />

7 15 (understand need) .595<br />

8 14 (courteous) .595<br />

9 4 (confidence) .522<br />

10 12 (reliable) .797<br />

11 17(promised service) .740<br />

12 2 (promise) .734<br />

13 20 (error free record) .719<br />

14 7 (problem solving) .702<br />

15 9 (safe) .413<br />

16 6 (visual appeal) .869


6<br />

www.<strong>zenith</strong>research.org.in<br />

ZENITH<br />

International Journal of Multidisciplinary Research<br />

Vol.1 Issue 5, September 2<strong>01</strong>1, ISSN 2231 5780<br />

17 1(modern equipments) .795<br />

18 11 (neat appearance) .794<br />

19 16 (material Visu.<br />

Appeal)<br />

.789<br />

20 21(operating hrs.) .811<br />

21 22(know exact time) .546<br />

22 18 (knowledge to<br />

answer)<br />

.511<br />

23 23 (best interest) .924<br />

24 24(meet expectation) .907<br />

Items number 9 was dropped from reliability factor as it had factor loading less than 0.50. Item<br />

number 21 was dropped from efficiency factor as with item deletion method, it was observed that<br />

cronbach alpha increased from .657 to .7<strong>05</strong>.<br />

TABLE (2) DEPICTING MEAN SCORE, STANDARD DEVIATION AND RELATED<br />

DETAILS OF ALL THE ANTECEDENTS AND CONSEQUENCES (N=294)<br />

Sr.<br />

no<br />

Variable<br />

No. of<br />

items<br />

Score<br />

range<br />

Cron Bach<br />

Alpha<br />

Mean<br />

score<br />

Std.<br />

Dev.<br />

Mean<br />

score<br />

as % *<br />

Dependent Variables:<br />

1<br />

Satisfaction<br />

2<br />

2-10<br />

.829<br />

6.5816<br />

1.9194<br />

.5727<br />

Independent variables:<br />

1<br />

Service interaction<br />

9<br />

9-45<br />

.886<br />

29.4218<br />

6.5929<br />

.5672<br />

2<br />

Reliability<br />

5<br />

5-25<br />

.846<br />

16.1395<br />

4.1864<br />

.5569<br />

3<br />

Tangibility<br />

4<br />

4-20<br />

.854<br />

13.9490<br />

3.3398<br />

.6218<br />

4<br />

Efficiency<br />

2<br />

2-10<br />

.7<strong>05</strong><br />

6.9150<br />

1.6241<br />

.6143


7<br />

www.<strong>zenith</strong>research.org.in<br />

ZENITH<br />

International Journal of Multidisciplinary Research<br />

Vol.1 Issue 5, September 2<strong>01</strong>1, ISSN 2231 5780<br />

*Since the score range of variables is not identical, the mean scores shown in this table cannot be<br />

directly compared. Hence, each mean score was converted in to a standardized (per cent) score<br />

through the following computation.<br />

Mean score (%)= Mean Score –(lowest point of the score range)<br />

(Highest – Lowest point of the score range)<br />

The table (2) last columns mean score as percentage depicts that mean score percentage range is<br />

49.1% (lowest) to 71% (highest). The relative status of the independent variables is shown below<br />

in the descending order.<br />

Sr<br />

no<br />

Variable<br />

Mean score percentage<br />

1 Tangibility 62%<br />

2 Efficiency 61%<br />

3 Service<br />

interaction<br />

57%<br />

4 Reliability 55%<br />

All the independent variables come within the range of 7% i.e. 55%- 62%. Regarding dependent<br />

variables, the mean score percentage is 57%. The above findings suggest that to improve the<br />

overall customer satisfaction banks can work upon above mentioned areas.<br />

Further, Regression analysis (table 3.1) of all the independent variables with respect to the<br />

dependent variable satisfaction was undertaken to see the variable entering in to stepwise<br />

regression results. The individual contribution of the variable entering in to step wise regression<br />

were calculated by multiplying the zero order correlation with standardized beta coefficient of<br />

the same dimension to find their relative importance in total variance of satisfaction and<br />

behavioual intentions.


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www.<strong>zenith</strong>research.org.in<br />

ZENITH<br />

International Journal of Multidisciplinary Research<br />

Vol.1 Issue 5, September 2<strong>01</strong>1, ISSN 2231 5780<br />

TABLE (3.1) DEPICTING REGRESSION ANALYSIS OF INDEPENDENT VARIABLES<br />

WITH RESPECT TO SATISFACTION IN INDIAN BANKING SECTOR<br />

Predictors of Satisfaction in<br />

public sector bank<br />

Zero Order<br />

Correlation<br />

(A)<br />

Standard Beta<br />

Coefficient<br />

(B)<br />

Individual<br />

Contribution<br />

(A X B)<br />

1<br />

Reliability<br />

.784<br />

.682***<br />

.534<br />

2<br />

Service interaction<br />

.552<br />

.194***<br />

.107<br />

Total R 2 .641<br />

Adjusted R 2 =.639, F value: 260.346***, *** P < 0.0<strong>01</strong> Level<br />

The result of regression analysis has shown the service areas that are important to improve upon<br />

customer satisfaction. The above table (3.1) reflects that out of all independent variables<br />

reliability and service interaction have been found as main predictors of customer satisfaction.<br />

The adjusted R 2 of .641 shows that about 64% of the variance can be explained with the help of<br />

these two variables. The individual contribution of reliability and service interaction is 53% and<br />

11% respectively. This finding shows that banks need to focus more on reliability of the service<br />

in order to keep their customer satisfied followed by service interaction.<br />

CONCLUSION AND DISCUSSION<br />

Results of exploratory factor analysis show service quality as a four dimensional construct<br />

in<strong>vol</strong>ving tangibility, reliability, service interaction and efficiency. Arasli, Katircioglu and Smadi<br />

(20<strong>05</strong>) also found four dimensional structure of service quality in<strong>vol</strong>ving tangibles, reliability,<br />

empathy and assurance as dimensions of service quality. Hazra and Srivastava (2009) used 22<br />

item servqual scales and identified four factors in<strong>vol</strong>ving tangibles, reliability, security and<br />

assurance. Considering all the mentioned studies, it appears reasonably good to conclude that<br />

service quality in Indian retail banking may comprise of tangibility, reliability and third factor<br />

service interaction takes care of responsiveness, empathy, assurance, relation quality and<br />

employee- customer relationship etc. The possible explanation of this finding would be that<br />

tangibility and reliability has been perceived distinctively by customers whereas other factors are<br />

getting combined or coming separately depending on the nature of industry, culture and<br />

economic environment of the nation.<br />

Further, service quality analysis was performed at the dimension level with the use of regression<br />

analysis. The dimension specific analysis provides greater diagnostic value for understanding of<br />

customer satisfaction. This allows the management to identify problem areas at the dimension<br />

level to allocate resources in order to improve particular aspect of service quality. This study<br />

provides the areas such as reliability followed by service interaction for providing better service<br />

quality in Indian banking sector. As found by the present study, Lianxi and Zhou (2004); Gill,<br />

Flaschner and Shachar (2006) Yavas et al (2004) and Kantsperger and Kunz (2<strong>01</strong>0) correspond


9<br />

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ZENITH<br />

International Journal of Multidisciplinary Research<br />

Vol.1 Issue 5, September 2<strong>01</strong>1, ISSN 2231 5780<br />

with the results of present study as they also found reliability as a major predictor to satisfaction<br />

and tangibility, empathy and responsiveness were not found as important factors impacting<br />

satisfaction. The regression analysis of tangibility with customer satisfaction shows that<br />

tangibility is not an important predictor of customer satisfaction. In a study undertaken by<br />

Baumann, Burton and Elliott (2007) tangibility of the bank was found as a major determinant of<br />

customer satisfaction and increased performance. This finding further reinforces the difference<br />

between developed and developing nation. In a developing nation like India tangibility does not<br />

play much role. Customers are not concerned about the physical environment but they are<br />

concerned about reliability of the service received.<br />

MANAGERIAL IMPLICATIONS<br />

As importance of service quality and its impact on customer satisfaction has been recognized and<br />

reinforced by the present study in context of Indian banking sector. The present study shows<br />

reliability is the foremost important factor impacting satisfaction. The managerial implication of<br />

the finding is that employees should be keeping the promises and provide reliable and error free<br />

service to the customer. The realistic picture and not the rosy picture should be portrayed to the<br />

customer in order to provide promised service. Based on results of present study, providing<br />

reliable service is the final outcome and seems to be most appealing service criteria and has been<br />

given highest importance by customers. This study helps the bank management to gain useful<br />

insights regarding relative contribution of each service quality dimensions to customer<br />

satisfaction. As evident, reliability and service interaction have been found significant and<br />

tangibility and efficiency as insignificant. This finding highlights the very nature of the banking<br />

service where tangibility does not play as major role as reliability. So, management shall the<br />

spending maximum of the resources on increasing reliability in order to enhance customer<br />

satisfaction. However, given the limited nature of this study (restricted coverage of geographical<br />

region, restricted measures for service quality and satisfaction) further investigations can be<br />

undertaken. With the change in environment, e-banking coming in to existence the factor might<br />

change in future.<br />

REFERENCES<br />

Angur, M.G., Natarajan, R. and Jahera, J.S. (1999), “Service quality in banking industry: An<br />

assessment in a developing economy” International <strong>journal</strong> of bank marketing, 17(3), 116-123<br />

Arasli, H. Katircioglu, S.T. and Smadi, S.M. (20<strong>05</strong>), “A comparison of service quality in the<br />

banking industry- some evidence from turkish and greek speaking areas in Cyprus” International<br />

<strong>journal</strong> of bank marketing, 23(7), 508-526<br />

Bedi, M. (2<strong>01</strong>0), “An integrated framework for service quality, customer satisfaction and<br />

behavioural responses in Indian banking industry- A comparison of public and private sector<br />

banks” Journal of services research, <strong>vol</strong>.10, number 1, 157-172<br />

Brogowics, A.A., Delene, L.M. and Lyth, D.M. (1990), “A synthesized service quality model<br />

with managerial implication”’ International Journal of service industry management, 1(1), 27-44


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Baumann, C., Burton, S. and Elliott, G. (2007), “Predicting consumer behavior in retail banking”<br />

The <strong>journal</strong> of business and management, 13(1), 79-96<br />

Comrey, A. (1978), “Common methodological problems in factor analyst studies”, Journal of<br />

clinical and consulting psychology, Vol. 46(1), 648-59<br />

Cronin, J.J. and Taylor, S.A. (1992), “Measuring service quality: A reexamination and<br />

extension” Journal of marketing, 56 (3), 55-68<br />

Dabholkar, P.A. (1996), “Consumer evaluations of new technology based self service operations:<br />

an investigation of alternative models”, International <strong>journal</strong> of research in marketing, 13(1), 29-<br />

51<br />

Frost, F.A. and Kumar, M. (2000), “INTSERVQUAL: An internal adaptation of the GAP model<br />

in a large service organization”’ Journal of service marketing, 14 (5), 358-77<br />

Gill, Falschner and Shachar (2006) “Factors that affect the trust of business clients in their<br />

banks” International Journal of bank marketing” 24(6), 384-4<strong>05</strong><br />

Gronroos, C. (1984), “A service quality model and itrs marketing implications”, European<br />

<strong>journal</strong> of marketing, 18 (4), 36-44<br />

Haywood-Farmer, J. (1988), “A conceptual model of service quality” International <strong>journal</strong> of<br />

operations and production management, 8 (6) 19-29<br />

Hazra, S. and Srivastava, K.B.L. (2009), “Impact of service quality on customer loyalty,<br />

commitment and trust in Indian banking sector” The IUP <strong>journal</strong> of marketing management, 8<br />

(3-4)<br />

Jham, V. and Khan, K.M. (2008), “Determinants of performance in retail banking: Perspectives<br />

of customer satisfaction and relationship marketing” Singapore Management review, 30(2)<br />

Kantsperger, R. and Kunz, W. (2<strong>01</strong>0), “Consumer trust in service companies: A multiple<br />

mediating analysis, managing service quality, 20 (1), 4-25.<br />

Korda, A.P. and Snoj, B. (2<strong>01</strong>0), “Development, validity, reliability of perceived service quality<br />

in retail banking and its relationship with perceived value and customer satisfaction” Managing<br />

global transitions, 8 (2), 187-2<strong>05</strong><br />

Kumar, M., Kee, F.T. and Charles, V. (2<strong>01</strong>0), “Comparative evaluation of critical factors in<br />

delivering service quality of banks: An application of dominance analysis in modified<br />

SERVQUAL model” International Journal of quality and reliability management, 27 (3), 351-<br />

377<br />

Levesque, T. and Mcdougall, G.H.G., (1996), “Determinants of customer satisfaction in retail<br />

banking” International Journal of Bank Marketing, 14 (7), 12-20


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Lianxi, Z. (2004), “A dimension specific analysis of performance- only measurement of service<br />

quality and satisfaction in china’s retail banking” Journal of service marketing, 18 (7), 534-546<br />

Matteson, J. (1992), “A service quality model based of ideal value standard”, International<br />

<strong>journal</strong> of service industry management, Vol. 3(3), 18-33<br />

Mishra, A. (2009), “A study on customer satisfaction in Indian Retail Banking”, The IUP Journal<br />

of Management Research, Vol. VIII, No. 11, pp. 45-61<br />

Parasuraman, A., Berry, L.L. and Zeithaml, V.A. (1985), “A conceptual model of service quality<br />

and its implications for the fuure research, Journal of marketing, 49 (4) 41-50<br />

Parasuraman, A., Zeithaml, V.A. and Berry, L.L. (1988), “SERVQUAL: A multiple – item scale<br />

for measuring customer perceptions of service quality”, Journal of retailing, 64 (1), pp.12-40<br />

Parasuraman A., Berry, L.L. and Zeithaml, V.A. (1991a), “Refinement and reassessment of the<br />

Servqual scale”, Journal of retailing, 67(4), 420- 50<br />

Philip, G. and Hazlett, S.A. (1997), “The measurement of service quality: A new P-C-P attribute<br />

model”, International <strong>journal</strong> of quality and reliability management, Vol.14 (3), 260-86<br />

Pal, M.N., and Choudhury, K. (2009), “Exploring the dimensionality of service quality: An<br />

application of TOPSIS in the Indian Banking Industry” Asia-Pacific Journal of Operational<br />

Research, 26 (1), 115-133<br />

Rai, R. (2009) “Service quality gap analysis in Indian bank: An empirical study” Paradigm, 13<br />

(2), July-dec, 29-35<br />

Sureshchandar, G.S., Rajendran, C. and Anantharaman, R.N. (2002), “Determinants of customer<br />

perceived quality: A confirmatory factor analysis approach”, Journal of services marketing,<br />

16(1), 9-34<br />

Yavas, U. Benkenstein, M. and Stuhldreier U. (2004), “Relationships between service quality<br />

and behavioral outcomes- A study of private bank customers in Germany” The <strong>international</strong><br />

<strong>journal</strong> on bank marketing, 22 (2), 144-157<br />

Zeithaml, V.V., Berry, L.L. and Parasuraman, A. (1996), “The behavioural consequences of<br />

service quality”, Journal of marketing, 60 (1), 31-46


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THE NEW BASEL ACCORD – FRAMEWORK AND ROLE OF BANKS<br />

ABSTRACT<br />

S. POONGAVANAM*<br />

*H.O.D., Department of Management studies, Ranippettai Engineering College,<br />

Thenkadapanthangal, Vellore District, Walaja Taluk - 632513.<br />

Basel I is an original accord was quite simple and adopted a “one size fits all approach” which<br />

does not distinguished different risk profiles and risk management standards across bank. It<br />

provides for the implementation of a credit risk measurement framework with a minimum capital<br />

standard of 8%. The Basel Committee on Banking Supervision has been developing a new<br />

accord, Basel II, to address the shortcomings of the current accord and to reflect the new<br />

developments in the assessment and management of risk. The Committee has developed several<br />

proposals for revising the existing accord and has conducted four quantitative impact studies<br />

related to these proposals. The greater the risk the bank is exposed, the greater the amount of<br />

capital the bank needs to hold to safeguard its solvency and overall economic stability. This<br />

paper focus on the different types of risk bankers is exposed and the approaches adopted to<br />

measure the risk.<br />

KEYWORDS: Credit risk, Operational risk, Market risk, Capital requirement, Supervisor<br />

review, Market discipline.<br />

INTRODUCTION<br />

Basel is a “pocket-sized metropolis”, the third largest in Switzerland, ensconced in a triangle<br />

bordering Germany and France where the Rhine takes a sharp northward bend. A ten-minute<br />

stroll (Leisurely walk )from the Rhine, through promenaded(Public walk) avenues,( Path) where<br />

motorists and cyclists stop and wait patiently to cross the road, is Bahnhof, the rail junction of<br />

Europe. Overlooking the Bahnhof, the majestic (royal) 18 storied glasses and metal structure of<br />

the Bank for International settlement (BIS), established in 1930. BIS is an oldest multilateral<br />

financial institution in the world.<br />

BIS houses, among other thing, the secretariat of the Basel committee on banking supervision<br />

(BCBS), formed in 1974 due to the failure of Bankhaus herstatt, which affected G-10 countries,<br />

signaling to lay down minimum banking standards. The Basel committee’s put forth series of<br />

efforts for the last 3 decades and it produced a best practice and standards in banking regulation<br />

and supervision.<br />

In 1974, Basel committee was established by the central bank Governors belonging to the group<br />

of ten countries. They meet regularly i.e., once in four month. It consists of 25 technical group<br />

and task force which also meet regularly. The committee members belong to Belgium, Canada,<br />

France, Germany, Italy, Japan, Luxembourg, Netherlands, Spain, Sweden, Switzerland, U.K.,


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and U.S. The present Chairman of this committee is Mr.Jaime Caruana, Governor, and Bank of<br />

Spain. The committee does not possess any formal supranational supervisory authority and its<br />

suggestion never intended to have a legal force. But it invent a broad supervisory standards and<br />

guidelines and recommends them in the expectation that individual authority take steps to<br />

implement them ,which are best suited to their own national .The committee reports to central<br />

governor of the group of 10 countries and seek Governors endorsement for its major program.<br />

BASEL I<br />

Basel I primarily focus banking, in the sense of deposit taking and lending so it targets on credit<br />

risk. Banks were subject to an 8% capital requirement. [Capital/credit risk ≥8%]. It was quite<br />

simple and adopted a “one size fits all approach” which does not distinguished different risk<br />

profiles and risk management standards across bank.<br />

But there were some defect in the Basel I norms.<br />

1. It focuses exclusively on credit risk and ignored all other types of risk a bank faces.<br />

2. Basel I is not structured to keep pace with the rapid rate of financial innovation as in<br />

<strong>international</strong>ly active bank.<br />

3. It is a simplistic approach to risk transference and credit risk mitigation.<br />

After serious discussion, the major shortcoming of Basel I was rectified and came up with a<br />

revised version titled “International convergence of capital measurement and capital standards: A<br />

revised framework” and more popularly known as the New Basel Accord or Basel II.<br />

BASEL II<br />

Basel II came out in 1999, followed by two more versions. Basel II was both pilloried and<br />

acclaimed (Commended) alike, but the opinion about Basel II is undivided that there was a need<br />

to change from the crude method, which would change the face of banking world. Major risks<br />

are Credit risk, Market risk and Operational risks are now covered in Basel II.<br />

he Basel II frame work has been constructed over three pillars:<br />

THREE PILLARS<br />

NEW ACCORD<br />

PILLAR - I PILLAR – II PILLAR – III<br />

Credit risk<br />

Operational risk<br />

To ensure banks maintain<br />

minimum capital requirement<br />

Better picture for the overall<br />

risk position of banks


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Market risk<br />

CAPITAL REQUIREMENT SUPERVISOR REVIEW MARKET DISCLOSURE<br />

1. MINIMUM CAPITAL REQUIREMENT –deals with maintenance of regulatory capital<br />

calculated for three major components of risk that a bank faces – credit, operational and market<br />

risk<br />

CAPITAL FOR CREDIT RISK<br />

a. Standardized approach<br />

b.Internal rating based approach (IRB) – foundation and advanced approach<br />

CAPITAL FOR MARKET RISK<br />

a. Standardized method – Maturity method and duration method<br />

b.Internal model method<br />

CAPITAL FOR OPERATIONAL RISK<br />

a. Basic indicator approach<br />

b. Standardized approach<br />

c. Advanced measurement approach<br />

2. SUPERVISORY REVIEW - This pillar seeks to ensure that a bank maintains minimum<br />

capital requirement under first pillar and using appropriate risk management techniques in<br />

measuring and managing risks in relation to bank risk profile .So RBI will intervene when<br />

deficiency are identified so that prompt and decisive action to rectify the situation is initiated<br />

instantly. It also provides a frame work for dealing with all other risk a bank face such as<br />

systematic risk, pension risk, concentration risk, strategic risk, reputation risk, liquidity risk and<br />

legal risk.<br />

3. MARKET DISCIPLINE - It greatly increases the disclosures that the banks make. This<br />

designed to allow the market to have a better picture of the over all risk position of the bank and<br />

to allow the counter party of the bank to price and deal appropriately.<br />

OPERATIONAL RISK<br />

Operational risk is the” loss arising from inadequate or failed internal processes, people and<br />

system or from external events”. With the increased use of highly automated technology, growth<br />

of e-commerce, large- scale mergers and acquisition, outsourcing of services, greater use of


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financing techniques, increases the operational risk. All these lead to an increased emphasis on<br />

the significance of sound operational risk management at banks. Operational risk could be<br />

broadly classified into internal and external risk.<br />

Operation risk calculation methods are -<br />

1. Basic Indicator Approach<br />

2. Standardized Approach<br />

3. Advanced measurement approach<br />

The first method is easiest to implement and in<strong>vol</strong>ve high capital cost. Last method is tough to<br />

implement and in<strong>vol</strong>ve low capital cost. Therefore banks must have a grip on operational risk to<br />

order to reduce the capital requirement.<br />

The following diagram depicts the various approaches for credit risk based on complexity and<br />

their impact on capital charge:<br />

FIGURE: 1<br />

COMPARISON OF CREDIT RISK AND OPERATIONAL RISK<br />

Credit risk<br />

Operational risk<br />

Simple<br />

Standardized approach<br />

Basic Indicator<br />

approach<br />

Intermediate<br />

Foundation IRB<br />

Approach<br />

Standardized approach<br />

Advanced<br />

Advanced IRB Approach<br />

Advanced<br />

Measurement approach


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APPROACHES FOR OPERATIONAL RISK CAPITAL ASSESSMENT<br />

Capital charges for operational risk, is the more controversial <strong>issue</strong>, can be based on one of the<br />

three approaches:<br />

A. BASIC INDICTOR APPROACH<br />

This is the simplest alternative with operational risk capital being factor (alpha) time’s gross<br />

revenue. It sets the capital requirements for operational risk at fixed percentage<br />

(% set by the Committee) of the average of the positive gross incomes for the previous three<br />

years. Years in which annual gross income is negative or zero should be excluded.<br />

The charges may be expressed as follows:<br />

KBIA = (∑GI 1…n X α)/N<br />

GI is positive annual gross income (net interest income plus net non interest income) over the<br />

previous 3 years<br />

α is set by the committee<br />

N is number of previous 3 years<br />

Sl.No.<br />

Income<br />

1 Interest receivable and similar income<br />

2 Interest payable and similar charges<br />

3 Income from share and other variable/fixed yield securities<br />

4 Commissions/fees receivable<br />

5 Commissions/fees payable<br />

6 Net profit or Net loss on financial operation<br />

7 Other operating income<br />

B.STANDARDISED APPROACH<br />

This is similar to BIA, but with different factor for each business line. This approach is more<br />

complex, the gross incomes are distributed among eight business lines. For each business line,<br />

the capital requirement is calculated by multiplying the average gross income generated by a<br />

business line over the three previous years by a factor assigned to each business line. Banks


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interested in applying Standardized approach must have good quality standards Viz.,<br />

organization, management, control, audit etc.<br />

The total capital charge is calculated as<br />

K TSA = {∑max [∑ (GI 1-8 ß1-8)]} /3<br />

Where<br />

GI 1-8 is gross income in a given year for each of the eight business lines.<br />

ß 1-8 is a fixed percentage set by the committee relating the level of required capital to the level<br />

of the gross income for each of the eight business lines.<br />

Business lines<br />

1.Trading and sales<br />

2.Retail Banking<br />

3.Commercial Banking<br />

4.Corporate financing<br />

5.Payment and settlement<br />

6.Agency Services<br />

7.Asset Management<br />

8.Retail Brokerage<br />

Income<br />

Interest income, profit on sale of assets, fees<br />

do<br />

do<br />

Fees based income only<br />

do<br />

do<br />

do<br />

do<br />

C. ADVANCED MEASUREMENT APPROACH<br />

Under AMA banks internal operational risk measurement system is used. Internal measurement<br />

system is required to be vetted by the supervisor. This approach allows the capital charges to be<br />

derived from the banks own loss experiences, with in a regulatory framework. Capital charges<br />

for well managed bank are reduced in this method. Banks are required to estimate expected loss<br />

(EL) and unexpected loss (UL) at 99.9 % confidence level using 5 years operation loss data<br />

through statistical analysis. Sum of EL and UL will be the capital charge for operational risk.


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There are four different advanced operational approaches to calculate capital for operational<br />

risk.- Internal measurement approach (IMA), Scenario–based Advanced Measurement approach<br />

(SAMA), Loss Distribution Approach (LDA) and Risk Driver and Control approach (RDCA)<br />

CREDIT RISK<br />

Credit risk is defined as the possibility of losses associated with reduction of credit quality<br />

borrowers or counter parties. This requires extensive review of legal documents/contract,<br />

tracking of all credit and investment related transactions, including review of past due loan<br />

report, expired facilities, excess over limits and reporting of any trends and irregularities, follow<br />

up action taken reports on non compliance areas and status reporting.<br />

Banks should now have a keen awareness of the need to identify, measure, monitor and control<br />

credit risk as well as to determine that they hold adequate capital against these risks and that they<br />

are adequately compensated for risks incurred. The Basel Committee is issuing this document in<br />

order to encourage banking supervisors globally to promote sound practices for managing credit<br />

risk.<br />

MEASUREMENT OF CAPITAL FOR CREDIT RISK<br />

Credit risk are measured by two methods<br />

1. Standardized approach<br />

2. Internal rating based – Foundation and Advanced<br />

Standardized approach which will be in operation initially, in<strong>vol</strong>ves fixed risk weight to various<br />

categories of exposure as presented in the accord with the provision that each bank’s risk grading<br />

of borrowers is to be vetted by an external rating agency. This method is simple to adopt while<br />

providing a fair estimate of capital requirement.<br />

Internal rating based approach both foundation and advanced are sophisticated system of<br />

computation determined through a combination of qualitative inputs of banks and applying Basel<br />

Formula for the purpose. Probabilities of Default (PD) data for a minimum period of five years,<br />

Loss given Default (LGD) data and Exposure at Default (EAD) data for a minimum period of<br />

seven years are required in the application of the approach. This method of computation is<br />

extremely complicated but provides a better estimate of capital requirements.<br />

Banks has option to apply any one of the above said methods, normally big banks keen to adopt<br />

IRB approach because of better risk management, but they have to allocate more capital for the<br />

increased risk


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COMPUTATION OF CAPITAL CHARGE FOR CREDIT RISK<br />

1. STANDARDIZED APPROACH - Banks are required to avail the service of external credit<br />

rating agencies to quantify required capital for credit risk. The important <strong>issue</strong> is rating agency<br />

must possess such length of data. The summary of risk weights in standardized approach.<br />

A. CLAIMS ON SOVEREIGNS<br />

Credit<br />

Assessment<br />

AAA to<br />

AA-<br />

A+ to A- BBB+ to<br />

BBB-<br />

B+ to B- Below B- Unrated<br />

Risk<br />

weightage<br />

0% 20% 50% 100% 150% 100%<br />

B.CLAIMS ON THE BIS, IMF, ECB, EC AND MDB<br />

Risk weightage 0%<br />

C.CLAIMS ON BANKS AND SECURITIES COMPANIES<br />

Credit<br />

Assessment<br />

AAA to<br />

AA-<br />

A+ to A- BBB+ to<br />

BBB-<br />

B+ to B- Below B- Unrated<br />

Risk<br />

weightage<br />

20% 50% 100% 100% 150% 100%<br />

D.CLAIMS ON CORPORATE<br />

Credit<br />

Assessment<br />

AAA to AA- A+ to A- BBB+ to<br />

BBB-<br />

B+ to B- unrated<br />

Risk<br />

weightage<br />

20% 50% 100% 150% 100%<br />

E. CLAIMS ON RETAIL PRODUCT<br />

This includes credit card, overdraft, auto loans, personal finance and small business.<br />

Risk weightage - 75%


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F.CLAIMS SECURED BY RESIDENTIAL PROPERTY<br />

Risk weightage – 35%<br />

G. CLAIMS SECURED BY COMMERCIAL REAL ESTATE<br />

Risk weightage - 100%<br />

H. OVERDUES – MORE THAN 90 DAYS OTHER THAN RESIDENTIAL MORTGAGE<br />

LOANS.<br />

Risk weightage<br />

150% for provisions are less than 20% of the outstanding amount.<br />

100% for provisions are between 20% - 49% of the outstanding amount<br />

100% with supervisory discretion to reduce to 50% for provisions are 50% and more of the<br />

outstanding amount.<br />

OTHER ASSETS<br />

Risk weight – 100%<br />

CASH<br />

Risk weightage – 0%<br />

INTERNAL RATING BASED APPROACH<br />

It is highly risk sensitive in nature, benefit in long run .Banks can identify the true nature of risk<br />

and would move towards lower risk assets that would reduce the capital requirement. Banks have<br />

to determine the following components of risk management<br />

1. Probability of default (PD)<br />

2. Exposure of default (EAD)<br />

3. Effective maturity (EM)<br />

Banks have to define risk weights by determining the cut off points between and within areas of<br />

the expected loss (EL) and unexpected loss (UL) where the regulatory capital should be held in<br />

the probability of default.<br />

FOUNDATION INTERNAL RATING BASED APPROACH – banks are allowed to develop<br />

their own empirical model to estimate the Probability of Default (PD) for individual clients or<br />

group, it can be used after getting permission from the regulator. Banks are required to apply<br />

regulator prescribed Loss Given Default (LGD) and other parameters required for calculating the


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Risk Weighted Assets (RWA).Total required capital is calculated as a fixed percentage of<br />

estimated RWA.<br />

ADVANCED INTERNAL RATING BASED APPROACH METHODS – banks are allowed<br />

to develop their own empirical model to quantify required capital for credit risk. Banks have to<br />

estimate probability of default(PD), Exposure of default(EAD),Loss give default(LGD)and other<br />

parameter required for calculating the Risk weighted asset(RWA).Then total capital required is<br />

calculated as a fixed percentage of RWA.<br />

MARKET RISK<br />

Market risk is defined as the risk of losses in on- balance sheet and off- balance sheet position<br />

arising from movement in market prices. The market risk positions that require capital charge are<br />

the following – interest rate related instruments in trading book, equities in trading book and<br />

foreign exchange open positions<br />

CAPITAL CHARGE FOR MARKET RISK<br />

Basel II suggested two broad methodologies for computation of capital charge for market risk.<br />

One is standardized method and the other is based on the banks internal risk management model<br />

method. Under standardized method there are two option available maturity method and duration<br />

method.RBI prescribed duration method to arrive capital charge for market risk. Thus banks will<br />

be required to measure the general market risk charge by calculating price sensivity (modified<br />

duration) of each position separately.<br />

Measurement of capital charge for equities in the trading book- capital charge for specific risk<br />

shall be 9% and specific risk is computed on the banks gross equity positions.<br />

The general market risk charge will also be 9% on the gross equity position. Foreign exchange<br />

open position and gold open position will have a capital charge 9%.The open position would be<br />

the limit or actual whichever is higher.<br />

Aggregation of the capital charge for market risk is arrived as follows<br />

Risk category<br />

Capital charge<br />

I. Interest rate(A+B)<br />

a. General market risk<br />

- Net position<br />

- Horizontal disallowance<br />

- Vertical disallowance


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- Options<br />

b.Specific risk<br />

II.Equity(C+D)<br />

c. General market risk<br />

d.Specific risk<br />

III.Foreign exchange and gold<br />

Total capital charge<br />

I+II+III<br />

CONCLUSION<br />

Implementation of Basel II norms (credit risk, market risk and operational risk) requires lot if<br />

information at the correct time and at the right place. It requires full computerization; lot of<br />

investment is required to set up risk management mechanism. It is easy for the public sector<br />

banks to get fund with the help of government support when compared to the private sectors they<br />

have to depend upon their own leg. By creating appropriate infrastructure facilities and by<br />

increasing the staff caliber banks would definitely be in a position to implement the guidelines<br />

fully.<br />

REFERENCE<br />

1.DimitrisN.Chorafas,Operational risk control with Basel II,Butterworth-Heinemann,2004,P.30-<br />

42.<br />

2.Ioannis S.Akkizidis;Vivianne Bouchereau,Guide to optimal Operational risk and Basel<br />

II,Auerbach publication,P.145-149.<br />

3.Anna S.Chernobai;Svetlozar T.Rachev;Frank J.Fabozzi,Operational risk,John urley and<br />

sons,Inc,2007,P.40-45.<br />

4.Michel crouhy;Dan galai;Robert mark,The essentials of risk management,P.325<br />

5.Consultative document,Operational risk,BIS,Jan.20<strong>05</strong>.<br />

6.Working paper on the regulatory Treatment of operational risk,BIS,September20<strong>01</strong>.<br />

7.www.investopedia.com<br />

8.www.indiainfoline.com


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9.www.finextra.com<br />

10.www.bis.org


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ABSTRACT<br />

CLUSTER ANALYSIS OF MUTUAL FUNDS<br />

MR. NOONEY LENIN KUMAR*; DR. V. RAMA DEVI**<br />

*Lecturer, Department of Business Studies, Nizwa College of Technology,<br />

P. O Box: 477, Postal Code 611, Nizwa, Oman.<br />

**Professor, School of Management, KL University, Vaddeswaram,<br />

Guntur (Dt.), Andhra Pradesh, India.<br />

Markets for equity shares, bonds and other fixed income instruments, real estate, derivatives and<br />

other assets have become mature and information driven. Small investors face a lot of problems<br />

in the share market due to lack of professional advice and lack of information. Mutual funds<br />

have come as a much needed help to these investors.<br />

Mutual funds which have been operating for greater than five years and performing during the<br />

period of study (i.e. 2003 – 2007) are selected for the present research. The sample for the study<br />

consists of 340 mutual funds belonging to 19 investment styles. The performance of selected<br />

funds is evaluated using rate of return of fund, standard deviation and coefficient of variation.<br />

Using cluster analysis, mutual funds are categorized into several groups based on different<br />

evaluation indices: rates of return, standard deviation, Sharpe index, Treynor index and Jensen<br />

index.<br />

KEYWORDS: Cluster analysis, Sharpe index, Treynor index and Jensen index.<br />

INTRODUCTION<br />

With the growth of the economy and the capital market in India, the size of investors has also<br />

increased rapidly. In fact, small investors in India have regularly invested in public <strong>issue</strong>s to<br />

finance big and small green-field project of known promoters. They have been benefited from<br />

such investments in the past. As the stock market crumbled later on and new <strong>issue</strong>s flopped,<br />

small investors again began looking for a good opportunity. In this situation, mutual funds<br />

proved that they are able to deliver the goods.<br />

A mutual fund is the ideal investment vehicle for today’s complex and modern financial<br />

scenario. Markets for equity shares, bonds and other fixed income instruments, real estate,<br />

derivatives and other assets have become mature and information driven. Price changes in these<br />

assets are driven by global events occurring in faraway places. Small investors face a lot of<br />

problems in the share market due to lack of professional advice and lack of information. Mutual<br />

funds have come as a much needed help to these investors.


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NEED AND SIGNIFICANCE OF THE STUDY<br />

The impressive growth of mutual funds in India has attracted the attention of Indian researchers,<br />

individuals and institutional investors during past ten years. The Indian mutual fund industry is<br />

currently in the phase of consolidation and growth stage of the product life cycle. The<br />

competition would intensify in the coming years as it happened in other industries. Hence, it is<br />

appropriate, relevant and topical to focus our attention as to how the Indian mutual industry<br />

would emerge in the coming few years to ascertain what kind of products (mutual fund schemes)<br />

would be able to win the investors’ confidence and survive in the market place.<br />

OBJECTIVES OF THE STUDY<br />

The study will have a proper direction by setting the objectives of the study. The following<br />

objectives are formulated for the present study:<br />

1. To evaluate performance of different mutual funds schemes on the basis of risk- return<br />

parameters.<br />

2. To categorize different mutual funds into several groups based on different evaluation<br />

indices: rates of return, standard deviation, Sharpe, Treynor and Jensen index<br />

RESEARCH METHODOLOGY<br />

FUNDS SELECTED FOR THE STUDY<br />

Mutual funds which have been operating for greater than five years and performing during the<br />

period of study (i.e. 2003 – 2007) were selected for the present research. There were 340 such<br />

mutual funds belonging to 19 investment styles. This include 14 money market institutional<br />

funds, 11 debt institutional funds, 47 debt short term funds, 7 debt speciality funds, 60 debt long<br />

term funds, 12 debt floating rate funds, 56 equity diversified funds, 18 equity tax savings funds,<br />

3 equity FMCG funds, 7 Equity Technology funds, 3 Equity Pharmacy funds, 1 Equity Banking<br />

fund, 3 Equity MNC funds, 5 Equity Others funds, 21 Equity Index funds, 30 Balanced funds, 12<br />

Money Income Plan funds, 29 Money Market funds and 1 Hybrid fund. The reasons for studying<br />

the performance of mutual fund for a period of five years (2003 -2007) are:<br />

‣ A large number of mutual funds have been instigated during 2003 - 2007.<br />

‣ The mutual fund industry in India registered notable growth during 2003 – 2007 Period.<br />

‣ The Indian stock market has done exceptionally well during 2003 – 2007.<br />

DATA COLLECTION AND ANALYSIS<br />

The Research Study has been based on Secondary Data. To gain an overview of the current<br />

performance trends of the Indian mutual fund industry secondary data has been an important<br />

source and was collected from the fact sheets, newspapers, <strong>journal</strong>s, books, periodicals, websites,


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etc. The data was collected from various websites of AMCs, AMFI, value research online,<br />

moneycontrol.com, etc.<br />

Performance measures like average rate of return, standard deviation, coeffiecient of variation,<br />

Sharpe, Treynor and Jensen index are calculated. A cluster analysis is done to categorize the<br />

huge amount of equity mutual funds into several groups based on different evaluation indices:<br />

rates of return, standard deviation, Sharpe, Treynor and Jensen index, that will aid investors in<br />

making the investment decision.<br />

RESULTS AND DISCUSSION<br />

COMPARISON OF DIFFERENT INVESTMENT STYLES BASED ON RETURN AND<br />

RISK PARAMETERS<br />

The return, risk and coefficient of variation are calculated for different investment styles and<br />

presented in table 1. It is observed that the average returns for investment styles range from<br />

3.88% to 55.87%. The Equity tax Savings funds have the highest returns followed by Equity<br />

Diversified and Equity others. These three investment style funds have average returns greater<br />

than 50%. Average returns are between 40% and 50% for Equity index and Equity MNC<br />

investment styles. The average returns for Equity Technology, Equity Pharmacy and Balanced<br />

investment styles are between 30% and 40%. Debt Speciality, Money Income Plan, Money<br />

Market, Money Market Institutional, Debt Short Term, Debt Long Term and Debt Institutional<br />

investment styles’ returns are less then 15%. Debt Institutional funds have the least average<br />

returns.<br />

As far as risk is concerned, Equity Diversified investment style has the highest risk. The average<br />

returns are also high for this investment style. This is followed by Equity Pharmacy and Equity<br />

others for which the risk is greater then 9. Money Market Institutional investment style has the<br />

lowest risk with 0.24. The risk per unit return ranges from 0.04 to 0.85. The risk per unit return<br />

ratio is highest for Debt Institutional investment style with 0.85. The average return for this fund<br />

is 3.88% and risk is 3.31. The risk per unit return ratio is lowest for Money Market Institutional<br />

investment style.<br />

CLUSTER ANALYSIS<br />

One can envisage significant room for growth in the mutual-fund business since a small fraction<br />

of the country's savings is invested in the capital markets. Foreign money managers have also<br />

started pouring money into the mutual fund market. In this vibrant trading atmosphere, the<br />

buyers face the challenge of diversifying their portfolio among different types of funds. A cluster<br />

analysis is done to categorize different mutual funds into several groups based on different<br />

evaluation indices: rates of return, standard deviation, Sharpe, Treynor and Jensen index, that<br />

will aid investors in making the investment decision.<br />

For an investor with inadequate knowledge and an urge for investment the results will indicate<br />

how one can diversify investment in mutual funds across sectors and styles or objectives. The<br />

past performance should be taken into account before making investment decisions since funds


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from different classifications may go together in terms of their performance as has been found in<br />

the clusters.<br />

The clusters obtained are given in Tables 2to 8. All 340 mutual funds are classified into five<br />

cluster centers out of which Cluster 2 is the largest cluster with 194 mutual funds which have the<br />

following parameters – Returns 5.80%, Risk 3.<strong>01</strong>, Sharpe -0.18, Treynor -0.58, Jensen -0.33<br />

and risk by return 0.85. 136 mutual funds belong to cluster 1, the next largest cluster with the<br />

following parameters: Returns 47.15%, Risk 30.14, Sharpe 1.43, Treynor 36.77, Jensen -1.95<br />

and risk by return 0.63. Next comes the cluster 4 which has eight mutual funds and the<br />

parameters in this cluster are Returns 44.31%, Risk 19.<strong>05</strong>, Sharpe 1.97, Treynor 1<strong>01</strong>.90, Jensen<br />

23.33 and risk by return 0.48. Clusters 3 & 5 have only one mutual fund and the parameters for<br />

the clusters are Returns 46.24%, Risk 22.64, Sharpe 1.78, Treynor -1770.87, Jensen 41.13 & risk<br />

by return 0.49 and Returns 49.08%, Risk 15.22, Sharpe 2.83, Treynor -304.40, Jensen 46.42 and<br />

risk by return 0.31 respectively.<br />

Risk is highest in cluster one and this shows that the mutual funds in this cluster have high risk.<br />

Risk by return variable is highest in cluster 2 indicating that mutual funds in this category<br />

assume more risk to generate returns. Treynor ratio is highest in cluster four indicating that the<br />

funds in this cluster have performed better. Returns, Sharpe ratio and Jensen ratio are highest in<br />

cluster five indicating better returns.<br />

In cluster 1 almost all the funds belong to Balanced and Equity Category. In cluster 2 majority<br />

of the funds belong to Debt and Money Market Category. In cluster 3 & 5 there is only one fund<br />

which belongs to Equity Category and in cluster 4 majority are Equity Category funds.<br />

In cluster 1, out of 136 funds Twenty Seven are of Balanced Investment Style, 51 Equity<br />

Diversified, Three Equity FMCG, Twenty One Equity Index, Three Equity MNC, Four Equity<br />

Others, Three Equity Pharmacy, Eighteen Equity Tax Savings and six belong to Equity<br />

Technology Investment Styles. In cluster 2 one is Balanced, Twelve Debt Floating Rate, Eleven<br />

Debt Institutional, 60 Debt Long Term, 47 Debt Short Term, Seven Debt Speciality, one Hybrid,<br />

Twelve Money Income Plan, Twenty Nine Money Market and Fourteen Money Market<br />

Institutional. Cluster 3 has only one fund which belongs to Equity Banking. There are Five<br />

Equity Diversified, one Equity Others and Two Balanced funds in cluster 4. Cluster 5 has only<br />

one which belongs to Equity Technology fund.<br />

A summary picture of cluster centers is presented in Table 3. The mix of different categories<br />

performing similarly in terms of their variables provides important investment insights to the<br />

investors.<br />

CONCLUSION<br />

The tremendous success the fund industry has enjoyed is due to the fact that, it has done more<br />

than any other financial services industry to offer investors solid products tailored to meet real<br />

financial needs, and marketed those products responsibly. But it cannot be ignored that rapid<br />

changes and market pressures are challenging. It cannot be afforded to remain "pigeonholed" by


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outdated thinking or antiquated business practices. If the long-term health of the industry and<br />

investor protection is maintained, the record of success can be maintained in the future.<br />

REFERENCES<br />

BOOKS<br />

1. Ms. Rachana Baid. (2007), Mutual Funds Products and Services, Taxmann Publications<br />

Pvt. Ltd, New Delhi.<br />

2. Amit Singh Sisodiya. (20<strong>05</strong>), Mutual Fund Industry in India – An Introduction, ICFAI<br />

Publications.<br />

3. E. Mrudula. (20<strong>05</strong>), Mutual Fund Industry in India, ICFAI publications, 20<strong>05</strong>.<br />

4. H. Sadhak. (2003), Mutual Funds in India - Marketing Strategies and Investment<br />

Practices, Second Edition, Response Books, A division of Sage Publications India Pvt.<br />

Ltd.<br />

5. Gupta, O.P. and Sehgal, S. (1997), Investment Performance of Mutual Funds – The<br />

Indian Experience’, `Indian Capital Market – Trends and Dimensions’, Tata McGraw<br />

Hill Publishing Company Ltd. (on behalf of Institute of Capital Market, Navi Mumbai).<br />

6. Donald E.Fischer and Ronald J.Jordan. (1996), Security Analysis and Portfolio<br />

Management, Prentice Hall of India, New Delhi.<br />

JOURNAL ARTICLES<br />

1. Pendaraki, K., Zopounidis, C. and Doumpos, M. (20<strong>05</strong>), “On the construction of mutual<br />

fund portfolios: A Multi-criteria methodology and an application to the Greek market of<br />

equity mutual funds”, European Journal of Operational Research, 163 (2) :462-481.<br />

2. Banikanta Mishra, Mahmud Rahman. (20<strong>01</strong>), “Measuring mutual fund performance using lower<br />

partial moment”, Global Business Trends, Contemporary Readings.<br />

3. Reilly, F.K. and E. A. Norton. “Investments (South-Western, Mason, OH)”, 2003<br />

Statman , M. , “Socially responsible mutual funds”, Financial Analysts Journal 56, 2000<br />

:30-38.<br />

4. Jaydev, M. (1996), “Mutual Fund Performance: An Analysis of Monthly Returns”,<br />

Finance India, 10 (1):73-84.<br />

5. Sharpe, W.F. (1994), “The Sharpe ratio”, Journal of Portfolio Management, 21:49-59.<br />

6. Sharpe, W.F. (1992), “Asset Allocation: Management Style and Performance<br />

Measurement,” Journal of Portfolio Management, Winter: 7-19.


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7. Sharpe, W.F. (1988), “Determining a Fund’s Effective Asset Mix,” Investment<br />

Management Review: 59-69.<br />

8. Grossman,B.R. and W.F. Sharpe. (1986), “Financial implications of South African<br />

divestment”, Financial Analysts Journal , 49: 62-66.<br />

9. Sharpe, W.F. 1966, “Mutual Fund Performance”, Journal of Business, 34 (2): 119-138.<br />

RESEARCH PAPERS/ DOCTORAL DISSERTATION<br />

1. Sharad Panwar & Madhumati.R. “Characteristics and Performance Evaluation of<br />

Selected Mutual Funds in India”, Indian Institute of Capital Markets 9th Capital Markets<br />

Conference Paper.<br />

TABLE 1: RETURN AND RISK PARAMETERS FOR DIFFERENT INVESTMENT<br />

STYLES<br />

S. No Investment Style Return (%) Risk Coefficient of Variation<br />

1 Balanced 33.42 8.71 0.26<br />

2 Debt Floating Rate 5.49 0.43 0.08<br />

3 Debt Institutional 3.88 3.31 0.85<br />

4 Debt Long Term 4.64 1.44 0.31<br />

5 Debt Short Term 5.37 0.87 0.16<br />

6 Debt Speciality 12.57 2.67 0.21<br />

7 Equity Diversified 55.54 9.7 0.18<br />

8 Equity FMCG 38.69 8.95 0.23<br />

9 Equity Index 41.64 5.58 0.13<br />

10 Equity MNC 40.61 4.39 0.11<br />

11 Equity Others 50.96 9.07 0.18<br />

12 Equity Pharmacy 34.57 9.31 0.27<br />

13 Equity Tax Savings 55.87 8.61 0.15<br />

14 Equity Technology 35.1 8.59 0.25


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15 Money Income Plan 9.78 2.29 0.23<br />

16 Money Market 5.71 0.27 0.<strong>05</strong><br />

17 Money Market Institutional 5.57 0.24 0.04<br />

TABLE 2: CLUSTER ANALYSIS<br />

Cluster<br />

Variables<br />

1 2 3 4 5<br />

Returns (%) 47.15 5.8 46.24 44.31 49.08<br />

Risk 30.14 3.<strong>01</strong> 22.64 19.<strong>05</strong> 15.22<br />

Sharpe 1.43 -0.18 1.78 1.97 2.83<br />

Treynor 36.77 -0.58 -1770.87 1<strong>01</strong>.9 -304.4<br />

Jensen -1.95 -0.33 41.13 23.33 46.42<br />

Risk/Return 0.63 0.85 0.49 0.48 0.31<br />

Number of Cases in each Cluster 136 194 1 8 1<br />

TABLE 3: SUMMARY OF CLUSTER CENTRES<br />

Cluster No<br />

No of Mutual Funds from each<br />

Category<br />

No of Mutual Funds from each<br />

Investment Styles<br />

Balanced - 27<br />

Equity Diversified - 51<br />

Equity FMCG – 3<br />

Balanced - 27 Equity Index – 21<br />

Equity - 109 Equity MNC – 3<br />

1<br />

Equity Others – 4


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Equity Pharmacy -3<br />

Equity Tax Savings - 18<br />

Equity Technology - 6<br />

Total Mutual<br />

Funds 136 136<br />

Balanced - 1 Balanced – 1<br />

Debt - 137 Debt Floating Rate - 12<br />

Hybrid - 1 Debt Institutional - 11<br />

Money Market - 55 Debt Long Term – 60<br />

Debt Short Term – 47<br />

Debt Speciality – 7<br />

Hybrid – 1<br />

Money Income Plan - 12<br />

Money Market – 29<br />

2<br />

Money Market Institutional - 14<br />

Total Mutual<br />

Funds 194 194<br />

3 Equity - 1 Equity Banking – 1<br />

Total Mutual<br />

Funds 1 1<br />

Equity - 6 Equity Diversified – 5<br />

Balanced - 2 Equity Others – 1<br />

4<br />

Balanced – 2<br />

Total Mutual<br />

Funds 8 8


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5 Equity - 1 Equity Technology - 1<br />

Total Mutual<br />

Funds 1 1<br />

TABLE 4: CLUSTER 1<br />

S. No Fund Category Fund Name Investment Style<br />

1 Balanced SBI Magnum Balanced Fund Balanced<br />

2 Balanced HDFC Prudence Fund Balanced<br />

3 Balanced Escorts Balanced Fund Balanced<br />

4 Balanced ICICI Pru Child Care Plan - Gift Pl Balanced<br />

5 Balanced Tata Balanced Fund Balanced<br />

6 Balanced DSP-ML Balanced Fund Balanced<br />

7 Balanced Kotak Balance Balanced<br />

8 Balanced Birla Sun Life 95 Fund Balanced<br />

9 Balanced Principal Child Benefit Fund - Care Balanced<br />

10 Balanced Principal Child Benefit Fund - Future Balanced<br />

11 Balanced FT India Balanced Fund Balanced<br />

12 Balanced ICICI Pru Balanced Fund Balanced<br />

13 Balanced Principal Balanced Fund Balanced<br />

14 Balanced Sundaram BNP Paribas Balanced Fund Balanced<br />

15 Balanced JM Balanced Fund Balanced<br />

16 Balanced Birla Sun Life Balance Balanced<br />

17 Balanced LIC MF Balanced Fund - C Balanced<br />

18 Balanced ING Balanced Portfolio Balanced


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19 Balanced UTI Balanced Fund Balanced<br />

20 Balanced HDFC Balanced Fund Balanced<br />

21 Balanced LIC MF Unit Linked Insurance Scheme Balanced<br />

22 Balanced HDFC Childrens Gift Fund - Investment Balanced<br />

23 Balanced Tata Young Citizens Fund Balanced<br />

24 Balanced Escorts Opportunities Fund Balanced<br />

25 Balanced Templeton India Pension Plan Balanced<br />

26 Balanced UTI Mahila Unit Scheme Balanced<br />

27 Balanced UTI CRTS 81 Balanced<br />

28 Equity Reliance Growth Fund - Retail Plan Equity Diversified<br />

29 Equity Tata Equity Opportunities Fund - Pl Equity Diversified<br />

30 Equity Sundaram BNP Paribas Select Midcap Equity Diversified<br />

31 Equity Taurus Star Share Equity Diversified<br />

32 Equity Franklin India Prima Fund Equity Diversified<br />

33 Equity HSBC Equity Fund Equity Diversified<br />

34 Equity Reliance Vision Fund - Retail Plan Equity Diversified<br />

35 Equity SBI Magnum Multiplier Plus Equity Diversified<br />

36 Equity DSP-ML Equity Fund - Regular Plan Equity Diversified<br />

37 Equity Birla Sun Life Equity Fund Equity Diversified<br />

38 Equity DSP-ML Opportunities Fund - Regular Equity Diversified<br />

39 Equity Tata Select Equity Fund Equity Diversified<br />

40 Equity Tata Pure Equity Fund Equity Diversified<br />

41 Equity Birla Sun Life Midcap Fund Equity Diversified<br />

42 Equity DSP-ML Top 100 Equity Fund - Regular Equity Diversified


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43 Equity HDFC Top 200 Fund Equity Diversified<br />

44 Equity HDFC Equity Fund Equity Diversified<br />

45 Equity HDFC Capital Builder Fund Equity Diversified<br />

46 Equity Sundaram BNP Paribas Select Focus - Equity Diversified<br />

47 Equity Principal Resurgent India Equity Fu Equity Diversified<br />

48 Equity HDFC Growth Fund Equity Diversified<br />

49 Equity Sundaram BNP Paribas Growth Fund Equity Diversified<br />

50 Equity ICICI Pru Power Equity Diversified<br />

51 Equity Kotak 30 Equity Diversified<br />

52 Equity Templeton India Growth Fund Equity Diversified<br />

53 Equity Franklin India Prima Plus Fund Equity Diversified<br />

54 Equity DWS Alpha Equity Fund Equity Diversified<br />

55 Equity Franklin India Blue chip Fund Equity Diversified<br />

56 Equity Taurus Discovery Fund Equity Diversified<br />

57 Equity ICICI Pru Dynamic Plan Equity Diversified<br />

58 Equity Birla Sun Life Advantage Fund Equity Diversified<br />

59 Equity JM Equity Fund Equity Diversified<br />

60 Equity Franklin India Opportunities Fund Equity Diversified<br />

61 Equity Escorts Growth Plan Equity Diversified<br />

62 Equity Birla Sun Life Frontline Equity Fun Equity Diversified<br />

63 Equity Sahara Growth Fund Equity Diversified<br />

64 Equity DBS Chola Growth Fund Equity Diversified<br />

65 Equity UTI Master Value Fund Equity Diversified<br />

66 Equity UTI Master Equity Plan Unit Scheme Equity Diversified


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67 Equity UTI Master growth 93 Equity Diversified<br />

68 Equity Principal Growth Fund Equity Diversified<br />

69 Equity Birla Sun Life Dividend Yield Plus Equity Diversified<br />

70 Equity UTI Index Select Equity Fund Equity Diversified<br />

71 Equity ICICI Pru Growth Plan Equity Diversified<br />

72 Equity LIC MF Growth Fund Equity Diversified<br />

73 Equity UTI Master Plus Unit Scheme Equity Diversified<br />

74 Equity UTI Equity Fund Equity Diversified<br />

75 Equity Morgan Stanley Growth Fund Equity Diversified<br />

76 Equity LIC MF Equity Fund Equity Diversified<br />

77 Equity Canara Robeco Equity Diversified Equity Diversified<br />

78 Equity Birla Sun Life India Opportunities Equity Diversified<br />

79 Equity ICICI Pru FMCG Fund Equity FMCG<br />

80 Equity SBI Magnum FMCG Fund Equity FMCG<br />

81 Equity Franklin FMCG Fund Equity FMCG<br />

82 Equity Benchmark Nifty Junior BeEs Equity Index<br />

83 Equity HDFC Index Fund - Sensex Plus Plan Equity Index<br />

84 Equity ICICI Pru SPIcE Plan Equity Index<br />

85 Equity Tata Index Fund - Nifty Plan – A Equity Index<br />

86 Equity UTI Master Index Fund Equity Index<br />

87 Equity Tata Index Fund - Sensex Plan – A Equity Index<br />

88 Equity ICICI Pru Index Fund - Nifty Plan Equity Index<br />

89 Equity UTI Nifty Index Fund Equity Index<br />

90 Equity Franklin India Index Fund - NSE Nifty Equity Index


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ZENITH<br />

International Journal of Multidisciplinary Research<br />

Vol.1 Issue 5, September 2<strong>01</strong>1, ISSN 2231 5780<br />

91 Equity Birla Index Fund Equity Index<br />

92 Equity Benchmark Nifty BeEs Equity Index<br />

93 Equity Franklin India Index Tax Fund Equity Index<br />

94 Equity UTI SUNDER Equity Index<br />

95 Equity Franklin India Index Fund - BSE Sensex Equity Index<br />

96 Equity SBI Magnum Index Fund Equity Index<br />

97 Equity HDFC Index Fund - Sensex Plan Equity Index<br />

98 Equity HDFC Index Fund - Nifty Plan Equity Index<br />

99 Equity Principal Index Fund Equity Index<br />

100 Equity LIC MF Index Fund - Sensex Plan Equity Index<br />

1<strong>01</strong> Equity LIC MF Index Fund - Sensex Advantage Equity Index<br />

102 Equity LIC MF Index Fund - Nifty Plan Equity Index<br />

103 Equity Kotak MNC Equity MNC<br />

104 Equity Birla MNC Fund Equity MNC<br />

1<strong>05</strong> Equity UTI MNC Fund Equity MNC<br />

106 Equity Birla Sun Life Basic Industries Fund Equity Others<br />

107 Equity Tata Life Sciences & Technology Fund Equity Others<br />

108 Equity UTI Services Industries Fund Equity Others<br />

109 Equity UTI Energy Fund Equity Others<br />

110 Equity SBI Magnum Pharma Fund Equity Pharmacy<br />

111 Equity Franklin Pharma Fund Equity Pharmacy<br />

112 Equity UTI Pharma & Healthcare Fund Equity Pharmacy<br />

113 Equity SBI Magnum Tax Gain Scheme Equity Tax Savings<br />

114 Equity Birla Sun Life Tax Plan Equity Tax Savings


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International Journal of Multidisciplinary Research<br />

Vol.1 Issue 5, September 2<strong>01</strong>1, ISSN 2231 5780<br />

115 Equity Birla Tax Plan 98 Equity Tax Savings<br />

116 Equity ICICI Pru Tax Plan Equity Tax Savings<br />

117 Equity HDFC Tax Saver Equity Tax Savings<br />

118 Equity Sundaram BNP Paribas Tax Saver Equity Tax Savings<br />

119 Equity HDFC Long Term Advantage Fund Equity Tax Savings<br />

120 Equity Principal Tax Savings Fund Equity Tax Savings<br />

121 Equity Birla Sun Life Tax Relief 96 Equity Tax Savings<br />

122 Equity Tata Tax Saving Fund Equity Tax Savings<br />

123 Equity Principal Personal Tax Savings Fund Equity Tax Savings<br />

124 Equity Franklin India Tax Shield Equity Tax Savings<br />

125 Equity Sahara Tax Gain Equity Tax Savings<br />

126 Equity Escorts Tax Plan Equity Tax Savings<br />

127 Equity Canara Robeco Equity Tax Saver Equity Tax Savings<br />

128 Equity BOB ELSS 96 Equity Tax Savings<br />

129 Equity UTI Equity Tax Savings Plan Equity Tax Savings<br />

130 Equity LIC MF Tax Plan Equity Tax Savings<br />

131 Equity Birla Sun Life New Millennium Equity Technology<br />

132 Equity ICICI Pru Technology Fund Equity Technology<br />

133 Equity SBI Magnum IT Fund Equity Technology<br />

134 Equity UTI Software Fund Equity Technology<br />

135 Equity Franklin Infotech Fund Equity Technology<br />

136 Equity Kotak Tech Equity Technology


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ZENITH<br />

International Journal of Multidisciplinary Research<br />

Vol.1 Issue 5, September 2<strong>01</strong>1, ISSN 2231 5780<br />

TABLE 5: CLUSTER 2<br />

S.<br />

No<br />

Fund<br />

Category Fund Name Investment Style<br />

1 Balanced UTI Childrens Career Balanced Plan Balanced<br />

2 Debt Templeton Floating Rate Income Fund Debt Floating Rate<br />

3 Debt Templeton Floating Rate Income Fund Debt Floating Rate<br />

4 Debt HDFC Floating Rate Income Fund - ST Debt Floating Rate<br />

5 Debt ICICI Pru Floating Rate Plan B Debt Floating Rate<br />

6 Debt Birla Floating Rate Fund - Long Term Debt Floating Rate<br />

7 Debt HDFC Floating Rate Income Fund - LT Debt Floating Rate<br />

8 Debt Kotak Floater Short Term Plan Debt Floating Rate<br />

9 Debt Birla Floating Rate Fund - Short Te Debt Floating Rate<br />

10 Debt JM Floater Fund - Short Term Plan Debt Floating Rate<br />

11 Debt DSP-ML Floating Rate Fund - Regular Debt Floating Rate<br />

12 Debt UTI Floating Rate Fund - STP Debt Floating Rate<br />

13 Debt JM Liquid Plus Fund - Regular Plan Debt Floating Rate<br />

14 Debt ICICI Pru Short Term Plan - Institutional Debt Institutional<br />

15 Debt ICICI Pru Income Plan - Institution Debt Institutional<br />

16 Debt Birla Sun Life Liquid Plus Fund - I Debt Institutional<br />

17 Debt Principal Income STP - Institutional Debt Institutional<br />

18 Debt Principal Income Fund - Institution Debt Institutional<br />

19 Debt ING Income Fund - Institutional Opt Debt Institutional<br />

20 Debt IDFC Liquid Plus Fund - Treasury Plan Debt Institutional<br />

21 Debt HSBC Income Fund - Investment Plan Debt Institutional


39<br />

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ZENITH<br />

International Journal of Multidisciplinary Research<br />

Vol.1 Issue 5, September 2<strong>01</strong>1, ISSN 2231 5780<br />

22 Debt JM Short Term Plan - Institutional Debt Institutional<br />

23 Debt HSBC Income Fund - STP - Institutional Debt Institutional<br />

24 Debt<br />

DBS Chola Freedom Income - STF<br />

Institutional<br />

Debt Institutional<br />

25 Debt ICICI Pru Long Term Plan Debt Long Term<br />

26 Debt Templeton India Govt. Sec. - Long Term Debt Long Term<br />

27 Debt Escorts Income Plan Debt Long Term<br />

28 Debt Birla Sun Life Income Fund Debt Long Term<br />

29 Debt Reliance Gilt Securities Fund - Long Debt Long Term<br />

30 Debt Templeton India Short Term Income Plan Debt Long Term<br />

31 Debt Birla Sun Life Gilt Plus (Regular Plan) Debt Long Term<br />

32 Debt ICICI Pru Flexible Income Plan Debt Long Term<br />

33 Debt DWS Short Maturity Fund Debt Long Term<br />

34 Debt ICICI Pru Gilt - Treasury Plan Debt Long Term<br />

35 Debt Reliance Income Fund Debt Long Term<br />

36 Debt IDFC Super Saver Income Fund - STP Debt Long Term<br />

37 Debt UTI Gilt Advantage Fund - Long Term Debt Long Term<br />

38 Debt ICICI Pru Gilt - Investment Plan Debt Long Term<br />

39 Debt UTI Bond Fund Debt Long Term<br />

40 Debt Birla Sun Life Income Plus - Retail Debt Long Term<br />

41 Debt Principal Govt Sec. Fund - Investment Debt Long Term<br />

42 Debt DWS Premier Bond Fund - Regular Plan Debt Long Term<br />

43 Debt HSBC Income Fund - Investment Plan Debt Long Term<br />

44 Debt ICICI Pru Income Plan Debt Long Term


40<br />

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ZENITH<br />

International Journal of Multidisciplinary Research<br />

Vol.1 Issue 5, September 2<strong>01</strong>1, ISSN 2231 5780<br />

45 Debt Birla Sun Life Gilt Plus (PF Plan) Debt Long Term<br />

46 Debt Kotak Gilt Investment Plan Regular Debt Long Term<br />

47 Debt Templeton India Income Fund Debt Long Term<br />

48 Debt Templeton India Govt Sec - Composition Debt Long Term<br />

49 Debt DSP-ML Govt. Sec. Fund - Plan A Debt Long Term<br />

50 Debt LIC MF Bond Fund Debt Long Term<br />

51 Debt IDFC Super Saver Income Fund Debt Long Term<br />

52 Debt Birla Sun Life G-Sec. Fund - Long T Debt Long Term<br />

53 Debt DBS Chola Gilt - Investment Plan Debt Long Term<br />

54 Debt JM G-Sec Fund - PF Plan Debt Long Term<br />

55 Debt HDFC Income Fund Debt Long Term<br />

56 Debt Reliance Medium Term Fund Debt Long Term<br />

57 Debt HDFC Gilt Fund - Short Term Plan Debt Long Term<br />

58 Debt UTI G-Sec Fund Debt Long Term<br />

59 Debt SBI Magnum Gilt - Long Term Plan Debt Long Term<br />

60 Debt Templeton India Income Builder Account Debt Long Term<br />

61 Debt Tata Gilt Securities Fund B (App) Debt Long Term<br />

62 Debt Taurus Libra Bond Debt Long Term<br />

63 Debt JM Income Fund Debt Long Term<br />

64 Debt Escorts Gilt Fund Debt Long Term<br />

65 Debt HDFC High Interest Fund Debt Long Term<br />

66 Debt Canara Robeco Gilt PGS Debt Long Term<br />

67 Debt SBI Magnum Income Fund Debt Long Term<br />

68 Debt JM G-Sec Fund (RP) Debt Long Term


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ZENITH<br />

International Journal of Multidisciplinary Research<br />

Vol.1 Issue 5, September 2<strong>01</strong>1, ISSN 2231 5780<br />

69 Debt LIC MF Govt. Sec. Fund Debt Long Term<br />

70 Debt Sundaram BNP Paribas Bond Saver Debt Long Term<br />

71 Debt HDFC Gilt Fund - Long Term Plan Debt Long Term<br />

72 Debt Birla Sun Life Short Term Opportunities Debt Long Term<br />

73 Debt UTI Gilt Advantage Fund - LTP - PF Debt Long Term<br />

74 Debt Tata Gilt High Fund Debt Long Term<br />

75 Debt UTI Gilt Advantage Fund - LTP- PF Debt Long Term<br />

76 Debt Sahara Gilt Fund Debt Long Term<br />

77 Debt Taurus Libra Gilt Debt Long Term<br />

78 Debt BOB Gilt Fund Debt Long Term<br />

79 Debt Tata Gilt Retirement Plan (28/02/13 Debt Long Term<br />

80 Debt Tata Gilt Retirement Plan (28/02/09 Debt Long Term<br />

81 Debt Tata Gilt Retirement Plan (28/02/11 Debt Long Term<br />

82 Debt Tata Gilt Retirement Plan (28/02/10 Debt Long Term<br />

83 Debt Tata Gilt Retirement Plan (28/02/25 Debt Long Term<br />

84 Debt Franklin Indian International Fund Debt Long Term<br />

85 Debt Reliance Short Term Plan Debt Short Term<br />

86 Debt ING Short Term Income Fund Debt Short Term<br />

87 Debt Tata Short Term Bond Fund Debt Short Term<br />

88 Debt ICICI Pru Short Term Plan Debt Short Term<br />

89 Debt Kotak Bond - Short Term Plan Debt Short Term<br />

90 Debt JM Short Term Plan Debt Short Term<br />

91 Debt Birla Sun Life Short Term Fund Debt Short Term<br />

92 Debt Kotak Bond (Regular Plan) Debt Short Term


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ZENITH<br />

International Journal of Multidisciplinary Research<br />

Vol.1 Issue 5, September 2<strong>01</strong>1, ISSN 2231 5780<br />

93 Debt HDFC High Interest Fund - Short Term Debt Short Term<br />

94 Debt Principal Income Fund - Short Term Debt Short Term<br />

95 Debt Birla Sun Life Gilt Plus (Liquid Plan) Debt Short Term<br />

96 Debt Birla Sun Life Liquid Plus Fund - R Debt Short Term<br />

97 Debt IDFC Dynamic Bond Fund Debt Short Term<br />

98 Debt Tata Income Fund Debt Short Term<br />

99 Debt HDFC Short Term Plan Debt Short Term<br />

100 Debt DWS Insta Cash Plus Fund Debt Short Term<br />

1<strong>01</strong> Debt IDFC Liquid Plus Fund - Treasury Plan Debt Short Term<br />

102 Debt DBS Chola Freedom Income - Short Te Debt Short Term<br />

103 Debt Canara Robeco Income Debt Short Term<br />

104 Debt Canara Robeco Liquid Plus - Retail Debt Short Term<br />

1<strong>05</strong> Debt DSP-ML Short Term Fund Debt Short Term<br />

106 Debt HSBC Income Fund - Short Term Plan Debt Short Term<br />

107 Debt Principal Income Fund Debt Short Term<br />

108 Debt SBI Magnum Gilt - Short Term Plan Debt Short Term<br />

109 Debt Templeton India Govt Sec - Treasury Debt Short Term<br />

110 Debt Kotak Bond (Deposit Plan) Debt Short Term<br />

111 Debt Kotak Gilt Savings Plan Debt Short Term<br />

112 Debt DSP-ML Govt. Sec. Fund - Plan B Debt Short Term<br />

113 Debt Tata Dynamic Bond Fund - Plan A Debt Short Term<br />

114 Debt Tata Dynamic Bond Fund - Plan B Debt Short Term<br />

115 Debt Tata Income Plus Fund - Plan B Debt Short Term<br />

116 Debt Tata Gilt Securities - Short Maturity Debt Short Term


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ZENITH<br />

International Journal of Multidisciplinary Research<br />

Vol.1 Issue 5, September 2<strong>01</strong>1, ISSN 2231 5780<br />

117 Debt Sahara Income Fund Debt Short Term<br />

118 Debt IDFC G-Sec. Fund - Investment Plan Debt Short Term<br />

119 Debt Tata Income Plus Fund - Plan A Debt Short Term<br />

120 Debt IDFC Super Saver Income Fund - Media Debt Short Term<br />

121 Debt LIC MF Short Term Plan Debt Short Term<br />

122 Debt ING Income Fund Debt Short Term<br />

123 Debt Principal Govt Sec. Fund - Savings Debt Short Term<br />

124 Debt BOB Income Fund Debt Short Term<br />

125 Debt IDFC G-Sec. Fund - Short Term Plan Debt Short Term<br />

126 Debt DSP-ML Bond Fund - Retail Plan Debt Short Term<br />

127 Debt UTI Liquid Plus Fund - Retail Plan Debt Short Term<br />

128 Debt Birla Sun Life G-Sec. Fund - Short Debt Short Term<br />

129 Debt Reliance Gilt Securities Fund- Short Debt Short Term<br />

130 Debt ING Gilt Fund - Regular Plan Debt Short Term<br />

131 Debt DBS Chola Triple Ace Debt Short Term<br />

132 Debt LIC MF Childrens Fund Debt Speciality<br />

133 Debt Canara Robeco CIGO Debt Speciality<br />

134 Debt ICICI Pru Child Care Plan - Study P Debt Speciality<br />

135 Debt SBI Magnum Childrens Benefit Plan Debt Speciality<br />

136 Debt HDFC Childrens Gift Fund - Savings Debt Speciality<br />

137 Debt DSP-ML Saving Plus Fund - Moderate Debt Speciality<br />

138 Debt UTI Monthly Income Scheme Debt Speciality<br />

139 Hybrid UTI Variable Investment Scheme - Income Hybrid<br />

140 Money Market FT India Monthly Income Plan Money Income Plan


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ZENITH<br />

International Journal of Multidisciplinary Research<br />

Vol.1 Issue 5, September 2<strong>01</strong>1, ISSN 2231 5780<br />

141 Money Market Birla Sun Life Monthly Income Money Income Plan<br />

142 Money Market LIC MF Monthly Income Plan Money Income Plan<br />

143 Money Market Templeton Monthly Income Plan Money Income Plan<br />

144 Money Market ICICI Pru Monthly Income Plan Money Income Plan<br />

145 Money Market Birla Sun Life Monthly Income Plan Money Income Plan<br />

146 Money Market Principal Monthly Income Plan Money Income Plan<br />

147 Money Market SBI Magnum Monthly Income Plan Money Income Plan<br />

148 Money Market Tata Monthly Income Fund Money Income Plan<br />

149 Money Market DBS Chola Monthly Income Plan - Regular Money Income Plan<br />

150 Money Market JM Monthly Income Plan Money Income Plan<br />

151 Money Market Templeton Monthly Income Plan Money Income Plan<br />

152 Money Market LIC MF Liquid Fund Money Market<br />

153 Money Market Canara Robeco Liquid Money Market<br />

154 Money Market HDFC Cash Management Fund - Saving Money Market<br />

155 Money Market SBI Magnum Insta Cash Fund - Liquid Money Market<br />

156 Money Market Birla Sun Life Cash Manager Money Market<br />

157 Money Market HDFC Cash Management Savings Plus - Money Market<br />

158 Money Market Birla Cash Plus - Retail (Plan B) Money Market<br />

159 Money Market HDFC Liquid Fund Money Market<br />

160 Money Market SBI Magnum Insta Cash Fund (Cash) Money Market<br />

161 Money Market Tata Liquid Fund Money Market<br />

162 Money Market Templeton India Treasury Mgmt Account Money Market<br />

163 Money Market UTI Money Market Fund Money Market<br />

164 Money Market ING Liquid Fund Money Market


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ZENITH<br />

International Journal of Multidisciplinary Research<br />

Vol.1 Issue 5, September 2<strong>01</strong>1, ISSN 2231 5780<br />

165 Money Market Sundaram BNP Paribas Money Fund Money Market<br />

166 Money Market HSBC Cash Fund Money Market<br />

167 Money Market DBS Chola Liquid Fund - Regular Money Market<br />

168 Money Market ICICI Pru Liquid Plan Money Market<br />

169 Money Market Principal Cash Mgmt - Liquid Fund Money Market<br />

170 Money Market DSP-ML Liquidity Fund Money Market<br />

171 Money Market BOB Liquid Fund Money Market<br />

172 Money Market Reliance Liquid Fund - Treasury Plan Money Market<br />

173 Money Market JM High Liquidity Fund Money Market<br />

174 Money Market Kotak Liquid Regular Money Market<br />

175 Money Market UTI Liquid Fund - Short Term Plan – Money Market<br />

176 Money Market HDFC Cash Management Fund - Call Plan Money Market<br />

177 Money Market IDFC Cash Fund Money Market<br />

178 Money Market UTI Liquid Fund - Cash Plan - Growth Money Market<br />

179 Money Market ICICI Pru Liquid (Sweep Plan) Money Market<br />

180 Money Market Reliance Liquid Fund - Cash Plan Money Market<br />

181 Money Market ICICI Pru Liquid - Institutional Pl<br />

182 Money Market HDFC Liquid Fund - Premium Plus<br />

Money Market<br />

Institutional<br />

Money Market<br />

Institutional<br />

183 Money Market HDFC Liquid Fund - Premium Plan<br />

184 Money Market Tata Liquid Fund - High Investment<br />

185 Money Market Birla Sun Life Cash Manager - Inst.<br />

Money Market<br />

Institutional<br />

Money Market<br />

Institutional<br />

Money Market<br />

Institutional


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ZENITH<br />

International Journal of Multidisciplinary Research<br />

Vol.1 Issue 5, September 2<strong>01</strong>1, ISSN 2231 5780<br />

186 Money Market Tata Liquid - Super High Investment<br />

187 Money Market Birla Sun Life Cash Plus - Institutional<br />

188 Money Market DBS Chola Liquid Fund - Institution<br />

189 Money Market Kotak Liquid - Institutional Plan<br />

190 Money Market Principal Cash Mgmt - Liquid - Inst<br />

191 Money Market JM High Liquidity Fund - Institutional<br />

192 Money Market IDFC Cash Fund - Institutional Plan<br />

193 Money Market ICICI Pru Liquid Plan - Institution<br />

194 Money Market HSBC Cash Fund - Institutional Plan<br />

Money Market<br />

Institutional<br />

Money Market<br />

Institutional<br />

Money Market<br />

Institutional<br />

Money Market<br />

Institutional<br />

Money Market<br />

Institutional<br />

Money Market<br />

Institutional<br />

Money Market<br />

Institutional<br />

Money Market<br />

Institutional<br />

Money Market<br />

Institutional<br />

TABLE 6: CLUSTER 3<br />

S. No Fund Category Fund Name Investment Style<br />

1 Equity Reliance Banking Fund Equity Banking<br />

TABLE 7: CLUSTER 4<br />

S. No Fund Category Fund Name Investment Style<br />

1 Equity SBI Magnum Contra Fund Equity Diversified<br />

2 Equity SBI Magnum Global Fund Equity Diversified<br />

3 Equity ING Core Equity Fund Equity Diversified


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ZENITH<br />

International Journal of Multidisciplinary Research<br />

Vol.1 Issue 5, September 2<strong>01</strong>1, ISSN 2231 5780<br />

4 Equity BOB Growth Fund Equity Diversified<br />

5 Equity UTI Master share Equity Diversified<br />

6 Equity Birla Sun Life Buy India Fund Equity Others<br />

7 Balanced BOB Balance Fund Balanced<br />

8 Balanced Templeton (I) Childrens Asset Plan Balanced<br />

TABLE 8: CLUSTER 5<br />

S. No Fund Category Investment Style Investment Style<br />

1 Equity DSP-ML Technology.Com - Regular Plan Equity Technology


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48<br />

ZENITH<br />

International Journal of Multidisciplinary Research<br />

Vol.1 Issue 5, September 2<strong>01</strong>1, ISSN 2231 5780<br />

ABSTRACT<br />

GLOBAL TERRORISM INSURANCE: AN OVERVIEW<br />

DR. RENU VERMA*; DR MANISHA SINGH**<br />

*Faculty, IBS, IDPL Complex, Old Delhi Gurgaon Road,<br />

Dundahera, Gurgaon – 122<strong>01</strong>6.<br />

**Faculty, IBS, IDPL Complex, Old Delhi Gurgaon Road,<br />

Dundahera, Gurgaon – 122<strong>01</strong>6.<br />

Terrorist attacks today, are not limited to any specific part of the world but have acquired an all<br />

pervasive and global nature. The risk of terrorism is proving to be a complicated and most<br />

important challenge for the insurance industry, governments as well as society as a whole. In this<br />

regard, the governments of various countries have taken strategic steps for creating laws and<br />

policies related to terrorism insurance. This paper is an attempt to throw light on the growing<br />

need of terrorism insurance as a risk mitigating tool across the nations. It also tries to examine<br />

the present status of terrorism insurance market in global perspective as well as challenges and<br />

<strong>issue</strong>s faced by Indian terrorism market.<br />

KEYWORDS: Terrorism Insurance, Terrorism Insurance Pool, Risk mitigating tool, Premium<br />

rates, Reinsurance, political risk atlas, Risk coverage.<br />

INTRODUCTION<br />

Opportunities exist where uncertainties lie. And there is no dearth of uncertainties in today‘s fast<br />

paced life due to various catastrophic disasters. It is not that catastrophic perils were not there<br />

earlier. However, with passage of time, they have taken gigantic proportion. This is mainly<br />

because of a major addition to the natural calamities in the form of man made catastrophe which<br />

includes war, disasters due to mad-made errors, as well as terrorism. So much so that, these manmade<br />

disasters have outnumbered the natural calamities happening in a year. The following<br />

graph reveals the number of occurrences globally due to various catastrophic (natural and manmade)<br />

events:<br />

FIGURE -1 NUMBER OF NATURAL CATASTROPHIC EVENTS AND MAN MADE<br />

DISASTERS WORLD WIDE


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ZENITH<br />

International Journal of Multidisciplinary Research<br />

Vol.1 Issue 5, September 2<strong>01</strong>1, ISSN 2231 5780<br />

It is clearly evident from the graph that man made disasters have always been higher in number<br />

than natural disasters and there has been a sharp increase in the number of such disasters globally<br />

during the last decade. Though these man made disaster are result of various human activities<br />

like war, war like situation, rebels, maritime and aviation disasters etc., the most alarming factor<br />

responsible for increase in the number worldwide has been terrorism. Most noteworthy fact is<br />

that these terrorist activities are increasing in spite of increasing government expenditure on<br />

security systems of the countries worldwide and so is the losses incurred due to these attacks.<br />

This speaks about the need of an extra measure to combat the situation by compensating the<br />

losses incurred. And here in lies the opportunities for terrorism insurance market world wide.<br />

This paper is an attempt to throw light on the growing need of terrorism insurance as a risk<br />

mitigating tool across the nations. It also tries to examine the present status of terrorism<br />

insurance market in global perspective. An attempt has also been made to analyze various <strong>issue</strong>s<br />

and challenges faced by Indian insurance market.<br />

WHAT IS TERRORISM INSURANCE?<br />

Terrorism insurance is the insurance protection against the risk of terrorist attacks. In other<br />

words, in terrorism insurance, the insured (individual or business house) is assured by the insurer<br />

(insurance company) of either partial or full compensation in case of loss caused to life/property<br />

due to terrorist attacks. This need based form of insurance is the result of global terror<br />

phenomenon. The terror attacks, especially the bombing of World Trade Center, U.S.A in 20<strong>01</strong>,<br />

have highlighted the fact, to the entire world, about its global reach. After this event, the<br />

governments of various countries have taken relevant steps for providing this coverage. In this<br />

regard, they have adopted different criteria to design products related to terrorism insurance<br />

according to the prevailing acts or regulations in those countries. This is the reason; the terrorism<br />

insurance products are not similar globally in all respect.<br />

In our own domestic front, the terror attack in Mumbai on November 26 th , 2008 has made all the<br />

concerned parties to realize its need. Terrorism insurance coverage is provided as an additional<br />

cover to all risk underwritten; under fire, engineering and property damage. Recently (after<br />

26/11), insurance companies in India have also started offering standalone terrorism insurance<br />

products (mostly the terror cover is offered as an add-on cover with personal accident policy<br />

cover). In Indian context, in case of property covered under terrorism insurance, the coverage is<br />

against loss by fire due to terrorist activities. Among individual covers, terror attacks are a part of<br />

the standard cover in motor insurance.<br />

Terrorism insurance covers life as well as non life risks. In life insurance policies terrorism cover<br />

is mostly inbuilt in their product whereas in case of non life policies, the coverage is optional,<br />

i.e., by paying an additional amount, a person can get cover against terrorism. This cover is taken<br />

at the time of inception of the policy but mid term cover is also provided at differential premium<br />

rates since 2009 as per IRDA guidelines. Premium rates for terrorism insurance vary on the basis<br />

of risk and sum insured. Therefore the premium rates are different for life, residential properties,<br />

industrial and non industrial properties as well as different slabs of sum assured.


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ZENITH<br />

International Journal of Multidisciplinary Research<br />

Vol.1 Issue 5, September 2<strong>01</strong>1, ISSN 2231 5780<br />

REVIEW OF LITERATURE<br />

Very few studies have been conducted on terrorism insurance as it is a recent phenomenon. In<br />

fact it was rarely heard concept before 9/11 attack in 20<strong>01</strong>. Therefore not much data is available<br />

on terrorism insurance. As far as developed countries are concerned, some organized reports and<br />

data related to terrorism insurance is available but the availability of the same in Indian context is<br />

very poor. Major portion of data has been extracted from IRDA website. Researchers have tried<br />

to review the literature available on this topic. Following few studies can be quoted here:<br />

Dwight M. Jaffee and Prof. Thomas Russell 1 (20<strong>05</strong>) have concluded that private insurers are<br />

capable of handling terrorism losses up to the magnitude of those incurred on 9/11. Even if<br />

terrorism insurance became unavailable, the equity market alone would provide enough of a risk<br />

transfer mechanism and therefore the case for a permanent program of government support to the<br />

insurance industry has not been made.<br />

Erwann Michel-Kerjan, Paul Raschkyc 2 (2<strong>01</strong>1) in their working paper have examined the effects<br />

of Government intervention on the market for corporate terrorism insurance. On the basis of their<br />

study, they have concluded that, a decade after 9/11, the role of government remains critical, not<br />

only in trying to prevent future attacks, but also in providing a necessary backstop to stabilize<br />

terrorism insurance markets.<br />

Erwann O. Michel-Kerjan 3 with P. Raschky and H. Kunreuther (2<strong>01</strong>0) has undertaken a study<br />

showing that 60% of large corporations in the US have TRIA insurance, but 40% of them have<br />

declined that coverage and larger companies more likely to purchase coverage. Property<br />

insurance costs 8 times more than terrorism insurance for the same coverage nationally. Finally,<br />

corporate demand for catastrophe insurance is found to be more price inelastic (i.e. less sensitive<br />

to price) than for non-catastrophe insurance (different than results on homeowners‘)<br />

Kumar Jagendra 4 (2<strong>01</strong>0) has concluded that while <strong>international</strong> terrorism will continue to be the<br />

focus of insurers'/reinsurers attention through the 2<strong>01</strong>0s, domestic terrorist attacks should also be<br />

monitored. There have been several high profile domestic attacks recently, with bombings in<br />

Russia, Northern Ireland and Spain, while the military defeat of the Tamil Tigers in Sri Lanka in<br />

2009 was an important development.<br />

Manoj Kumar 5 (2003) found out that putting a price tag on a terror attack is extraordinarily<br />

difficult. This is no surprise as risk modeling and simulation techniques on terrorism are further<br />

being strengthened by dedicated researches. Coverage is likely to further get broadened with<br />

business interruption getting its due share and the pricing becoming logical, affordable and<br />

reasonable.<br />

Maplecroft 6 has prepared a political risk atlas 2<strong>01</strong>0, where in it has rated and ranked 196<br />

countries across the political risk <strong>issue</strong>s most commonly found on corporate risk registers. These<br />

include: conflict and terrorism, regime stability, the rule of law, corruption, expropriation, etc. It<br />

has found that out of the South Asian nations (neighboring countries of India), most of them rank<br />

very high in term of terrorism risk.


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G V Rao 7 (2<strong>01</strong>0) in his study suggested that the lending institutions including the Banks and the<br />

RBI need to look at the insurance coverage, covering all their credit repayment exposures to<br />

determine if their risk exposures, including the terrorism risk, are fully covered. The banks<br />

should re-examine the nature of their NPAs and assess the extent to which lack of adequate<br />

insurance has been responsible to magnify their NPA losses. He also noted that it is for the<br />

authorities and the players to change the risk perceptions of the buyers and to create superior<br />

awareness of risk exposures among them.<br />

The Marsh Report 8 (2<strong>01</strong>0) reveals that despite an ever-changing terrorism risk insurance market,<br />

businesses from every industry sector in USA, continue to purchase coverage - more than 60<br />

percent of organizations surveyed by Marsh bought coverage in 2009. Terrorism insurance and<br />

associated risk management strategies are dynamic and complex <strong>issue</strong>s, with many<br />

interdependent factors contributing to managing and risk. Foreign relations, the effectiveness of<br />

homeland defense, and the ambiguous nature of the risk make terrorism losses extremely<br />

challenging to predict and quantify. It is difficult for insurers to effectively price and reserve<br />

capacity for their potential exposure to catastrophic terrorism losses.<br />

Verma Renu and Dr. Manisha Singh 9 (2<strong>01</strong>1) have concluded that the demand and supply side<br />

factors, which are responsible for the development of terrorism insurance business, seem to be<br />

very weak. To find an optimum solution of the entire problem related to terrorism insurance, an<br />

integrated approach by all concerned parties is a must. Consolidated efforts by all the<br />

stakeholders (government, regulator, insurance companies and policyholders) can help to<br />

develop this sector, provided they play their roles in a very positive and innovative manner.<br />

After reviewing the existing literature on terrorism insurance, researchers have found that no<br />

attempts have been made to compare Indian terrorism market scenario with that of rest of the<br />

world. This paper is an attempt to research on this particular aspect of the problem.<br />

OBJECTIVES OF THE STUDY<br />

1. To study as to why terrorism insurance has attracted the attention of all the stakeholders<br />

since last decade.<br />

2. To study the present scenario of terrorism insurance in India vis-a-vis rest of the world.<br />

3. To analyze various critical <strong>issue</strong>s related to terrorism insurance market in India and<br />

suggest various measures for further development.<br />

WHY IS TERRORISM INSURANCE REQUIRED?<br />

Terrorism has become a global phenomenon. The recent world history has witnessed frequent<br />

terrorist attacks, whether big or small and the number of such attacks per year has increased<br />

rapidly. The new millennium has started with a major terrorist attack of 9-11-20<strong>01</strong> on World<br />

Trade Center in USA which is one of the most powerful nations of the world. This itself speaks<br />

<strong>vol</strong>ume about growing audacity and technological sophistication of the terrorist outfits.


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Terrorism insurance, thus, has become a need based insurance product. This is evident from the<br />

attacks that we have witnessed in the recent years as shown in the following table:<br />

TABLE-1 TERRORISM EVENTS IN 2<strong>01</strong>0<br />

Date Country/Place Event No. of victims<br />

1/1/2<strong>01</strong>0 Pakistan, Lakki<br />

Marwat<br />

Car bomb explodes in a crowded<br />

<strong>vol</strong>leyball stadium<br />

1<strong>01</strong> dead, 60<br />

injured<br />

20/1/2<strong>01</strong>0 Mexico, Durango Riots in Prison 24 dead<br />

18/2/2<strong>01</strong>0 Pakistan, Terah<br />

valley<br />

Suicide bomb attack outside a mosque 29 dead, 50<br />

injured<br />

26/2/2<strong>01</strong>0 Mali, Timbuktu Stampede in mosque 24 dead, 55<br />

injured<br />

1/3/2<strong>01</strong>0 Nigeria, Zamfara,<br />

Anka, Bungudu<br />

8/3/2<strong>01</strong>0 Pakistan, Punjab,<br />

Lahore<br />

Lead poisoning outbreak from illegal<br />

gold mining<br />

Suicide bomb attack on a police<br />

intelligence unit<br />

400 dead<br />

15 dead, 60<br />

injured<br />

12/3/2<strong>01</strong>0 Pakistan, Lahore 2 suicide bombings in residential area<br />

and shopping district<br />

29/3/2<strong>01</strong>0 Russia, Moscow Bomb explosion at the metro stations<br />

Lubyanka and Park Kultury<br />

45 dead, 120<br />

injured<br />

40 dead,160<br />

injured<br />

6/4/2<strong>01</strong>0 Pakistan, Lowerdir,<br />

Timergarah<br />

Suicide bomb attack on a political party<br />

rally<br />

38 dead, 100<br />

injured<br />

7/4/2<strong>01</strong>0 –<br />

8/4/2<strong>01</strong>0<br />

Kyrgyzstan,<br />

Bishkek<br />

Clashes between demonstrator and police 75 dead, 1500<br />

injured<br />

10/4/2<strong>01</strong>0 Thailand, Bangkok Clashes between security forces and anti<br />

government protestors<br />

21 dead, 312<br />

injured<br />

19/4/2<strong>01</strong>0 Pakistan, North<br />

West Frontier<br />

Suicide bomb attack on protest rally at<br />

Qissa Khwani Bazar<br />

24 dead, 42<br />

injured<br />

22/4/2<strong>01</strong>0 Thailand, Bangkok Clashes between military troops and anti<br />

government protestors<br />

3 dead, 75<br />

injured<br />

13/5/2<strong>01</strong>0<br />

-<br />

Thailand, Bangkok<br />

Clashes between military troops and anti<br />

government protestors (over 30 buildings<br />

24 dead, 198


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16/5/2<strong>01</strong>0 damaged) injured<br />

19-<br />

20/5/2<strong>01</strong>0<br />

Thailand, Bangkok<br />

Clashes between military troops and anti<br />

government protestors<br />

41 dead, 346<br />

injured<br />

28/5/2<strong>01</strong>0 Pakistan, Lahore Bomb attacks on two mosque 80 dead, 107<br />

injured<br />

10/6/2<strong>01</strong>0 Afghanistan,<br />

Kandahar,<br />

Arghandab<br />

Suicide bombing at a wedding party 66 dead, 70<br />

injured<br />

10-<br />

14/6/2<strong>01</strong>0<br />

Kyrgyzstan, Osk,<br />

Jalalabat, Batken<br />

Riots between ethnic communities 118 dead, 600<br />

injured<br />

1/7/2<strong>01</strong>0 Pakistan, Lahore Suicide bombings at shrine 50 dead<br />

9/7/2<strong>01</strong>0 Pakistan,<br />

Mohmand Agency<br />

Suicide bombings at tribal meeting<br />

1<strong>05</strong> dead<br />

15/7/2<strong>01</strong>0 Iran, Zahedan Suicide bombings at mosque 27 dead, 270<br />

injured<br />

24/7/2<strong>01</strong>0 Germany, Duisburg Stampede at Loveparade 2<strong>01</strong>0 21 dead, 500<br />

injured<br />

11/8/2<strong>01</strong>0 Uganda, Kampala Series of bombs explode on World Cup<br />

Final gathering<br />

84 dead, 114<br />

injured<br />

1/9/2<strong>01</strong>0 Pakistan, Lahore Series of bombs explosions in Lahore 38 dead<br />

2/9/2<strong>01</strong>0 Pakistan, Lahore Series of suicide bombings in mosques 35 dead<br />

3/9/2<strong>01</strong>0 Pakistan, Quetta Suicide bombing at religious procession 65 dead, 150<br />

injured<br />

7/9/2<strong>01</strong>0 Pakistan, Kohat Suicide bombing at police station 20 dead, 50<br />

injured<br />

4/10/2<strong>01</strong>0 Hungary, Ajka,<br />

Kolontar<br />

Toxic leak at aluminum factory 9 dead, 150<br />

injured<br />

11/11/2<strong>01</strong>0 Pakistan, Karachi Suicide bombing at government building 20 dead<br />

22/11/2<strong>01</strong>0 Combodia, Koh<br />

Pich, Phnom Penh<br />

Stampede on bridge during a festival 375 dead, 758<br />

injured


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2/12/2<strong>01</strong>0 Nigeria, Lagos Fuel tanker explodes on motorway 21 dead<br />

10/12/2<strong>01</strong>0 Pakistan, Khyber-<br />

Pakhtunkhwa,<br />

Hangu<br />

Suicide bombing at hospital<br />

20 dead<br />

24/12/2<strong>01</strong>0 Nigeria, Jos Series of bomb explosions at churches on<br />

Christmas eve<br />

32 dead, 74<br />

injured<br />

25/12/2<strong>01</strong>0 Pakistan, Khar,<br />

Bajaur<br />

Suicide bombing at UN food distribution<br />

centre<br />

45 dead<br />

Source: Swiss Re Economic Research and Consulting<br />

The list is endless and so is the number of people who have been affected due to these attacks.<br />

Numerous lives have been lost besides huge material damage in the form of property and<br />

business. If we closely analyze this table, we find that out of 36 incidents in the year 2<strong>01</strong>0<br />

claiming so many lives, incidents relating to terrorism counts up to 21 claiming 979 lives out of<br />

the total 2135, besides injuring almost 1500 people (1482 to be exact). Besides loss of life, loss<br />

to the property and business and therefore livelihood is also immense. These attacks have created<br />

a need for taking sincere efforts in the area of terrorism insurance as the loss of life and property<br />

is enormous and beyond the capacity of any single institution to compensate. To take serious<br />

measures against and devise appropriate policies against terrorism is not only necessary to cover<br />

millions of lives and property but also for long term economic development of the emerging<br />

countries like India.<br />

India is in close proximity with countries ranking in top 30 list of extreme risk category<br />

according to ‗Maplecroft Political Risk Atlas 2<strong>01</strong>0‘ as shown in the following table:<br />

TABLE -2 RANKING ON THE BASIS OF RISK CATEGORY<br />

Rank Country Category: Risk<br />

3 Iraq Extreme Risk<br />

4 Myanmar Extreme Risk<br />

5 Afghanistan Extreme Risk<br />

6 Sudan Extreme Risk<br />

11 Pakistan Extreme Risk<br />

23 Bangladesh High Risk


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27 India High Risk<br />

29 Sri Lanka High Risk<br />

Source: ‗Maplecroft Political Risk Atlas 2<strong>01</strong>0‘<br />

This table speaks <strong>vol</strong>ume about the need and importance of terrorism insurance. India itself is<br />

rated high risk in the categories of conflict and political violence, and terrorism. The news that<br />

world‘s most wanted terrorist who was killed recently was hiding just 100 km away from Indian<br />

boundary itself puts forward a strong case of greater terrorism coverage in India. Therefore, in<br />

the light of these facts, terrorism today, can be said to be in its worst form than ever and requires<br />

urgent attention from all the stakeholders. After 26/11 Mumbai terror attack, terrorism insurance<br />

is rapidly gaining importance in India.<br />

India is, at present, an investment hub world wide, however terrorism in neighboring countries<br />

has been creating hurdles in the way of development by reducing the inflow of foreign capital<br />

due to fear of terrorist attacks. This is evident from the news of killing of Osama Bin Laden in<br />

Pakistan by US security forces on 2 nd May 2<strong>01</strong>1 and subsequent rise in global stocks as well as<br />

huge foreign investment of $ 1.61b in Indian equities market. This shows how terrorism threat<br />

has been largely responsible in curbing economic growth and development world wide.<br />

COMPARISION BETWEEN INDIAL AND GLOBAL TERRORISM INSURANCE<br />

MARKET<br />

This section compares and analyses the Indian terrorism insurance market scenario with world<br />

scenario. As the subject has attracted the attention only after the terrorist attacks of 9/11, the<br />

systematic data is not available world wide. Few variables have been selected as per the<br />

availability of data for the purpose of comparison. These variables include: features of terrorism<br />

insurance programs in different countries, extent and scope of terrorism insurance coverage,<br />

terrorism pool across the nations and its members, and premium rate structure.<br />

I. Most of the countries have terrorism insurance program as per their policies and legal<br />

framework which may vary in terms of degree of government support, mandatory or optional<br />

nature of the program, etc. Following table shows the features of terrorism insurance program<br />

world wide:<br />

TABLE -3 FEATURE OF THE TERRORISM INSURANCE PROGRAM<br />

Country Program sponsored<br />

or supported by the<br />

Government<br />

Mandatory/ Optional<br />

Who are authorized to<br />

withdraw from the pool<br />

Australia<br />

The act is federal &<br />

the ARPC is a<br />

government- backed<br />

Mandatory. Coverage is<br />

Automatic & arises from<br />

the statutory act deeming<br />

Terrorism exclusions to be<br />

All insurers of Australian<br />

risks are obligated to<br />

provide cover. They can<br />

access ARPC for


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corporation redundant reinsurance protection.<br />

Austria<br />

No support from the<br />

government<br />

Optional<br />

All the insurers if they are<br />

members of the Austrian<br />

Terrorism Pool<br />

Belgium Government support<br />

but funded by the<br />

state, direct insurers<br />

and reinsurers.<br />

Mandatory for certain<br />

lines and certain risks<br />

(Workers' Compensation,<br />

Auto Liability, Strict<br />

Liability in case of fire &<br />

explosion, Accident &<br />

Illness, Life & Property<br />

insurance for certain risks)<br />

All the insurers<br />

France<br />

Private-public<br />

Partnership with<br />

unlimited state cover<br />

to CCR for GAREAT,<br />

reinsurance is taken<br />

over by CCR on<br />

unlimited basis<br />

Mandatory. 1986 law<br />

made terror coverage<br />

compulsory<br />

All the insurers if<br />

authorized to operate in<br />

France<br />

Germany<br />

Private up to €2B;<br />

government is<br />

Optional - Not mandatory<br />

All the insurers but only by<br />

special request<br />

reinsurer in excess of<br />

€2B annual aggregate<br />

up to €10B<br />

Netherlands Supported by<br />

government<br />

Optional i.e., Not<br />

mandatory but<br />

free of charge<br />

All the insurers as long as<br />

they join<br />

the pool in place<br />

Spain<br />

Government<br />

sponsored<br />

Mandatory All the insurers if<br />

authorized to operate in<br />

Spanish territory<br />

U.K. Government supported Optional All the member insurers of<br />

Pool RE


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USA<br />

Government supported Optional. All qualifying<br />

Insurers must make an<br />

offer of insurance on<br />

eligible lines of business,<br />

though policyholders may<br />

decline cover<br />

All the insurers but they<br />

must be<br />

on-shore captives regulated<br />

by a US state or US<br />

territory<br />

India No Government<br />

support; managed by<br />

GIC (national<br />

reinsurer)<br />

Optional<br />

Only if they are pool<br />

member.<br />

PD/BI – Property Damage/ Business Interruption, CCR –Caisse Centrale de Réassurance,<br />

TRIA – Terrorism Reinsurance Act 2002, ARPC – Australian Reinsurance Pool Corporation<br />

Source: www.willis.com<br />

If we analyze the table, we find that in most of the countries, terrorism insurance program is<br />

either government sponsored or supported, that varies from a certain percentage of compensation<br />

to unlimited guarantee. As far as India is concerned, there is clear lack of direct government<br />

support. It‘s only the public sector insurance companies under the leadership of GIC that have<br />

taken initiative to set up a terrorism pool. Although India is a developing economy with limited<br />

financial resources, one must not forget the sensitivity of this <strong>issue</strong>. The government should<br />

show more active participation and support both in monetary as well as in administrative terms.<br />

In this way, the availability of terrorism insurance would be ensured and also the premium rates<br />

are more realistic.<br />

II. The second criterion under study is the scope and extent of coverage against terrorism losses<br />

in different countries. As far as coverage against NBC losses is concerned, different countries<br />

have different norms as to their treatment. Following table reveals scope and extent of coverage<br />

against terrorism losses world wide:<br />

TABLE -4 SCOPE AND EXTENT OF COVERAGE<br />

Country Scope of Coverage Maximum Limits<br />

Applicable<br />

Coverage for<br />

NBC<br />

(Nuclear,<br />

Biological,<br />

Chemical)?<br />

Australia Covers‖ eligible property‖<br />

under ―eligible insurance<br />

contracts‖ as defined by the<br />

Act. Principally PD/BI and<br />

also Public Liability are<br />

covered, if liability arises out<br />

Individual policy limits to<br />

apply to each policy holder.<br />

Overall supporting program<br />

limit A$10.3B. This fund made<br />

up of hybrid insurance, LOC&<br />

B&C but not N


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of the ownership or<br />

occupation of ―eligible<br />

property‖<br />

government funding<br />

Austria Flexa Perils & BI Up to €5M for PD/BI<br />

combined. Maximum<br />

indemnity per insured &<br />

location. Overall Pool limit is<br />

€200M for a single terror<br />

attack. An additional €20M<br />

available outside the pool at a<br />

high premium<br />

NO<br />

Belgium<br />

Workers' Compensation, Auto<br />

Liability,<br />

Direct insurers, €300M;<br />

reinsurers, €400M;<br />

YES<br />

Strict Liability in case of fire<br />

& explosion, Accident &<br />

Illness coverage, Life<br />

&Property insurance for<br />

certain risks<br />

Belgian government, €300M.<br />

Sublimit per location of €75M<br />

Property Damage<br />

France<br />

Applies to Property<br />

lines including Direct<br />

Damages & BI<br />

Per local policy. CCR covers<br />

all losses in excess of €2.2B.<br />

Below €2.2B is covered by the<br />

Terrorism pool<br />

YES. All acts<br />

of<br />

Terrorism<br />

covered<br />

Germany PD/BI €1.5B per insured.<br />

NO<br />

Netherlands Applies to all lines of<br />

business including all life<br />

insurance<br />

Total €10B on annual<br />

aggregate basis<br />

€1B per year with a sublimit of<br />

€75M per<br />

insured per location for nonlife<br />

claims<br />

YES<br />

Spain Property Damage, BI,<br />

Vehicles & Accident<br />

As per local policy<br />

YES if part of<br />

a<br />

terrorist attack


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U.K. Coverage available for PD/BI As per local policy <strong>issue</strong>d YES as long as<br />

covered in<br />

local policy<br />

USA<br />

Applies to most commercial<br />

P&C lines but excludes Crop,<br />

Livestock, Mortgage, Medical<br />

Malpractice, Health, Flood,<br />

Commercial Auto, Burglary<br />

and Theft, Surety,<br />

Professional Liability, Farm<br />

Owners Multiple Peril or Life<br />

insurance; reinsurance or<br />

retrocessional reinsurance.<br />

Up to $100B per year Same<br />

limits and<br />

sublimit as Property policy<br />

Insurers retain 20% of prior<br />

year earned premium and<br />

coinsure 15% of the loss above<br />

the retention<br />

Insurers are<br />

supported if<br />

they provide<br />

NBC cover,<br />

but there is no<br />

mandate to<br />

provide<br />

coverage<br />

broader than<br />

that which is<br />

allowed for<br />

other perils.<br />

India<br />

Residential, Industrial and<br />

Non-Industrial Risk<br />

Rs 750 cr per risk per location<br />

No<br />

PD/BI – Property Damage/ Business Interruption, N – Nuclear, B – Biological, C – Chemical,<br />

Flexa – Fire, Lightening, Explosion, Aircraft<br />

Source: www.willis.com<br />

Analyzing the table, we find that the scope of terrorism insurance in India is confined only to<br />

residential, non-industrial and industrial properties. In other countries, especially USA, we find a<br />

detailed specification regarding the property insured, what is included, what is excluded etc.<br />

India too may benefit if there is detailed specification of scope in order to minimize the<br />

subjectivity that may arise during claim settlements.<br />

Though the countries are divided in their opinion as to include NBC losses in their terrorism<br />

coverage or not, we can not deny the fact that terrorists today have become more techno savvy<br />

and are increasingly using sophisticated modern weapons of mass destruction. In such a scenario,<br />

the exclusion of NBC does not look justified.<br />

As far as limit of coverage is concerned, India is clearly lagging behind. The present limit of Rs<br />

750 crore is too meager a sum to compensate in case of a major terrorist attack. Add to this, the<br />

coverage is for one location only. This means that a complex with 4-5 major industrial<br />

establishments would be treated as one location. And irrespective of all such establishment<br />

taking terrorism coverage worth 750 crore each, in case of loss due to terrorist strike, the<br />

maximum amount that would be compensated to all of them combined would be Rs 750 crore.<br />

This is grossly inadequate in case of major loss. The increase in the limit of coverage is the need<br />

of the hour and the regulating body should take serious steps in this direction.


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III. The third variable which has been used is the extent of coverage against the terrorism and<br />

share of different stakeholders in the coverage across the countries globally. The following table<br />

displays the comparative size of the terrorism insurance coverage and composition of the pool<br />

world wide:<br />

TABLE -5 COMPOSITION OF TERRORISM POOL AND COVERAGE<br />

Countries<br />

Name of the Pool /Act<br />

Terrorism<br />

Insurance<br />

coverage<br />

Pool<br />

members/stakeholders<br />

USA Terrorism Risk Insurance Act $ 100 billion Treasury, insurance<br />

(TRIA)<br />

companies & reinsurers<br />

Pool Reinsurance Companies Ltd. 100000 Euros + 295 members<br />

UK<br />

(Pool Re)<br />

excess up to the comprising of<br />

limit of primary insurance and<br />

Australian Reinsurance Pool coverage AUD 300<br />

Australia<br />

by million pool reinsurance Out of companies total 99<br />

Corporation (ARPC)<br />

from pool + AUD insurance companies in<br />

1 billion bank Australia, 90% are Pool<br />

France GAREAT credit 2 billion + Euros AUD + 9 members 192 members<br />

billion unlimited govt.<br />

comprising of<br />

guarantee insurance companies<br />

Germany Extremus<br />

2 billion Euros + 8 16 members<br />

and Caisse Centrale<br />

billion Euros comprising of<br />

de Réassurance<br />

guarantee by govt. insurance<br />

&<br />

Belgium Terrorism Reinsurance & 1 billion Euros p.a.<br />

reinsurance<br />

more than 90%<br />

groups<br />

of the<br />

Insurance Pool (TRIP)<br />

insurance<br />

Non-Life Insurance<br />

Taiwan Terrorism insurance pool USD 32 million companies Association- Taiwan, are<br />

members Central of Pool<br />

Finland Terrorism pool 3 million Euros<br />

Reinsurance<br />

All Finnish insurance<br />

Corporation,<br />

companies,<br />

& private<br />

except<br />

Netherlands<br />

Nederlandse<br />

1 billion Euro p.a. insurance<br />

Pohjola Primary &<br />

companies<br />

If insurers,<br />

Herverzekeringsmaatschappijvoor<br />

<strong>international</strong> reinsurers<br />

Terrorismeschaden (NHT)<br />

and the Dutch<br />

India<br />

India Market Terrorism Pool<br />

Rs 750 crore government<br />

19 members, Public<br />

(IMTP)<br />

and private insurance<br />

companies and GIC Re<br />

Source: Consolidated from websites of different countries (reinsurer)<br />

Analyzing the composition of the terrorism insurance pool, one can easily conclude that the<br />

major portion of the pool is created by insurance companies operating in that particular country<br />

with at least one reinsurance company providing support. India is no exception to this rule.<br />

However the difference lies in presence of government representatives in the pool composition<br />

like treasury or specially created terrorism insurance company by the government such as Caisse<br />

Centrale de Réassurance in France.


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As far as provision of terrorism coverage is concerned, the present condition in India cannot be<br />

considered satisfactory. Careful analysis of the table reveals that most of the countries have<br />

better insurance coverage against terrorism risk. No doubt, developed countries like US and UK<br />

are much ahead in this aspect due to their strong economic background. However, India is<br />

lagging behind even the smaller countries like Taiwan, Finland and Belgium. This shows that<br />

there is much more needed to be done in this area. Most surprising fact emerging from the table<br />

is the absence of government participation in the pool. Even the governments of developed<br />

countries are providing support in the compensation which ranges from a certain amount to<br />

unlimited guarantee. At this juncture, we would like to stress on the fact that, in these developed<br />

countries, insurance market is much developed and needs little support from outside. Compared<br />

to that, in India even the overall insurance market is in its infancy, less said about the terrorism<br />

insurance market the better. To top it up, the high risk ratings of neighboring countries as well as<br />

the high and increasing frequency of such attacks in these countries indicate the seriousness of<br />

terrorism problem in India and urgent need of government support.<br />

IV. The fourth criterion to compare is premium rates for terrorism insurance market across the<br />

nations. The premium rates vary according to the sum insured, location factor, risk category,<br />

property value etc. In India, the premium rates vary on the basis of sum insured as well as risk<br />

category of the property insured as shown in the following table:<br />

TABLE -6 TERRORISM INSURANCE PREMIUM RATES IN INDIA<br />

Sum Insured per location<br />

(MD + LOP)<br />

Risk Category<br />

Rate (per Mille) as on<br />

1-4-2009<br />

Up to Rs 750 crore Industrial Risk 0.30<br />

Non-Industrial Risk 0.20<br />

Residential Risk 0.10<br />

Over Rs 750 crore and up<br />

to Rs 2000 crore<br />

First 500 crs. as per (1) above +up to<br />

Rs.2000 crs. balance Sum Insured as<br />

under :<br />

Industrial Risk 0.25<br />

Non-Industrial Risk 0.12<br />

Over Rs 2000 crore<br />

First 2000 crs. as per (2) above PLUS<br />

balance Sum Insured as under :<br />

Industrial Risk 0.20<br />

Non-Industrial Risk 0.12


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*Per-mille (‰): Per-mille or per-mil means parts per thousand. (One per-mille is equal to<br />

1/1000 fraction:1‰ = 1/1000 = 0.0<strong>01</strong>)<br />

MD – Material damage, LOP – Loss of Profit<br />

Source: IRDA Annual Report 2009-10<br />

TERRORISM INSURANCE PREMIUM RATES IN FRANCE: Pricing of terrorist cover by<br />

GAREAT depends on a single factor i.e., sums insured. As the rates for terrorist cover and basic<br />

fire insurance are same in France, the price of terrorist insurance is very easy to calculate. The<br />

system is based on the following rule:<br />

TABLE -7 TERRORISM INSURANCE PREMIUM RATES IN FRANCE<br />

Sum Insured<br />

Between 6 and 20 million Euros<br />

Property and casualty line Basic commercial<br />

Premium rates<br />

6% of the coverage<br />

Between 20 and 50 million Euros 12%<br />

Between 50 and 750 million Euros 18%<br />

More than 750 million Euros<br />

Premium rates on case by case basis<br />

Source: http://www.guycarp.com<br />

TERRORISM INSURANCE PREMIUM RATES IN GERMANY: As is the case in France,<br />

the price of coverage depends on the total value insured by the firm and not on location of the<br />

risk. Furthermore, the price varies with the maximum annual amount of compensation for<br />

terrorist risk chosen by the firm. The following examples of pricing are based on data supplied<br />

by Extremus management:<br />

TABLE-8 TERRORISM INSURANCE PREMIUM RATES IN GERMANY<br />

TIV (Total Insured<br />

Value)<br />

MAC (Maximum annual<br />

compensation)<br />

Premium amount and rates<br />

25 million Euros 25 million Euros 6250 euro, (0,025% of TIV and<br />

0,025% of MAC)<br />

75 million Euros 25 million Euros 10 625 euro; (0,<strong>01</strong>4% of TIV and<br />

0,043% of MAC)<br />

200 million Euros 100 million Euros 84 038 euro; (0,042% of TIV and<br />

0,084% of MAC)


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Source: Data based on Extremus Versicherungs-AG<br />

TERRORISM INSURANCE PREMIUM RATES IN UK: Insurers in the Pool Re scheme are<br />

free to decide the price of the terrorism covers they offer to their customers. As a result, different<br />

insurers may give different quotes. Although it is open to each insurer to determine the price it<br />

charges, the most important factors tend to be the total value of the property, its location and<br />

whether the policy is to cover property damage only, or also business interruption losses.<br />

TERRORISM INSURANCE PREMIUM RATES IN USA: In U.S., TRIA leaves it up to<br />

insurers to set rates under state regulations. Accordingly, there is price differentiation with<br />

respect to risk location in the U.S. Moreover, the U.S. program is the only one that provides<br />

governmental reinsurance free of charge. According to the findings of the study conducted by<br />

Erwann O. Michel-Kerjan with P. Raschky and H. Kunreuther, the average terrorism premium<br />

rates for the years 2003 to 2008 were as below:<br />

Companies with TRIA- type coverage – All regions<br />

Premium per $ 1000 of TRIA Insurance (USA): $0.592<br />

Premium per $ 1000 of property coverage: $ 4.848<br />

Companies with TRIA- type coverage – New York region<br />

Premium per $ 1000 of TRIA Insurance (USA): $1.362<br />

Premium per $ 1000 of property coverage: $ 6.149<br />

Among the countries under analysis, majority have a system of determining the premium rates<br />

on the basis of single criterion i.e., sum assured or location. In UK there is no fixed specific<br />

criterion in this regard. In USA, the rates vary depending upon the location factor and not<br />

specifically on sum assured. Therefore we find that rates there vary significantly for New York<br />

and other regions in US. Compared to these countries India enjoys a better position as the rates<br />

here vary on the basis of both risk in<strong>vol</strong>ved as well as sum insured. However, if the location<br />

factor too is taken into consideration, the premium rates would be more realistic and appropriate.<br />

CHALLAGES AND ISSUES IN INDIAN CONTEXT<br />

After comparing India with world terrorism insurance scenario, we can shortlist certain critical<br />

<strong>issue</strong>s pertaining to Indian terrorism insurance market.<br />

India has terrorism pool by the name of IMTP, presently having the corpus at around<br />

Rs.1500 cr, out of which the ceiling for a single event per location loss is 750 cr. The<br />

coverage which was earlier at just Rs 200 crore per location in 2002-03, has gradually<br />

increased to Rs 750 crore. Despite this impressive growth in coverage amount, it can not be<br />

considered sufficient enough in present conditions. Insurance coverage, only up to this<br />

amount, can be allowed by the writing companies. Beyond this limit, coverage can be


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obtained only from the <strong>international</strong> market. Presently, with so many events happening with<br />

terrorist threats looming large on them, the pool looks hugely inadequate.<br />

No government support is also very concerning <strong>issue</strong>. Whereas in almost all other countries<br />

under study, it has been found that, there is presence of government support either directly or<br />

indirectly, irrespective of the fact that terrorism insurance market there is far more developed<br />

than Indian insurance market. Indian terrorism insurance market at present is in its nascent<br />

stage and requires government support.<br />

Even though the insurance business shows an upward trend, the growth is in terms of amount<br />

of coverage and premiums collected. According to IRDA data, total premium collected for<br />

terrorism insurance accounted for Rs 155.97 crore in 2004 which rose to Rs 306 crore in<br />

2009-10 showing almost 100% increase in the amount. However, when it comes to reaching<br />

the masses, the number of clientele are still less and limited to rich corporate class. Mass<br />

penetration is still an <strong>issue</strong> especially with less participation from insurance player, fewer<br />

products and higher premiums.<br />

For terrorism insurance business globally, the difficulty lies in determination of the premium<br />

charges. With years of research and data collection, the insurance companies have been able<br />

to estimate the potential losses as well as the probability of occurrence of natural calamities<br />

with reasonable accuracy. However the same is not true in case of terrorism insurance. Here<br />

the risk cannot be modeled because of lack of data as well as difficulties in calculating the<br />

probability of occurrence of terrorist strikes. As far as data regarding losses or damage due to<br />

terrorist attack is concerned, security agencies hesitate to make such information public for<br />

obvious security reasons. Secondly our understanding about the motivation and psychology<br />

that works behind the organized terrorist attack is very poor. These factors together make it<br />

very difficult to reach at an optimum premium charges. This results in companies passing the<br />

risk and uncertainty to the insured in the form of unreasonably higher premium and therefore<br />

less business.<br />

Secondly, while determining premium rates, location factor is not taken into account in India.<br />

Some places are industrially advanced and hence economically more developed compared to<br />

others and therefore more prone to risk of terrorist attacks. However the rate of premium is<br />

same for all these places. This poses a great challenge for the insurers to develop their<br />

business in economically less developed areas.<br />

SUGGESTIONS AND RECOMMENDATIONS:<br />

Creating awareness among public a requirement common to entire insurance industry. In<br />

this case too, the present level of awareness regarding any product related to terrorist<br />

insurance is very low. Awareness can be created through media, NGOs, or most<br />

importantly, by the insurance companies and government. Here the innovative step taken<br />

by an insurance firm is noteworthy and can set an example for the others. The<br />

click2insure.in is a Delhi based insurance broking firm which has tied up with state run<br />

non life insurance company New India Assurance Company for offering free terrorism<br />

cover for all Indian citizens above age of 25 years. Under this scheme Rs 1 lakh would be


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given to next kin of any person who is covered under the policy if he dies due to a terror<br />

attack. Other company too can follow suit and adopt such innovative methods to create<br />

awareness.<br />

Public private partnership is the key to success of the terrorism insurance sector. It can be<br />

safely said that behind every successful terrorist strike, there is an unsuccessful security<br />

system of the government. In this way it also becomes the moral responsibility of the<br />

government to share some financial burden due to the loss of the terrorist attacks. For this<br />

the government can contribute in the fund meant for the payments for the claims to the<br />

insured. Or the government can guarantee the payment of compensation by the insurance<br />

companies in cases the losses are enormous and beyond the capacity of these companies.<br />

This fund, although, must be repaid from future premiums. For this, the government can<br />

follow the model prevalent in France. In France, the premiums collected by insurers are<br />

shared among the pool (30%), insurers (50%), reinsurers (10%) and the government<br />

(10%). The government receives the share of premiums in exchange for unlimited<br />

guarantee.<br />

Quick and hassle free settlement of the claims of the insured is the key factor responsible<br />

for the success of these insurance companies. On the one hand it will help build the trust<br />

of the people on the other it will also encourage more and more people to buy terrorism<br />

insurance. This will require certain modification in the policy norms. At present, the onus<br />

of proving that losses are caused due to act of terrorism is on the claimer which brings lot<br />

of subjectivity in the claim process. As a result, the procedure becomes cumbersome and<br />

time consuming. The example can be given of 26/11 attack. The process of paying<br />

compensation to the victims of Mumbai carnage is still not over. These situations<br />

discourage buyers from taking insurance policy. Hassle free and quick settlement is thus,<br />

need of the hour.<br />

Innovation is considered a key factor in success of any industry and same is true for<br />

insurance sector as well. This will help in providing better services and differentiating the<br />

products from that of competitor‘s. Newer and advance technology will lead to efficiency<br />

in operation and reduction in cost thus improving profitability. Customization of the<br />

insurance products to cater to the needs of all segments of prospective buyers ranging<br />

from small shopkeeper to a giant business conglomerate is the success mantra. It would<br />

also be helpful in strengthening relationship with the customers thereby building their<br />

loyalty.<br />

India has become a hub for foreign investment across the continents. However, some of<br />

the areas, which are able to attract more investments, are industrially more developed<br />

than others. For example our national capital Delhi, our commercial capital Mumbai, IT<br />

capital Bangalore, etc. are much ahead in terms of economic development and therefore<br />

have higher risk probability compared to others. In such case, rates can be decided<br />

depending upon the locational factor. Simply put, premium rates for developing regions<br />

should be lower than that of economically advanced regions. Lower premium rate would<br />

reduce the financial burden of businesses and encourage them to take the terrorism


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insurance policy less hesitatingly. This, in turn, would increase the coverage for<br />

insurance sector resulting in better profitability.<br />

To encourage the safety practices among insured as well as to lower the probability of an<br />

attack, the insurance companies can offer discounts in premium rates on the basis of<br />

additional security measures adopted by the insured companies. The investment in such<br />

risk mitigation measures by the insured will have two fold advantages. On one hand it<br />

will reduce the financial burden on the insured in terms of lower premium rates; on the<br />

other hand it will help to reduce the risk up to some extent.<br />

Importance should be given to arrive at a reasonable premium charged by from the<br />

customers by the insurance companies which, at present is very high. The insurance<br />

companies should give maximum attention and importance to determination of optimum<br />

premium amount. No matter how much security a terrorism insurance cover provides, it<br />

still poses a financial burden to the insured. In such a scenario, the insurers can offer<br />

some benefits in the form of discounts or lower premium rates. For example, if a client<br />

has been purchasing terrorism insurance policy for last 5 years continuously without<br />

claim, insurance company may offer a discount in the premium or charge a lower<br />

premium rate for the same coverage from 6 th year onwards. It will serve twin purposes.<br />

Firstly, it would increase the insurer‘s business through such incentive and secondly, it<br />

would encourage the loyalty from the clients thereby ensuring a steady flow of revenue.<br />

Another way of reaching at a reasonable premium is that the government may subsidize<br />

the premium till the market grows from its nascent stage to maturity.<br />

Most of the times, the insurance companies do not have major claims against any of their<br />

policies and therefore have huge inflow of funds. Most of it is invested in the market and<br />

a huge return is also generated. In such a situation, these companies may play important<br />

role towards the corporate social responsibility by contributing a part of the premiums. In<br />

the other words, it can set the premium without expecting much profit from such policies.<br />

The general perception of the public about the insurance companies is not very positive.<br />

Despite a very high premium, customer finds it very difficult to get the claims in time and<br />

sometimes does not get anything due to many flaws in the policies. A special mention<br />

should be given to a GIC circular dated 11-13 March 2002. The circular says that any<br />

damage or loss incurred because of controlling, preventing or suppressing any act of<br />

terrorism would not be covered under terrorism insurance. Even though, some companies<br />

do give benefit of doubt to the insured, the burden of proving, that the loss was actually<br />

caused due to terrorist attack and not due to control and prevention measures, lies on the<br />

shoulders of the insured. This process may be very cumbersome and costly affair and<br />

may affect the policyholder adversely. This policy should be relooked and modified, if<br />

necessary, to build the trust of the customers to bring more business. This calls for some<br />

serious steps to be taken by authorities to ensure more transparency and fairness in the<br />

system.<br />

CONCLUSION: Terrorist attacks today, are not limited to any specific part of the world but<br />

have acquired an all pervasive and global nature. Occurrence of such events almost everyday has


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reinforced the belief that terrorism continues to be the biggest threat to the world at present. The<br />

risk of terrorism is proving to be a complicated and most important challenge for the insurance<br />

industry, governments as well as society as a whole. In this regard, the governments of various<br />

countries have taken strategic steps for creating laws and policies related to terrorism insurance.<br />

Insurance industry, on its part, has put in enormous effort to combat, manage and alleviate the<br />

risk posed by terrorism. They have tried to devise innovative risk management tools on the basis<br />

of the relevant data collected and organized on a global scale. As far as India is concerned,<br />

terrorism insurance scenario is at a crossroad, especially in the absence of government support.<br />

The insurance companies in India under the leadership of national reinsurer GIC have begun well<br />

by creating IMTP (India Market Terrorism Pool) in 2002 realizing the need and importance of<br />

terrorism insurance after 9/11/20<strong>01</strong> World Trade Center attack in US. However, 10 years have<br />

passed and there has been lot of changes in the global scenario. Looking at the magnitude of<br />

losses and inadequacy of our pool, lot more is to be done. To find an optimum solution of the<br />

entire problem related to terrorism insurance, an integrated approach by all concerned parties is a<br />

must. Consolidated efforts by all the stakeholders (government, regulator, insurance companies<br />

and policyholders) can help to develop this sector, provided they play their roles in a very<br />

positive and innovative manner.<br />

REFERENCES<br />

1. Dwight M. Jaffee and Prof. Thomas Russell (20<strong>05</strong>), ‖Should governments Support the<br />

Private Terrorism Insurance Market?‖, WRIEC conference, Salt Lake City, August 20<strong>05</strong>.<br />

2. Erwann Michel-Kerjan and Paul Raschky, ― The Effects of Government Intervention on The<br />

Market for Corporate Terrorism Insurance‖ Working Paper, Risk Management and Decision<br />

Processes Center, The Wharton School, University of Pennsylvania, 2<strong>01</strong>1<br />

3. Erwann O. Michel-Kerjan, P. Raschky And H. Kunreuther (2<strong>01</strong>0) Corporate Demand for<br />

Terrorism Insurance: An Empirical Analysis; OECD International Conference Paris, France<br />

– June 1-2, 2<strong>01</strong>0<br />

4. Kumar Jagendra, ―Insurance and Reinsurance of Terrorism Risk‖, The Insurance Times,<br />

August 2<strong>01</strong>0<br />

5. Kumar Manoj (2003), ―Terrorism Insurance: Coming out of Shadows‖, "Asia Insurance<br />

Review", Singapore, March 2003.<br />

6. Maplecroft, ‗Political Risk Atlas 2<strong>01</strong>0‘, ―Identification of growing investment risk in<br />

India and regional economies‖, 2<strong>01</strong>0<br />

7. Rao G V, ―Terrorism Insurance—A Global Perspective‖, Insurance Chronicle, ICFAI<br />

University Press Hyderabad, February, 2<strong>01</strong>0<br />

8. The Marsh Report, Terrorism Risk Insurance 2<strong>01</strong>0, ―Major <strong>issue</strong>s and trends in terrorism<br />

insurance‖, 2<strong>01</strong>0


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9. Verma Renu and Dr. Manisha Singh, ―Terrorism Insurance: Responding to Emergent<br />

Requirement‖, Marketing Mastermind, ICFAI University Press Hyderabad, March, 2<strong>01</strong>1<br />

WEBSITES<br />

1. articles.economictimes.indiatimes.com/2008-12-23/news/2771<strong>05</strong>97_1_terror-insurance-pool<br />

2. http://books.google.co.in/books?id=2tQVOtGQxNwC&pg=PA247&lpg=PA247&dq=insura<br />

nce+company+members+in+extremus+germany&source=bl&ots=M_6euQhc1m&sig<br />

3. http://www.bimabazaar.com/index.php?option=com_content&view=article&id=185:insuranc<br />

e-and-reinsurance-of-terrorism-risk&catid=95:reinsurance&Itemid=70<br />

4. http://www.guycarp.com/portal/extranet/insights/reportsPDF/2009/Global_terror_2009<br />

5. http://www.guycarp.com/portal/extranet/pdf_2007/GCPub/Terror%20Report%202007.pdf<br />

6. http://www.insurancehq.com.au/general/insurancecompanies.html<br />

7. http://www.tripvzw.be/documents/OECD_Conference_Terrorism_Risk%20Insurance_Belgiu<br />

m.pdf<br />

8. Wikipediawww.fas.org/sgp/crs/terror<br />

9. www.arpc.treasury.gov.au/content/default.asp<br />

10. www.institut.veolia.org<br />

11. www.institut.veolia.org/en/cahiers/protection-insurability-terrorism<br />

12. www.irda.com


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ABSTRACT<br />

INVESTMENT IN EQUITY CAN BE STRESSFUL<br />

- CAUSES AND PRECAUTIONS<br />

DR. (MS.) JAYASHREE AVINASH BHAKAY*<br />

*Professor, Chetana’s R.K. Institute of Management & Research,<br />

Survey No. 341, Government Colony,<br />

Bandra (East), Mumbai – 400<strong>05</strong>1, India.<br />

The role of corporate securities in household savings is quite important. Corporate securities<br />

function as an important medium for household savings. Stocks are becoming an essential tool in<br />

the wealth creation process even in India. Stock ownership is unique due to market trading<br />

facility. The ease of buying and selling of shares provides liquidity to investment and helps<br />

creating short term profits and long term wealth.<br />

India is a growing economy with a demographic advantage of a large population of young<br />

savers. The economy has modified rules regarding new <strong>issue</strong>s or IPOs in the capital market<br />

followed by electronic trading facilities in the stock market. The market is further made<br />

attractive by the tax planners of our country. Since 2004, short-term capital a gain in stocks is<br />

taxed at 10% and long-term gains has zero tax liability. However, we observe that responses to<br />

this investment option are on a lower side. Majority of investors do not consider equity as an<br />

investment option.<br />

In this paper an attempt is made to reason out the poor response to equities as an investment<br />

option from behavioral and psychological perspective and chalk-out an investment strategy.<br />

KEYWORDS: Behavioral finance, investment psychology, investor personality, rationality,<br />

self-servicing bias.<br />

INTRODUCTION<br />

Generally, investment is the application of money for earning more money. Investment also<br />

means savings or savings made through delayed consumption.<br />

Finance professionals define it as money utilized for buying financial assets like stock, bonds,<br />

real assets and gold etc. According to them the practice of buying a financial product or any<br />

valued item with anticipation that positive returns will be received in future is to be called as<br />

investment.<br />

With reference to this approach, investors’ choices and preferences are a product of many<br />

complex and interactive factors. They can be pointed out as:


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Savings capacity and income levels<br />

Relative rates of return<br />

Ability to evaluate product choices and performances.<br />

Tax incentives<br />

Market access.<br />

Confidence in products, service providers and regulators.<br />

Risk appetites and tolerance levels.<br />

The role of corporate securities in household savings is quite important. Stocks are becoming an<br />

essential tool in the wealth creation process even in India. The reasons for investments in equities<br />

are:<br />

Market trading facilities<br />

The liquidity to investment<br />

Creation of short term profits and long term wealth<br />

Modifications regarding new <strong>issue</strong>s or IPOs<br />

Attractive capital gains taxation policy.<br />

However, a large portion of Indian households are not using these facilities and those who are<br />

already there, they are not doing well. The movement of stock exchange index causes some<br />

reactions from the investors’ side, which shows the existence of stress in investments too.<br />

It is therefore necessary to understand the reason behind this poor response to investment in<br />

equities the country. Is it because of economic factors or behavioral forces?<br />

An attempt is been made through this research study based on only published sources of<br />

information and secondary data to reason out the real factors responsible for the lower<br />

performance of financial products in the country.<br />

This paper, therefore, is divided into three parts. Part one provides a general overview of stress in<br />

investment by reviewing literature in the area of behavioral finance and neurofinance along with<br />

some major theories and concepts. The second part discusses the recent trends in household<br />

savings and stock market in India. The paper concludes with some guidelines to assist investors<br />

to develop their own model of investment by using the concepts of behavioral finance and<br />

neurofinance.


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PART-I<br />

STRESS IN INVESTMENT<br />

The word ―stress‖ is one of the most frequently used words today. We live in a world developing<br />

fast, requiring constant adaptation. Stress occurs as an inevitable consequence of our relations<br />

with our constantly changing environment we have to adapt to.<br />

In medical sciences stress is defined as ―a way of physical adaptation to new circumstances, a<br />

reply to irritations that disturb the individual balance.‖<br />

Stress is also defined as ―a complex pattern of emotional states, physiological reactions and<br />

related thoughts in response to external demands.‖ The ―demands‖ emanating from the<br />

environment are stressors. A few stressors in the current world are workplace stress, relationship<br />

stress, social stress and economic stress. There are a number of causes of stress. The major<br />

causes are pointed out as work, family, personal concerns, personal health and safety, personal<br />

relationships, death and above all finance. Most studies agree that ―finances‖ are a leading cause<br />

of stress.<br />

According to one study, stress is most damaging when one feels a loss of control. Unfortunately<br />

for investors, control is exactly the thing they lack over the markets.<br />

If a stressful event is predictable, then it evokes a decreased stress response. The financial/ stock<br />

markets are anything but predictable leading to greater stress among investors, who are trying to<br />

forecast future price movements.<br />

Investors spend a substantial part of their leisure time discussing investment, reading about<br />

investments or gossiping about others’ success or failures in investing.<br />

Traders who watch price quotes, tick by tick, are particularly susceptible to chronic stress and<br />

burnout. The more one checks stock quotes, the more likely they are to see <strong>vol</strong>atility. Stress is<br />

increased by a lack of control and a perception of conditions worsening.<br />

Many investors operate in isolation from others, acquiring information via impersonal computer<br />

monitors or telephone calls with strangers. Many investors have little intimate contact with their<br />

families, friends and even colleagues. This also results in stress in investment.<br />

Many investors are not prepared for any contingencies. As positions deteriorate, stress levels rise<br />

and the brain becomes cognitively inflexible.<br />

Some people seem addicted to accumulating money. As we come to understand more about<br />

money’s effect on us, it is emerging that some people’s brains can react to it as they would to a<br />

drug, while to others it is like a friend.<br />

Some studies even suggest that the desire for money gets cross-wired with our appetite for food.<br />

And, of course, because having a pile of money means that you can buy more things, it is


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virtually synonymous with status – so much so that losing it can lead to depression and even<br />

suicide.<br />

Considering the importance of finance, scholars and practitioners from a variety of fields like<br />

psychology, sociology, neurology, economics and business management conducted several<br />

empirical studies on financial markets and investors’ behavior. This resulted in a new approach<br />

to financial markets, which is widely recognized as ―behavioral finance‖, ―behavioral<br />

economics‖, ―investor psychology‖ and ―neurofinance and neuroeconomics‖.<br />

THE RATIONAL MAN AND EFFICIENT MARKET HYPOTHESIS<br />

The model of rational man was largely solidified by the rational expectation theorists of 1970s.<br />

The underlying premise behind rational expectations is that human beings are able to properly<br />

weight the probabilities of future outcomes and form a logical conclusion as to the appropriate<br />

decisions to undertake. Rational expectations theory assumes that economic actors posses the<br />

requisite cognitive capacity to make such calculations. Human beings act like rationalist with<br />

total disregards to emotions, display time consistency and constant level of risk aversion.<br />

Based on these rational expectations, there emerged Efficient Market Hypothesis. The hypothesis<br />

is: When all people are rational, markets are efficient by definition.<br />

When some people are irrational, their behavior is usually uncorrelated and the impact of their<br />

trades is too weak to influence prices.<br />

Finally, when sometimes irrational investors behave in a correlated manner and they sometimes<br />

have enough of a market force to drive the prices away from fundamentals, then active and<br />

unlimited traders of rational arbitrageurs will countervail and bring the prices back to right<br />

levels.<br />

EMH states the premise that all information has already been reflected in a securities market<br />

value, and that the current price the stock is trading today is its fair value. Since stocks are<br />

considered to be at their fair value, proponents argue that active traders or portfolio managers<br />

cannot produce superior returns over time that beat the market. Therefore, they believe investors<br />

should just own the ―entire market‖ rather attempting to outperform the market.<br />

However, these features are not always confirmed true in life. If humans are rational in the<br />

traditional sense, then markets naturally will reflect such rationality through purely efficient<br />

pricing. Humans are rarely fully rational. We, human beings, are characterized by numerous<br />

biases and internal conflicts, resulting in decision making often contradicting that of rational<br />

man. So long as prices are determined by the aggregate decisions of human beings, they will<br />

convey not only fundamental valuation, but fear and paranoia, exhilaration and euphoria as well.<br />

Markets do indeed reflect the human psyche, but the human psyche is imperfect.<br />

BEHAVIORAL FINANCE AND INVESTOR PSYCHOLOGY<br />

Behavior finance is an area within the finance discipline that focuses on investors’ behavior and<br />

the decision making process in order to understand the happenings in financial markets. It


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combines psychology and economics to explain the what, why and how investors act and to<br />

analyse how their behavior affects the market.<br />

One of its primary observations holds that investors and people in general make decisions on<br />

imprecise impressions and beliefs rather than rational analysis.<br />

The second observation states that the way a question or problem is framed to an investor will<br />

influence the decision he/she ultimately makes.<br />

These two observations explain market inefficiencies. It further states that markets are<br />

sometimes inefficient because people are not mathematical equations. Empirical studies on<br />

investor’ psychology pointed out certain causes for irrationality of investor behavior. These are:<br />

Investor’s overconfidence and optimism<br />

Financial cognitive dissonance<br />

Loss aversion and reference dependence<br />

Human emotions and moods<br />

Social influence and interaction with other people<br />

Herd behavior<br />

Sunk cost effect<br />

―Self Deception Theory‖<br />

―Prospect Theory‖<br />

The behavior and emotions of investors during a price bubble. Detailed fundamental<br />

analysis goes out the window; many investors begin to purchase assets without even<br />

understanding what they are buying. As depicted by the cycle of investor emotions,<br />

psychological influences can cause investors to "buy high" during the thrilling and<br />

euphoric stages of a bubble, and "sell low" at the panic and capitulation stages. Buying<br />

high and selling low is not a winning strategy. This is why Warren Buffet recommends<br />

that you be "fearful when others are greedy and greedy when others are fearful."


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In short, behavioral finance changes the way we should look at capital markets. According to this<br />

approach market is not always efficient and investors who make a better than average use of<br />

available information are able to make abnormal returns. Behavioral market models concentrate<br />

on predicting deviations from traditional models. They focus on investors’ irrationality and<br />

attempt to identify factors responsible for its direction and strength.<br />

When mispricing is noticed investors should ask themselves about the reasons for the situation<br />

and should try to predict its future development.<br />

Psychological aspects are important when communicating with the market. People usually<br />

overreact to good information and under react to bad news. They pay attention to a descriptive<br />

report than to statistical or numeric data. They are sensitive to the context in which the<br />

information is given. It is crucial for investors to cultivate opinions without value judgment, to<br />

detach ego and to maintain flexible expectations. Investors who pressure themselves to achieve<br />

specific outcomes are at risk of choking if pressure is too high. Rumination or deliberation about<br />

past events is self-defeating. It is crucial to remain present with what is happening in the markets.<br />

For most people, the possibility of being wrong is threatening. It gives rise to anxiety, especially<br />

if one has internal or external performance pressures or benchmarks that will not be met.<br />

NEUROFINANCE<br />

Neurofinance is a new science that analyses financial markets by applying neurotechnology to<br />

trading behavior. The goals of neurofinance are:


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To improve trading results and our understanding of financial markets by identifying<br />

which physiological traits affect trading behavior.<br />

To correlate these traits with trading success or failure<br />

To develop tools, technology and training methods to improve trading performance.<br />

Neurofinancial theory holds that our inability to behave rationally is rooted in our<br />

psychophysiology. Because neurofinance is based on the assumption that individuals have<br />

varying psycho physiological make-ups, which in turn play a strong role in both their ability to<br />

make rational decisions and in their success as financial market operators, it represents a contrary<br />

approach to that of the efficient market hypothesis.<br />

Recently behavioral economists have leveraged the findings from psychology and neurology,<br />

developing the field of neureconomics. Neuroeconomics research has made observations that<br />

human beings are neurologically wired in a fashion which is inconsistent with the assumptions of<br />

hyper-rationality.<br />

It has also attempted to show that overconfidence, herd mentality, time preference, risk aversion,<br />

and tastes have a neural basis and humans differ starkly with respect to such psychological<br />

concepts. This is also expected to challenge the market efficiency theory as accepted in standard<br />

finance.<br />

Psychological surveys often gather information on the cues (triggers) and cognitions (thoughts)<br />

that accompany or activate gambling behavior. Neuroscience studies attempt to understand how<br />

the brains of pathological gamblers operate differently than normal brains.<br />

Pathological gambling is psychiatrically classified as an impulse control disorder and it is<br />

characterized by a psychological insensitivity to risk, increased impulsivity, a lack of selfcontrol,<br />

a loss of appropriate social value priorities and the pursuit of pleasure through risk<br />

taking. Pathological gamblers have higher rates of emotional afflictions such as depression,<br />

anxiety and substance abuse than others.<br />

PERSONALITY FACTORS<br />

One of the keys to investing success is to heavily exploit one’s strengths while strictly avoiding<br />

areas of weakness. Personality is a collective pattern of character, behavior, temperament,<br />

emotional and mental traits. Therefore, personality strengths can be listed as<br />

Personality style,<br />

Cognitive faculties- mental activity, critical thinking, speed and intelligence,<br />

Emotional intelligence- motivation and passion, courage, self-awareness, emotional<br />

coping skills,<br />

Conditioning- training that improves personal weaknesses and enhances strengths.


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Accordingly investors can be broadly classified as ―Recreational Investor‖ and a ―Gambler‖.<br />

A recreational investor trades with money that he can afford to lose. He does not lie about or<br />

misrepresent his wins or losses when describing to others. His statistical ―risk of ruin‖ is very<br />

low.<br />

Investors can be easily classified as ―conservative‖, ―moderate‖ and ―aggressive‖ investors on<br />

the basis of their risk tolerance levels.<br />

Some investors turn into gamblers during bull markets. They start making money easily. They<br />

increase their position sizes. They do well and feel invincible. Money comes to them effortlessly.<br />

They do not realize how much risk exposure they have taken on. Then one day they find<br />

themselves rapidly losing and they do not understand what is happening. Because their illusion<br />

of control has been reinforced by early gains, they continue with the same old strategy and they<br />

lose more and more until they have lost not only their paper profits, but also their principal.<br />

Many attempts have been made to categorize the characteristics of individual investors; the<br />

Bailard, Biehl and Kaiser (BB&K) model provides some help. They have defined individual<br />

investor types as follows:<br />

Individualist : careful, confident and often takes a do-it yourself approach<br />

Adventurer : <strong>vol</strong>atile, entrepreneurial and strong willed<br />

Celebrity : follower of the latest investment fad<br />

Guardian : highly risk averse; wealth preserver<br />

Straight Arrow: shares the characteristics of all the above equally.<br />

In order to understand what type of investor one is, it is necessary for the individual to know<br />

about personal risk tolerance level and then decide what kind of investment plans is ideal. These<br />

tests also try to point out the weaknesses in ones personality which also gives guidelines about<br />

the investment path to be followed by the investors.<br />

PART-II<br />

SAVINGS AND INVESTMENTS SURVEY OF INDIA<br />

It is really interesting to go through the findings of two relevant reports about the savings and<br />

investment patterns followed by Indians. First is the countrywide survey conducted by Invest<br />

India Economic Foundation and published by IIMS Dataworks in July 2007 whose major<br />

findings were published by Economic Times on 16 th ,17 th and 18 th July,2007. Simultaneously the<br />

Mint (Wall Street Journal) also provided an analysis of the same report during that period. The<br />

findings are presented as it is for proper understanding about the behavioral approach of Indian<br />

investors.


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The relevant findings are listed for reference:<br />

That the bulk of the financial savings of households are parked in bank deposits and post<br />

office schemes and state run banks were preferred over private banks due to government<br />

guarantees.<br />

Every earner needs to save for contingencies including health, retirement and means of<br />

livelihood for the family in the event of something unfortunate happening to him.<br />

The first preference, therefore, would be to invest in assets that guarantee security while<br />

earning a reasonable return, hence the bank deposits and the post office schemes. Only<br />

when these concerns are taken care of does the investor usually think of return<br />

maximisation, that is invest in equities or mutual funds.<br />

Majority of urban Indians don’t invest.<br />

Over 50 percent of respondents felt investing in equities was risky and only 5.6 million<br />

had an electronic share holding account.<br />

The lure of the high yielding equities is low even among the high income categories.<br />

The underlying reason is the inadequacy of surplus for most investors.<br />

For most of the respondents, stock market is a jungle of Bulls and Bears.<br />

Across education levels, only a handful believe that over a long period, returns from scrip<br />

and mutual funds score over bank deposits.<br />

This is so despite the fact that a majority of individuals understand that investments that<br />

garner higher returns also imply higher risk. Risk perception on equities, for instance,<br />

varies from 56% — for high-income earners, above Rs 5 lakh — to over 65% — for<br />

those earning Rs 90,000-2,00,000 per year.<br />

The major reason for 67.2% of the 321 million paid workers — not investing in a life<br />

insurance cover is, yes, affordability — for 60% uncovered individuals -- no one, least<br />

the agent, has cared to explain the need for insurance or the product benefits per se.<br />

Even for a hybrid investment product like Unit-linked insurance plan, even among<br />

individuals who are aware of the product, a majority blame the agent’s failure to offer the<br />

product for not buying.<br />

The survey also mentions that there are certain market entry barriers for the bank customers who<br />

are aware of equity investments. Major entry barriers listed by the survey are:<br />

The risk perceptions


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Market <strong>vol</strong>atility<br />

Inability to understand the stock market.<br />

Preference to life insurance rather than equity<br />

Bank deposits are more preferable to a class of investors.<br />

Complicated procedures.<br />

Have been advised against equity investment<br />

Do not know where to purchase from.<br />

Few prefer mutual funds<br />

Do not have sufficient funds to invest into equity.<br />

In spite of this a good percentage of the respondents think that equities will give higher returns<br />

than the bank savings in a long run.<br />

RESERVE BANK OF INDIA SURVEY ON HOUSEHOLD SECTOR SAVINGS<br />

India's gross domestic savings rate was 32 percent in 20<strong>05</strong>/06 -- its highest since 1950-51 and<br />

one of the highest in the Asia-Pacific region, according to the Reserve Bank data. But the data<br />

presented for the year 2008-09 reveals a different picture of the economy (which was presented<br />

very well in one of the articles and which is reproduced as it is for unbiased understanding).<br />

―Financial savings of Indian households took a hard knock in 2008-09, as a result of the financial<br />

crisis.<br />

According to Reserve Bank of India data presented in its annual report, gross financial savings of<br />

households increased by a low 4.3% in 2008-09, compared with a growth of 10.1% in the<br />

previous year. As a percentage of the gross domestic product (GDP) at current market prices,<br />

gross financial savings of households have fallen from 15.8% in 2006-07 to 15.2% in 2007-08<br />

and now to 14% in 2008-09.<br />

What contributed to this decline? Not bank deposits, which continued to grow handsomely in<br />

2008-09, accounting for 54.9% of total household financial saving, compared with 50.4% in<br />

2007-08. Not life insurance funds, which rose to 19.5% of financial savings in 2008-09<br />

compared with 17.4% in the previous year. The real decline occurred in household investments<br />

in shares and debentures. Shares and debentures accounted for a mere 2.6% of gross household<br />

financial saving in 2008-09, compared with 12.4% in 2007-08. It’s very clear the meltdown in<br />

the market has made investors risk-averse.<br />

However they continued to invest in shares and debentures of private firms, most probably in<br />

debentures rather than shares. Incidentally, deposits with non-banking companies also rose<br />

substantially, probably because of their higher interest rates.


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But even though the percentage of shares and debentures in gross financial savings of the<br />

household sector fell in 2008-09, the fall has not been as steep as during the last downturn in the<br />

markets, when it fell to 0.1% in 2003-04. Also, financial savings of households reached a low of<br />

11.9% of GDP at market prices in 2000-<strong>01</strong>. For Indian households, the current downturn hasn’t<br />

been as bad as the previous one.‖<br />

HOW DO INVESTORS CHOOSE THEIR STOCKBROKER?<br />

The top five qualities investors look for when choosing a stockbroker (as reported by the survey<br />

and published by Mint) are:<br />

Good advice-<br />

33% of respondents


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Reliability and Trust-30% of the respondents<br />

Good behavior-<br />

27% of respondents<br />

Response Servicing- 22% of respondents<br />

Proven track record -21% of respondents.<br />

OBSERVATIONS<br />

All these reports and news analysis raise a few questions about the investment environment in<br />

India and also the investor behavior and psychology of Indian investors. It is a time to think<br />

about these findings and look into the matter from different perspective.<br />

The main observations are:<br />

PART-III<br />

There is availability of investable surplus with Indian investors( household saving data)<br />

People are aware about the risk and return relationship.<br />

They want to have information about different products.<br />

They experience difficulty in getting the information, i.e. who, where, from whom? And<br />

hence, confused investor.<br />

It may be due to communication barrier between the investor and the intermediary.<br />

Financial literacy is the need of the hour.<br />

There are certain personality traits which need to be handled through training or<br />

counseling.<br />

Need to make investing a financially and emotionally rewarding activity.<br />

CONCLUSIONS<br />

Investing is an art of putting your money to work for you. It is the source of wealth creation.<br />

True investment does not happen without some action on the investor’s part. Even if there is a<br />

risk, there are no guarantees, it has become a necessity. The responsibility of planning for<br />

retirement is shifting from the government towards the individual. Hence it is advisable to know<br />

about equity market, understand the risk-return trade-off and know the risk tolerance level by our<br />

self.<br />

Looking at the research work done in several fields on financial markets, one can certainly get a<br />

feel that stress in investment is a universal concept. But one can handle this stress with


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confidence and positive attitude in order to attain the objectives of investment. Therefore, it is<br />

necessary for investors to accept certain realities of financial markets. They are:<br />

Accept that investing is an inexact science.<br />

Understand that trading is not for everyone.<br />

Short-term strategies usually don’t work, with certain exceptions.<br />

Successful investing is not a one-decision process.<br />

Change is constant- both opportunities and risks present themselves at increasing speed<br />

and investment strategies have to adapt to change.<br />

Know yourself very well.<br />

Listen to your own voice rather than following the herd.<br />

Be faithful to the investing style you choose.<br />

Trust what you already know about certain businesses.<br />

Treat investing as a normal part of life, neither complicated nor scary.<br />

Accept uncertainty.<br />

Listen to others, but rely on your own judgment.<br />

Compete only with yourself and not others.<br />

Avoid being too troubled by mistakes.<br />

Welcome the gratification of growing rich.<br />

Decide your investment objectives.<br />

Be clear about the time horizon to keep your money invested.<br />

Changing the perceptions of risk and facing it with ease is the need of the time.<br />

REFERENCES<br />

BOOKS<br />

‣ Bodie Zvi, Kane Alex (2009), Investments, Tata McGraw Hill,<br />

‣ Peterson Richards L. (2007), Inside the Investor’s Brain, John Wiley & Sons,


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‣ Norman Doidge, M.D. (2007) The Brain That Changes Itself, Penguin Publications<br />

‣ Mark Hirschey, John Nofsinger,(2008), Investments –Analysis and Behavior Tata<br />

McGraw Hill<br />

REPORTS<br />

‣ Invest India Income and Savings Survey, 2007 by IIMS Datawork<br />

‣ Annual Reports of Reserve Bank of India, 2006-07, 2007-08, and 2008-09.<br />

JOURNALS AND ARTICLES<br />

‣ Victor Ricciardi and Helen K. Simon,(2000), What is Behavior Finance?, Business,<br />

Education and Technology Journal<br />

‣ Daniel Kahneman , Mark W. Riepe,(1998), Aspects of Investor Psychology Journal of<br />

Portfolio Management Vol.24<br />

‣ Steven G. Sapra and Paul J. Zak, Neurofinance: Bridging Psychology, Neurology and<br />

Investor Behavior, SSRN research Journals,<br />

‣ Tversky, A and D. Kahneman 1981, The Framing Of Decisions and Psychology of<br />

Choice, Science 211<br />

‣ Arkes, H. and C. Blumer (1985), The Psychology of Sunk Cost, Organisational behavior<br />

And Human Decision Processes.<br />

‣ Mark Buchanan (2009), Why Money messes with your mind- science-in society, New<br />

Scientist<br />

‣ Adam Szyszka,(2003), From Efficient Markewt Hypothesis to Behavioral Finance, SSRN<br />

research Journals<br />

‣ Daniel ,K., Hirshleifer, D. and A. Subrahmanyam, (20<strong>01</strong>), Overconfidence, Arbitrage and<br />

Equilibrium Asset Pricing, Journal of Finance 3<br />

‣ Kahneman, D. and Tvesky, (1979) Prospect Theory: An Analysis of Decision under Risk,<br />

Econometrica 47, 263-291.


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AN ANALYSIS OF FOREIGN EXCHANGE EXPOSURE MANAGEMENT<br />

BY MNCs IN INDIA<br />

ABSTRACT<br />

DR. MANISHA GOEL*; PROF. S.L. GUPTA**; MR. LALIT GOEL***<br />

*Associate Professor, YMCA University of Science & Technology,<br />

Faridabad, Haryana, India.<br />

**Department of Management Studies, Kurukshetra University,<br />

Kurukshetra, Haryana, India.<br />

***Assistant General Manager, Mahavier Die Casters Pvt Ltd.,<br />

Faridabad.<br />

With globalization and liberalization being adopted by almost all countries, scope as well as<br />

sphere of <strong>international</strong> business has become much larger. The high <strong>vol</strong>atility of exchange rates is<br />

a fact of life faced by every company engaged in <strong>international</strong> business, bringing in uncertainties<br />

in their bottom line. In recent years, variations in value of rupee have been very impulsive and<br />

unpredictable. These fluctuations have had a profound impact on domestic and foreign sales,<br />

profit levels and profit margins of MNCs operating in India. Many of the companies have turned<br />

into ashes as a result of unfavorable exchange rate fluctuations. The present study portrays a<br />

thumbnail sketch of foreign exchange exposure management as practiced by various<br />

multinational companies in India. Due to the <strong>international</strong> dependence of its economy, India is<br />

extremely well suited as subject for this kind of study. This article is based on a questionnaire<br />

study undertaken in 2004-2008 using a sample of 200 Indian and foreign MNCs operating in<br />

India. The purpose of this study is to make a comparative analysis of management of foreign<br />

exchange exposure by banking and non banking as well as foreign and Indian MNCs operating<br />

in India. This study deals with various other questions such as what is their attitude towards<br />

exposure management and their policy for management of foreign exchange exposure. Whether<br />

or not there is a separate management system for management of their foreign exchange<br />

exposure? The results of the study evidence that majority of firms face all of three foreign<br />

exchange exposures; transaction exposure, translation exposure and economic exposure. More<br />

over majority of the companies under study have proper exposure management system. There is<br />

not so significant difference between attitude of foreign and Indian MNCs towards development<br />

of separate management system to hedge their foreign exchange exposure. Most of the<br />

companies who are aware of foreign exchange exposure make estimation of their exposure<br />

despite their level of exposure. There is significant effect of objective of management on<br />

estimation of exposure. Most of the companies under the present study are managing only their<br />

transaction exposure. Few of them are managing both transaction as well as economic exposure.<br />

There is no significant difference between attitude of Indian and Foreign companies towards<br />

review of their exposure and hedging policy regularly.<br />

KEYWORDS: Exchange Rate Fluctuations, Foreign Exchange Exposure, Economic Exposure,<br />

Exposure Management, International Business, Transaction Exposure, Translation Exposure.


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INTRODUCTION<br />

The turmoil in the global financial markets, the <strong>vol</strong>atility of the foreign exchange rates and the<br />

intensified global competition in the product and the resource market have complicated the<br />

decision making process and have increased the level of uncertainty regarding the outcome of<br />

<strong>international</strong> business activities. Undoubtedly, Indian economy has proven to be resilient to<br />

substantial exchange rate fluctuations. Arguably, this resilience has strengthened over time, as<br />

firms have learned to adapt to exchange rate variability, including through the development of<br />

the hedging practices of financial institutions and non-financial firms. Changes in information<br />

technologies have also increased the speed and the accuracy of information while the surge of<br />

financial innovations is providing the decision makers with new hedging techniques to deal with<br />

the uncertainty regarding financial flows.<br />

The magnitude of foreign exchange exposure has increased at a mind boggling rate in the recent<br />

times. Foreign exchange exposure is what is at risk of exchange rate variations. It is a measure of<br />

sensitivity of firm’s cash flows of changes in exchange rate. This exchange rate risk may be<br />

transaction exposure, translation exposure or economic exposure. Transaction exposure is<br />

adverse movements of the exchange rate from the time foreign currency denominated<br />

transactions are initiated till the time of their final settlement. The exposure arises due to<br />

conversion of transactions from one currency into another currency. While buying or selling<br />

products in any foreign currency, there is always a time gap between the dates of entering into a<br />

contract and its final settlement. During this time gap, the business firm is exposed to exchange<br />

rate fluctuations. These fluctuations may be favorable as well as unfavorable. The unfavorable<br />

fluctuations may turn a profitable deal unprofitable by the time of actual settlement of contracts;<br />

the longer the gap between the signing of a contract and its completion, the higher the level of<br />

exchange rate risks. Businesses that source their products from foreign countries also face the<br />

exchange rate risk. The exchange rate movements erode gross margins if competition prevents<br />

selling prices from rising in tandem.<br />

Translation exposure arises from the need to "translate" foreign currency assets or liabilities into<br />

the home currency for the purpose of finalizing the accounts for any given period. Multinational<br />

corporations having operations in many countries have to prepare their consolidated financial<br />

statements to have a complete knowledge of result of all their business operations. Usually,<br />

foreign subsidiaries prepare their accounting records and financial statements in the currency of<br />

the country where they operate. For this, it is necessary to translate foreign currency<br />

denominated accounts of subsidiary companies into the currency of parent company. But the<br />

currency fluctuations can create currency gains or losses from such translations. Economic<br />

exposure reflects the extent to which the present value of future cash flows is affected by<br />

exchange rate movements. A change in the rate affects the company's competitive position in the<br />

market and hence indirectly the bottom-line that it affects the profitability over a longer time<br />

span than transaction and even translation exposure. It has neither time limit nor a defined<br />

direction of movement. It is simple to spot the influence of the expected change in exchange<br />

rates on forecasted sales <strong>vol</strong>umes.<br />

The foreign exchange exposures emanating from unexpected corner have a definite impact on<br />

the company. Tackling these exposures is the biggest challenge that companies face today. It


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requires a broad based proactive risk management approach at the strategic level. Unmanaged<br />

foreign exchange exposure can cause significant fluctuations in the earnings and the market<br />

value of the firm. A very large exchange rate movement may cause special problems for a<br />

particular company, perhaps because it brings a competitive threat from a different country. At<br />

some level, the currency change may threaten the firm’s viability, bringing the costs of<br />

bankruptcy to bear. It is more advisable to bear certain costs rather than giving chance to<br />

uncertainties to cause disproportionately high costs to the firm. Foreign exchange exposure not<br />

only affects firm’s financial position but also its competitive position in the market and value of<br />

firm, if ignored it can paralyze the financial position of the company.<br />

Success of a business firm largely depends on how effectively it manages foreign exchange risk.<br />

Foreign exchange exposure management is a multi-staged process that begins with the<br />

identification of foreign exchange exposure. Foreign exchange exposure is then monitored,<br />

quantified and corrected on a daily or weekly basis to ensure that the risk profile of the firm<br />

remains aligned with the objectives of foreign exchange exposure management. They must<br />

regularly enter into hedging strategies that minimize the impact of exchange rate fluctuations on<br />

their operating costs. Hedging refers to a strategy that strives to minimize the risk of exchange<br />

rate fluctuations, thereby minimizing the uncertainty of future transactions denominated in a<br />

foreign currency and providing some stability to earnings and cash flows. The task of managing<br />

these risks has been facilitated by the increasing availability of a variety of instruments to<br />

transfer financial price risks to other parties. This may be one of the reasons that the market for<br />

derivative instruments has grown at a breathtaking pace in the past few decades in India. Foreign<br />

exchange exposure management can not eliminate foreign exchange exposure completely. But<br />

the planned course of action brings risk to manageable level.<br />

2. LITERATURE REVIEW<br />

Foreign exchange exposure is very crucial now a days as cross border trade is increasing day by<br />

day at a very fast pace. But it is also regarded as very complex. One possible reason for the<br />

absence of empirical evidence in the literature may be related to the difficulty in devising the<br />

appropriate measures of a firm’s ability to construct its hedging strategies. There is a dearth of<br />

good literature on this subject, especially in India. Some of the studies identified in this area are<br />

as follow;<br />

Bengt Pramborg, in this study, “Foreign Exchange Risk Management by Swedish and Korean<br />

Non Financial Firms: A Comparative Survey”, 2002, makes a comparison of hedging practices<br />

of Swedish and Korean Firms. The evidence suggests that Korean firms are more concerned<br />

about fluctuations in their cash flows whereas Swedish firms focus on accounting numbers.<br />

Derivatives usage is more popular for hedging among Swedish firms as compared to Korean<br />

firms. It may be a result of relative immaturity of Korean derivative markets. In both of the<br />

countries, majority of firms use a profit based approach to evaluate any risk management<br />

strategy. The study depicts that the decision to hedge foreign exchange exposure is driven by the<br />

level of exposure and size of a firm.<br />

Bradford Cornell and Alan C. Shapiro, in their article, “Managing Foreign Exchange Risks”,<br />

provide step by step guidance for the formulation of an effective strategy for managing currency


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risk. First step is to determine the extent of its exposure to currency risk. Second step is to<br />

identify the objectives of its exchange risk management program. Third step is to design a set of<br />

companywide policies to achieve its objectives. It is observed that the changes in security prices<br />

generally reflect changes in cash flows rather than reported earnings. Currency risk affects all the<br />

facets of a company’ operations and therefore, should not be the concern of financial managers<br />

alone. Operating managers should develop marketing and production initiatives that help to<br />

ensure profitability over the long run. It also pointed out the alarming need for the creation of a<br />

committee including senior officers and top functional executives in order to adopt an integrated<br />

approach for managing foreign currency exposure.<br />

Chand Sooran, in his article, “What is hedging? Why do companies hedge?” presents his views<br />

on hedging of exposures. This article will give a brief overview of the different ways in which<br />

firms approach their financial price risk. They also introduce the rationale for using derivative<br />

products. Companies attempt to hedge the price changes because these risks are peripheral to the<br />

central business in which they operate. Another reason for hedging the exposure of the firm to its<br />

financial price risk is to improve or maintain the competitiveness of the firm. In this article, he<br />

points out that hedging objectives vary widely from firm to firm. The core problem when<br />

deciding upon a hedging policy is to strike a balance between uncertainty and the risk of<br />

opportunity loss.<br />

Chris Becker and Daniel Fabbro, in their paper, “Limiting Foreign Exchange Exposure Through<br />

Hedging: The Australian Experience, 2006-09, examine foreign exchange hedging of direct<br />

balance sheet and transaction exposures and assesses their broader implications for the<br />

Australian economy. This study makes use of quantitative results of Australian Bureau of<br />

Statistics (ABS) surveys in 20<strong>01</strong> and 20<strong>05</strong> for comprehensive data on foreign currency<br />

exposures and hedging practices. This paper examines the available evidence on the nature and<br />

extent of this hedging behavior. In this paper, they show that foreign currency-denominated<br />

assets exceed foreign currency-denominated liabilities, even before accounting for hedging,<br />

thereby conferring a transfer of wealth from the rest of the world to Australian residents in the<br />

event of exchange rate depreciation. Furthermore, overseas demand for Australian Dollar assets<br />

has allowed Australian residents to further hedge their net foreign currency exposures back into<br />

local currency terms through the use of derivatives, insulating the economy against the wide<br />

fluctuations that can be observed in the exchange rate. They have also observed that despite wide<br />

swings in the Australian Dollar, the economy and, specifically, the banking sector, have proved<br />

resilient to variability in the nominal exchange rate.<br />

DAO Van Quynh, writes an essay on “Hedging Foreign Exchange Exposures in a Multi-National<br />

Computer Peripheral Manufacturing Business”, 2004-20<strong>05</strong>. In this essay, he has discussed<br />

various methods and procedures that a MNC can use to hedge its cash flows and investments<br />

against foreign exchange risk through an example of an unreal MNC – ABC Inc. As MNCs have<br />

subsidiaries located in different countries and products sold to different countries, they bear<br />

heavily the risk of exchange rate changes. However, like domestic firms, MNCs also expose to<br />

other risks that are not less importance than foreign exchange one, for example, interest rate or<br />

commodity prices exposures. These exposures can also be hedged using various kinds of<br />

financial derivatives such as swap, forward contract and option contract.


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David A. Carter, Christos Pantzalis and Betty J. Simkins, in a study, “Asymmetric Exposure to<br />

Foreign – Exchange Risk: Financial and Real option Hedges Implemented by U.S. Multinational<br />

Corporations”, 2003, argue that exchange risk exposure and hedging are endogenous. The study<br />

proves that the magnitude of foreign exchange exposure affects the hedging decisions of the firm<br />

and in turn hedging decisions affect the firm’s exposure to fluctuations in exchange rates. It<br />

demonstrates that operational hedges and financial hedges can effectively reduce foreign<br />

currency exposure. The real option aspect of multi-nationality allows the firm to utilize its<br />

network structure to increase exposure to favorable currency movements and minimize exposure<br />

to unfavorable currency movements.<br />

Ian H. Giddy and Gunter Dufey, in their article “The Management of Foreign Exchange risk”,<br />

explore the impact of currency fluctuations on cash flows, on assets and liabilities and on the real<br />

business of the firm. It is demonstrated that there are numerous realistic situations where the<br />

economic effects of exchange rate changes differ from those predicted by the various measures<br />

of translation exposure. It emphasizes the distinctions between the currency of location, the<br />

currency of denomination and the currency of determination of a business. It suggests some basic<br />

principles for managing foreign exchange risk.<br />

Sohnke Bartram, in his paper presents the results of his comprehensive study of the foreign<br />

exchange rate exposure of 447 German non-financial corporation during the period of 1981-95.<br />

The empirical evidence indicates that the firms with more <strong>international</strong> sales exhibit<br />

systematically larger and more significant foreign exchange rate exposures. In addition, firm<br />

liquidity variables, especially cash flow/total assets, are significantly negatively related to the<br />

exposure. Moreover, industry sectors are important determinants of the foreign exchange rate<br />

exposure. As the choice of hedging tools is determined by the exposure profile, nonlinear foreign<br />

exchange rate exposures suggest the use of hedging instruments with nonlinear payoff profiles<br />

such as financial and/or real options.<br />

3. SIGNIFICANCE OF STUDY:<br />

It has been well documented that the vast size of daily foreign exchange trading, combined with<br />

the global interdependencies of the foreign exchange market and payment systems in<strong>vol</strong>ves risks<br />

stemming from exchange rate fluctuations. Continuous fluctuations in exchange rate impose<br />

threats for <strong>international</strong> business. As a result of change in exchange rate, importers may require<br />

to pay extra for their imports, exporters may get lesser value for their exports, borrowers may<br />

required to pay extra and lenders may recover also possible that a viable foreign investment<br />

project may twin into a exchange rate fluctuations. Moreover the financial position and<br />

profitability of a foreign subsidiary may also change. Large scale fluctuations can even bring<br />

dramatic changes in the competitive structure of markets which may even cause some companies<br />

to be driven out of the market. It results in too many questions; whether or not companies in<br />

Indian, are seriously managing their foreign exchange exposure? If not, what is the reason? All<br />

of these questions are required to be answered which initiate this research work.


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4. OBJECTIVES OF STUDY<br />

While the risk management strategy of non-financial firms has been the subject of intense<br />

theoretical and empirical research, very little is known about the actual hedging practices of<br />

multinational firms. This article includes the study of existence of various types of foreign<br />

exchange exposures in MNCs operating in India. Transaction exposure arises at the actual<br />

conversions of unsettled contracted cash flows from one currency to another at the time of their<br />

final settlement. Translation exposure is the result of translation of foreign currency assets or<br />

liabilities into the home currency for the purpose of finalizing the financial statements. Economic<br />

exposure is the adverse effect of exchange rate movements on the present value of expected<br />

future cash flows. It also brings into light various factors affecting foreign exchange exposure<br />

management by the companies. The present study examines the available evidence on the nature<br />

and extent of hedging behavior of companies in India. The focal point of the study is<br />

identification, measurement and management of foreign exchange exposure in selected corporate<br />

sector units in India. Other objectives of the study have been to determine the factors which are<br />

of special importance while managing foreign exchange exposure, examine the facilities<br />

available for managing foreign exchange exposure in India, investigate and verify the techniques<br />

used for managing foreign exchange exposure by corporate units in India.<br />

5. HYPOTHESIS<br />

In this research the following hypothesis have been tested;<br />

1. 20 % of companies do not manage their exposure.<br />

2. Management system of companies does not depend on consideration for effect of<br />

fluctuations and objective of exposure management.<br />

3. Only 40 % of companies managing exposure follow the policy of active management.<br />

4. There is no significant effect of objective of management, management system and<br />

management policy on decision of estimation of exposure.<br />

5. There is no significant effect of origin of company on periodicity of review of their<br />

exposure & hedging policies.<br />

6. There is no significant effect of objective, management system and management policy<br />

on periodicity of review of their exposure and management policies.<br />

6. RESEARCH METHODOLOGY<br />

Using a field study and proprietary data, it unfolds the difference between attitude of various<br />

banking and non banking Indian and foreign MNCs engaged in <strong>international</strong> business in India<br />

towards management of their various foreign exchange exposures. The results presented in this<br />

study are based on a questionnaire study undertaken in 2004-2008. As such the aim is not to<br />

create a large sample selected randomly but to create a sample of information rich cases selected<br />

purposefully. The sample is composed of 200 companies out of fortune 500 companies which


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were ranked on the basis of their sales during the financial year from 1 st Jan to 31 st December<br />

2003, as published in Economic Times in May 2004. Out of 200 companies, 95 companies<br />

responded back to the questionnaire.<br />

All companies are heavily <strong>international</strong>ly oriented as significant proportion of their turnover<br />

originates from foreign markets as per their published accounts. The selected companies cover a<br />

broad specter of players of various sectors such as automobiles, pharmaceuticals, oil, cement,<br />

FMCG, chemicals, steel, IT, textile, nuts, consumer durables, electricity & energy, banking,<br />

paper & paper products and miscellaneous. Management policies for managing foreign exchange<br />

exposure have been divided into mainly three groups; Active management, Regular management<br />

and no management. Three point scales has been used for this purpose. Number 3 has been used<br />

for active management, 2 for regular management and 1 for no management of foreign exchange<br />

exposure. A scale of 1 to 5 has been used to analyze results. Significance was discussed on 5 %<br />

level in all tests used for hypothesis testing. Z test and ANOVA have been applied to test<br />

hypothesis and interpret the results. Graphs and tables have also been used to facilitate the<br />

analysis of data.<br />

7. RESULT & DISCUSSION<br />

On the basis of the study of management of foreign exchange exposure by MNCs in India, the<br />

followings are the findings of the study;<br />

7.1 EXISTENCE OF VARIOUS FOREIGN EXCHANGE EXPOSURES<br />

The speed of <strong>international</strong> business activities has magnified the impact of variable exchange<br />

rates on every business. MNCs have to face different types of foreign exchange exposures such<br />

as transaction exposure, economic exposure and translation exposure. The results for existence of<br />

various exposures are depicted in table 1 and chart 1.<br />

TABLE 1 EXISTENCE OF VARIOUS FOREIGN EXCHANGE EXPOSURES<br />

S. No. Type of Exposure Total<br />

1 Both Transaction & Economic Exposure 22<br />

2 All Three Exposures 73<br />

3 No Exposure 0<br />

Total 95


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CHART 1 EXISTENCE OF VARIOUS FOREIGN EXCHANGE EXPOSURES<br />

Both Transaction &<br />

Economic Exposure<br />

23%<br />

All Three Exposures<br />

77%<br />

Results of the study confirm the general view that the majority of the companies (approx. 77%<br />

companies) face all of three exposures; transaction, economic and translation exposure. Even the<br />

companies which do not have any foreign subsidiary are also facing translation exposure because<br />

of their foreign currency assets and liabilities. There is not even a single company under study<br />

which has been left untouched by any of these exposures.<br />

7.2 COMPARISON OF ATTITUDE TOWARDS MANAGEMENT OF FOREIGN<br />

EXCHANGE EXPOSURE OF BANKING AND NON BANKING COMPANIES<br />

Usually it is observed that companies in India do not manage their exposure. On the basis of this<br />

general observation, null hypothesis has been formulated and tested with the help of z test. A<br />

comparison has also been made between banking and non-banking companies. The results of<br />

comparison are depicted in table 2 and chart 2.<br />

NULL HYPOTHESIS: 20 % of companies do not manage their exposure.<br />

TABLE 2 & CHART 2<br />

ATTITUDE TOWARDS MANAGEMENT OF FOREIGN EXCHANGE EXPOSURE<br />

Companies Facing Exposure Manage Do not Manage Total<br />

Non Banking Companies 76 7 83<br />

Banking Companies 12 0 12<br />

Total 88 7 95


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Do not Manage Exposure<br />

7%<br />

Manage Exposure<br />

93%<br />

RESULT OF Z TEST<br />

Ho: = 0. 20 Sample<br />

p = 7 / 95<br />

P = 0.073 Z<br />

= - 3.094<br />

Results of Z test show that the computed value of z lies outside the acceptance region as<br />

compared to the critical value of z = + 1.96 at 5 % level of significance, therefore, null<br />

hypothesis is rejected. Hence, based on this data the hypothesis that 20 % of companies do not<br />

manage their exposure is rejected. Graph depicts that most of the companies which identify the<br />

effect of exchange rate fluctuations (approx. 93 % companies as shown in table 2) accept the<br />

need of management of their foreign exchange exposure. Comparative study of banking and nonbanking<br />

companies shows that all of the banking companies accept the need for managing their<br />

foreign exchange exposure as in India; it has been made mandatory by RBI for all the banks<br />

dealing in foreign exchange in India. Only 7 % of companies (non-banking companies) which do<br />

not accept even the effect of foreign exchange exposure do not realize any need for managing<br />

their exposure.<br />

7.3 OBJECTIVES FOR FOREIGN EXCHANGE EXPOSURE MANAGEMENT<br />

Different companies have different objectives for their foreign exchange exposure management.<br />

The results showing various objectives of MNCs under the present study are presented in table 3.


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TABLE 3 OBJECTIVES OF EXPOSURE MANAGEMENT<br />

Objective Responses Objective Respondents<br />

Eliminate All Risk 31 Actively Seek Profits 3<br />

Eliminate Risk Selectively 27 Improving Ability to Make Value<br />

Adding Investments<br />

3<br />

Minimizing Net Foreign 10 Reducing Stakeholders Perceived 4<br />

Exchange Exposure<br />

Risk<br />

Stabilization Purpose 5 Seek Competitive Advantages 2<br />

Allow Profits 3<br />

Results of the study do not comply with general view about companies in India. It shows that 35<br />

% companies have proper management system in order to eliminate all of their exposure. 31 %<br />

of the companies try to eliminate their risk selectively whereas 11 % of companies wish to<br />

minimize their risk. Some of the companies follow the policy of stabilization. Only few of the<br />

respondent companies have the other objectives in their mind.<br />

7.4 COMPARISON OF INDIAN AND FOREIGN COMPANIES REGARDING<br />

DEVELOPMENT OF SEPARATE EXPOSURE MANAGEMENT SYSTEM<br />

Firm should take foreign exchange exposure management as a system which provides strategies,<br />

techniques and an approach to recognizing and confronting any threat faced by a firm due to<br />

exchange rate fluctuations. A proper foreign exchange exposure management policy is required<br />

to be framed. The difference between attitude of Indian and foreign companies has been depicted<br />

in table 4 and chart 4.<br />

TABLE 4 & CHART 4 EXISTENCE OF SEPARATE EXPOSURE MANAGEMENT<br />

SYSTEM<br />

Origin of Company<br />

Existence of Management System<br />

Yes<br />

No<br />

Total<br />

Indian 56 26 82<br />

Foreign 9 4 13<br />

Total 65 30 95


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32%<br />

100%<br />

80%<br />

68%<br />

60%<br />

31%<br />

69%<br />

40%<br />

20%<br />

0%<br />

Yes<br />

No<br />

yes<br />

Indian<br />

Foreign<br />

Results of the study do not comply with general observation. It has been observed that there is no<br />

significant difference between Indian and foreign companies regarding their attitude towards<br />

development of management system to hedge their foreign exchange exposure.<br />

7.5 FACTORS AFFECTING ESTABLISHMENT OF SEPARATE MANAGEMENT<br />

SYSTEM FOR FOREIGN EXCHANGE EXPOSURE MANAGEMENT<br />

Whether or not any company will establish a separate management system for management of its<br />

foreign exchange exposure, it depends on many factors. But in this study two factors are<br />

considered to be more important for this purpose. First foremost factor is the identification of<br />

effect of exchange rate variations on the company. Those companies which do not agree that<br />

such kind of variations in exchange rate can adversely affect their business; they will never<br />

establish any system for its management. Another factor is the objective of exposure<br />

management policy of the company. Any company who is willing to minimize or mitigate<br />

exposure by applying various strategies will definitely have separate system for its management.<br />

To study the dependence of management system of companies on these two factors, ANOVA<br />

techniques has been applied where management system is the dependent variable and effect of<br />

fluctuations and objective of exposure management are independent variables. The results are<br />

depicted in table 5.<br />

NULL HYPOTHESIS: Management system of companies does not depend on consideration<br />

for effect of fluctuations and objective of exposure management.


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TABLE 5<br />

FACTORS AFFECTING ESTABLISHMENT OF SEPARATE MANAGEMENT<br />

SYSTEM FOR FOREIGN EXCHANGE EXPOSURE MANAGEMENT<br />

Source<br />

Type III Sum of df Mean F Sig.<br />

Squares<br />

Square<br />

Corrected Model 11.352(a) 2 5.676 54.782 .000<br />

Intercept .419 1 .419 4.044 .047<br />

Effect of Fluctuations .179 1 .179 1.729 .192<br />

Objective of Exposure<br />

7.922 1 7.922 76.462 .000<br />

Management<br />

Error 9.532 92 .104<br />

Total 287.000 95<br />

Corrected Total 20.884 94<br />

a R Squared = .544 (Adjusted R Squared = .534)<br />

The results of ANOVA show that at 5 % level of significance, objective of exposure<br />

management affects significantly the management system of companies. It also shows that<br />

management system of companies does not depend so much on their consideration for effect of<br />

exchange rate fluctuations.<br />

7.6 MANAGEMENT POLICIES OF COMPANIES<br />

MNCs in India follow different management policies for management of their foreign exchange<br />

exposure. There are mainly three policies; no management, regular management and active<br />

management. It is usually stated that most of the companies ignore their foreign exchange<br />

exposure. On the basis of general observation, hypothesis regarding the behavior of companies in<br />

India has been formulated and tested with the help of Z Test. The results are depicted in table 6<br />

and chart 5.<br />

NULL HYPOTHESIS: Only 40 % of companies managing exposure follow the policy of active<br />

management.<br />

TABLE 6 & CHART 5<br />

MANAGEMENT POLICIES OF COMPANIES<br />

Management Policies of Companies<br />

Responses<br />

Do not Manage 7<br />

Actively Manage 55<br />

Regularly Manage 33<br />

Total 95


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Do Not Manage<br />

7%<br />

Regularly Manage<br />

35%<br />

Actively Manage<br />

58%<br />

RESULT OF Z TEST<br />

Ho: = 0. 40<br />

Sample p = 55 / 88<br />

P<br />

= 0.625 Z<br />

= 4.31<br />

Results of Z test show that the computed value of z is beyond the acceptance region of the<br />

critical value of z = + 1.96 at 5 % level of significance, therefore, null hypothesis is rejected.<br />

Hence, based on this data the hypothesis that only 40 % of companies actively manage their<br />

exposure is not true. Graph shows that majority of companies under study are managing their<br />

foreign exchange exposure. The results depict that 35 % of companies manage their exposure<br />

regularly whereas 58 % companies are actively managing their exposure.<br />

7.7 ESTIMATION OF FOREIGN EXCHANGE EXPOSURE<br />

Foreign exchange exposure management is not possible without accurate estimation of exposure.<br />

Estimation of foreign exchange exposure requires expertise in applying various forecasting and<br />

statistical tools such as VaR, regression, simulation etc. Not all the companies make estimation<br />

of their foreign exchange exposure. Usually it has also been observed that foreign companies<br />

possess expertise to make estimations whereas Indian companies do not indulge in such tedious<br />

activities. The results showing attitude of companies towards estimation of their foreign<br />

exchange exposure are depicted in table 7. Whether or not any company will make estimation of<br />

their exposure also depends on many other factors. In this study hypothesis has been formulated<br />

to judge the effect of objective, management system and management policy on estimation of<br />

their exposure. The hypothesis has been tested with the help of ANOVA technique where<br />

estimation of exposure is dependent variable and effect of fluctuations and effect of objective,


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management system and management policy are independent variables. The results of the test are<br />

depicted in table 8.<br />

TABLE 7 & CHART 6 ESTIMATION OF FOREIGN EXCHANGE EXPOSURE<br />

Origin of Company<br />

Estimation of Exposure<br />

Total<br />

Yes<br />

No<br />

Indian 76 6 82<br />

Foreign 12 1 13<br />

Total 88 7 95<br />

E<br />

S<br />

T<br />

I<br />

M<br />

A<br />

T<br />

I<br />

O<br />

N<br />

100%<br />

80%<br />

60%<br />

40%<br />

20%<br />

0%<br />

7%<br />

93%<br />

7%<br />

Indian<br />

93% 8%<br />

No<br />

yes<br />

ORIGIN<br />

Foreign<br />

92%<br />

Results show that most of the companies who are aware of foreign exchange exposure make<br />

estimation of their exposure. It denies the general view that Indian companies do not estimate<br />

their exposure. Indian companies also estimate their foreign exchange exposure despite their


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level of exposure. It has also been observed that majority of companies rely on expectations of<br />

foreign exchange market for measurement of their foreign exchange exposure. Some of the<br />

companies also consider major indicators such as exchange controls, import restrictions, interest<br />

rates and inflation rate while making the analysis of fluctuations in foreign exchange rate.<br />

NULL HYPOTHESIS: There is no significant effect of objective of management, management<br />

system and management policy on decision of estimation of exposure.<br />

TABLE 8 EFFECT OF VARIOUS FACTORS ON DECISION OF<br />

ESTIMATION OF FOREIGN EXCHANGE EXPOSURE<br />

Source<br />

Type III Sum of df Mean F Sig.<br />

Corrected Model Squares 11.523(a) 3 Square 3.841 33.904 .000<br />

Intercept 1.584 1 1.584 13.983 .000<br />

Management System .<strong>01</strong>2 1 .<strong>01</strong>2 .106 .746<br />

Objective 4.542 1 4.542 40.089 .000<br />

Management Policy .094 1 .094 .832 .364<br />

Error 10.309 91 .113<br />

Total 197.000 95<br />

Corrected Total 21.832 94<br />

a R Squared = .528 (Adjusted R Squared = .512)<br />

The results of ANOVA show that at 5 % level of significance, there is significant effect of<br />

objective of management on estimation of exposure. But the effect of management system and<br />

management policy on estimation of exposure is not so significant.<br />

7.8 REASONS FORCING EXPOSURE MANAGEMENT<br />

Foreign exchange exposure, if ignored, can put survival of any company in danger any moment<br />

which may result in huge losses of financial distress. Moreover it has always been arduous to<br />

harmonize investment and financing activities of the company which usually pose the problem of<br />

currency, amount or timing disparity of cash flows. Managers and shareholders of the company<br />

have different interest. Shareholders are more interested in market value of the firm where as<br />

mangers pay more attention towards profits. It may result in agency conflicts about the decision<br />

of management of foreign exchange exposure. Convexity of tax functions also poses threat to<br />

the companies. Usually it is observed that companies consider the question of hedging foreign<br />

exchange exposure as a critical activity as they wish to evade the loss of financial distress. The<br />

results of the study showing the reasons for which companies in India management their foreign<br />

exchange exposure are depicted in table 9 and chart 7.<br />

TABLE 9<br />

REASONS FORCING EXPOSURE MANAGEMENT<br />

Reasons Forcing Exposure Management Responses % age<br />

Costs of Financial Distress 60 63


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Problems of Synchronizing Investments & Financing Activities 40<br />

42<br />

Costs of External Funding 45 47<br />

Agency Conflicts Between Managers and Shareholders 20 21<br />

Convexity of Tax Function 22 23<br />

Costs of External<br />

Funding<br />

Agency conflicts Convexity<br />

of tax<br />

Problem of<br />

Synchronization<br />

Costs of Financial<br />

Distress<br />

Results of the study match with general statements. It shows that most of the companies in India<br />

are worried about the costs of financial distress. Problems of synchronizing investments and<br />

financing activities also force them to take care of their foreign exchange exposure. Few of the<br />

companies consider the force of cost of external funding, agency conflicts and convexity of taxes<br />

while considering the <strong>issue</strong> of management of their foreign exchange exposure.<br />

7.9 MANAGEMENT OF VARIOUS EXPOSURES<br />

Though everyone knows that unmanaged foreign exchange exposure can cause significant<br />

fluctuations in the earnings and the market value of the firm yet it is also argued that hedging is<br />

not so simple exercise. In fact, risk management, essentially, is a strategic function. It requires<br />

specialized skills. It has been observed that companies have different attitude towards<br />

management of their various foreign exchange exposures. This study makes a comparison<br />

between attitude of banking and non-banking companies towards their various foreign exchange<br />

exposures. The results are depicted in table 10 and chart 8.<br />

TABLE 10 MANAGEMENT OF VARIOUS EXPOSURES<br />

Type of Exposure<br />

Non Banking Companies Banking Companies Total<br />

Only Transaction Exposure 48 0 48<br />

All Three Exposures 20 11 31<br />

Both Transaction & Economic Exposure 7 1 8<br />

Only Economic Exposure 1 0 1<br />

No Hedging 7 0 7


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Total 83 12 95<br />

CHART 8 MANAGEMENT OF VARIOUS EXPOSURES<br />

The results of the study confirm the general observation. It shows though 77% of companies<br />

under study face all of three exposures; transaction, economic and translation exposure yet only<br />

24 % of companies are managing all of their exposures. Most of the companies (approx. 60 %)<br />

are managing only their transaction exposure. 8 % of companies are managing their transaction<br />

and economic exposure. Only 7 % of companies (non-banking companies) which do not accept<br />

even the effect of foreign exchange exposure do not manage their exposure.<br />

7.10 FACTORS OF CONSIDERATION FOR EXPOSURE MANAGEMENT<br />

There are many factors which should be duly taken care of while considering any decision of<br />

foreign exchange exposure management. The results of the study show that most of the<br />

companies are worried about few of the factors like inflow-outflow mismatches, timing<br />

mismatches, benefits of hedge and contracted foreign currency cash flows etc. They are not so<br />

serious about many of the other crucial factors such as degree of foreign in<strong>vol</strong>vement by foreign<br />

subsidiaries, variability of expected future cash flows, location of subsidiaries, their accounting<br />

methods, elasticity of demand of their inputs and out puts, strategies of its competitors and<br />

flexibility of their production processes etc. which if duly taken care of, may be prove to be boon<br />

for the company in case of adversities.<br />

7.11 NUMBER OF TECHNIQUES USED FOR EXPOSURE MANAGEMENT<br />

Generally it is observed that companies in India do not manage their foreign exchange exposure<br />

as actively as they do not take it so seriously. Moreover, not many options are available to for


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hedging exposure completely. Companies use few of techniques for hedging their exposure. No.<br />

of techniques used for exposure management has been treated as an indicator of their seriousness<br />

towards exposure management. The results are depicted in table 11 and chart 9.<br />

TABLE 11 & CHART 9 NUMBER OF TECHNIQUES USED FOR EXPOSURE<br />

MANAGEMENT<br />

No. of Techniques<br />

Responses<br />

0 7<br />

1 51<br />

2 15<br />

3 5<br />

4 13<br />

5 4<br />

More Than 5 0<br />

Total 95<br />

4% 7%<br />

5% 14%<br />

16% 54%<br />

Do not Hedge Use 1 Technique Use 2 Techniques Use 3 Techniques Use 4 Techniques Use 5 Techniques<br />

RESULTS OF STATISTICAL ANALYSIS<br />

Mean = 1.778947368<br />

Median & Mode = 1<br />

Standard Deviation = 0.46588033


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Skewness = 1.67198<strong>05</strong>49<br />

Statistical analysis shows that frequency of companies using only one technique is highest.<br />

Graph depicts that 54 % of companies are using only one technique to manage their exposure. 16<br />

% of companies use two techniques. Very few companies use more than two techniques. 5 % of<br />

companies are using three techniques. 14 % of companies are more serious about their exposure<br />

management and use four techniques for hedging their exposure. Whereas only 4 % of<br />

companies apply 5 or more than 5 techniques as they make their best efforts to eliminate<br />

exposure completely.<br />

7.12 COMPARISON OF ATTITUDE OF INDIAN & FOREIGN COMPANIES<br />

TOWARDS REVIEW OF EXPOSURE / HEDGING POLICIES<br />

Success of exposure management requires not only establishment of exposure management<br />

system or applying various hedging strategies. There should be periodic reporting and evaluation<br />

of effectiveness of those hedging policies. System should be developed to smell out danger at the<br />

earliest stage and quicker decision making to handle it. Having a foreign exchange exposure<br />

management system in place will not protect a firm or enhance its performance unless it is<br />

embedded in a risk aware corporate culture. Moreover constant eye on market fluctuations and<br />

exposure is also essential. On one hand, some of the companies do not pay attention for review<br />

of their exposure and hedging policies on the other hand; some of the companies have the system<br />

of daily review. Some of the companies even follow the policy of weekly, monthly or quarterly<br />

review system. Usually it is observed that foreign companies take exposure management very<br />

seriously and they develop systematic periodic review system for regular evaluation of<br />

effectiveness of their hedges whereas Indian companies are no so serious about review and<br />

evaluation. To study the difference in attitude of Indian and foreign companies towards<br />

periodicity of review of exposure and hedging policies, hypothesis has been formulated. The<br />

hypothesis has been tested with the help of ANOVA where periodicity of review is the<br />

dependent variable and origin of company (Indian or Foreign) is independent variable. The<br />

results of comparison are depicted in table 12 and table 13.<br />

NULL HYPOTHESIS: There is no significant effect of origin of company on periodicity of<br />

review of their exposure & hedging policies.


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TABLE 12 COMPARISON OF ATTITUDE OF INDIAN & FOREIGN COMPANIES<br />

TOWARDS REVIEW OF EXPOSURE / HEDGING POLICIES<br />

Origin of<br />

Company<br />

Daily/<br />

weekly<br />

Periodicity of Review<br />

Monthly Quarterly Yearly<br />

No<br />

Review<br />

Total<br />

Indian 45 27 4 4 7 82<br />

Foreign 6 3 2 1 1 13<br />

Total 51 30 6 4 7 95<br />

TABLE 13 COMPARISON OF ATTITUDE OF INDIAN & FOREIGN COMPANIES<br />

TOWARDS REVIEW OF EXPOSURE / HEDGING POLICIES<br />

Source<br />

Type III Sum df Mean Square F Sig.<br />

of Squares<br />

Corrected Model .310(a) 1 .310 .875 .352<br />

Intercept 35.527 1 35.527 100.344 .000<br />

Origin of Company .310 1 .310 .875 .352<br />

Error 28.678 81 .354<br />

Total 357.000 83<br />

Corrected Total 28.988 82<br />

a R Squared = .<strong>01</strong>1 (Adjusted R Squared = -.002)<br />

Graph shows that there is both Indian and foreign companies have similar attitude for review of<br />

their exposure and hedging policies. Most of the Indian as well as Foreign companies review<br />

their exposure and hedging policy on regular basis. ANOVA table shows that at 5 % level of<br />

significance, null hypothesis is accepted. So, there is no significant difference between Indian<br />

and foreign companies regarding their periodicity of review of their exposure and hedging<br />

policies.<br />

7.13 FACTORS AFFECTING ATTITUDE OF COMPANIES TOWARDS REVIEW OF<br />

EXPOSURE / HEDGING POLICIES


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The attitude of any company towards periodicity of review of their exposure and hedging<br />

policies depends on many factors. In this article, to study the effect of objective, management<br />

system and management policy on periodicity of review of their exposure and hedging policies<br />

hypothesis has been formulated. ANOVA has been applied to test the hypothesis where<br />

periodicity of review is dependent variable and effect of fluctuations and effect of objective,<br />

management system and management policy are independent variables. The results of the test are<br />

depicted in table 14.<br />

NULL HYPOTHESIS: There is no significant effect of objective, management system and<br />

management policy on periodicity of review of their exposure and management policies.<br />

Source<br />

TABLE 14 FACTORS AFFECTING ATTITUDE OF COMPANIES TOWARDS<br />

REVIEW OF EXPOSURE / HEDGING POLICIES<br />

Type III Sum of<br />

Squares<br />

df Mean Square F Sig.<br />

Corrected Model 26.665(a) 3 8.888 112.864 .000<br />

Intercept 3.693 1 3.693 46.899 .000<br />

Objective 10.932 1 10.932 138.813 .000<br />

Management System .0<strong>01</strong> 1 .0<strong>01</strong> .<strong>01</strong>6 .899<br />

Management Policy .145 1 .145 1.835 .179<br />

Error 7.167 91 .079<br />

Total 430.000 95<br />

Corrected Total 33.832 94<br />

a R Squared = .788 (Adjusted R Squared = .781)<br />

Since value of p is 0.899 for management system and 0.179 for management policy which is<br />

higher than 0.<strong>05</strong> (5 % level), management system and management policy do not have any<br />

significant effect on periodicity of review of their exposure and hedging policies. But objective<br />

of exposure management have significant effect on periodicity of review.<br />

8. CONCLUSION<br />

Majority of the companies face all of three exposures; transaction, economic and translation<br />

exposure. Even the companies which do not have any foreign subsidiary are also facing<br />

translation exposure because of their foreign currency assets and liabilities. Comparative study<br />

shows that as most of the banking companies have spread their wings in <strong>international</strong> market, no<br />

banking company under the study has been escaped of foreign exchange exposure. Only those<br />

non banking companies which have neither any foreign subsidiary nor any foreign currency<br />

denominated asset or liability are not facing translation exposure. There is not even a single<br />

company under study which has been left untouched by any of these exposures.<br />

All of the banking companies accept the need for managing their foreign exchange exposure as<br />

in India; it has been made mandatory by RBI for all the banks dealing in foreign exchange in


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India. Few of the non-banking companies do not accept even the effect of foreign exchange<br />

exposure do not realize any need for managing their exposure. Majority of the companies have<br />

proper management system in order to eliminate all of their exposure. Some of the companies try<br />

to eliminate their risk selectively whereas some of them also try actively to seek profits or<br />

competitive advantages. Few of them follow the policy of stabilization. Companies also consider<br />

other objectives such as to reduce stake holder’s perceived risk, to improve their ability of<br />

investments and to minimize their risk. Both foreign and Indian MNCs have similar attitude<br />

towards development of separate management system to hedge their foreign exchange exposure.<br />

The results also show that management system of companies does not depend so much on their<br />

consideration for effect of exchange rate fluctuations.<br />

Most of the companies who are aware of foreign exchange exposure make estimation of their<br />

exposure. Both Indian and foreign companies estimate their foreign exchange exposure despite<br />

their level of exposure. There is significant effect of objective of management on estimation of<br />

exposure. But the decision of estimation of exposure is not so much affected with existence of<br />

separate management system and management policy of the company. Most of the companies in<br />

India are worried about the costs of financial distress. Problems of synchronizing investments<br />

and financing activities also force them to take care of their foreign exchange exposure. Few of<br />

the companies consider the force of cost of external funding, agency conflicts and convexity of<br />

taxes while considering the <strong>issue</strong> of management of their foreign exchange exposure. Majority of<br />

companies under study are actively managing their foreign exchange exposure. Though most of<br />

the companies suffer from all of the exposures; transaction, economic and translation exposure<br />

yet only few of them are managing all of their exposures. Most of them are managing only their<br />

transaction exposure. Few of them are managing both transaction as well as economic exposure.<br />

Majority of the companies are using only one technique to manage their exposure. Very few<br />

companies are taking help of two or more than two techniques. These include those companies,<br />

which make their best efforts to eliminate exposure completely. Both Indian and foreign<br />

companies have similar attitude for review of their exposure and hedging policies. Most of the<br />

Indian as well as Foreign companies review their exposure and hedging policy on regular basis.<br />

Management system and management policy do not have any significant effect on periodicity of<br />

review of their exposure and hedging policies. But periodicity of review is significantly affected<br />

by objective of exposure management.<br />

9. BIBLIOGAPHY<br />

Aabo, Tom (20<strong>01</strong>), “E-Commerce and Exchange Rate Exposure Management: A tilt towards<br />

Real Hedging”, Journal of E-Business, Vol. 1, Issue-1 June 20<strong>01</strong>.<br />

Aliber, Robert Z., 1978, “Exchange Risk and Corporate International Finance”, Hasted Press,<br />

New York.<br />

Allayannis, George and E. Ofek, 1997, “Exchange rate Exposure, Hedging, and the Use of<br />

Foreign Currency Derivatives”, Working Paper, University of Virginia.


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Davis, Henry A., and Frederick C. Militello, Jr., 1995, “Foreign Exchange Risk Management: A<br />

Survey of Corporate Practices”, (Financial Executives Research Foundation, Morristown, New<br />

Jersey, USA) 44<br />

He, Jia and Lilian K. Ng, 1998, “The Foreign Exchange Exposure of Japanese Multinational<br />

Corporations”, the Journal of Finance 53 (2), 733-753.<br />

Hiten Jhaveri, “Strategies for Managing Risks”, Chartered Financial Analyst, Dec. 2002.<br />

Jorion, Philippe, 1990, “The Exchange Rate Exposure of U.S. Multinationals”, Journal of<br />

Business 63 (3), 331-45.<br />

Laurent L. Jacque, “Management of Foreign Exchange Risk: A Review Article”, Journal of<br />

International Business Studies, Spring/Summer 1981.<br />

Pringle, John J., 1991, “Managing Foreign Exchange Exposure”, Journal of Applied Corporate<br />

Finance 73-82.<br />

Schrand, Catherine, and Haluk Unal, 1998, “Hedging and Coordinated Risk Management:<br />

Evidence from Thrift Conversions”, Journal of Finance, Vol. 53, No. 3, 979-1<strong>01</strong>3.<br />

Shapiro, Alan C., and Sheridan Titman, 1986, “An Integrated Approach to Corporate Risk<br />

Management”, in Joel Stern and Donald Chew, Eds.: The Re<strong>vol</strong>ution in Corporate Finance (Basil<br />

Blackwell, Ltd. Oxford, England and Basil Blackwell, Inc., Cambridge, Mass.).<br />

Shapiro, Alan C., 1996, “Multinational Financial Management”, 5 th edition, Prentice Hall Inc.,<br />

Upper Saddle River, New Jersey.<br />

T. Ramanan, “Risk Management”, Chartered Financial Analyst, Feb. 2003.


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ABSTRACT<br />

CORPORATE GOVERNANCE INDEX FORMULATION:<br />

COMPLIANCE WITH COMMERCIAL BANKS OF NEPAL<br />

DR. PRASHANT KUMAR*; TARA PRASAD UPADHYAYA**<br />

*Senior Professor, Faculty of Commerce, Vanarasi Hindu University,<br />

Varanasi, India.<br />

**Ph.D. Scholar in the Faculty of Commerce, Banarsa Hindu University,<br />

BHU, Varanasi, India.<br />

The collapse of the US energy Company Enron in 20<strong>01</strong> and followed by other major failure of<br />

WorldCom, Xerox etc. as well as the liquidation case of Nepal Development bank Ltd.,<br />

management takeover of some prime commercial banks by NRB, Unity Scandal created an<br />

environment in Nepal for the formulation and adaptation of Code of Corporate Governance<br />

immediately. This paper attempted to construct corporate Governance Index for Commercial<br />

Banks of Nepal because there was no any prescribed and followed Code of Corporate<br />

Governance applicable for the concerned except the provision laid down in Banking and<br />

Financial Institution act, Companies act and Nepal Rastra Bank act . The objective of<br />

Construction of CGI was to assist the Promoters, Common share holders, Creditors, Investors,<br />

other stake holders and the BOD to determine the Corporate Governance status of the Firm<br />

where they Concern. The Corporate governance index construction method was carried out for<br />

class “A” commercial banks with due assessment of annual disclosures and following the<br />

applicable provisions laid down in the concerned acts and provisions. OECD code of Corporate<br />

Governance is taken as major basis for construction of Index. The Index was constructed with<br />

110 questions distributed as 33 to Board Responsibility, 16 to Board Structure, 14 to<br />

shareholders rights, 33 to Transparency and disclosures and rest 14 to Audit Committee having<br />

yes no pattern with value 1to yes and 0 values to No.<br />

KEYWORDS: Organization for Economic Cooperation and Development, Corporate<br />

Governance Index, Nepal Rastra Bank (The Central bank of Nepal).<br />

INTRODUCTION<br />

Corporate Governance has become the hot topic of debate in the world just after the major failure<br />

of Enron in 20<strong>01</strong>, WorldCom, and Xerox etc. in USA. Likewise Harshad Mehta Scam in 1992,<br />

M.S Shoes insider trading 1994 in India created havoc in Corporate Governance field. Many<br />

studies point out that poor corporate governance was one of the major factors that caused the<br />

1997 Asian financial crisis. Despite signs of mounting currency pressures in the East Asian<br />

countries, most business leaders and policy makers did not expect that East Asia would face a<br />

crisis of such intensity in 1997. Similarly liquidation of Nepal Development Bank Ltd.<br />

management takeover action of Nepal Rastra Bank concerned to Nepal Bangladesh Bank and<br />

Kumari Bank ltd has attracted the eyes and minds of Nepalese academic, professionals, corporate


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bodies, regulatory authorities, promoters, common shareholders, all the stakeholders including<br />

the Government of Nepal. In simple form the corporate governance includes the interrelated and<br />

interlocked relation of the players like shareholders, the management, the board of directors, all<br />

the stakeholders including the society and the Government of the Nation. Academician treats it<br />

as a problem of separation of management and ownership and so on.<br />

The one and only major objective of this paper is to make a frame work on the basis of relevant,<br />

applicable laws and provisions of Nepal for the development of Corporate Governance Index<br />

with special reference of OECD code of Governance.<br />

A descriptive research design is followed to frame the Corporate Governance Index formulation<br />

principle especially concerned to the Commercial Banks of Nepal. All the Commercial Banks<br />

which are listed in Nepal Stock Exchange Limited the one and only stock exchange are targeted.<br />

The Corporate Governance Index for Nepalese Commercial Banks runs from 0(Zero) to<br />

110(hundred and ten) where higher values indicate the better Governed firm vice versa. The<br />

Index construction procedure follows the answering of 110 yes/no questions on the basis of<br />

prevailing rules and provisions of applicable act concerned to CB. While Constructing the CGI<br />

principles no direct questionnaire interviews and field observation is carried out. The Index<br />

formulation procedure follows the answering of 110 questions distributed as 33 to Board<br />

Responsibility, 16 to Board Structure, 14 to shareholders rights, 33 to Transparency and<br />

disclosures and rest 14 to Audit Committee having yes no pattern with value „1‟to yes and „0‟ to<br />

No.( Varuna L Ramlal, Ananchotikut:2008). The CGI of Nepal for the CB is formed as a<br />

composite Index. Each of five areas of CGI total is to be divided by each group total value and<br />

multiplied by the weight of that group to find out the each group value. Finally each group value<br />

so calculated is summed up for getting the CGI in composite form. When the CGI of all the CB<br />

is calculated then they are easily ranked with highest to the lowest Index firm.<br />

(1)This study covers the only the CB‟s of Nepal<br />

(2) CGI is calculated relying on the disclosure of CB‟s annual Publications<br />

(3) The study is merely limited to the construction procedure and method of CGI of CB<br />

Corporate Governance is the set of relationships between a company‟s management, its board,<br />

shareholders and other stake holders (OECD, 2004) . Good Corporate Governance should<br />

facilitate effective monitoring and provide proper incentives for the board and its shareholders<br />

(OECD, 2004). The relationship among various participants in determining the direction and<br />

performance of Corporations is Corporate Governance (Monks & Minow, 20<strong>01</strong>). Corporate<br />

Governance is a system, by which corporates are directed and controlled.It deals with how a<br />

company fulfils its obligations to investors and other stakeholders. It is about commitment to<br />

values and ethical business conduct and a hgh degree of transparency. (Cadbury Committee<br />

report, 1991). The Organisation for Economic Cooperation and Development was one of the<br />

earliest non-govermental Oraganization to work on and spell out the Code of Corporate<br />

Governance for the overall benefit of the concerned. The summarised code of Corporate<br />

Governance of OECD are as follows:


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(1) THE RIGHTS OF SHAREHOLDERS: The rights of shareholders include a set of<br />

rights to secure ownership of their shares, the right to full disclosure of<br />

informations,voting rights, participation in decissions on sale or modification of corporate<br />

assets, mergers and <strong>issue</strong> of new shares.<br />

(2) EQUITABLE TREATMENT OF SHAREHOLDERS: The protection of minority<br />

shareholders rights, by setting up systems that keep insiders, including managers and<br />

directors, from taking undue advantage of their roles. For example insider trading is<br />

explicitly prohibited and directors should disclose any material interest regarding<br />

transaction.<br />

(3) STAKEHOLDERS AND CORPORATE GOVERNANCE: OECD pointed out that<br />

besides the Shareholders there are numerous stakeholders concerned to the company<br />

example Bond Holders, Bankers, Creditors, Employees, the Society and the Government<br />

as well. The OECD has lain down several provisions for the protection of all the<br />

stakeholders.<br />

(4) DISCLOSURE AND TRANSPARENCY: This principle covers the areas of Board<br />

Structure, Directors remuneration, audit committee and role, key financial indicators to<br />

be communicated to the shareholders and the stake holders as their rights concerned.<br />

(5) THE RESPONSIBILITIES OF THE BOARD: The OECD principles set the way for<br />

director‟s responsibilities and accountabilities concerned to their rights and duties. These<br />

include corporate strategy, risk, executive compensation and performance as well as<br />

accounting and reporting systems. (OECD, 2004)<br />

Quality Governance, restoration of investors Confidence, protection of investors by improving<br />

the accuracy and reliability of corporate disclosures, are the key areas of Corporate Governance.<br />

(Sarbanes-Oxley Act: 2002)<br />

BASIS FOR CONSTRUCTION OF CB’S CGI:<br />

The CGI have been constructed by many authors, Researchers‟, academician as well as by body<br />

corporate but the irony of the fact is that all the indices are directly concerned to the developed<br />

nations. The economies of developing nations also needed the indices for the measurement of<br />

Corporate Governance status of their company form of organization as well. The available<br />

Corporate Governance Indices which are notable could be the index developed by<br />

Ananchotikul(2008), Black, jang and Kim(2003), khanna et al(20<strong>01</strong>), klapper and love(2002) out<br />

of them the Index developed by Ananchotikul(2008) is directly concerned to developing Nations.<br />

According to Ananchotikul the major aspects of Corporate Governance are: Board structure,<br />

Board responsibility, Conflict of interest, Shareholders rights and Disclosure and transparency.<br />

In total 87 criteria are considered for construction of CGI in Thailand by Ananchotikul and She<br />

collected the related information concerned to the above sub indices from the sources like<br />

Company Disclosure Reports, Company Website, Stock Exchange of Thailand etc.


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Since our CGI are to be constructed for the Commercial Banks of Nepal the major Provisions of<br />

NRB, BAFIA no 6/2<strong>01</strong>0 for Corporate Governance are duly considered for the Construction of<br />

CGI. Besides the BAFIA the following mentioned acts and bodies provisions are also taken into<br />

consideration<br />

TABLE: I<br />

SHOWING THE ACTS, BODIES AND PROVISIONS CONCERNED TO CGI OF CB IN<br />

NEPAL<br />

SN<br />

Title of the Acts or concerned Authentic body Code<br />

1 Company Act 2003 ca<br />

2 Company Registrar office cro<br />

3 Unified directives of Nepal Rastra Bank-2<strong>01</strong>0 udnrb<br />

4 Banks and Financial Institutions Act, 2006 bafia<br />

5 Banking Offence and Punishment Act, 2008 bopa<br />

6 Contract Act 2000 coa<br />

7 Securities Act 2006 sa<br />

8 Securities exchange board of Nepal regulation 2064 sebon<br />

9 Nepal Stock exchange Ltd.( NEPSE) nepse<br />

10 Securities Exchange Act. 1983 sea<br />

11 Nepal Chartered Accountants Act, 1997 ncaa<br />

12 Nepal Accounting Standards ns<br />

13 Nepal Standards on Auditing nsa<br />

14 Insurance Board of Nepal ibn<br />

15 Nepal Rastra Bank nrb


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16 Institute of chartered Accountants of Nepal ican<br />

17 Nepal Rastra Bank Act, 2002 nrba<br />

18 Income tax act 2000 ita<br />

19 Labor act 1992 la<br />

Nepal is a developing country and reeling with the problem of political instability, lower<br />

economic growth, and higher inflation and around an environment of stagnation for the<br />

development of manufacturing sector and export trade. The financial sector is showing an<br />

optimistic environment but how long there is a big question….? on account of afore mentioned<br />

problems. There is no any code of Corporate Governance prevailing in the nation. Therefore the<br />

attempt has been done to show the path way of construction of CGI on the basis of above<br />

mentioned Acts, Bodies and their applicable provisions so far is associated and duly concerned<br />

to CB‟s of Nepal for Governance. The OECD principles of Corporate Governance are also taken<br />

as the primary basis for the Construction of CGI of CB‟s in Nepal. There are all together 110<br />

questions being divide into five classes having a weight of 30% to Board responsibilities,14.55%<br />

for Board structure,12.72% for shareholders rights, 30% for transparency and disclosures and<br />

12.72% for audit Committee concerned to construction of CGI for CB‟s of Nepal.<br />

TABLE: II<br />

SHOWING THE PROBABLE KEY AREA OF CORPORATE GOVERNANCE<br />

PRACTICES IN NEPAL<br />

Category: I ( Board Responsibilities)<br />

Sn. Questions Yes No<br />

1 Has the board stated its business objectives?<br />

2 Is the board able to show strategic guideline?<br />

3 Has the board established the qualification and competence of CEO or MD<br />

besides the NRB?<br />

4 Is the Board consulting supervisors when assessing senior managers?<br />

5 Does the board approve major activities such as loans, liquidity, investment,<br />

insurance underwriting etc?<br />

6 Does the board ensure and approve that the compensation of the senior


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management members and key personnel is in keeping with the institution‟s<br />

culture around?<br />

7 Does the board ensure and approve that senior management has stated policies<br />

and procedures to ensure that their activities are in keeping with the approved<br />

business<br />

Strategy?<br />

8 Does the board approve the company‟s methods of control and ensure that<br />

they are functioning properly?<br />

9 Does the board ensure that there is an effective form of risk management in<br />

place?<br />

10 Does the board understand the statutory obligations of financial Institutions?<br />

11 Does the board ensure that the compliance of statutory obligations of financial<br />

Institutions is fulfilled?<br />

12 Does the board monitor financial performance of the firm?<br />

13 Does the board establish standards of conduct and ethical behavior for persons<br />

in the organization?<br />

14 Does the board communicate with supervisors and convene meetings when<br />

they request?<br />

15 Is the board informed of reports <strong>issue</strong>d by supervisors and ensures that and<br />

their recommendations are implemented?<br />

16 Does the board self assess periodically?<br />

17 Does the board report to shareholders on the financial conditions of the<br />

company?<br />

18 Does the board consult the shareholders when deciding on activities which will<br />

influence them?<br />

19 Does the board report significant and material information to the shareholders?<br />

20 Does the board report shareholders agreements that might affect their<br />

investment decisions?<br />

21 Does the board submit compensation reports to shareholders for approval<br />

before such compensation packages are implemented?


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22 Does the board have a formal program for new directors and persons identified<br />

as possible successors to senior management and for other critical functions<br />

within the firm?<br />

23 Does the succession program cover the financial regulatory system?<br />

24 Do the board members sign the NRB‟s code of ethics?<br />

25 Does the board members fell that the codes of NRB is Ok?<br />

26 Have you received credit and funds base facility and loan after being BOD of<br />

this bank?( Other than FDloan,Gov./NRB bonds loans and employee facility<br />

loan)<br />

27 Have you recommended Loan officer/ CEO for granting any kind of loan to<br />

your friends, relatives or others from this bank?<br />

28 Does the board face pressure while deciding on important institutional <strong>issue</strong>s<br />

from Customer association, trade union, and political leader?<br />

29 Does your bank holds the following policies:<br />

(a) Policy relating to Human Resource Development?<br />

(b) Policy relating to Credit?<br />

© Policy relating to Assets and liability?<br />

(d) Profit planning Policy?<br />

(e) Investment Policy?<br />

(f) Procurement policy<br />

30 Does the board meetings are pre scheduled and communicate to each member<br />

at the beginning of the financial year except the cases of emergencies?<br />

31 Does the board respect the laws relating to stakeholders?<br />

32 Whether the board has adopted the policy of employees participation or not?<br />

33 Whether the board allows the stakeholders for better corporate Governance or<br />

not?


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Yes<br />

No<br />

Category :II ( Board structure)<br />

1 Is the chairperson of the board a different person from the CEO of the<br />

company?<br />

2 Is the division of responsibilities, and authorities of Chairperson and CEO is<br />

clear?<br />

3 Are all the board members in keeping with fit and proper guidelines?<br />

4 Does the firm have a conduct review committee?<br />

5 Does the firm have a remuneration committee?<br />

6 Does the firm have a compensation committee?<br />

7 Does the firm have a nomination committee?<br />

8 Does the firm have a risk management committee?<br />

9 Does the firm have a loan review committee?<br />

10 Does the firm have a procurement committee?<br />

11 Does the firm have an independent audit committee?<br />

12 Does BOD consume full time of meeting?<br />

13 Does BOD meeting commence on scheduled time?<br />

15 Does BOD meeting‟s agenda communicated within due period?<br />

16 Does BOD meeting conducted within proper code?<br />

Category: III( Shareholders Rights) Yes<br />

No<br />

1 Does the firm hold an annual general shareholders meeting on prescribed time<br />

duly?<br />

2 Does the firm use the one share one vote rule?<br />

3 Does the firm informed shareholders about Annual General meeting before


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21days?<br />

4 Does the firm allow proxy voting?<br />

5 Does the firm allow cumulative voting?<br />

6 Does the firm allows voting by an electronic means (email,fax,text message<br />

voting)?<br />

7 Does the firm have a clearly disclosed dividend policy?<br />

8 Does the firm state why the dividend is set a particular value?<br />

9 Does the AGM conducted according to NRB and Company Act Provisions?<br />

10 Does the AGM commences and ends within the scheduled time?<br />

11 Does the firm let the shareholders the secure method of ownership registration,<br />

transfer of their shares?<br />

12 Does the board allowed the shareholders to raise queries relating to External<br />

Audit and ancillaries in the AGM?<br />

13 Whether all series of shareholders are treated equally?<br />

14 Whether the board is aware about the Minority shareholders?<br />

Category: IV(Transparency and disclosure) Yes<br />

No<br />

1 Does the full board meet in accordance with the stipulations in the company‟s<br />

by-laws and articles?<br />

2 Has the NRB requested more frequent board meetings?<br />

3 Do all the directors meet when boards meet?<br />

4 Does the firm state the attendance of individual directors at meeting?<br />

5 Do the directors honor their commitments to the committees and subcommittee<br />

of the board?<br />

6 Does the firm state the attendance of individual directors at heir committee<br />

meeting?


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7 Are documents concerning the agenda , board minutes and papers forwarded<br />

to directors prior to meeting and with enough time to allow perusal of such<br />

documents?<br />

8 Is the meeting attendance recorded?<br />

9 Does the board keep a record of how persons attended the meeting-in person,<br />

via phone or other technology?<br />

10 Are minutes taken at each board meeting?<br />

11 Do the minutes record which board member abstained from voting on a<br />

particular <strong>issue</strong>/s?<br />

12 Does the chairperson maintained controlled at all board meeting?<br />

13 Does the chairperson do so without dominating the discussion?<br />

14 Does the chairperson stimulate debate by ensuring that each member<br />

contributes to the discussion?<br />

15 Does the chairperson guide discussion but make sure that disagreements and<br />

discussion are resolved?<br />

16 Does the Chairperson ensure that the decision made are properly understood<br />

and properly recorded?<br />

17 Does the company a website?<br />

18 Is the annual report available for download from the company website?<br />

19 Does the website or annual reports contain information on the biography of<br />

directors?<br />

20 Does the company get published its unaudited income statement and balance<br />

sheet quarterly?<br />

21 Does the company disclose its Income statement and balance sheet within due<br />

period after the end of Financial Year?<br />

22 Does the company disclose the full name as well as the description of their<br />

business?<br />

23 Does the company disclose their registered address?<br />

24 Does the company disclose the address of their registrar?


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25 Does the company disclose their directors names and address?<br />

26 Does the company disclose their date of incorporation?<br />

27 Does the company give a brief history of their operations?<br />

28 Does the company disclose the structure of authorized and <strong>issue</strong>d capital?<br />

29 Does the company disclose the recent capital history?<br />

30 Does the company disclose the history of dividend?<br />

31 Does the company state any special conditions related to company share<br />

transfer?<br />

32 Does the income statement and Balance sheet of the company discloses off<br />

balance sheet items in compliance with Nepal Accounting Standard and Nepal<br />

Standards on audit?<br />

33 Does company discloses the financial target in the Annual report?<br />

Category: V(Audit Committee) Yes No<br />

1 Does the firm have an independent audit committee?<br />

2 Do the firms audit committee lead by non executive director with employee‟s<br />

participation?<br />

3 Is the chairman of audit committee is independent?<br />

4 Has the audit committee been able to review the financial statements and <strong>issue</strong><br />

a report to the board before the statements have been approved?<br />

5 Does the audit committee monitor management and staff compliance with<br />

policies, law, regulations and guidelines?<br />

6 Does the audit committee review investment and transactions that may<br />

adversely affect the institution?<br />

8 Does the audit committee supervise audits to ensure that both internal and<br />

external auditors are acting independently of management?<br />

9 Does the audit committee monitor the efforts of management to correct<br />

shortcomings identified by external and internal auditors?<br />

10 Does the audit committee conduct their meeting according to the provision of


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NRB and Company Act?<br />

11 Does the audit committee pursue meetings with the full board to discuss<br />

matters of concerns to this committee?<br />

12 Does the audit committee review returns that the NRB specifies?<br />

13 Does the audit committee ensure that the risk management function is<br />

independent and comprehensive?<br />

14 Has the audit committee ensured that an independent audit firm is hired to<br />

audit management‟s financial statement?<br />

The path way for construction of CGI for Nepal demonstrated in this paper is especially<br />

applicable to the Commercial Banks but it does not mean that the way could not be followed for<br />

other company form of organization. Since there is no any specific Code of Corporate<br />

Governance in Nepal it creates an immense goodwill path for the Governance part of<br />

Institutions. The CGI index shall help the Organization to assess and value them where they<br />

stand in Corporate Governance environment. It will also help the Common Shareholders,<br />

Promoters, Bond holders, Depositors‟, Employees and all the stake holders to know the<br />

Governance status of the organization where they are going to associate. The Good Governance<br />

Status with high rank leads the better performance of the organization.<br />

This is a minor effort so the further research on the same field is awaited. The Government of<br />

Nepal, through its own System will have to Formulate and Implement the Code of Corporate<br />

Governance for better functioning of Organizations and must create the Environment of<br />

trustworthiness among the players of Corporate Governance.<br />

BIBLIOGRAPHY<br />

A.C.farnando. (2008). Corporate Governance principles, policies and practices. Dorling<br />

Kindersley(India) pvt.Ltd.<br />

Ananchotikul, N. (2008). Does Foreign Direct Investment Really Improve Corporate<br />

Governance? Evidence from Thailand.<br />

Black, S. B., Hasung, j., & Woochang, K. (2003a). Does Corporate Governance affect firm<br />

value?Evidence from Korea.<br />

Chhotray, V., & Stoker, G. (2009). Governance theory and Practice A cross Disciplinary-<br />

Approach. 1-3.


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Committee, C. (1991).<br />

F.Klapper, L., & Lnessa, L. (2002). Corporate Governance, Investor Proction and Performamce<br />

in Emerging markets.<br />

Gopalsamy, N. (2006). A Guide to Corporate Governance. New Age International (p) limited.<br />

Jr., J. C. (2006). Gatekeepers The Professions and Corporate Goernancev. In J. C. Jr.,<br />

Gatekeepers The Professions and Corporate Goernancev (pp. 2-4). Oxford University press.<br />

Khana, T., Joe, K., & Krishna, P. (20<strong>01</strong>). Globolisation and Corporate Governance<br />

Convergence? A Cross country Analysis.<br />

meshram, p. (20<strong>05</strong>). corporate Governance. Wide Vision.<br />

Monks, R., & Minow, N. (20<strong>01</strong>). Corporate Governance.<br />

NRB. (n.d.). Retrieved May 5th, 2<strong>01</strong>1, from www.nrb.org.np<br />

(2004). OECD.<br />

OECD. (2004). OECD code of Corporate Governance. OECD.<br />

OECD. (2004). OECD Code of Corporate Governance. OECD.<br />

Sarbanes-OxleyAct. (2002).


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ABSTRACT<br />

MBNQA - A STRATEGIC INSTRUMENT FOR MEASURING<br />

PERFORMANCE IN HEALTHCARE ORGANIZATIONS<br />

: AN EMPIRICAL STUDY<br />

SUNIL C. D’SOUZA*; A. H. SEQUEIRA**<br />

*Department of Humanities, Social Sciences and Management,<br />

National Institute of Technology Karnataka, Surathkal, Manglore,India.<br />

**Department of Humanities, Social Sciences and Management,<br />

National Institute of Technology Karnataka, Surathkal, Manglore, India.<br />

In a free market economy, achieving the highest performance and thereby the organization‟s goal<br />

is the ultimate responsibility of management. Quality awards have been increasingly promoted<br />

by governments, public, and private organization with intention of promoting and motivating<br />

quality management practices. The literature review indicates that the strategic determinants are<br />

a key for a competitive advantage and essential ingredient for effective performance in the<br />

organization. The research paper applied Malcolm Baldrige Model to evaluate performance in<br />

healthcare organizations. It is observed that there is significant number of healthcare<br />

organizations that has a silver line performance based on MBNQA criteria. The findings of the<br />

study shows that MBNQA determinants are not only indicators of quality management but also<br />

directly affect the performance of healthcare organizations. The results of the study provide<br />

potential benefits for quality management and performance in healthcare organizations. The<br />

study concludes with recommendations to ensure the successful application of Malcolm Baldrige<br />

Quality Framework criteria in the healthcare organizations.<br />

KEYWORDS: Healthcare Organization, Malcolm Baldrige Quality Framework, Performance,<br />

Strategic determinants.<br />

INTRODUCTION<br />

The Oxford dictionary describes an organization as “an organized body of people with a<br />

particular purpose”. Organizations, whether business, government or non-profit, play an<br />

important part in satisfying the complex and changing needs of the society. In doing so,<br />

organizations bring together their human, capital, financial, physical and information resources<br />

and produce products and services that meet the needs of the society. Performance management,<br />

a relatively new concept to the field of management, in its simplest form in<strong>vol</strong>ves all activities<br />

that are put in place by an organization to ensure that its goals are consistently being met in an<br />

efficient and effective manner. Performance management can focus on the performance of an<br />

organization, a department in the organization, a process to produce a product or service or an<br />

individual or group of employees McNamara, 1997). Managing performance helps to maximize<br />

the contribution of both individuals and teams in an organization. While helping to identify key<br />

<strong>issue</strong>s and organizational priorities, effective management of individuals and teams will result in


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the organization achieving high levels of organizational performance (Armstrong & Baron,<br />

2004). As with any industry, the healthcare industry is also under extreme pressure from the<br />

challenges it faces. These challenges include rising costs, reduced profitability and increasing<br />

inefficiency and patient expectations. There is also increasing pressure from competitors,<br />

governments and regulatory bodies to constantly improve performance, quality, safety and<br />

access and drive organizational excellence (Microsoft, 2008). This requires that the health care<br />

industry also focus its attention on maintaining standards of care in addition to the areas of<br />

business, quality and management, making it difficult for healthcare organizations to use „off the<br />

shelf ‟ systems and methods for measuring and managing performance both at individual and<br />

organizational levels. Also, the industry being service driven, many of the current performance<br />

management tools and methods which work well in other industries may not be directly<br />

applicable to the healthcare industry. Performance management in health systems becomes more<br />

difficult due to several factors including the lack of effective methods for enhancing<br />

performance, lack of leadership, accountability and line management as well as poor strategic<br />

planning. An appropriate model for managing performance in the healthcare industry should be<br />

flexible, adaptable and responsive to changes in the healthcare industry. There is a need for<br />

strategic determinants to improve Service quality and performance was the crux of this paper.<br />

This paper expected to serve as a practical implementation of strategic determinants for the<br />

transformation of service quality, and specifically improving the performance and to develop<br />

performance excellence strategies. These strategies will need to promote continuous performance<br />

improvements in quantity, quality and equity of service provision.<br />

LITERATURE REVIEW<br />

Some of the popular contributions for managing the performance are Malcolm Baldridge<br />

National Quality Award (MBNQA), European Foundation for quality management (EFQM) and<br />

the balanced score card (BSC). The Balance score card (BSC), frame work lack basic guidelines<br />

for selecting performance measures and complexity in financial and customer perspectives.<br />

Neely et al. (1995), state that there is a serious flaw is the absence of competitiveness dimension<br />

in this framework, which is also outlined by Fitzgerald et al. (1991). The balanced scorecard also<br />

shows a lack of consideration to the measurement of human resources, employee satisfaction,<br />

supplier performance, product/service quality and environmental/community perspective<br />

(Brown, 1996; Lingle and Schiemann, 1996; Maisel, 1992). The system of performance<br />

measurement, if properly designed and implemented, will focus organizational efforts on to a<br />

common purpose by directing everyone‟s attention into a set of key goals and objectives.<br />

Furthermore, it will constitute the basis to encourage the appropriate behaviours, assess<br />

individual and team performance and reward significant contributions towards quality.<br />

Dabholkar et al., (1996) developed retail service quality scale taking into account retailing<br />

service quality dimensions and developed five dimensions, which are personal interaction,<br />

policy, physical aspects, reliability and problem solving. Sureshchandar et.al., (20<strong>01</strong>),identify<br />

twelve strategic determinants of quality management for service organization which includes, top<br />

management commitment and visionary leadership, human resource management ,technical<br />

system, information and analysis system, benchmarking, continuous improvement, customer<br />

focus, employee satisfaction, union interventions, social responsibility, servicescapes, and<br />

service culture. Finally, to measure or assess the performance, a comprehensive system is<br />

necessary.


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Organizational performance excellence means different things to different organizations<br />

(Prescott, 1998). According to Robson (1988), the absence of a comprehensive and integrated<br />

practical model has caused the demise of many efforts to introduce organizational performance<br />

excellence. Therefore construction a definition of organizational performance excellence seems<br />

to be quite a challenging task (Kanuft et al., 1991). Samson and Challis (1999) state that the<br />

world‟s truly excellent companies illustrate definite observable patterns. These patterns include:<br />

a single, integrated improvement strategy, a conscious focus on using a set of fundamental<br />

principles of management to guide behaviour in their organization, active management of<br />

performance, linking rewards for all employees to organizational performance, benchmarking<br />

themselves against other leading companies and setting corresponding stretch goals and most<br />

importantly, linking together the elements of strategy, actions and operations, performance and<br />

rewards in powerful, sensible ways. Rhinesmith (1966) is of the opinion that no business can<br />

excel and succeed without a proper business strategy, which must be translated into appropriate<br />

policies, processes, structures, procedures and plans of action. This implies that the integration of<br />

these elements into an efficient and effective management system is a prerequisite for corporate<br />

success and also the foundation of a global strategy. Marquardt (1999) identifies the elements of<br />

business success and refers to what he calls “global competencies”, which the defines as a “a<br />

strategic mastery of identified global business skills, an ability to operationalise key global<br />

concepts, and a mastery of global competitive and organizational dynamics.” These have been<br />

further defined as follows: describing the forces behind the globalization of business,<br />

recognizing and connecting global market trends, technological innovation and business strategy,<br />

identifying <strong>issue</strong>s essential to effective strategic alliance, farming day-to-day management <strong>issue</strong>s,<br />

problems and goals in a global context, thinking and planning beyond historical, cultural and<br />

political boundaries, structures, systems and processes; creating and effectively leading<br />

worldwide business teams, and establishing a functional global organizational structure.<br />

Against the background of premises formulated by different scholarships, and for the purpose of<br />

this study, organizational performance excellence, therefore, can be conceptualized as a goal,<br />

based on corporate culture, values and belief systems (mindsets), underlined by an integrated<br />

framework and fundamental strategic determinants. These strategic determinants provide the<br />

foundation stones on which an organization committed to excellence can build it strategic<br />

competitiveness (Denton & Campbell, 1999). It is <strong>international</strong>ly accepted that excellence model<br />

provide potential benefits for organizations to enhance service delivery and performance<br />

excellence. Excellence models identify organizational accepted theoretical frameworks and<br />

recognized criteria (strategic determinants) for performance excellence. They provide<br />

organization-wide assessment and create a conceptual framework for the way organizations can<br />

strategically position themselves.<br />

MALCOLM BALDRIGE MODEL<br />

The strategic determinants of Malcolm Baldrige National Quality Framework includes<br />

leadership, strategic planning, customer focus, measurement, analysis, and knowledge<br />

management, workforce focus, process management, and results (Figure1). These dimensions are<br />

termed as seven categories and points (US DoCNBS 2008).


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Source: US Department of Commerce National Institute of Standards and Technology<br />

FIGURE: 1 MALCOLM BALDRIGE NATIONAL QUALITY AWARD (MBNQA)<br />

MODEL<br />

LEADERSHIP<br />

As for any management innovation or change, strong and committed leadership is essential for<br />

successful quality programmes (Deming W.E.1986; Flynnet.al 1994) Leadership provides the<br />

energy and motivation for continuous improvement and innovation (Beer, 2003). In MBNQA,<br />

leadership is defined as the guidance and visible participation that senior leaders provide in<br />

setting organizational values, directions, performance expectations and social responsibilities<br />

(US DoCNBS 2003).<br />

STRATEGIC PLANNING<br />

This determinant represents the relationship between an organization‟s quality planning and the<br />

overall organizational strategy (Deming W.E. 1986; Juran, J.M., 1993). In order to achieve<br />

quality excellence, quality improvement plans must be fully integrated into the corporate<br />

competitive strategy (Barclay, C.A., 1993). Strategic quality planning should address<br />

development and deployment of action plans, along with clear priorities, and required resources.<br />

CUSTOMER AND MARKET FOCUS<br />

This determinant examines the effectiveness of an organization‟s key processes for knowledge<br />

acquisition concerning current and future customers and markets. The organization must have<br />

formal processes to research the ever-changing market conditions, customer requirements and


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expectations, and new approaches to improve customer relationships and satisfaction (Steeples,<br />

1992).<br />

MEASUREMENT, ANALYSIS AND KNOWLEDGE MANAGEMENT<br />

This determinant is the newest dimension among the MBNQA criteria. It evaluates an<br />

organization‟s processes to measure its performance in terms of the scope, validity, and<br />

management of relevant data and information. It also measures the effectiveness of the firm‟s<br />

processes for information and knowledge management (US DoCNBS. 2003).<br />

HUMAN RESOURCE FOCUS<br />

Achieving and maintaining high levels of quality depend on the effective use of human talents<br />

and abilities (Steeples1992). Human resource focus addresses key practices that the organization<br />

uses for creating and maintaining a high-performance workplace through developing,<br />

empowering and rewarding employees (US DoCNBS. 2003).<br />

PROCESS MANAGEMENT<br />

This determinant evaluates an organization‟s systematic approaches to value creation and quality<br />

management processes. It includes the quality of product/service design, manufacturing process,<br />

and product variance reduction (US DoCNBS. 2003).<br />

BUSINESS RESULTS<br />

This determinant is an overall score for quality management that measures results of customer<br />

focus, products and services, financial and market outcomes, human resources, organizational<br />

effectiveness, and governance and social responsibility (US DoCNBS. 2003).<br />

TABLE 1: MBNQA CRITERIA, 2008-2009<br />

Sl. No. Criteria (Strategic determinants) Category points<br />

1 Leadership 120<br />

2 Strategic planning 85<br />

3 Customer focus 85<br />

4 Measurement, analysis, and knowledge management 90<br />

5 Workforce focus 85<br />

6 Process management 85<br />

7 Results (Performance outcomes) 450


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Total points 1,000<br />

Source: US Department of Commerce National Institute of Standards and Technology<br />

In a free market economy, achieving the highest performance and thereby the organization‟s<br />

goals is the ultimate responsibility of management. Performance needs to be managed to ensure<br />

that the organization is meeting its vision and goals. The Malcolm Baldridge healthcare criteria<br />

provide a system perspective for healthcare organization to achieve the organizational<br />

performance excellence. The system criteria which include leadership, strategic planning,<br />

customer focus, measurement, analysis, and knowledge management, workforce focus, process<br />

management, and results. Quality awards schemes have been increasingly promoted by<br />

Governments, public, and private organization with intention of promoting and motivating<br />

quality management practices. In reviewing the literature, MBNQA elements are useful in<br />

evaluating the healthcare organizational performance. As stated above using a MBNQA elements<br />

to manage performance has the advantage of improving organizational performance by<br />

measuring what matters to the organization, increase focus on strategy and results, improve<br />

communication and monitor organization‟s performance against future strategic goals. This<br />

study develops an evaluation framework based on the MBNQA criteria and creates a system<br />

approach to measure the performance of healthcare organizations.<br />

DATA COLLECTION PROCEDURE<br />

In order to achieve the objectives of the study, the hospitals affiliated to medical colleges of<br />

southern India were considered as the population of this study. The population consisted of 76<br />

medical college hospitals (healthcare organizations) and the sample survey was derived from the<br />

database of healthcare organizations prepared based on official report of Medical Council of<br />

India in 2009, and it was found majority of medical colleges hospitals(38 %) were concentrated<br />

in southern India. One of the healthcare organizations was selected for the unit analysis to obtain<br />

an overall glimpse of administration, operations, standards and practices as it is uniform under<br />

the Medical Council of India. To obtain clear representation of samples from southern India,<br />

healthcare organizations of Karnataka, Kerala, Andhra Pradesh and Tamil Nadu were<br />

purposively selected based on inclusion and exclusion criteria for this study. The study was<br />

designed with cooperation from 12 healthcare organizations. Among the 12 participating<br />

healthcare organizations, 7 were private (58.33 %), 2 were public (16.66 %), and 3 were<br />

charitable (25 %) based on their ownership.<br />

Inclusion criteria includes large healthcare organization more than 500 beds, quality certified,<br />

multi-specialty, minimum five years of existence, emergency department, should have a<br />

divisional / state representation. Exclusion criteria includes small healthcare organization less<br />

than 500 beds, single specialty, super specialty, and less than five years of existence.<br />

Purposive sampling technique was used taking into consideration the respondent‟s availability,<br />

willingness to share information and location of healthcare organizations. The purposive<br />

sampling technique considered 130 administrative executives in which 76 departmental heads,


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MBNQA Points<br />

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38 administrative staff, 13 nursing superintendents, and 3 medical superintendents. The survey<br />

questionnaire consist of 119 statements on Likert scale, ranging from 1 = strongly disagree, 2 =<br />

disagree, 3 = neither agree nor disagree, 4 = agree, 5 = strongly agree. Out of 250<br />

questionnaires, 130 were obtained in complete with a response rate of 52 percent. The validity<br />

of the instrument was obtained by experts and piloted for a small group of respondents and<br />

reliability by cronbach's alpha. The analysis was done using SPSS package.<br />

RESULTS AND DISCUSSION<br />

The MBNQA criteria assessed the performance excellence in healthcare organizations. MBNQA<br />

criteria consists total of 119 statements on likert scale for assessing quality performance were<br />

ranging from 1 = strongly disagree, 2 = disagree, 3 = neither agree nor disagree, 4 = agree, 5 =<br />

strongly agree. Respondent‟s ratings were averaged for each criteria of MBNQA. The average<br />

rating was converted into MBNQA points with reference to its maximum points. Total MBNQA<br />

points indicated the performance level of the healthcare organizations.<br />

1000<br />

900<br />

800<br />

700<br />

600<br />

500<br />

400<br />

300<br />

200<br />

100<br />

0<br />

648.41 647.18<br />

664.80<br />

634.51<br />

648.55<br />

588.20<br />

610.78<br />

597.54<br />

551.58 540.52<br />

477.97<br />

442.02<br />

HCO1 HCO2 HCO3 HCO4 HCO5 HCO6 HCO7 HCO8 HCO9 HCO10 HCO11 HCO12<br />

Healthcare organisations<br />

FIGURE 2: TOTAL MBNQA POINTS OF PARTICIPATING HEALTHCARE<br />

ORGANISATION


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PERFORMANCE EVALUATION<br />

Figure 2 represents performance excellence levels in Healthcare organizations. There were a<br />

significant number of healthcare organizations that had a silver line(less than 750 MBNQA<br />

points) performance based on MBNQA points (83.33%). Of the twelve healthcare organizations,<br />

HCO5 had highest (664.8 points) MBNQA points and HCO6 had the lowest (442 points). Total<br />

MBNQA points of the healthcare organizations strongly imply the need of adopting the MBNQA<br />

strategic determinants to improve their performance.<br />

STRATEGIC DETERMINANTS ANALYSIS OF MBNQA MODEL<br />

The Strategic determinants analysis of MBNQA, „Leadership‟ weighted highest (82.18/120) for<br />

HCO 2, lowest (60.29/120) for HCO6; „Strategic planning‟ weighted highest (59.02/85) for<br />

HCO1, lowest (24.48/85) for HCO6; „Customer focus‟ weighted highest (59.30/85) for HCO1,<br />

lowest (45.70/85) for HCO6; „Measurement, analysis, and knowledge management‟ weighted<br />

highest (62.64/90) for HCO1, lowest (40.61/90) for HCO6; „Workforce focus‟ weighted highest<br />

(59.98/85) for HCO1, lowest (34.14/85) for HCO6; „Process management‟ weighted highest<br />

(59.57/85) for HCO1, lowest (33.<strong>05</strong>/85) for HCO6; and „Results‟ weighted highest (307.44/450)<br />

for HCO5, lowest (197.28/450) for HCO4 (Table 2).<br />

TABLE 2: STRATEGIC DETERMINANTS ANALYSIS ANALYSIS OF MBNQA<br />

MODEL<br />

HCOs L SP CF MAK WF PM PO<br />

HCO1 80.06 59.02 59.30 62.64 59.98 59.57 267.84<br />

HCO2 82.18 57.66 58.21 61.20 56.58 58.48 272.88<br />

HCO3 74.11 45.83 52.63 54.29 50.32 51.82 259.20<br />

HCO4 70.85 31.82 50.18 48.82 41.62 37.40 197.28<br />

HCO5 81.41 52.77 56.85 58.90 50.86 56.58 307.44<br />

HCO6 60.29 24.48 45.70 40.61 34.14 33.<strong>05</strong> 203.76<br />

HCO7 72.19 42.30 50.73 52.99 45.42 47.46 240.48<br />

HCO8 68.93 38.22 53.86 53.57 47.06 47.06 231.84<br />

HCO9 74.69 53.04 54.94 57.02 53.31 52.09 265.68<br />

HCO10 76.80 55.49 54.26 57.60 53.86 54.26 282.24


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HCO11 74.50 52.90 53.58 57.74 54.26 53.99 250.56<br />

HCO12 79.30 54.94 56.44 59.62 55.49 55.49 287.28<br />

NOTE:<br />

Maximum points MBNQA determinants:<br />

1. Leadership (L) = 120, Strategic planning (SP) = 85, Customer focus (CF) = 85,<br />

Measurement, analysis, and knowledge management (MAK) = 90, Workforce focus (WF) =<br />

85, Process management (PM) = 85, and Results/performance outcomes (PO) = 450.<br />

2. HCO1-HCO12= Code of Participating Healthcare organizations<br />

RECOMMENDATIONS AND CONCLUSIONS<br />

The application of the Malcolm Baldrige Model Criteria ensures the corporate performance<br />

excellence profile of case healthcare organizations. The corporate performance excellence<br />

enables the healthcare organization to assess its organizational performance objectively against a<br />

number of <strong>international</strong>ly recognized criteria, identify the strengths of the organization, single<br />

out areas for improvement and set improvement plans in action. There were a significant number<br />

of healthcare organizations that had a silver line performance based on MBNQA points. The<br />

findings of the study showed that MBNQA strategic determinants are not only indicators of<br />

quality management but also directly affect the performance of healthcare organizations. The<br />

results of the study provide potential benefits to quality management and performance in<br />

healthcare organizations. This study could be considered as a baseline to determining the current<br />

organizational performance excellence levels of the healthcare organizations. In the light of the<br />

results of this study, it is recommended that follow-up studies should be conducted to establish<br />

tables of comparison and changes in the performance excellence levels. Studies to examine the<br />

qualitative and quantitative nature of the strategic determinants for assessing performance<br />

excellence introduced in this study must be encouraged. Evidence of effectiveness of the<br />

application and excellence models in healthcare organization is still lacking. There scope the<br />

extensions this research work considering “contextual factors” in addition to the strategic<br />

determinants used in MBNQA framework.<br />

REFERENCES<br />

Armstrong, M., and Baron, A. 2004. Managing performance: performance management in<br />

action. London: Chartered Institute of Personnel and Development.<br />

Barclay, C.A., 1993.Quality strategies and TQM policies: empirical evidence. Management<br />

International Review, 33, 87-98.


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Beer, M. 2003. Why total quality management programs do not persist: the role of management<br />

quality and implications for leading a TQM transformation. Decision Science. 2003, 34, b 623-<br />

642.<br />

Brown, M.G. 1996. Keeping Score: Using the Right Metrics to Drive World-Class Performance.<br />

Quality Resources, New York, NY.<br />

Dabholkar, P.A.1996.Consumer evaluation of new technology-based service operations: an<br />

investigation of alternative models. International <strong>journal</strong> of research in marketing 13/1:29-51.<br />

Deming W.E. 1986.Out of crises. Cambridge, MA: MIT Press.<br />

Denton and Campbell 1999. Strategic repositioning: The fundamentals.Goodwood.NBD<br />

Fitzgerald, L., Johnston, R., Brignall, T.J., Silvestro, R. and Voss, C. 1991.Performance<br />

Measurement in Service Businesses. The Chartered Institute of Management Accountants,<br />

London.<br />

Gryna, F.M. 1991. The quality director of the '90s. Quality Program 24, 51-54.<br />

Juran, J.M., 1993. Why quality initiatives fail. Journal of Business management. 14, 35-38.<br />

Kanulf, E. B., Berger, R.A. and Gray, S.T.1991. Profile of excellence: Achieving success in the<br />

non-profit sector. San Francisco: Jesssy -Bass Publishers.<br />

Lingle, J.H. and Schiemann, W.A. 1996. Balanced Score Card to strategy gauge: is measurement<br />

worth it. Management Review, March: 56-62.<br />

Maisel, L.S. 1992. Performance measurement: the Balanced Score Card approach. Journal of<br />

Cost Management, 5/2:47-52.<br />

Marquardt 1999. Global advantage- How world class organizations improve performance<br />

through globalization. Houston: Gulf Publications.<br />

Mcnamara, C.1997.PerformanceManagementBasicConcepts.<br />

Availableat ttp://www.managementhelp.org/perf_mng/perf_mng.htm.<br />

Micro Soft Corporation. 2008. Map Point in the Healthcare Industry: Today's Challenges in the<br />

Healthcare Industry.<br />

Available at www.microsoft.com/mappoint/industries/healthcare/hea_challenges.mspx<br />

Moullin, M. 2002. Delivering Excellence in Health and Social Care. Open University Press,<br />

Buckingham.


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Moullin, M. 2004.Evaluating a health service taskforce. International Journal of Health Care<br />

Quality Assurance, (17/5).<br />

Moullin, M. 20<strong>05</strong>. Defining PM – should the definition include stakeholders. Perspectives on<br />

Performance,( 4 /3) :17.<br />

Neale, J. M. and Liebert, R.M.1986. Science and Behaviuor. An Introduction to methods of<br />

research, 3rd ed. New Jersey: Prentice -Hall International, Inc.<br />

Neely, A., Gregory, M. and Platts, K. 1995. Performance measurement system design: a<br />

literature review and research agenda', International Journal of Operations & Productions<br />

Management,(15 /4):80-116.<br />

Ovretveit, J. 2000.Total quality management in European healthcare. International Journal of<br />

Health Care Quality Assurance, (13/2):74-79.<br />

Pescott, B.D.1988. Creating a world - class organization: Ten performance measures of business<br />

success. London: Kogan page.<br />

Rhinesmith S.H1996. A manager's guide to globalizations. Six skills for success in a changing<br />

world.ASTD: McGraw-Hill.<br />

Robson M.1988. The Journey to excellence. Wantage: M.R.A. International Ltd.<br />

Samson,D. and Challis,D. 1999. Patterns of Excellence: The new principles of corporate success.<br />

London: Biddles Ltd., Guildford and King's Lynn.<br />

Schonberger, R.J. and Knod, E.M. 1997 Operations Management, 6th ed., Irwin: Chicago, IL<br />

Steeples, M.M., 1992. The Corporate Guide to the Malcolm Baldrige National Quality Award:<br />

Proven Strategies for Building Quality into Your Organization. Business One Irwin, Homewood,<br />

IL.<br />

Suresh Chandar G.S., Chandrasekharan R., and R.N.Anantharaman. 20<strong>01</strong>. A conceptual model<br />

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CUSTOMER SERVICE AND BRAND IMAGE: A RETROSPECTIVE<br />

VIEW OF PRIVATE BANKS IN INDIA<br />

ABSTRACT<br />

MS. CHHAVI DAGAR*; DR. PARUL KHANNA**<br />

*Research Scholar, Singhania University,<br />

Rajasthan.<br />

**MBA, Ph.D., Life Member NHRD & ICA, Dean R & D,<br />

IMT, Faridabad.<br />

Customer service is the life of any business and when customers are not happy, the life of any<br />

business is threatened. The way a customer is treated goes a long way in projecting brand image.<br />

Banking industry also is no exception to it. The financial services industry heavily depends on<br />

high-quality customer service, as customers need to feel secure that their money is in the right<br />

hands. This paper tries to project the importance of customer service, its impact on customer<br />

satisfaction. This is a descriptive paper and author has used secondary sources to collect<br />

information. Also an attempt has been made to identify some customer service strategies of<br />

banks and its effect on the overall brand image of banks.<br />

KEYWORDS: Customer Service, Customer Satisfaction, CRM, Data Mining.<br />

INTRODUCTION<br />

Several companies across the globe consider customer care/service as an important component of<br />

their business model. However, Rushton et al (2006) state that not all of these companies<br />

understand the meaning of customer service. These companies focus on assumptions of what<br />

customers want on a broad scale, rather than acknowledging their real needs and perceptions.<br />

CUSTOMER SERVICE<br />

Ian Roberts (20<strong>01</strong>), “Customer service in<strong>vol</strong>ves putting the customers and their needs at the heart<br />

of an organisation’s policies and methods. It can be seen as the front-of-house delivery of<br />

marketing. It is the business of ensuring that the customers get exactly what they want”.<br />

According to Roberts, it consists of two most crucial elements:<br />

Staff/employees and their behavior and attitude towards the customer<br />

Design of facilities and systems to help the customer.<br />

The importance of customer service too differs as regards industry and company. For instance,<br />

most retail stores have a separate desk handling customer <strong>issue</strong>s like returns, complaints or<br />

exchanges; whereas in the banking industry, phone banking and internet banking have taken the


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customer service department by a storm. Customer service delivered through the internet is a<br />

type of self-service. It is important for companies to deliver the best possible service at<br />

sustainable rates. This is because if the customer is not satisfied with the company, they will<br />

switch to a rival in no time. Much of a company’s revenues depend on repeated sales, hence it is<br />

vital to keep them satisfied. In this part, customer satisfaction plays a crucial role.<br />

CUSTOMER SATISFACTION<br />

Customer Satisfaction, a term often used in the marketing context, is a measure of how well a<br />

product or service offered by an organisation has met or surpassed customer expectations. It is<br />

the primary indicator of the performance of the product in the market, and is also a component of<br />

the Balanced Scorecard. In the advent of increasing competition in the marketplace, customer<br />

satisfaction has become the key differentiator and an essential element of any business strategy.<br />

Companies are increasingly looking up to customer satisfaction, fuelled by increasing<br />

competition and shrinking markets. More and more importance is being given to customer<br />

satisfaction as a means of retaining customers for a longer period, rather than simply investing<br />

capital in finding new customers. The main factor driving the growth for customer satisfaction<br />

and retention is the belief that it costs organisations five to eight times as much to gain new<br />

customers than to retain old ones.<br />

Measurement of customer satisfaction is the key to not only survive, but also grow in the market.<br />

It is only through customer satisfaction are organisations coming to understand the mindset of<br />

consumers and frame better strategy to attract them.<br />

IMPORTANCE OF CUSTOMER SERVICES<br />

Banking sectors also emphasis on providing the best customer services as they face a lot of<br />

competition and always need to provide the best solutions in order to retain their customers. If<br />

the customer gets a bad service experience then that would result into the low balances of the<br />

banks. Hence the banks always try to provide the best of services and mostly attract the<br />

customer through their Fast, deliberate and sincere services, thereby gaining the trust and overall<br />

satisfaction of the customer. Retail Banks have started taking innovative customer service<br />

approach. At times the banks when introduce new products fail as they fail to put the customer’s<br />

first and focus on them. A lot banks have the tendency to maintain the customer service feedback<br />

and other data and save it as well. Now the banks use such data in order to learn from their<br />

mistakes, meet the customer needs and wants that they could not do before and to come up with<br />

some new insights from the already existing data of their customers. A lot of banks have grown<br />

and succeed because they tried to look at the things from the customer’s point of view in order to<br />

solve the problems. Bad customer service creates perception problems for the brand in question<br />

because word of mouth goes a long way in either building or destroying a brand. Good customer<br />

service is all about bringing customers in and about sending them away happy - happy enough to<br />

pass positive feedback about your business along to others, who may then try the product or<br />

service you offer for themselves and in their turn become repeat customers.


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ROLE OF CUSTOMER SERVICE EXECUTIVES IN CUSTOMER SATISFACTION<br />

Customer service personnel are important in developing a long-term bond with the customers.<br />

Service situations with the customer have many a times been found to be an important<br />

determinant of customer satisfaction (Surprenant and Soloman, 1987). Such a person also<br />

epitomizes the service delivered to the customer (Lewis and Entwistle, 1990; Booms and<br />

Nyquist, 1981).<br />

IMPACT OF CUSTOMER SERVICE ON CUSTOMER SATISFACTION<br />

It can be understood that the customer services is the “input” that the companies implement and<br />

customer satisfaction is the expected “output”. Hence if the customer services are implemented<br />

properly then the customer satisfaction would be higher and at times maximum, but if the<br />

customer services are not up to the mark then the customer satisfaction would be less and at<br />

times negligent.<br />

Customer feedback is very important as the entire company or people who are in<strong>vol</strong>ved in the<br />

process of providing a better product or service gets chance to understand the end user/customer<br />

in a direct and indirect manner.<br />

IMPACT OF MARKETING STRATEGIES ON CONSUMER BEHAVIOR<br />

Marketing strategies affect the daily lives of the consumer significantly: they act as the source of<br />

information for new products/ services available in the market, influence the way they think and<br />

perceive their beliefs, thoughts and attitudes and lastly, their buying decisions. Promotional<br />

activities are mostly successful in changing negative approaches to positive. For instance, if a<br />

consumer is loyal to a particular brand, advertisements may change their frequency of purchase.


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Outcomes<br />

Individual<br />

Firm<br />

Society<br />

Consumer Decision Process<br />

Problem recognition<br />

Information search<br />

Alternative evaluation<br />

Purchase<br />

Use<br />

Marketing Strategy<br />

Evaluation<br />

Product, Price, Distribution,<br />

Promotion, Service<br />

Market Segmentation<br />

Identify product-related need<br />

sets<br />

Group customers with similar<br />

need sets<br />

Describe each group<br />

Select attractive segments to<br />

target<br />

Marketing Analysis<br />

Use<br />

Company<br />

Evaluation<br />

Competitors<br />

Conditions<br />

FIGURE 1: MARKETING STRATEGY & ITS IMPACT ON CONSUMER BEHAVIOR<br />

Consumers<br />

(SOURCE: HAWKINS (2006); “CONSUMER BEHAVIOR”)


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IMPACT OF CUSTOMER SERVICE ON BRAND LOYALTY<br />

Brand Loyalty is moreover understood as repurchasing a particular brand. A customer<br />

repurchases the brand when he perceives the product to be the appropriate for him and trusts it.<br />

Customer service also helps in forming the brand loyalty among the consumers. If a Customer is<br />

happy with the services and satisfied then he would like to buy that or brand again and again. It<br />

also helps to reduce the brand switching and enhances retaining.<br />

Brand loyalty helps the companies to uphold a lasting position in the competitive world. Brand<br />

loyalty is also considered to be a deliberate asset of a company. To create Brand loyalty<br />

companies try to break the existing habit of the consumer, instigate new habits through<br />

advertising, promotions etc. and form new habits in order to make the new brand more<br />

acceptable and then creating the loyalty towards their brands. Providing best customer services is<br />

one such way of creating brand loyalty.<br />

CUSTOMER SERVICE STRATEGIES OF BANKS<br />

There are various instruments through which banks help customers directly and indirectly by<br />

providing their services. They are as follows:<br />

a) ONLINE BANKING/ INTERNET BANKING: Helps customers to execute the<br />

financial transactions through their website which is functioned by the retail or virtual<br />

bank, credit union as well as building society. Some online banking services provide the<br />

account aggregation which allows customers to observe and monitor all of their financial<br />

records, accounts etc. in one place.<br />

b) MOBILE BANKING: It is also termed as M-Banking, m-banking and SMS Banking<br />

Such services are meant for performing various financial transactions through mobile<br />

phones. The medium of mobile banking are SMS as well the Mobile Internet. Easy<br />

Accessibility and security lure people to mobile banking.<br />

c) AUTOMATED TELLER MACHINES (ATM): It is also termed as ABM i.e.<br />

Automated Banking Machine, Cash machine as well as Cash Point. ATM helps<br />

customers to access their bank accounts for various purposes like making cash<br />

withdrawal, credit card cash advances, as well as check the account balance. Most of the<br />

banks in India have ATM services that provide customers with best and quick withdrawal<br />

and other benefits. There were times when customers had to stand in line and make<br />

applications for getting a cheque book or similar other needs. With the help of ATM’s it<br />

is just a click away.<br />

d) PHONE BANKING: Most of the people do not have adequate time to go to the bank<br />

and deal with the banking transactions. Phone banking provides customer to perform<br />

their financial transactions through telephone. For security reasons, customers are first<br />

authenticated over a numeric or verbal password as well as security questions asked by<br />

the bank representative. Along with the provision of cash withdrawals as well as deposits,


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phone banking offers almost all the features of an ATM like the account or balance<br />

information also a list of latest transactions, electronic bill payments, funds transfers etc.<br />

e) MOBILE VAN/BANKING MOBILE ATMs: Mobile vans also called as banking<br />

mobile ATM is a movable banking service executed and initiated by some of the banks as<br />

a pilot project which would help to extend the banking services and offerings in the rural<br />

areas. These services help to enhance trust and are also meant to be perceived as<br />

postman-like regular coverage of a few locations.<br />

f) BUSINESS CORRESPONDENTS: They are the retail agents affianced by banks to<br />

provide banking services at various different locations apart from a bank branch or an<br />

ATM.<br />

There are number of ways to attract customers like use of promotional gifts and attractive shortterm<br />

interest rates. Once a customer comes to a bank good customer service can ensure brand<br />

loyalty for a long term relationship.<br />

Banks must also keep in mind the factors considered by customers while selecting a bank like:<br />

Convenience of location, Online resources for example online banking sites to find if they're<br />

user-friendly and offer a wide range of services, Products and services, Cost of services and<br />

Overall satisfaction of a customer with its services.<br />

DATA MINING IN CRM OF INDIAN BANKING INDUSTRY FOR BETTER<br />

CUSTOMER SATISFACTION AND BRAND IMAGE<br />

Data Mining is the process of extracting previously known information, typically in the form of<br />

patterns and associations, from large databases (Bhasin, 2006). It allows the extraction of the<br />

most crucial information from the historical data to predict a future outcome. Bhasin (2006)<br />

asserts that it helps optimize business and strategic decisions, increase the value of every<br />

customer and effectively enhance customer satisfaction. It helps organisations gain a competitive<br />

edge over its competitors.<br />

Data mining has in the banking industry become a very important tool for decision making<br />

process of the management. Kaptan (2003) states that with the help of data mining technologies,<br />

banks have not only been able to retain old customers; but also acquire new ones. Muralidharan<br />

(2009) uses two terms to explain that data mining in CRM can help banks improve customer<br />

satisfaction:<br />

- Data warehousing: It helps in providing better transaction experiences for customers over<br />

different transaction channels, by bringing all the transactions from different channels<br />

come under one roof<br />

- Data mining: It helps banks analyse and measure customer transaction patterns and<br />

behavior. Helps in improving customer service quality and exploring new business<br />

arenas.


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Data mining in banks can be used for the following purposes:<br />

- Card marketing: By classification and identification of customer segments, banks issuing<br />

cards and similar products can enhance profitability through targeted product<br />

development, accurate acquisition and retention strategies and customized pricing<br />

- Cardholder Pricing/Profitability: Data mining technology can be used by banks to price<br />

their products and services in a way that profits are maximized and loss of customers are<br />

minimized. This also comprises of risk-based pricing<br />

- Fraud Detection: This is extremely expensive. Banks can synchronies past transaction<br />

data that turned out to be fraudulent to identify future patterns<br />

- Life-Cycle Management: Data mining helps banks predict every customer’s LFV (Life<br />

time value) and to give every class of customer dignified, customized service (example,<br />

offering discounts and special deals to regular customers).<br />

CUSTOMER SERVICE STRATEGIES OF BANKS<br />

There are various instruments through which banks help customers directly and indirectly by<br />

providing their services. They are as follows:<br />

g) ONLINE BANKING/ INTERNET BANKING: Helps customers to execute the<br />

financial transactions through their website which is functioned by the retail or virtual<br />

bank, credit union as well as building society. Some online banking services provide the<br />

account aggregation which allows customers to observe and monitor all of their financial<br />

records, accounts etc. in one place.<br />

h) MOBILE BANKING: It is also termed as M-Banking, m-banking and SMS Banking<br />

Such services are meant for performing various financial transactions through mobile<br />

phones. The medium of mobile banking are SMS as well the Mobile Internet. Easy<br />

Accessibility and security lure people to mobile banking<br />

i) AUTOMATED TELLER MACHINES (ATM): It is also termed as ABM i.e.<br />

Automated Banking Machine, Cash machine as well as Cash Point. ATM helps<br />

customers to access their bank accounts for various purposes like making cash<br />

withdrawal, credit card cash advances, as well as check the account balance. Most of the<br />

banks in India have ATM services that provide customers with best and quick withdrawal<br />

and other benefits. There were times when customers had to stand in line and make<br />

applications for getting a cheque book or similar other needs. With the help of ATM’s it<br />

is just a click away.<br />

j) PHONE BANKING: Most of the people do not have adequate time to go to the bank<br />

and deal with the banking transactions. Phone banking provides customer to perform<br />

their financial transactions through telephone. For security reasons, customers are first<br />

authenticated over a numeric or verbal password as well as security questions asked by


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the bank representative. Along with the provision of cash withdrawals as well as deposits,<br />

phone banking offers almost all the features of an ATM like the account or balance<br />

information also a list of latest transactions, electronic bill payments, funds transfers etc.<br />

k) MOBILE VAN/BANKING MOBILE ATMs: Mobile vans also called as banking<br />

mobile ATM is a movable banking service executed and initiated by some of the banks as<br />

a pilot project which would help to extend the banking services and offerings in the rural<br />

areas. These services help to enhance trust and are also meant to be perceived as<br />

postman-like regular coverage of a few locations.<br />

l) BUSINESS CORRESPONDENTS: They are the retail agents affianced by banks to<br />

provide banking services at various different locations apart from a bank branch or an<br />

ATM.<br />

It is also very important to gain feedback from customers in respect of customer service. This<br />

helps the brand to succeed and retain a strong pedigree. Effective listening helps in knowing and<br />

identifying the needs of the customers. When customers are listened to, it creates an atmosphere<br />

of trust and ultimately, builds loyalty for the brand. This is also important as customers feel<br />

important and appreciated.<br />

EFFECT OF CUSTOMER SERVICES ON BRAND IMAGE WITH SPECIAL<br />

REFERENCE TO BANKING INDUSTRY<br />

A bank's image is based upon a customer's unique experience. And the customer experience, in<br />

turn, drives his or her recommendations: both positive and negative. So, a bank literally lives or<br />

dies based upon how well it treats customers.<br />

There are various factors that contribute to the higher customer retention ratio and higher level of<br />

customer satisfaction based on the services and offerings of the banks for the potential and<br />

existing customers. Some of the factors are listed below.<br />

a) SAFETY: Most of the customers opt to keep their money matters in the safe hands of<br />

banks. Major reason after banking being so important in India and around the world is<br />

perception of banks being a safety and a good investing solution.<br />

b) CONVENIENCE: Lot of customers doesn’t have enough time to take care of the day to<br />

day banking transactions. Hence with the avail of various banking options that are very<br />

easy to use and customers don’t really need to go to bank, it helps them not only to save<br />

the time but is just a click away and call away. The mobile banking or internet banking<br />

services as well as personal representative help who himself goes to meet the customer<br />

and helps them deal with the regular banking transactions, are highly recognized and<br />

accepted by the wide segment of customers.<br />

c) TRUST: When money matters are in<strong>vol</strong>ved, customers need to get a sense of trust to<br />

handle their money in the safe hands. Most of the banks today try to tab the customers by<br />

winning their trust and making them feel that the money they have invested or deposited


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is in safe hands. When taking decisions, a reputed bank with a better and strong image is<br />

always opt by the customers.<br />

d) BENEFITS AND ADVANTAGES: When the customers deposit their money as well<br />

invest their money with the banks they always expect to get some real good return. A lot<br />

of banks provide various luring offers to win the customers and maintain a long lasting<br />

relation with them. Besides when the customer is really happy with the services provided<br />

to him, he may also refer it to some of the other people he may know. Hence banks also<br />

win customers through word of mouth. Providing customer services is an ongoing<br />

process. It is much more different from selling a product once.<br />

e) CONFIDENCE IN BANKING SYSTEM: It becomes very essential for banks to<br />

provide their best services in the process of financial matters and transactions and gain<br />

utmost confidence. For banks to be able to perform their key role in this process of<br />

financial intermediation, it is obvious that customers must have the utmost confidence in<br />

the banking system. Banks and financial institutions play a vital role in the country's<br />

economic growth.<br />

f) EXPERIENCE: When customers are provided with the best of services by the banks<br />

they are bound to get the satisfaction. Smooth functioning of transactions, easy<br />

availability of financial resources, feedback systems, time saving procedures, better<br />

responding system, good infrastructure, displaying information for different departments<br />

and even a welcoming gesture are some of the key aspects of a good experience at banks.<br />

Hence when the customers get a better experience and satisfaction he would like to opt<br />

for the same bank and its services on a regular basis.<br />

g) RISK: Banks are perceived as most reliable and trustworthy institutions when money<br />

matters are concerned. People consider it more appropriate to hand their money in the<br />

hands of banks and transfer the risk to them. Besides it is perceived that keeping money<br />

with them (self) may in<strong>vol</strong>ve high risk. A less risk also results into more safety. Various<br />

banks also undertake risk mitigation processes.<br />

h) VALUE: Banks value the money of their customers. With the help of various banking<br />

facilities and financial offers the value of customer’s money is not only secured but<br />

increases with time. Hence the banks which provide better customer and financial<br />

solutions have a positive image in the minds of a consumer.<br />

i) BETTER INFRASTRUCTURE: Banks provide easy access of financial transactions<br />

i.e. anywhere and anytime processing of transactions which makes the task of financial<br />

transaction easier for the customers. Also better infrastructure makes the entire banking<br />

process more smooth and comfortable as compared to the previous years when customers<br />

had to wait in lines for long time. A better infrastructure also helps in a contented<br />

information exchange between the customers and the bank employees.


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j) SECURITY: Banks enhances a secure access to customer history and transactions with<br />

higher security and confidentiality. Also the customer can access the previous financial<br />

transactions whenever he wishes. Banks keep the past records in a more secure way.<br />

k) TECHNOLOGY: Banks provide customers with better technology and expertise in<br />

order to create higher customer satisfaction. Sometimes even the self-service technology<br />

is a unique way to attract customers. The below table states the important functions of<br />

self-service technology.<br />

FIGURE 2: FUNCTION ON SELF SERVICE TECHNOLOGY (SOURCE: MEUTER, M.<br />

L., OSTROM, A. L., ROUNDTREE, R. I., & BITNER, M. J. (2000) “SELF-SERVICE<br />

TECHNOLOGIES: UNDERSTANDING CUSTOMER SATISFACTION WITH<br />

TECHNOLOGY-BASED SERVICE ENCOUNTERS”. JOURNAL OFMARKETING,<br />

64(3), 50-64)<br />

CONCLUSION<br />

Providing exceptional customer service is essential to maintaining long-term customer<br />

relationships and a positive brand image. The first step to good customer service is to know the<br />

customer. When you know the customer, you build a relationship and the customer becomes a<br />

fan of the brand. There should be a Customer Value Proposition for any service, product or


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brand. There should be a database that provides useful information about your customers,<br />

wedding anniversaries, and birthdays among others. Building relationship with customers will<br />

sustain brand loyalty.<br />

REFERENCE<br />

Customer satisfaction: tools, techniques, and formulas for success By Craig Cochran,<br />

2003<br />

Turban, Efraim (2002). Electronic Commerce: A Managerial Perspective. Prentice Hall<br />

Marketing Communications By Ludi Koekemoer, Steve Bird, 2004<br />

Nation branding: concepts, <strong>issue</strong>s, practice By Keith Dinnie, 2008<br />

Customer – Driven Marketing strategy and integrated marketing Mix By Kotler<br />

Self service banking: value creation models and information exchange. By Ragnvald<br />

Sannes (20<strong>01</strong>)<br />

Customer service: Meaning and Measurement” Published by National Council of<br />

Physical Distribution Management. By Bernard J. Lalonde and Paul H. Zinszer (1976)<br />

The Situational Impact of Brand Image Beliefs, Journal of Consumer Psycholagy, By<br />

Rajeev Batra.<br />

Brand management: research, theory and practice by Tilde Heding, Charlotte F.<br />

Knudtzen, Mogens Bjerre, 2009<br />

Marketing Communications By Ludi Koekemoer, Steve Bird, 2004.


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A STUDY OF TV VIEWERSHIP PATTERNS AMONG YOUNGSTERS IN<br />

NORTHERN INDIA<br />

ABSTRACT<br />

ER. KANWAL GURLEEN*; DR. SUKHMANI**<br />

*Assistant Professor, Apeejay Institute of Management,<br />

Jalandhar.<br />

**Assistant Professor, Apeejay Institute of Management,<br />

Jalandhar.<br />

Today, television is considered to be a major source of entertainment and leaning for many,<br />

especially the young. All television programs, especially the commercials, news, documentaries<br />

and cartoons, affect people of all ages in different ways. Youngsters constitute one of the groups<br />

in society who spend a lot of time watching television. In recent years, youngsters are even<br />

named as “active media users”. The study was conducted to make note of various televisionviewing<br />

habits among youngsters of Northern India and to identify the factors, which encourage<br />

television viewership among youngsters. A Sample of 750 respondents from 5 states of Northern<br />

India were selected for analysis. Factor Analytic approach was applied on 14 statements to find<br />

the reasons for television viewership. The study also highlighted the TV program preferences<br />

among youngsters.<br />

KEYWORDS: TV Viewing Habits, Progam preferences, Factor analytic approach, TV viewing<br />

patterns of young population of Northern India.<br />

INTRODUCTION<br />

Television has become one of the most important mass media tools especially in recent years.<br />

Dorr(1986) states that TV stands out from other media as it is generally used more and can<br />

present more life like content than most of other media. Television habits consist of patterns of<br />

behavior determined by the amount of time and importance individuals give to watching<br />

television broadcasts and recorded videos and DVDs. Ever since the 1ate 1940s when television<br />

first became available, social scientists have been interested in its effect on behavior. Originally<br />

seen as entertainment for adults and older children, television in the twenty-first century is<br />

watched by all age groups, including infants. Television has capability to provide substantial<br />

benefits for youngsters when it is used with awareness and for education purposes. However,<br />

generally speaking, television programs that include violence events increase youngster‟s level<br />

of aggression, and commercials shape consumption habits through younsgters. Exposure to<br />

scenes of violence matters negative role models on TV may increase direct, indirect, relational<br />

and social aggression in both girls and boys. Different changes were seen on TV-viewing habits<br />

of younsgters in recent years. It is observed that the duration of TV-viewing in general and the<br />

duration of watching TV alone have increased.


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REVIEW OF LITERATURE<br />

Most of the researches done on television viewing habits have taken children as sampling unit,<br />

but usefull inferences were taken and included in the present study. Valaskakis (1983) in his<br />

study examined television viewing tastes and habits among the Inuit Indians of the Eastern and<br />

Central Arctic. The findings revealed that the amount of different types of programming was<br />

significantly different among the Inuit Indians. Accordingly, the underlying assumption is that,<br />

the Inuit males who are heavily engaged in television's sports fare, would underestimate the<br />

mean world of television. Lowery and DeFleur (1988) showed in their research that children tend<br />

to watch more television than do adults, prefer to watch adult programs, and usually watch as<br />

late into the night as do adults. Despite their emergence from the more limited world of<br />

childhood and their increased reliance on peers, adolescents continue to spend a great deal of<br />

their time watching television. Sinichi Shimizu (1993) in her study found that MTV programmes<br />

are changing the entire music scene in Asia. Multinational rock music or world music is<br />

becoming the mainstream popular music among the youth in Asia, while the traditional style is<br />

becoming obscure and obsolete. Unnikrishnan and Bajpai (1996) found in their study that about<br />

48% upper class and 62% middle-class Indians watch Television for more than two hours per<br />

everyday. Fatima (2000) suggests through research that TV has a long-term effect on people‟s<br />

thinking. Therefore, instead of glamorization, portrayal of crime and commercialization, positive<br />

trends need to be introduced on the TV channels in order to save our values. Bukhari (2002)<br />

concludes that the youth is getting liberated ideas regarding the placement and position of<br />

women in the society. Giacomo Corneo (2002) found out in his research that in OECD<br />

countries watching television is by far the most time-consuming form of leisure.<br />

Surprisingly, television viewing is positively correlated with work hours across countries.<br />

Workers and capitalists are shown to exhibit opposite preference orderings over equilibria. The<br />

relative ability of those two groups in capturing a country's government may explain which<br />

equilibrium is selected. Verma and Larson (2002) in their study found that adolescents watch<br />

television for 12 hour per week on an average.The study further indicats that Television viewing<br />

is seen as a major source of stress relieving activity.It was conluded in the study that 29% of<br />

viewers watch television for purpose of learning/education. Ahluwalia and Singh (2<strong>01</strong>1) found in<br />

their study that on an average, children watch two hours or less of TV daily and most of them<br />

indulged in bedtime TV Viewing. They watched TV primarily for entertainment and for<br />

learning. Childrens‟ most preferred program was childrens‟ shows/serials, followed by<br />

cartoon/animated programs.<br />

RESEARCH OBJECTIVES<br />

The study has been conducted to identify the TV Viewing habits of Young Population of India.<br />

The specific objectives of the study are:<br />

To identify the frequency and time spent on watching television by Young population<br />

of India.<br />

To identify the various reasons for watching television programs.


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To gain an insight into the categories of programs being preferred by young<br />

population of India.<br />

DATA BASE AND METHODOLOGY<br />

This study has been conducted in Northern region of India, a sample of minimum respondents<br />

were selected from the different states which includes Punjab, Haryana, Himachal Pradesh,<br />

Jammu & Kashmir and Jharkhand. An effort had been made to select the respondents evenly.<br />

The survey was carried out on 800 respondents. However, 47 Questionnaires were found to be<br />

incorrect, so a total of 50 questionnaires were deliberately rejected. Hence the study sample was<br />

reduced to 750 respondents. The data was collected personally (and via emails) in the months of<br />

October 2<strong>01</strong>0 to April 2<strong>01</strong>1. The respondents were delibrately selected to maintain equal<br />

distribution in age and gender specifications. There were 375 males and 375 females whose<br />

responses were selected for analysis. Also an effort has been made for equal distribution in age<br />

groups, 250 respondents being selected for analysis in each of the 3 categories of 16-20, 21-25<br />

and 26-30 age groups. Most of the respondents were well educated, 68% of the total respondents<br />

were either graduates and post graduates, with only around 27% being undergraduates. Also<br />

around 60% of the respondents have their monthly income in the range of Rs.10,000 to<br />

Rs.30,000.<br />

For the purpose of research convenience sampling technique was used. The questionnaire<br />

comprised of a rank question, close-ended questions, a 5 point likert scale questions. The data<br />

collected through questionnaires was coded and tabulated keeping in context with the objective<br />

of the study. It was further suitably analyzed by calculating percentages, frequencies and Crosstabulation<br />

techniques.The data was analyzed using SPSS throughout the study.<br />

DATA ANALYSIS<br />

FREQUENCY OF WATCHING TELEVISON<br />

The youngsters were asked how often they watched television, the responses were collected on 4<br />

pointer scale of „Always‟, „Most often‟, „Sometimes‟, „Very rare‟ with weightages of 4,3,2 and 1<br />

respectively. It can be seen from Table 1 that most of the respondents watch television either<br />

„Most often‟(41.0%) or „Sometimes‟(33.3%) followed by „Always‟(17.2%) with the overall<br />

average score being 2.67 indicating „sometimes‟.<br />

Gender wise analysis in Table 1 indicates that there is no signficant difference in frequency of<br />

watching television between Males and Females, with almost equal mean average scores of<br />

around 2.67.This was also confirmed by t-value (0.16), which shows no significant difference<br />

among males and females with respect to mean values of watching Television.<br />

Age wise analysis in Table 1 indicates the similar trend of watching television across all the age<br />

groups.79% of the respondents in 16-20 age group watch television either „Most often‟ or<br />

„Sometimes‟, while this percentage is around 71% for 21-25 and 26-30 age groups. The F-ratio<br />

(0.28) also confirmed that average mean scores of frequency of watching television for different<br />

age groups do not differ significantly. The education wise analysis shows that most of „under


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graduates‟(52.9%) watch television „Most often‟ while most of the post graduates (45.4%)watch<br />

television „Some times‟. The F-ratio (0.31) shows that average mean scores of frequency of<br />

watching television for different education groups do not differ significantly. The income wise<br />

analysis has F-ratio of 1.21 which shows a significant difference of average mean scores of<br />

frequency of watching television for different income groups. It was seen that with different<br />

income groups the overall average mean scores varied between 3.<strong>01</strong> to 2.27.<br />

TABLE 1 : FREQUENCY OF WATCHING TELEVISION<br />

Respondents Always Most<br />

often<br />

Sometimes<br />

Very<br />

Rare<br />

Total<br />

Mean<br />

GENDER<br />

Male 71(18.9) 140(37.3) 134(35.7) 30(8.00) 375 2.67<br />

Female 58(15.4) 168(44.8) 116(30.9) 33(8.80) 375 2.66<br />

Overall 129(17.2) 308(41.0) 250(33.3) 63(8.40) 750 2.67<br />

t-value = 0.16<br />

(Not significant)<br />

AGE<br />

16-20 33(13.2) 92(36.8) 108(43.2) 17(6.80) 250 2.56<br />

21-25 58(23.2) 71(28.4) 109(43.6) 12(4.80) 250 2.70<br />

26-30 39(15.6) 145(58.0) 33(13.2) 33(13.2) 250 2.76<br />

Overall 129(17.3) 308(41.0) 250(33.3) 63(8.40) 750 2.67<br />

F-ratio = 0.28<br />

(Not significant)<br />

EDUCATION<br />

Under Graduate 25(12.1) 109(52.9) 38(18.4) 34(16.5) 206 2.60<br />

Graduate 45(15.9) 129(45.7) 99(35.1) 09(3.1) 282 2.74<br />

Post Graduate 54(23.3) 55(23.8) 1<strong>05</strong>(45.4) 17(7.3) 231 2.63


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Any other <strong>05</strong>(16.1) 15(48.3) 09(29.0) 02(6.4) 31 2.74<br />

Overall 129(17.2) 308(41.0) 250(33.4) 63(8.40) 750 2.67<br />

F-ratio = 0.31<br />

(Not significant)<br />

INCOME<br />

Under 10,000 08(17.3) 21(45.6) 13(28.2) 4(8.6) 46 2.71<br />

10,000-20,000 62(34.6) 75(41.8) 25(13.9) 17(9.4) 179 3.<strong>01</strong><br />

20,000-30,000 17(6.0) 138(49.4) 112(40.1) 12(4.3) 279 2.57<br />

Above 30,000 33(29.4) 41(36.6) 21(18.7) 17(15.1) 112 2.80<br />

Not Employed 09(6.7) 33(24.6) 79(58.9) 12(8.9) 134 2.27<br />

Overall 129(17.2) 308(41.0) 250(33.3) 63(8.40) 750 2.67<br />

F-ratio = 1.21*<br />

(at 1% significance level)<br />

NUMBER OF HOURS SPENT ON WATCHING TELEVISION<br />

Regarding the number of Hours spent on watching television, it was seen that most of the<br />

respondents (41.2%) watch 3-5 hours of television followed by those (32.9%) who watch 1-3<br />

hours of television. It can be seen from Table 2 that 38.6% of Males and 43.7% of Females<br />

watch 3-5 Hours of Television daily while only a small percent (15.4% of males and 8.8% of<br />

females) watch less than 1 Hour of television. It was seen that females spends more time in front<br />

of television as compared to males. The chi-square value of 9.27 at 5% significance level also<br />

reveals significance association between gender and duration of watching television. The chisquare<br />

test was only applied after clubbing the „less than 1 hour‟ category with „1-3 hour‟ and „3-<br />

5 hour‟ category with „more than 5 hour‟ category.<br />

The general pattern in case of age of youngsters is that as the age increases the younsgters watch<br />

less of television. As compared to 30.0% of 16-20 age group, only 3.2% and 8.0% of 21-25 and<br />

26-30 age groups respectively watch more than 5 hour of television. The chi-square value of<br />

14.61 at 1% significance level confirms that when youngsters get older they watch less of<br />

television. It was seen(Table 2) that as the education level increases the tendency to watch more<br />

television also increases. The chi-square value of 17.24 at 5% significance level also reveals that<br />

the more the education the higher will be the tendency to watch television. The income wise


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analysis shows that higher income respondents watch more television as compared to those who<br />

earn less, this is despite of the fact that higher income respondents generally have less time to<br />

watch television. As compared to 36.9% of „under Rs.10,000‟ respondents who watch less than 1<br />

hour of television, there were only 10.7% of such respondents in „above Rs.30,000‟ category.<br />

The chi-square value of 21.13 at 5% significance level confirms the above fact that higher<br />

income respondents watch more television as compared to less income respondents.<br />

TABLE 2 : HOURS OF TELEVISION VIEWING PER DAY<br />

Respondents Less than 1<br />

Hour<br />

GENDER<br />

1-3 Hour 3-5 Hour More than 5<br />

Hour<br />

Total<br />

Male 58(15.4) 135(36.0) 145(38.6) 37(9.8) 375<br />

Female 33(8.8) 112(29.8) 164(43.7) 66(17.6) 375<br />

Overall 91(12.1) 247(32.9) 309(41.2) 103(13.7) 750<br />

Chi Square = 9.27<br />

(at 5% significance level and clubbing first 2 and last 2 categories)<br />

AGE<br />

16-20 25(10.0) 96(38.4) 54(21.6) 75(30.0) 250<br />

21-25 33(13.2) 79(31.6) 130(52.0) 08(3.2) 250<br />

26-30 34(13.6) 71(28.4) 125(50.0) 20(8.0) 250<br />

Overall 91(12.1) 247(32.9) 309(41.2) 103(13.7) 750<br />

Chi Square = 14.61<br />

(at 1% significance level)<br />

EDUCATION<br />

Under Graduate 54(26.2) 88(42.7) 46(22.3) 18(8.7) 206<br />

Graduate 12(4.2) 112(39.7) 121(42.9) 37(13.1) 282<br />

Post Graduate 17(7.3) 33(14.2) 130(56.2) 51(22.0) 231


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Any other 07(22.5) 11(35.4) 11(35.4) 02(6.4) 31<br />

Overall 91(12.1) 247(32.9) 309(41.2) 103(13.7) 750<br />

Chi Square = 17.24<br />

(at 5% significance level)<br />

INCOME<br />

Under 10,000 17(36.9) 13(28.2) 16(34.7) 00(0.0) 46<br />

10,000-20,000 33(18.4) 71(39.6) 63(35.1) 12(6.7) 179<br />

20,000-30,000 29(10.3) 67(24.0) 137(49.1) 46(16.4) 279<br />

Above 30,000 12(10.7) <strong>05</strong>(4.4) 66(58.9) 29(25.8) 112<br />

Not employed 00(0.0) 92(68.6) 25(18.6) 17(12.6) 134<br />

Overall 91(12.1) 247(32.9) 309(41.2) 103(13.7) 750<br />

Chi Square =21.13<br />

(at 5 % significance level)<br />

REASONS FOR WATCHING TELEVISION<br />

The factor analysis was applied on the responses provided by respondents. Factor analysis is a<br />

good way of identifying latent or underlying factors from an array of seemingly important<br />

variables. In a more general way, factor analysis is a set of techniques, which, by analyzing<br />

correlations between variables, reduces their number into fewer factors, which explain much of<br />

the original data, more economically.(Malhotra,2002). In the present study, the factor analysis<br />

was applied in order to identify the various reasons for watching television by the youngsters,the<br />

responses obtain were put to factor analysis and the result so obtain were subject to Kaiser-<br />

Meyer- Olkin (KMO) measure of sampling adequacy and Bartlett‟s Test of Sphericity. The<br />

approximate chi-square value is 511.1<strong>01</strong> with df 270, which is significant at 0.000 level.(Table<br />

3).The value of KMO statistics (0.821) is also large (> 0.5). Hence, all factors are not considered<br />

equally important for Television viewing. An eigen value represents the amount of various<br />

associated with the factors. From table 4, it is evident that the first four variables represent the<br />

61.714 % of variance. Therefore, only these four factors with the variance greater than 1.0 are<br />

retained and the other factors are not included in the model. Thus, from eigen values in table 4,<br />

we extract only 4 factors from the 14 variables.


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TABLE 3 : KMO AND BARTLETT’S TEST<br />

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .821<br />

Bartlett's Test of Sphericity Approx. Chi-Square 511.1<strong>01</strong><br />

Degree of Freedom 270<br />

Significance .000<br />

TABLE 4: TOTAL VARIANCE EXPLAINED<br />

Initial Eigenvalues<br />

Extraction Sums of Squared<br />

Loadings<br />

Rotation Sums of Squared<br />

Loadings<br />

Total % of Cumulative<br />

Component Variance %<br />

Total<br />

% of Cumulative<br />

Variance %<br />

Total<br />

% of Cumulative<br />

Variance %<br />

1 5.150 24.118 24.118 5.150 24.118 24.118 3.357 24.384 24.384<br />

2 3.944 16.380 40.498 3.944 16.380 40.498 3.134 16.120 40.504<br />

3 2.418 11.120 51.618 2.418 11.120 51.618 2.529 10.643 51.147<br />

4 1.3<strong>01</strong> 10.096 61.714 1.3<strong>01</strong> 10.096 61.714 2.480 9.4<strong>01</strong> 60.548<br />

5 0.984 6.068 67.782<br />

6 0.946 5.730 73.512<br />

7 0.818 5.103 78.615<br />

8 0.731 4.903 83.518<br />

9 0.690 4.350 87.868<br />

10 0.649 4.143 92.<strong>01</strong>1<br />

11 0.532 2.859 94.870<br />

12 0.417 2.387 97.257<br />

13 0.389 1.980 99.237


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14 0.229 0.763 100.00<br />

EXTRACTION METHOD: PRINCIPAL COMPONENT ANALYSIS<br />

Factor loadings are simple correlations between the variables and factors. The most commonly<br />

used method is the Varimax rotation procedure. This is an orthogonal method of rotation that<br />

minimizes the number of variables with high loadings of a factor, thereby enhancing the<br />

interpretability of the factors. Orthogonal rotations results in factors that are uncorrelated.<br />

TABLE 5:ROTATED COMPONENT MATRIX<br />

Component<br />

S.No. Statements 1 2 3 4<br />

1 Majority of the people watch television for pleasure<br />

seeking<br />

2 TV viewing helps the viewers to be acquainted with<br />

latest in various fields, be it sports, academics, politics<br />

3 etc. The daily television soaps which are melodramatic in<br />

nature lead to purgation of emotions of viewers.<br />

4 TV viewing is one of the most common leisure<br />

activities among the masses.<br />

5 People get ideas for myriad of activities like cookery,<br />

interior designing etc.<br />

6 The various dance shows,music shows etc being<br />

telecasted provide learning experience to the viewers.<br />

7 The various spiritual channels cater to spiritual<br />

awakening among the viewers.<br />

8 Television also generates knowlegde about various<br />

cultures,rituals and traditions.<br />

9 Knowledge about the rich heritage of various nations<br />

can be obtained from television viewership.<br />

.720 .813 .531 .478<br />

.518 .407 .326 .320<br />

.209 .627 .779 .235<br />

.361 .521 .389 .260<br />

.212 .317 .412 .352<br />

.341 .489 .656 .419<br />

.285 .223 .311 .591<br />

.603 .326 .262 .270<br />

.425 .336 .316 .296<br />

10 Familiarity with rare and distinct plant and animal life .680 .352 .272 .480<br />

can be acquired by viewing television.<br />

11 The advertisements make the audience know about .402 .326 .561 .413<br />

newly launched product and services.<br />

12 Television proves out to be a stress buster for many. .542 .561 .452 .797


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13 The family members can spend quality time together in<br />

todays‟ hectic scheduled world<br />

14 Various health oriented serve as a break from wordly<br />

pressure.<br />

.502 .646 .463 .371<br />

.564 .449 .472 .722<br />

Principal Component Analysis under the rotation method (Varimax with Kaiser Normalization),<br />

rotation converged in 15 iterations. The following four components (Table 6) may be extracted:<br />

Component 1: Factor 2,8,9,10 (Generation of Knowledge and learning)<br />

Component 2:Factor 1,4,13 (Medium of relaxation and time pass)<br />

Component 3:Factor 3,5,6,11 (Upliftment of hidden talents)<br />

Component 4:Factor 7,12,14 (Stress management tools)<br />

The rotated component matrix suggests presence of the four interrelated factors.<br />

TABLE 6: NAMING OF FACTORS<br />

Factor<br />

No.<br />

Name of<br />

Dimension<br />

Item<br />

No.<br />

Variables<br />

Factor<br />

loading<br />

F1<br />

Generation<br />

of<br />

Knowledge<br />

and Learning<br />

2 TV viewing helps the viewers to be acquainted with<br />

latest in various fields, be it sports, academics,<br />

politics etc.<br />

8 Television also generates knowlegde about various<br />

cultures,rituals and traditions.<br />

.518<br />

.603<br />

9 Knowledge about the rich heritage of various nations<br />

can be obtained from television viewership.<br />

.425<br />

F2 Medium of<br />

Relaxation<br />

and Pass<br />

time<br />

10 Familiarity with rare and distinct plant and animal<br />

life can be acquired by viewing television<br />

1 Majority of the people watch television for pleasure<br />

seeking<br />

4 TV viewing is one of the most common leisure<br />

activities among the masses<br />

.680<br />

.813<br />

.521<br />

13 Audience gets to know about the variety available in<br />

one product.<br />

.646


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F3<br />

Upliftment of<br />

hiddent<br />

talents<br />

3 The daily television soaps, which are melodramatic<br />

in nature, lead to purgation of emotions of viewers.<br />

5 People get ideas for myriad of activities like<br />

cookery, interior designing etc.<br />

6 The various dance shows,music shows etc being<br />

telecasted provide learning experience to the<br />

viewers.<br />

11 The advertisements make the audience know about<br />

newly launched product and services.<br />

.779<br />

.412<br />

.656<br />

.561<br />

F4<br />

Stress<br />

management<br />

tool<br />

7 The various spiritual channels cater to spiritual .591<br />

awakening among the viewers.<br />

12 Television proves out to be a stress buster for many. .797<br />

14 Various health oriented serve as a break from wordly<br />

pressure.<br />

.722<br />

GENERATION OF KNOWLEDGE AND LEARNING: It is the most significant factor with<br />

24.118 percent of total variance explained. This explains the intent of indian viewers while<br />

watching various television programs. Most of the viewers seeks knowledge and learning from<br />

various television programs, or they prefer to watch such programs which help them refresh their<br />

knowledge.<br />

MEDIUM OF RELAXATION AND PASS TIME: It is the second most significant factor with<br />

16.380 percent of total variance explained. Most of the indian viewers as expected watch<br />

television as a leisure activity or their favorite pass time. Women prefer to kill time by watching<br />

various daily soaps when their husbands are out for work, although the sample in this study<br />

contains young population, the trend remains the same. Television is still seen as a major source<br />

of time pass by many households in india.<br />

UPLIFTMENT OF HIDDENT TALENTS: It is the third most significant factor with 11.120<br />

percent of total variance explained. The young population has understood the importance of<br />

various television programs based on jugding talents or other such activities. Most of the young<br />

respondents have valued this factor as third most important factor.<br />

STRESS MANAGEMENT TOOL: It is the fourth most significant factor with 10.096 of total<br />

variance explained. As contrary to passing time, most of the respondents see television as major<br />

source of stress management. The television programs which focus on comedy,laughter etc have<br />

been a hug hit among the young population, which seems to enjoy such programs and give a<br />

break to a hectic worklife.


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PREFERENCES FOR DIFFERENT CATEGORIES OF TELEVISION PROGRAMS<br />

The youngsters were asked to express their preferences with respect to various programs. Eight<br />

type of programs were asked from respondents.Overall there were three choices (I,II and III) for<br />

ranking preferences for watching Television programs. The weighted average score of<br />

preferences were computed by allocating weights of 3,2 and 1 to 1st Preference, 2nd Preference<br />

and 3rd Preference respectively. The „News Coverage‟ (Table 7) category with average score of<br />

2.53 was rated as Number 1 Preference by the respondents, followed by „Reality shows‟ (2.44)<br />

and „Daily Serials‟(2.19). The least preferred categories includes „Animal/Adventure<br />

shows‟(1.88) at Number 6th, „Knowledge based programs‟ (1.83) at Number 7 and „Cartoon<br />

Shows‟(1.56) at Number 8.<br />

TABLE 7 : PREFERENCES FOR DIFFERENT CATEGORIES OF TV PROGRAMS<br />

TV Program Preferences Weighted<br />

Average<br />

Score<br />

Overall<br />

Preferences<br />

(WAS)<br />

1 2 3<br />

Daily Serials 366<br />

179<br />

2<strong>05</strong><br />

2.19 III<br />

(48.8)<br />

(23.8)<br />

(27.3)<br />

Reality Shows 425<br />

233<br />

92<br />

2.44 II<br />

(56.6)<br />

(31.0)<br />

(12.2)<br />

Music Programs 279<br />

204<br />

267<br />

2.<strong>01</strong> V<br />

(37.2)<br />

(27.2)<br />

(35.6)<br />

News Coverage 504<br />

142<br />

104<br />

2.53 I<br />

(67.2)<br />

(18.9)<br />

(13.8)<br />

Movies 317<br />

221<br />

212<br />

2.14 IV<br />

(42.2)<br />

(29.4)<br />

(28.2)<br />

Knowledge Based<br />

Programs<br />

171<br />

(22.8)<br />

283<br />

(37.7)<br />

296<br />

(39.4)<br />

1.83 VII


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Cartoon Shows 1<strong>01</strong><br />

225<br />

424<br />

1.56 VIII<br />

(13.4)<br />

(30.0)<br />

(56.5)<br />

Animal/Adventure<br />

Shows<br />

229<br />

(30.5)<br />

204<br />

(27.2)<br />

317<br />

(42.2)<br />

1.88 VI<br />

Gender-wise preferences as shown in Table 8, reveals that Males preferred „Knowledge Based<br />

Programs‟ (WAS =2.72) and females mostly prefer watching „Movies‟(WAS =2.89). It could be<br />

seen that „Music programs‟ are least preferred by males and females(WAS of 1.45 and 1.56).<br />

The t-values show significant difference at 1% level between males and females with respect to<br />

program preferences such as „Daily Serials‟(t=4.76),Reality shows‟(t=1.45),„Movies‟(t=2.78)<br />

and „Knowledge based programs‟(t=2.12). Also table 8 reveals that there is no signficant<br />

difference in watching preferences of males and females in categories of „Music<br />

programs‟(t=0.56), „News coverage‟(t=0.12), „Cartoon Shows‟ (t=0.78) and „Animal/Adventure<br />

Shows‟(t=0.89). It could be concluded from table 8 that on 4 out of 8 categories there is<br />

significant difference in watching preferences of males and females.<br />

TABLE 8: GENDER-WISE PREFERENCES FOR DIFFERENT TV PROGRAMS<br />

(WEIGHTED AVERAGE SCORES)<br />

TV Program Male Female t-Value<br />

Daily Serials 1.79 2.76 4.76*<br />

Reality Shows 2.65 1.98 1.45*<br />

Music Programs 1.45 1.56 0.56 (ns)<br />

News Coverage 2.34 2.14 0.12 (ns)<br />

Movies 1.56 2.89 2.78*


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Knowledge Based<br />

Programs<br />

2.72 1.67 2.12*<br />

Cartoon Shows 1.90 2.21 0.78(ns)<br />

Animal/Adventure Shows 2.16 1.96 0.89(ns)<br />

*At 1% significance level, ns represents not significant in this table<br />

Age-wise preferences as revealed in Table 9 shows that all the age groups consistently preferred<br />

„Reality shows‟ whereas „News coverage‟ was more preferred by higher age groups. This shows<br />

that as the age increases the respondents begin to watch more of News related programs. The 16-<br />

20 Age group‟s least preference was „Knowledge based programs‟ (WAS=1.11) while 21-25 age<br />

groups‟ least preferences was „Animal/Adventure Shows‟ (WAS= 1.34) and 26-30 age groups‟<br />

least preference was „Music programs‟(WAS=1.90). The F-ratio values shows significant<br />

difference at 5% level between various age groups with respect to program preferences such as<br />

„Daily serials‟ (F-ratio=8.91), „News Coverage‟(F-ratio=4.09), „Knowledge based programs‟ (Fratio=5.56),<br />

„cartoon shows‟(F-ratio=6.91) and „Movies‟(F-ratio=2.87). This means that as the<br />

age increases the watching preferences of respondents changes for most of the categories.<br />

However the F-ratio values for „reality shows‟(F-ratio=1.10), „Music programs‟(F-ratio=1.89)<br />

and „Animal adventure shows‟(F-ratio=1.09) do not show any signficant difference for various<br />

age groups.<br />

TABLE 9: AGE-WISE PREFERENCES FOR DIFFERENT TV PROGRAMS<br />

(WEIGHTED AVERAGE SCORES)<br />

TV Program 16-20 Yrs 21-25 Yrs 26-30 Yrs F-ratio<br />

Daily Serials 1.43 1.97 2.43 8.91*<br />

Reality Shows 2.21 2.39 2.67 1.10 (ns)<br />

Music Programs 1.23 1.81 1.90 1.89 (ns)<br />

News Coverage 1.12 2.13 2.91 4.09*


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Movies 1.31 2.12 2.58 2.87*<br />

Knowledge Based<br />

Programs<br />

1.11 1.89 2.<strong>01</strong> 5.56*<br />

Cartoon Shows 2.34 1.60 1.75 6.91*<br />

Animal/Adventure<br />

Shows<br />

1.22 1.34 1.98 1.09 (ns)<br />

*At 5% significance level, ns represents not significant in this table<br />

Education-wise preference as shown in table 10 reveals that Under graduate prefer watching<br />

„Cartoon shows‟ (WAS=2.89) and as the education level increases the preference shifts to<br />

„Reality shows‟(WAS=2.51) and „News coverage‟(WAS=2.81). The Under graduates least<br />

prefer „Music Programs‟ (WAS=1.08),the graduates least prefer „Music Programs‟ (WAS=1.82)<br />

and Post graduates least prefer „Animal/adventure‟ shows (WAS=1.45). The F-ratio values<br />

shows significant difference at 5% level between various education levels with respect to<br />

program preferences such as „News coverage‟ (F-ratio=3.91) , „Knowledge based programs‟(Fratio=2.45),<br />

„Cartoon shows‟(F-ratio=4.90) and „Animal/adventure shows‟(F-ratio=6.14). It can<br />

be concluded that on 4 out of 8 categories there is significant difference in watching preferences<br />

of various television programs with different education levels.<br />

TABLE 10: EDUCATION WISE PREFERENCES FOR DIFFERENT TV PROGRAMS<br />

(WEIGHTED AVERAGE SCORES)<br />

TV Program<br />

Under<br />

Graduate<br />

Graduate Post Graduate F-ratio<br />

Daily Serials 2.78 2.12 2.02 1.14 (ns)<br />

Reality Shows 2.06 2.51 2.32 1.36 (ns)<br />

Music Programs 1.08 1.82 2.02 1.18 (ns)<br />

News Coverage 2.02 2.67 2.81 3.91*


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Movies 2.12 2.08 2.21 1.<strong>01</strong> (ns)<br />

Knowledge Based<br />

Programs<br />

2.16 2.71 2.63 2.45*<br />

Cartoon Shows 2.89 2.<strong>01</strong> 1.72 4.90*<br />

Animal/Adventure<br />

Shows<br />

2.53 1.90 1.45 6.14*<br />

*At 5% significance level, ns represents not significant in this table<br />

Income-wise preferences for various Television programs (Table 11) reveals that as the income<br />

increases the preference shift s from „Daily Serials‟ to „News coverage‟.The respondents with<br />

income less than Rs.10000 have least preference for „Cartoon shows‟ (WAS=1.18), those with<br />

income between Rs.10,000 and Rs.20,000 have least preference for „Music<br />

programs‟(WAS=1.22), those with income between Rs.20,000 and Rs.30,000 have least<br />

preference for „Cartoon shows‟(WAS=1.32) and those with income above Rs.30,000 also have<br />

least preference for „Cartoon shows‟(WAS=1.23). The F-ratio values shows significant<br />

difference at 5% level between various income levels with respect to program preferences such<br />

as „Daily serials‟(F-ratio=4.22), „Reality shows‟(F-ratio=3.87), „Movies‟(F-ratio=3.08) and<br />

„Animal/adventure shows‟ (F-ratio=3.<strong>01</strong>). It can be concluded that on 4 out of 8 categories there<br />

is significant difference in watching preferences of various television programs with different<br />

income levels.<br />

TABLE 11: INCOME-WISE PREFERENCES FOR DIFFERENT TV PROGRAMS<br />

(WEIGHTED AVERAGE SCORES)<br />

TV Program<br />

Under<br />

Rs.10,000<br />

Rs.10,000-<br />

Rs.20,000<br />

Rs.20,000-<br />

Rs.30,000<br />

Above<br />

Rs.30,000<br />

F-ratio<br />

Daily Serials 2.34 2.09 1.92 1.51 4.22*<br />

Reality Shows 2.11 2.23 2.41 2.32 3.87*<br />

Music Programs 1.<strong>01</strong> 1.22 1.43 1.90 1.03 (ns)


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News Coverage 2.09 2.89 2.91 2.73 1.14 (ns)<br />

Movies 2.<strong>01</strong> 2.36 2.11 2.56 3.08*<br />

Knowledge Based<br />

Programs<br />

2.29 2.76 2.21 2.68 1.<strong>01</strong> (ns)<br />

Cartoon Shows 1.18 1.29 1.32 1.23 1.78 (ns)<br />

Animal/Adventure<br />

Shows<br />

2.13 2.57 2.21 2.03 3.<strong>01</strong>*<br />

*At 5% significance level, ns represents not significant in this table<br />

CONCLUSION<br />

The findings of the study reveals that most of the young indians watch television either „most<br />

often‟ or „sometimes‟ and spend about 3-5 hours daily. It can be further concluded from the<br />

study that there is no signficant difference in frequency of watching television between Males<br />

and Females, with almost equal mean average scores of around 2.67 as shown by the t-values.<br />

With increase in age and changes in education levels, there is no significant change in the pattern<br />

of television viewing, as shown by similar mean and f-ratio values. However with increase in<br />

income the viewers tends to watch less television.<br />

The study also highlights the various reasons for Indian youth to watch television, mainly four<br />

factors emerged as most significant which includes, Generation of Knowledge and Learning,<br />

Medium of Relaxation and Pass time, Upliftment of hiddent talents and Stress management tool.<br />

It can be concluded that most of the young Indians view television as a learning tool and their<br />

favorite time pass activity. Some of the respondents view it as technique to polish their talents<br />

and others use television as a stress management tool to counter their stressfull worklife.<br />

It can be concluded from the study that Males preferred „Knowledge Based Programs‟and<br />

females mostly prefer watching „Movies‟.It could be seen that „Music programs‟ are least<br />

preferred by males and females. All the age groups consistently preferred „Reality shows‟<br />

whereas „News coverage‟ was more preferred by higher age groups.Also it was seen that Under<br />

graduates prefer watching „Cartoon shows‟ and as the education level increases the preference<br />

shifts to „Reality shows‟ and „News coverage‟. Also it can be concluded that with increase in<br />

income the preference shifts from „Daily Serials‟ to „News coverage‟. Marketers and advertisers<br />

to identify the best-fit slot for putting their advertisement in television can use the findings of this


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study. In addition, Marketers according to their target segments can advertise their products in<br />

those programs, which their audience prefers to watch. The study leaves the scope for further<br />

research in understanding of consumer preferences for particular programs, the time of watching<br />

television for different age, income and educationa level groups.<br />

REFERENCES<br />

Ahluwalia, A.K and Singh, R. (2<strong>01</strong>1), TV Viewing Habits Amongst Urban Children, IUP<br />

Journal Of Marketing Management, Vol. 10(1),45-62<br />

Bukhari, Bushra (2002).The Effect of Television Programmes on Youth. M.A. Thesis,<br />

University of the Punjab, Lahore, 67.<br />

Dorr Aimme (1986).Television And Children:A Special Medium For Special<br />

Audience,Sage,Thousand Oaks.<br />

Fatima, Nabiha (2000). Effects of Satellite Channels (ZEE TV) on Middle Class of Lahore. M.A.<br />

Thesis, University of the Punjab, Lahore, 60<br />

Giacomo Corneo, (2002).Work and Television, CESifo Working Paper Series No. 829; IZA<br />

Discussion Paper No. 376<br />

Lowery, Shearon and Melvin L. DeFleur (1988) Milestones in Mass Communication Research.<br />

New York, NY: Longman Inc.<br />

Malhotra, Naresh, K. (2002), Marketing Research -An Applied Orientation, 3rd Edition, Pearson<br />

Education: New Delhi.<br />

Shmizu, S. (1993). The Implication Of Trans-Border Television For Natural Cultures And<br />

National Broadcasting: A Japanese Perspective. Media Asia. Singapore: An Asian Mass<br />

Communication Quarterly, 20,183-197.<br />

Unnikrishnan N and Bajpai (1996). Impact Of Television Advertising On Children, 4 th Edition,<br />

Sage, New Delhi<br />

Valaskakis, Gail (1983), Television Viewing Tastes and Habits among the Inuit of the Eastern<br />

And Central Arctic," Anthropologica 25(1), 71-83.<br />

Verma S and Larson R W (2002).TV in Indian adolescents‟ lives:A member of the family,<br />

Journal of youth and Adolescene,Vol 31(3),177-183


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APPENDIX<br />

TABLE 12: DEMOGRAPHIC PROFILE OF RESPONDENTS<br />

Demographics No. of Respondents Percentage of Respondents<br />

Age:<br />

16-20<br />

21-25<br />

26-30<br />

250<br />

250<br />

250<br />

33.3<br />

33.3<br />

33.3<br />

Total 750 100<br />

Gender:<br />

Female<br />

Male<br />

375<br />

375<br />

50<br />

50<br />

Total 750 100<br />

Education:<br />

Under Graduate<br />

Graduate<br />

Post Graduate<br />

Any Other<br />

206<br />

282<br />

231<br />

31<br />

27.4<br />

37.6<br />

30.8<br />

04.1<br />

Total 750 100<br />

Monthly Income:<br />

Under Rs.10000<br />

Rs.10000-Rs.20000<br />

Rs.20000-Rs.30000<br />

More than Rs.30000<br />

46<br />

179<br />

279<br />

112<br />

06.1<br />

23.8<br />

37.3<br />

15.0


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Not Employed 134 17.8<br />

Total 750 100


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ANALYSIS OF FINANCIAL PERFORMANCE OF TATA STEEL –<br />

A CASE STUDY<br />

INTRODUCTION<br />

SUVARUN GOSWAMI*; ANIRUDDHA SARKAR**<br />

*Assistant Professor in Commerce, Rishi Bankim Chandra Evening College,<br />

Naihati, North 24 Parganas, West Bengal.<br />

**Junior Research Fellow, Department of Commerce, The University of Burdwan,<br />

Burdwan - 713104, West Bengal, India.<br />

Working capital in business is considered as life blood in human body. It is a capital required to<br />

operate business on day to day basis and it varies according to the nature of business, production,<br />

sales policies, turnover, credit period etc. Liquidity means the capacity of the firm to convert the<br />

assets into realizable value in money. It measures the ability of the firm to honor all the maturing<br />

obligations. No firm can survive without liquidity. A firm not making profit may be considered<br />

as sick, but having no liquidity may soon meet its downfall and ultimately die. Liquidity<br />

management has thus become a basic and broad aspect of judging the performance of corporate<br />

entity. It is, therefore, essential to maintain an adequate degree of liquidity for smooth running of<br />

the business operations. The liquidity should be neither excessive nor inadequate. Excessive<br />

liquidity indicates accumulation of idle funds, which do not earn any profit for the firm and<br />

inadequate liquidity not only adversely affected the credit worthiness of the firm but also<br />

interrupts the production process and hampers its earning capacity to a great extent. In the wave<br />

of globalization and economic liberalization, growth and survival stability of the enterprises<br />

largely depend on the effective management of working capital, which has a direct bearing on<br />

the economic well being of the country as a whole. Thus, it is felt that there is a need to manage<br />

various components of working capital in such a way that an adequate amount of working capital<br />

is to maintaining for smooth running of the wheel of an enterprise for the fulfillment of twin<br />

objectives of liquidity and profitability with the <strong>vol</strong>atility of various components of working<br />

capital in the firm‟s operating environment. The emphasis of the present study is to measure &<br />

analyze the operating risk, financial risk, and total risk by way of computing the Degree of<br />

Operating Leverage (DOL), Degree Of Financial Leverage (DFL), and Degree Of Total<br />

Leverage (DTL) of the selected company viz.Tata Steel for the accounting period from 2000-<strong>01</strong><br />

to 2009-10.<br />

OBJECTIVE OF THE STUDY<br />

i) To measure, test and evaluate the liquidity position of Tata Steel.<br />

ii)<br />

iii)<br />

iv)<br />

To determine the profitability position of Tata Steel.<br />

To find out the degree of association between liquidity and profitability, being two<br />

key determinants of financial performance, of the company under study.<br />

To establish the linear relationship between liquidity and profitability.


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v) To assess the degree of association between the various leverage ratios with the wellknown<br />

profitability indicator viz. ROE of Tata Steel during the period under study.<br />

vi)<br />

To provide valid recommendations these deserve the attention of the management of<br />

the studying company and government.<br />

DATA BASE AND METHODOLOGY<br />

The study is based on secondary data collected from the audited Profit & Loss A/c and Balance<br />

Sheet associated with schedules, annexure available in the published annual reports of Tata Steel<br />

for the period of 10 years (i.e. from 2000-<strong>01</strong> to 2009-10). For the purpose of the study, Journals,<br />

Conference proceedings and other relevant documents have also been consulted to supplement<br />

the data. In the present study the liquidity and profitability position have been taken into<br />

consideration by calculating different key liquidity and profitability ratios in order to judge their<br />

financial performance for the period under study. The ratios which have been applied for<br />

highlighting the efficiency of working capital management are current Ratio (CR), Quick Ratio<br />

(QR), Current Assets to Total Assets Ratio (CATAR), Current Assets to Sales Ratio (CASR),<br />

Working Capital to Turnover Ratio (WCTR), Inventory Turnover Ratio (ITR), Debtors Turnover<br />

Ratio (DTR), and Cash Turnover Ratio (CTR) and the measure of profitability which has been<br />

selected is Return on Capital Employed (ROCE).For measuring the operating risk, financial risk<br />

and total risk Degree of Operating Leverage (DOL), Degree of Financial Leverage(DFL) and<br />

Degree of Total Leverage(DTL) have been computed. For assessing the degree of association<br />

between the various liquidity ratios with the return on capital employed (ROCE) and various<br />

leverage ratios with Return on Equity (ROE) Pearson‟s simple correlation coefficient has been<br />

applied and Students„t‟ test has been used for the purpose of testing the results obtained<br />

empirically.<br />

LITERATURE REVIEW<br />

SAMILOGLU & DAMIRGUNES (2008) said that even though the profitability is constantly<br />

positive, inaccurate working capital management procedures may lead to bankruptcy of the firm.<br />

They suggest that current, acid test, and cash ratios as traditional measures of liquidity are<br />

incompetent and static balance sheet measures that cannot provide detailed and accurate<br />

information about working capital management effectiveness. In their research formulas used for<br />

calculating them consider both liquid and operating as sets in common and traditional ratios are<br />

not meaningful in terms of cash flow.<br />

NANDI (2<strong>01</strong>1) made an attempt to examine the influence of working capital management on<br />

corporate profitability. For assessing impact of working capital management on profitability of<br />

National Thermal Power Corporation Ltd. during the period of 10 years i.e., from 1999-2000 to<br />

2008-09 Pearson‟s coefficient of correlation and multiple regression analysis between some<br />

ratios relating to working capital management and the impact measure relating to profitability<br />

ratio (ROI) had been computed and applied. An attempt had been undertaken for measuring the<br />

sensitivity of return of investment (ROI) to changes in the level of working capital leverage<br />

(WCL) of the studying company.


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KARADUMAN, AKBAS & CALISKAN (2<strong>01</strong>1) have tried to shed light on the empirical<br />

relationship between efficiency of working capital management and corporate profitability of<br />

selected companies in the Istanbul Stock Exchange for the period of 20<strong>05</strong>-2009. The companies<br />

should focus on working capital management in order to increase their profitability by seriously<br />

and professionally considering the <strong>issue</strong>s on their cash conversion cycle which was derived from<br />

the number of day‟s accounts payable, the number of day‟s accounts receivable and the number<br />

of days of inventories. The findings suggested that it may be possible to increase profitability by<br />

improving efficiency of working capital.<br />

MALLICK AND SUR (1998) made an attempt to analyze the impact of working capital<br />

management on profitability in Indian Tea industry with the help of some statistical tools and<br />

techniques. The study revealed that, out of the nine ratios relating to working capital<br />

management five ratios registered positive association and the remaining four ratios showed<br />

negative correlation with the profitability indicator. Rao & Rao (1999) undertook a similar type<br />

of study where ten ratios relating to working capital management were selected. Out of these<br />

indicators, positive association was noticed only in three.<br />

CHEAKRABORTY (2008) evaluated the relationship between working capital and profitability<br />

of 25 selected companies in the Indian pharmaceutical industry during the period 1996-97 to<br />

2007-08.Inadequacy of working capital may lead to the firm to insolvency, whereas excessive<br />

working capital implies idle funds which earns no profits. Therefore, efficient management of<br />

working capital is an integral part of the overall corporate strategy to improve corporate<br />

profitability. The partial regression coefficients shown in the multiple regression equation of<br />

ROCE on CR, ITR and DTR fitted in this study revealed that the liquidity management,<br />

inventory management and credit management made positive contribution towards improvement<br />

of the corporate profitability.<br />

SINGH AND PANDEY (2008) said that working capital management is the management of<br />

current assets and current liabilities. Maintaining high inventory levels reduces the cost of<br />

possible interruption in the production process or of loss of business due to the scarcity of<br />

products, reduces supply costs and protects against price fluctuations. Granting trade credit<br />

favors the firm‟s sales in various ways. Trade credit can act as an effective price cut and<br />

incentives to customers to acquire merchandise at times of low demands. Thus, greater the<br />

investment in current assets, lower is the risk, and profitability obtained. Similarly trade credit is<br />

a Spontaneous source of financing that reduces that amount required to finance the sums tied up<br />

in the inventory and account receivables. Profitability and liquidity comprises the salient and all<br />

too often conflicting goals of working capital management. The conflicts arise because the<br />

maximum of firm‟s returns could seriously threaten liquidity and on the other hand, the pursuit<br />

of liquidity has a tendency to dilute returns.<br />

ALAM AND HOSSAIN (2000) found that the capital structure management of Khulne<br />

Shipyard Ltd. (KSL) was in a poor shape because the interest coverage ratio was negative, as<br />

there is the possibility of non-payment of interest charges to creditors. Hull (2002) found that the<br />

industry debt to equity norms are significantly more negative than returns for the firms‟ moving<br />

closer to these norms. Nissim and Penman (2003) stated that the financial statement analysis<br />

distinguishes leverage in financing activities from leverage in operations. Azhagaiah and


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Gangadevi (2008) studied the leverage and financing decision for the selected 30 electronic<br />

companies for the five years period ranging from1998 to 2003. In his study he found that the<br />

company has a high operating leverage should kept low financial leverage and vice-versa. So, it<br />

is desirable that a company has low operating leverage and a high financial leverage.<br />

COMPANY PROFILE<br />

Tata Steel Ltd is the world's 10th largest steel company and the world's 2nd most geographically<br />

diversified steel producer. The company is a diversified steel producer with major operations in<br />

India, Europe and South East Asia. They have manufacturing units in 26 countries and at<br />

presence in 50 European and Asian markets. The company together with their subsidiaries,<br />

engages in the manufacture and sale of steel products in India and <strong>international</strong>ly. They offer hot<br />

and cold rolled coils and sheets, galvanized sheets, tubes, wire rods, construction rubbers and<br />

bearings. The company also in<strong>vol</strong>ves in prospecting, discovering, and mining iron ore, coal,<br />

Ferro alloys, and other minerals; designing and manufacturing plants and equipment for steel, oil<br />

and natural gas, energy and power, mining, railways, ports, aviation, and space industries; and<br />

agricultural implements. Further, they offers alumina, dolomite, and monolithic refractories, as<br />

well as silica refractories for coke ovens and the glass industry; manufactures bricks; sponge iron<br />

lumps and fines; and rolls for applications in integrated steel plants, power plants, and<br />

government mint, as well as paper, textile, and food processing sectors .Tata Steel's operations<br />

are grouped under six Strategic Business Units include Bearings Division, Ferro Alloys and<br />

Minerals Division, Agrico Division, Tata Growth Shop (TGS), Tubes Division and Wire<br />

Division. They have introduced several branded steel products, including Tata Steelium (the<br />

world's first branded Cold Rolled Steel), Tata Shaktee (Galvanized Corrugated Sheets), Tata<br />

Tiscon ( rubbers), Tata Pipes, Tata Bearings, Tata Structural, Tata Agrico (hand tools and<br />

implements) and Tata Wiron (galvanized wire products) Tata Steel Ltd was incorporated in the<br />

year 1907 with the name Tata Iron & Steel Company Ltd. In the year 1911, the company<br />

commenced the operations of the first Blast Furnace or the 'A' Blast Furnace. In December 2,<br />

1911, the fist collieries were obtained and the first cast of pig iron was produced. In the year<br />

1912, the first ingot of steel rolled out of the Sakchi Plant and in October 1912, the Bar Mills<br />

started their commercial production. Also, the B Blast Furnace became operational during the<br />

year. In the year 1918, India's first steel (coke) plant was established in Jamshedpur. In the year<br />

1925, the New Rail Mill, Merchant Mill and Sheet Mill went into operation. In the year 1931,<br />

they opened a apprentice shop. In the year 1941, they started manufacture of special steel for war<br />

purpose. They produced a wide variety of special steels required for defense purposes including<br />

armoured cars called 'Tatanagars'. In the year 1943, Howrah Bridge was constructed from steel<br />

supplied by the company. In the year 1955, the company signed an agreement with Kaiser<br />

Engineers for two million tonne expansion programme. In the year 1980, they started the first<br />

phase of the four-phased modernization programme.


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COMPUTATIONS AND MAJOR FINDINGS OF THE STUDY<br />

TABLE-1: SIMPLE CORRELATION ANALYSIS BETWEEN THE SELECTED<br />

RATIOS RELATING TO WORKING CAPITAL MANAGEMENT AND RETURN ON<br />

CAPITAL EMPLOYED OF TATA STEEL FOR THE PERIOD<br />

FROM 2000-<strong>01</strong> TO 2009-10<br />

Year CR QR CATAR CASR WCTR ITR DTR CTR ROCE<br />

2000-<strong>01</strong> 0.95 0.78 0.34 0.47 0.04 8.31 6.30 3.50 14.98<br />

20<strong>01</strong>-02 0.76 0.69 0.38 0.46 0.<strong>01</strong> 7.82 6.46 3.27 10.51<br />

2002-03 0.70 0.60 0.49 0.42 -0.06 9.<strong>01</strong> 9.64 4.28 24.82<br />

2003-04 0.67 0.36 0.36 0.26 -0.14 9.93 14.81 2.34 38.18<br />

2004-<strong>05</strong> 0.65 0.42 0.42 0.28 -0.08 10.17 25.74 1.70 63.79<br />

20<strong>05</strong>-06 0.71 0.40 0.35 0.28 -0.06 8.47 30.57 1.91 50.13<br />

2006-07 1.27 1.73 0.58 0.78 0.41 8.77 33.75 44.00 36.63<br />

2007-08 2.88 4.39 0.82 1.88 1.48 8.99 37.77 2.37 23.27<br />

2008-09 2.30 0.73 0.19 0.44 0.03 8.82 45.52 6.53 17.23<br />

2009-10 1.<strong>05</strong> 0.90 0.20 0.49 0.08 8.16 49.98 12.97 13.70<br />

Correlation<br />

-0.33 -0.20 0.16 -0.24 -0.17 0.71 0.034 0.007 -<br />

(r)<br />

Calculated<br />

value of \t\<br />

with (n-2)<br />

d. f.<br />

0.994 0.58 0.46 0.70 0.49 2.85 0.09 0.<strong>01</strong>87 -<br />

Note: (i) Tabulated value of „t‟ with (n-2) d .f. i.e., 8 d. f. both at 5% and 1% levels of<br />

significance for both tailed tests are 2.31 and 3.36 respectively.<br />

(ii) Since, the calculated value of \t\ of the correlation coefficient between ROCE and ITR is<br />

higher than the tabulated value of„t‟ at 5% level of significance, so, the correlation coefficient<br />

between ROCE and ITR is statistically significant at 5% level of significance. Except this, in all<br />

other cases, the calculated values of \t\ are lower than the tabulated values of„t‟ both at 5% and


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1% levels of significance so, the correlation coefficients are not statistically significant both at<br />

5% and 1% levels of significance.<br />

r × √ (n– 2)<br />

(iii) Formula used for calculating |t| =………………….. With (n-2) d. f.<br />

√ (1 – r2)<br />

Source: Complied and computed from Published annual reports of the company.<br />

CHART-1: DIAGRAMMATIC REPRESENTATION OF SELECTED LIQUIDITY<br />

RATIOS OF TATA STEEL FOR THE PERIOD FROM 2000-<strong>01</strong> TO 2009-10


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TABLE-2: ANALYSIS OF PROFITABILITY OF TATA STEEL FOR THE PERIOD<br />

FROM 2000-<strong>01</strong> TO 2009-10<br />

Year G.P. Ratio Op. Pro. Ratio N. P. Ratio ROCE<br />

2000-<strong>01</strong> 16.<strong>01</strong> 22.04 11.85 14.98<br />

20<strong>01</strong>-02 11.58 17.60 5.21 10.51<br />

2002-03 20.85 24.77 13.46 24.82<br />

2003-04 30.75 32.87 17.44 38.18<br />

2004-<strong>05</strong> 40.82 42.40 24.21 63.79<br />

20<strong>05</strong>-06 39.74 40.89 23.17 50.13<br />

2006-07 40.56 42.00 24.66 36.63<br />

2007-08 40.20 44.93 22.26 23.27<br />

2008-09 34.04 40.16 20.46 17.23<br />

2009-10 33.27 40.68 17.73 13.70<br />

CHART-2: DIAGRAMMATIC REPRESENTATION OF TABLE-2


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MAJOR FINDINGS OF THE STUDY IN RESPECT OF WORKING CAPITAL<br />

MANAGEMENT<br />

In table-1 an attempt has been made to measure the impact of working capital management on<br />

profitability by computing Karl Pearson‟s correlation coefficients between ROCE and the<br />

selected measures relating to the working capital management. Table-1 shows that the<br />

correlation coefficient between ROCE and CR is (-) 0.33, which indicates that there is a<br />

moderately negative association between the profitability and the liquidity of the company and<br />

correlation coefficient is found to be statistically insignificant both at 5% and 1% levels<br />

respectively. That means there is an insignificant association between ROCE and CR during the<br />

period under study.<br />

It is observed from table-1 that the correlation coefficient between ROCE and QR during the<br />

period under study is negative and is calculated at (-) 0.20, which is found to be statistically<br />

insignificant both at 5% and 1% levels respectively. It is evident from these two ratios that the<br />

higher the Company‟s margin of safety to the short term creditors, the lower is the profitability<br />

of the company. The computed value of correlation coefficient between ROCE and QR for the<br />

study period conforms to the accepted principle.<br />

It is highlighted from table-1 that the coefficient of correlation between ROCE and CATAR<br />

during the study period is 0.16. It implies that there is a positive association between the<br />

profitability and the Current Assets to total assets ratio. The coefficient of correlation is found to<br />

be statistically insignificant both at 5% and 1% levels during the study period. The generally<br />

accepted rule is that the greater the CATAR, the lower will be the profitability of the company.<br />

The computed value of correlation coefficient between ROCE and CATAR for the study period<br />

does not conform to the accepted principle.<br />

Table-1 exhibits that the coefficient of correlation between ROCE and Current ratio to Sales ratio<br />

(CASR) during the study period is (-) 0.24, which is also found to be statistically insignificant<br />

both at 5% and 1% levels respectively. This indicates that there is a low degree of negative<br />

association between the two variables. Generally speaking the lower the current assets to sales<br />

ratio (CASR), the greater will be the efficiency of the employment of working capital and larger<br />

will the scope of profitability and vice-versa. The calculated value of correlation coefficient<br />

between CASR and ROCE conforms to that principle.<br />

It is seen from table-1 that the correlation coefficient between ROCE and WCTR is (-) 0.17<br />

which implies that there is negative association between these two variables. The calculated<br />

value of correlation coefficient is found to be statistically insignificant both at 5% and 1% levels<br />

respectively. It is an accepted principle that faster the working capital turnover ratio (WCTR) the<br />

slower the relative investment and greater is the profitability of the company. The computed<br />

value of correlation coefficient between ROCE and WCTR under the study period does not<br />

conform to the accepted principle.<br />

It is observed from table-1 that the correlation coefficient between ROCE and ITR is positive<br />

and is computed at 0.71 during the period under study. The coefficient is found to be statistically<br />

significant at 5% level of significance. The most accepted principle is that higher the Inventory


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turnover ratio (ITR), greater is the efficiency of inventory management and larger is the scope of<br />

profitability. The computed value of correlation coefficient between ROCE and ITR conforms to<br />

the accepted principles during the period under study. It can be concluded that the inventory<br />

management has a significant influence on the profitability of the company during the study<br />

period.<br />

Table-1 highlights that the correlation coefficient between ROCE and DTR is positive and is<br />

computed at 0.034 during the period under study. It is found to be statistically insignificant at 5%<br />

and 1% levels respectively. The study of relationship between the profitability (measured in<br />

terms of ROCE) and the credit management (measured in terms of DTR) conforms to the<br />

generally accepted rule that greater the DTR, the lower is the relative investment in the<br />

receivable and higher is the profitability.<br />

Lastly, the correlation coefficient between ROCE and CTR shows (from table-1) a very low<br />

degree of positive association and is computed at 0.007 which is found to be statistically<br />

insignificant both at 5% and 1% levels of significance respectively. The more acceptable<br />

principle is that higher the CTR, the more will be the efficiency of cash management and larger<br />

will be the scope of improving capital productivity. The study of correlation coefficient between<br />

ROCE and CTR reveals that the computed value of correlation coefficient conforms to the<br />

accepted principle.<br />

TABLE-3: SIMPLE CORRELATION ANALYSIS OF VARIOUS LEVERAGE RATIOS<br />

WITH ROE OF TATA STEEL FOR THE PERIOD FROM 2000-<strong>01</strong> TO 2009-10<br />

Year DOL DFL DTL ROE<br />

2000-<strong>01</strong> 1.49 1.68 2.50 11.32<br />

20<strong>01</strong>-02 1.80 2.61 4.70 6.83<br />

2002-03 1.35 1.27 1.71 31.41<br />

2003-04 1.22 1.09 1.32 38.66<br />

2004-<strong>05</strong> 1.11 1.04 1.16 49.06<br />

20<strong>05</strong>-06 1.14 1.03 1.18 37.53<br />

2006-07 1.13 1.04 1.17 29.69<br />

2007-08 1.10 1.13 1.25 17.63<br />

2008-09 1.11 1.20 1.34 17.04<br />

2009-10 1.12 1.26 1.41 14.11


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Correlation<br />

-0.513 -0.665 -0.60 -<br />

(r)<br />

Calculated value<br />

of \t\ with (n-2)<br />

d. f.<br />

1.69 2.46 2.12 -<br />

Note: (i) Tabulated value of„t‟ with (n-2) d .f. i.e., 8 d. f. both at 5% and 1% levels of<br />

significance for both tailed tests are 2.31 and 3.36 respectively.<br />

(ii) Since, the calculated value of \t\ of correlation coefficient between ROE and DFL is higher<br />

than the tabulated value of„t‟ at 5% level of significance, so, the correlation coefficient between<br />

DFL and ROE is statistically significant at 5% level of significance. Except this, in all other<br />

cases, the calculated values of \t\ are lower than the tabulated values of„t‟ both at 5% and 1%<br />

levels of significance so, the correlation coefficients are not statistically significant both at 5%<br />

and 1% levels of significance.<br />

r × √ (n– 2)<br />

(iii) Formula used for calculating |t| =………………….. With (n-2) d f.<br />

√ (1 – r2)<br />

Source: Complied and computed from Published annual reports of the company.


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CHART-3: DIAGRAMMATIC REPRESENTATION OF LEVERAGE RATIOS OF<br />

TATA STEEL FOR THE PERIOD FROM 2000-<strong>01</strong> TO 2009-10<br />

MAJOR FINDINGS IN RESPECT OF LEVERAGE RATIOS<br />

1. Diagram-3 depicts that there is a decreasing trend in the values of DOL during the period<br />

under study except the financial year 20<strong>01</strong>-02. That means, on an average, the degree of<br />

operating risk decreases during the said accounting period. So, we can conclude that the<br />

ratio of fixed operating costs to total costs decreases during the period under study except<br />

in the accounting year 20<strong>01</strong>-02.<br />

2. The calculated value of correlation coefficient between the degree of operating leverage<br />

(DOL) and return on equity (ROE) is (-) 0.513. It signifies that there is a moderately<br />

negative association between these two variables and this relationship is statistically<br />

insignificant both at 5% and 1% levels of significance. So, we can conclude that with the


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decrease in the value of DOL the return on equity increases but this association is not<br />

statistically significant both at 5% and 1% levels of significance.<br />

3. Again, the computed value of correlation coefficient between DFL and ROE is (-) 0.665.<br />

It signifies that there is a moderately high degree of negative association between these<br />

two variables and this relationship is statistically significant at 5% level of significance<br />

during the study period.<br />

4. The computed value of correlation coefficient between DTL and ROE is (-) 0.60, which<br />

signifies that there is a moderately high degree of negative association between these two<br />

variables and also this association is not statistically significant both at 5% and 1% levels of<br />

significance during the study period.<br />

5. If we go through the rate of return on equity it can easily be seen that in the very first two<br />

years of study (i.e., 2000-<strong>01</strong> and 20<strong>01</strong>-02) the rate of return is low and after that for the<br />

accounting years 2002-03 to 2006-07 this rate is high and then there is a decreasing trend in<br />

the rate of return, but there is no stability in that rate; rather there is a fluctuating trend in the<br />

rate of return on equity throughout the study period.<br />

CONCLUDING REMARKS<br />

The study of correlation coefficient reveals that out of eight ratios depicted on table-1 relating<br />

to the working capital management four have registered positive association and rest four have<br />

registered negative association with the selected profitability ratio (i.e. ROCE). Out of the<br />

above eight ratios reflected on table-1, relating to working capital management only ITR has a<br />

high degree of positive association with the profitability ratio (i.e., ROCE), and which has a<br />

significant influence on the profitability of the company at 5% level of significance.<br />

The basic proposition is that if a company has both the leverages at a high level, it will be a<br />

very risky position because the combined effect of the two is a multiple of these two leverages.<br />

Therefore, if a company has a high operating leverage, the financial leverage should be kept at a<br />

low level. Accordingly, if a company has high operating leverage and low financial leverage, it<br />

can partly dilute the effect of high operating leverage. A low operating leverage means high<br />

controllable costs (variable costs) and low uncontrollable costs (fixed costs) and therefore a less<br />

risky situation. In the present study, the company has the high operating and financial leverages<br />

during the first three years of the study. That means the company is in a very risky position<br />

during the first three years of the study as compared to the entire study period.<br />

RECOMMENDATIONS<br />

1. To cover the fixed operating costs the firm should have to improve its net sales so as to<br />

maintaining the operating risk within the manageable limit in the years to come.<br />

2. The company may use additional external capital (i.e., fixed charge bearing capital) in its<br />

capital structure in near future as the rewards to the external funds provider are tax deductible<br />

expenditure as a result earnings after tax can be enhanced which will ultimately lead to make


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the equity shareholders happy and reliable on the firm‟s operating as well as financing<br />

performance.<br />

3. The company should be maintaining a sound short-term debts paying capacity in future<br />

because the use of more amount of external funds may lead to short-term insolvency.<br />

4. For the very existence and growth, every company has to earn adequate profit. As regards<br />

profitability, the company witnessed a fluctuating trend throughout the study period, which is<br />

not desirable from the management of the company. To keep the shareholders‟ happy and<br />

reliable the rate of return to the equity shareholders should be consistent in the years to come.<br />

REFERENCES<br />

1. Bernstein, L A and Wild J J (2004), Analysis of Financial Statements, New Delhi,<br />

Tata Mcgraw Hill Publishing Co. Ltd., pp.111-150.<br />

2. Khan, M.Y and Jain, P.K. (20<strong>05</strong>), Financial Management-Text, Problems, and cases,<br />

New Delhi, Tata McGraw Hill Publishing Co. Ltd., pp. 7.1-7.66.<br />

3 Foster, G (2002), Financial Statement Analysis, Delhi, Pearson Education (Singapore)<br />

Pvt .Ltd. pp. 57-93.<br />

4. Pandey, I. M. (2004), Financial Management, New Delhi, Vikash Publishing House Pvt<br />

.Ltd. PP. 517-540.<br />

5. Krishnaveni. M (2008): “Performance appraisal of an Indian Chemical Industry after<br />

Liberalization,” Finance India, Indian Institute of Finance, Vol.XXII No.3, September<br />

2008, p p.971-980.<br />

6. Azhagaiah. R & Gangadevi. S (2008): “Leverage and Financial Decision”, The Indian<br />

Journal of Commerce, Vol.61. No.1. January-March 2008, pp.90-98.<br />

7. Bhattacharya, H., (1997), Total Management by Ratios, Sage Publication India Pvt.<br />

Ltd., New Delhi.<br />

8. Bardia S.C, 2004, “Liquidity Management: A Case Study of Steel Authority of India<br />

Ltd. The Management Accountants, June, Vol-39, No.-6, pp. 463-495.<br />

9. Chandra, P., 2006, Financial Management. Theory and Practice, Tata Mc Graw Hill<br />

Publishing Company Ltd.; New Delhi.<br />

10. Fees, P.E., 1978, “The Working Capital Concept”, Accounting Theory: Text and<br />

Readings L.D Mac cullers & R.G. Schroeder (Ed.), John Wiley & Sons, pp-200-2<strong>05</strong>.<br />

11. Kumar, A.V. and Venkatachalam, A., 1995, “Working Capital & Profitability–An<br />

Empirical Analysis” The Management Accountant. Oct, Vol. 30, No. 10, pp. 748-750.


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12. Luther C.T.R, 2007, “Liquidity, Risk and Profitability Analysis: A Case Study of<br />

Madras Cements Ltd.”. The Management Accountant, Oct. Vol-42, No. 10, pp. 784-789.<br />

13. Official website of Tata Steel (http://www.tatasteel.co.in/)<br />

14. Reddy Y.V and Patkar S.B., 2004, “Working Capital and Liquidity Management in<br />

Factoring: A Comparative Study of SBI and Can Bank Factors”. The Management<br />

Accountant May, Vol-39, No.-5, pp. 373-378.<br />

15. Yadav, R.A., 1986, “Working Capital Management – A Parametric Approach”. The<br />

Chartered Accountant, May, p-952.<br />

16. Nandi, K. C (2<strong>01</strong>1), “Impact of Working Capital Management on Profitability, A Case<br />

Study of National Thermal Power Corporation Ltd.”, The Management Accountant,<br />

January 2<strong>01</strong>1, pp.22-27


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EFFECTIVENESS OF IT EVENTS IN ACADEMIC INSTITUTIONS-<br />

STUDENTS’ PERSPECTIVE<br />

ABSTRACT<br />

RANJITH P.V.*; MRS. NEHA CHOPADE**;<br />

MS. VIDHYA RAO***<br />

*Sr. Lecturer, S.I.E.S College of Management Studies,<br />

Nerul, Navi-Mumbai.<br />

**Associate Professor, S.I.E.S College of Management Studies,<br />

Nerul, Navi-Mumbai.<br />

***Lecturer, S.I.E.S College of Management Studies,<br />

Nerul, Navi-Mumbai.<br />

BACKGROUND: IT events became far too popular in the past few years serving as a powerful<br />

platform to the students for sharing their knowledge , talents and improving skills like<br />

confidence, presentation, decision making, communication, problem solving to name a few.<br />

OBJECTIVE: This paper showcases our work on how effective the technical events are in<br />

enhancing the students’ career and motivating them to work individually as well as<br />

collaboratively. This paper also highlights the implications and the challenges faced when<br />

students organize and participate in these events.<br />

METHODOLOGY: This paper proposes a questionnaire based survey which will be conducted<br />

for students of M.C.A. course and their perceptions will be analyzed. This study is limited to the<br />

The sampling area is SIES College of Management Studies, Navi Mumbai.<br />

FINDINGS: From our research on this paper, it is found that the IT events play an important<br />

role in students’ academic growth. The participants and organizers learn new skills. It is found<br />

from the research that these kind of events pose a challenge for both the organizers and the<br />

participants.<br />

KEYWORDS: IT- Information Technology; MCA- Master in Computer Applications; LAN-<br />

Local Area Network.<br />

INTRODUCTION<br />

IT technical events, in every college and in different streams are basically organized to test the<br />

flame of competence and intellect in participants. Usually these IT events are scheduled for over<br />

a span of two to three days. These events are generally organized by an all students committee<br />

with minimal funding by the respective management of the institute and largely by way of<br />

sponsorships. The technical festival is open to students of outside colleges. It is the most awaited<br />

event of the year which brings the students and the staff members together and helps invigorating<br />

the bond between them. Every year the festival is jeweled with the benign presence of all


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students, staff members, the trust officials, renowned speakers from corporate world. The<br />

technical festivals provide a platform to the students where they can showcase their talents in<br />

these events. The objectives of the competitions set in these events are to encourage the students<br />

across colleges to develop originality, creativity and technical skills; to help promote the<br />

advancement our culture; and to foster the spirit of collaboration in joint production. There is<br />

wide media coverage and huge publicity campaigns to promote these inter college events. The<br />

students are encouraged to participate in these events by way of awarding certificates and also<br />

prizes are given to the winners both in the form of kind and/or cash. The best college trophy is<br />

awarded to that college from which the maximum numbers of students win the organized events.<br />

RESEARCH METHODOLOGY<br />

The study is qualitative in nature and population is defined as M.C.A. students of Mumbai. The<br />

sampling area is SIES College of Management Studies, Navi Mumbai. The samples were<br />

collected using convenient sampling method. Sampling unit is defined as a student. Sample size<br />

is taken to be 87.<br />

It includes two sections:<br />

1. Section 1 (Questions relating to event organizers)<br />

2. Section 2 (Questions relating to event participants )<br />

(Questionnaire Annexure Enclosed-Annexure 1)<br />

OBJECTIVES OF THE STUDY<br />

1. To study the importance of IT events in the lives of students in addition to their academic<br />

growth.<br />

2. To find out the significance of various events in the order of their preference and<br />

popularity amongst the gender.<br />

3. To determine the most essential qualities required, their experiences and the challenges<br />

the students face while organizing and/or participating in these events.<br />

ANALYSIS AND INTERPRETATION<br />

This section consists of obtaining the findings and suggestions relating to organizing technical<br />

events.<br />

1.1


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TABLE 1: EVENTS IN ORDER OF RANKING<br />

Coding &<br />

debugging<br />

rank<br />

Technical<br />

quiz rank<br />

Web design<br />

rank<br />

Treasure<br />

hunt<br />

rank<br />

Poster designing<br />

rank<br />

LAN gaming<br />

rank<br />

N Valid 86 86 86 86 82 87<br />

Median 7.0000 7.0000 6.0000 6.0000 10.0000 3.0000<br />

Galli cricket<br />

rank<br />

Short film<br />

making rank<br />

Dance<br />

rank<br />

Rink<br />

rank<br />

football<br />

Badminton<br />

rank<br />

N Valid 85 83 80 85 85<br />

Median 2.0000 15.0000 12.0000 5.0000 6.0000<br />

Ad mad<br />

show<br />

rank<br />

Carrom<br />

rank<br />

Chess<br />

rank<br />

Robot<br />

football<br />

rank<br />

Java<br />

encoding<br />

rank<br />

Paper<br />

presentation<br />

rank<br />

Project<br />

presentation<br />

rank<br />

N Valid 84 86 81 85 84 76 75<br />

Median 10.0000 6.0000 8.0000 5.0000 10.0000 12.0000 12.0000<br />

As shown in the above table (marked in bold), galli cricket , LAN gaming, rink football rank,<br />

robot football , badminton, carom, web design, treasure hunt are important according to the<br />

respondents in the order of highest to lowest. Short film making event was given the lowest<br />

ranking by the respondents (All the results are interpreted using median).<br />

HYPOTHESIS TEST 1:<br />

H 0 : There is no significant difference between the responses of males and females in terms of<br />

ranking given to important events.<br />

H A : There is a significant difference between the responses of males and females in terms of<br />

ranking given to important events.


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FIGURE 1: MANN-WHITNEY U-TEST FOR COMPARISON OF GENDER<br />

IN TERMS OF IMPORTANT EVENTS<br />

The above figure shows that for the most important events there is no difference in perception<br />

between males and females. In all cases H 0 is acceptable.


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1.2<br />

Some of the challenges/<strong>issue</strong>s faced by the organizers of the events to get the sponsorship were<br />

restriction(s) by management, calling and fixing appointments of the sponsors, communication<br />

gap between students, professors and office staff, difficulty in convincing the sponsors, lack of<br />

marketing skills of the organizers, most of the sponsors sponsoring the various events of the<br />

same academic institution, sponsors’ high demands, the timing of the festival which is<br />

somewhere near the end of financial year that makes the sponsors debilitate their funds and also<br />

many colleges have their events at the same time.<br />

1.3<br />

TABLE 2: SKILLS IN TERMS OF IMPORTANCE WHEN APPROACHING FOR<br />

SPONSORSHIP (FOR ORGANIZERS)<br />

Communication<br />

skills Negotiation skills Marketing skills Presentation skills<br />

N Valid 86 85 86 86<br />

Mean 4.6395 4.4706 4.4651 4.3023<br />

From the above table, we conclude that for approaching for sponsorship, the communication<br />

skills are of utmost importance (obtained from the mean values).<br />

1.4<br />

TABLE 3: QUALITIES WHILE ORGANIZING THE EVENTS<br />

Enhanced<br />

communication<br />

skills<br />

Enhanced<br />

negotiation<br />

skills<br />

Enhanced<br />

marketing<br />

skills<br />

Enhanced<br />

presentation<br />

skills<br />

Enhanced<br />

problem<br />

solving skills<br />

N Valid 83 79 83 81 82<br />

Mean 4.4819 4.0886 4.1566 4.16<strong>05</strong> 4.0732


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New problem<br />

solving skills<br />

Teamwork<br />

skills<br />

Enhanced<br />

confidence<br />

Skills of<br />

management<br />

of finance<br />

Skill of<br />

management<br />

of resource<br />

N Valid 82 83 79 79 79<br />

Mean 3.8780 4.5060 4.2152 4.0633 4.0253<br />

Skills of<br />

management<br />

of risk<br />

Skills<br />

decision<br />

making<br />

of<br />

Skills of<br />

time<br />

management<br />

N Valid 82 81 83<br />

Mean 3.9024 4.3827 4.4096<br />

Enhanced team work, communication skills, time management, decision making and confidence<br />

level are the major parameters of quality which are enhanced while organizing the event (As<br />

shown by the mean values in the table marked as bold). This is further scrutinized by the factor<br />

analysis given below:<br />

FACTOR ANALYSIS<br />

TABLE 4 : TOTAL VARIANCE EXPLAINED<br />

Initial Eigen values<br />

Extraction Sums of<br />

Squared Loadings<br />

Rotation Sums of Squared<br />

Loadings<br />

Compone<br />

nt<br />

Tota<br />

l<br />

% of<br />

Varianc<br />

e<br />

Cumulati<br />

ve %<br />

Total<br />

% of<br />

Varian<br />

ce<br />

Cumulati<br />

ve %<br />

Tota<br />

l<br />

% of<br />

Varian<br />

ce<br />

Cumulati<br />

ve %<br />

1 5.60<br />

9<br />

2 1.42<br />

6<br />

43.146 43.146 5.609 43.146 43.146 3.27<br />

0<br />

10.967 54.113 1.426 10.967 54.113 2.99<br />

7<br />

25.153 25.153<br />

23.<strong>05</strong>6 48.209


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3 1.07<br />

0<br />

8.229 62.342 1.070 8.229 62.342 1.83<br />

7<br />

14.133 62.342<br />

4 .985 7.578 69.920<br />

Initial Eigen values<br />

Extraction Sums of Rotation Sums of Squared<br />

Squared Loadings Loadings<br />

Componen<br />

t<br />

Tota<br />

l<br />

% of<br />

Varianc<br />

e<br />

Cumulativ<br />

e %<br />

Tota<br />

l<br />

% of<br />

Varian<br />

ce<br />

Cumulati<br />

ve %<br />

Tota<br />

l<br />

% of<br />

Varian<br />

ce<br />

Cumulati<br />

ve %<br />

5 .678 5.219 75.138<br />

6 .643 4.945 80.083<br />

7 .579 4.454 84.537<br />

8 .534 4.1<strong>05</strong> 88.642<br />

9 .411 3.164 91.806<br />

10 .3<strong>01</strong> 2.319 94.124<br />

11 .287 2.209 96.333<br />

12 .272 2.094 98.427<br />

13 .2<strong>05</strong> 1.573 100.000<br />

Extraction Method: Principal Component Analysis.<br />

TABLE 5 : ROTATED COMPONENT MATRIX A<br />

Component<br />

1 2 3<br />

Communication skills .300 .072 .774<br />

Negotiation skills -.032 .253 .828


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Marketing skills .111 .493 .383<br />

Presentation skills .292 .593 .289<br />

Problem solving skills .468 .482 .295<br />

New problem solving .477 .523 -.132<br />

Teamwork skills .712 .262 .230<br />

Confidence level .665 .331 -.074<br />

Finance management<br />

skills<br />

Resource<br />

management skills<br />

.113 .818 .249<br />

.281 .783 .120<br />

Risk management skills .520 .543 -.028<br />

Decision making skills .785 .265 .186<br />

Time<br />

skills<br />

Management<br />

.841 .036 .220<br />

Extraction Method: Principal Component Analysis.<br />

Rotation Method: Varimax with Kaiser Normalization.<br />

a. Rotation converged in 8 iterations.<br />

Factor analysis is valid as KMO value is found to be very high (not shown due to space<br />

constraint). First two components are found to be very important using Eigen value concept. The<br />

analysis is used as a tool for data reduction and to find out most important parameters which are<br />

improved after organizing the event.<br />

The rotated component matrix and total variance explained shows the importance of the<br />

parameters. This shows that some qualities are not enhanced while organizing the events. The<br />

events marked as bold are important qualities enhanced by organizing the events. The parameters<br />

which are having factor loading less than 0.6 is excluded as less important parameters.<br />

There are 3 components got after factor analysis. First factor contains skills like teamwork,<br />

confidence building, decision making and time management. 2 nd component contains skills of


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management of finance; management of resource and presentation skills, while 3 rd contains<br />

enhanced communication skills and enhanced negotiation skills.<br />

TABLE 6: SKILLS ENHANCED DURING PARTICIPATION IN THE EVENTS<br />

Communication<br />

skills<br />

Leadership<br />

skills<br />

Teamwork<br />

skills<br />

Presentation<br />

skills<br />

Technical<br />

skills<br />

Confidence<br />

skills<br />

Time<br />

management<br />

skills<br />

N Valid 80 79 79 79 78 79 79<br />

Mean 4.1000 4.<strong>05</strong>06 4.3418 3.8608 3.9487 4.2658 4.1772<br />

The table shows that the most important quality enhanced while participating in events is that of<br />

teamwork followed by confidence enhancement and time management skills. So the organizers<br />

have to make the events in such a way so as to encourage these qualities (Value close to 5 means<br />

the factor is enhanced by participating).<br />

TABLE 7: FACTORS MOTIVATING TO PARTICIPATE IN TECHNICAL FESTIVAL<br />

Having fun factor of motivation<br />

Frequency Percent Valid Percent<br />

Cumulative<br />

Percent<br />

Valid .00 39 44.8 48.1 48.1<br />

1.00 42 48.3 51.9 100.0<br />

Total 81 93.1 100.0<br />

Missing System 6 6.9<br />

Total 87 100.0<br />

Social interaction factor of motivation<br />

Frequency Percent Valid Percent<br />

Cumulative<br />

Percent<br />

Valid .00 49 56.3 60.5 60.5


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1.00 32 36.8 39.5 100.0<br />

Total 81 93.1 100.0<br />

Missing System 6 6.9<br />

Total 87 100.0<br />

Passion factor of motivation<br />

Frequency Percent Valid Percent<br />

Cumulative<br />

Percent<br />

Valid .00 49 56.3 60.5 60.5<br />

1.00 32 36.8 39.5 100.0<br />

Total 81 93.1 100.0<br />

Missing System 6 6.9<br />

Total 87 100.0<br />

College representation factor of motivation<br />

Frequency Percent Valid Percent<br />

Cumulative<br />

Percent<br />

Valid .00 46 52.9 56.8 56.8<br />

1.00 35 40.2 43.2 100.0<br />

Total 81 93.1 100.0<br />

Missing System 6 6.9<br />

Total 87 100.0<br />

A value of 1.00 in the above tables show how that factor is given by the respondent and a value<br />

of 0.00 show that a respondent is not interested in that. If we look at the tables above we can see


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that the most important parameters for motivation are having fun, followed by representing the<br />

college. Social interaction and passion to win are also important factors (Only tables for<br />

important factors of motivation are shown).<br />

Some experiences carried by the participants are accounted as follows:<br />

A good platform to learn, compete and evaluate the talents and explore ones own abilities. Also<br />

these events help in increasing the personal contacts in other colleges. It drives for self<br />

confidence, self evaluation, evaluates one’s strengths and weaknesses. In addition, the<br />

participants affirm that they have lots of fun.<br />

FINDINGS<br />

1. Galli cricket and LAN gaming are found to be most important events followed by rink football<br />

rank, robot football , badminton, carom, web design and treasure hunt. So the organizers can<br />

give more emphasis on these events and can ideally provide more funds for this. Also, the<br />

marketing can be done improved for these events.<br />

2. Teamwork, confidence building, decision making and time management are some of the skills<br />

enhanced by organizing these events. So the events have to be organized or shaped in such a<br />

fashion that they can that help in building these qualities and also the event organizers can<br />

concentrate on organizing events which are focused towards these qualities.<br />

3. Participation in the events enhances qualities like that of teamwork followed by confidence<br />

enhancement and time management skills. So the events should be formed in such a way that<br />

they include occasions where these above mentioned parameters are in abundance and student<br />

participants get a chance to improve on these qualities which are essential for the corporate<br />

world. This means that the event management team has to think in lot of dimensions so as to give<br />

the participants the necessary skills and at the same time make them enjoy the events.<br />

4. The most important parameter which motivates the participants is having fun which means<br />

that the events have to combine intellectual inputs with fun element at the top to make a product<br />

which is saleable in the student community .Also the importance of competition is also a factor<br />

which has to be thrown to motivate the students. The events also have to generate passion and<br />

also a sense of social belonging for the students<br />

In short, these events have to bestow the necessary planning and organizing skills for the<br />

organizers. In addition to the necessary skills and the fun element, the participants also have to<br />

learn new skills and the feeling of representing their college. This is a challenge for both the<br />

organizers and the participants.<br />

SUGGESTIONS<br />

The essence of the entire study is to aim at making these technical events a striking success. The<br />

following are some of the suggestions reiterated as follows;


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1. In the process of organizing the technical events and the challenges faced by students in<br />

obtaining the sponsorship, it is important to keep in mind that corporate sponsorship is a<br />

form of brand advertising. This can be done by highlighting technical events that reflect<br />

the sponsors’ advertisement and/or logos at events or venues and in the media that<br />

advertise these events. Typical places for advertising the sponsors are banners over<br />

entrances, backs of spectator seats, any programs that are used by participants, t-shirts for<br />

participants as well organizers. Using a spreadsheet to handle these assets can be a handy<br />

way to keep track.<br />

2. Developing a website for the college event and finding out how many visitors have<br />

visited the website would help determine the popularity of the college event.<br />

3. Before sending off the initial query, it is important to locate and confirm a media partner.<br />

Research on the prospective companies that might be interested in sponsoring the event.<br />

To approach potential sponsors, it is advisable to write a one page proposal and/or<br />

prepare presentations that highlights/targets the type of participants.<br />

REFERENCES<br />

1. C.R. Kothari, 2009, Research Methodology, 2 nd Edition , New age Pub.<br />

2. Sanjay Gaur, 2009, Research Methods in Business(SPSS), Response Pub.<br />

ANNEXURE-1 –QUESTIONNAIRE<br />

Questionnaire on Effectiveness of IT events in academic institutions-students’ perspective<br />

Have you organized/participated a technical festival(s) in your/other colleges?<br />

1. Organized 2. Participated 3. Both 1 & 2 4. None<br />

SECTION I – FOR ORGANIZERS<br />

1.1 Rank the events on the basis of response from the participants (1 –highest and 18-lowest)<br />

Event Name<br />

Rank<br />

Event Name<br />

Rank<br />

Coding & Debugging<br />

Rink Football<br />

Technical Quiz<br />

Badminton<br />

Web Designing<br />

Ad Mad Show<br />

Treasure Hunt<br />

Carrom


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Poster Designing<br />

Lan Gaming<br />

Galli Cricket<br />

Short Film Making<br />

Dance<br />

Chess<br />

Robot Football<br />

Java Encoding<br />

Paper Presentation<br />

Project presentation<br />

1.2. While organizing the events what challenges/<strong>issue</strong>s have you faced to get the sponsorship?<br />

……………………………………………………………………………………………………<br />

1.3. Choose the following skills in terms of importance when approaching for sponsorship<br />

Sr.<br />

No.<br />

Characteristics<br />

Not Very<br />

Important<br />

Not<br />

Important<br />

Neutral Important Very<br />

Important<br />

1 Communication skills<br />

2 Negotiation skills<br />

3 Marketing skills<br />

4 Presentation skills<br />

5 Any other<br />

1.4 Choose the appropriate option which enhances below mentioned qualities while organizing<br />

the event.<br />

Sr.<br />

No.<br />

Qualities<br />

Not Very<br />

Much<br />

Not Much Neutral M uch Very Much<br />

1 Communication skills<br />

2 Negotiation skills<br />

3 Marketing skills<br />

4 Presentation skills


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5 Problem-solving skills<br />

6 Developing new skills<br />

7 Team work<br />

8 Enhances confidence level<br />

9 Managing finance<br />

10 Managing<br />

resources/logistics<br />

11 Risk management<br />

12 Decision making skills<br />

13 Time management skills<br />

SECTION 2 FOR PARTICIPANTS<br />

2.1 Choose the appropriate option which enhances below mentioned qualities<br />

Sr.<br />

No.<br />

Qualities Not Very<br />

much<br />

Not<br />

much<br />

Neutral Much Very much<br />

1 Communication skills<br />

2 Leadership<br />

3 Team Work<br />

4 Presentation skills<br />

5 Technical skills<br />

6 Confidence level<br />

7 Time Management skills<br />

2.2. Select the factors that motivate you to participate in technical festival?<br />

1 Competition with others 2. Self-evaluation 3. Having fun


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4. Increasing social interaction 5. Passion to win 6.Representing your college<br />

7. Any other: _____________________________<br />

2.3. Comment on your experiences when you attended other college IT events<br />

………………………………………………………………………………………………………<br />

DEMOGRAPHICS<br />

Name:_____________________________<br />

Age-group<br />

1. 18-24 2. 24-30 3. 30-40<br />

Gender:<br />

4. 40-50 5. 50 & above<br />

1. Male 2. Female<br />

Educational Background:<br />

1. Undergraduate 2. Graduate 3. Post-graduate 4. Doctorate<br />

Class: _________________________<br />

Email-ID: ___________________________


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M-LEARNING: A NOVEL WAY TO ENHENCE<br />

YOGA EDUCATION<br />

DR V.N.PATIL*: ASHISH NAMDEVRAO SAWALE**<br />

*Director, School of Educational Sciences, S.R.T.M. University,<br />

Nanded, Maharashtra, India.<br />

** Research Scholar,School of Educational Sciences, S.R.T.M.University,<br />

Nanded, Maharashtra, India.<br />

ABSTRACT<br />

Today we live in an era of information and communication technology due to the revaluation of<br />

mobile technology. Mobile technology in word open various ways for new educational<br />

technologies aimed at fulfilling the country‟s educational needs. M-learning is a new way of<br />

learning. In which mobile devices including handheld Pc, PDA, mobile phones, symbian and<br />

smart phones are used for teaching learning purposes. It is a novel concept which makes learning<br />

portable, spontaneous, effective and exciting. The most important future of M-learning is it<br />

decreases limitation of learning location. There are various ways to use mobile phones for Yoga<br />

Education. We can record the lectures, read E-books, provide feedback, access internet;<br />

multimedia materials, practical exercises and use Yoga related software for enhance Yoga<br />

Education.<br />

KEYWORDS: M-learning, Mobile learning, Yoga Education.<br />

INTRODUCTION<br />

According to Aristotle, „Education is the process of creating sound mind in the sound body‟. It is<br />

a short but full description of happy and healthy body. Yoga is an ancient pragmatic science<br />

which dealing with the physical, moral, mental and spiritual well being of man over thousands of<br />

years. It is both science and art which show the way and art of living. Through Yoga we realize<br />

how important a balanced mind is through experiencing deeper aspects of our own personality<br />

and then we begin to balance our essential needs and desires and develop insight. Yoga<br />

education can help students and teachers to relax the body, focus the mind and create healthy<br />

lifestyle.<br />

Today we live in an era of information and communication technology due to the<br />

revaluation of mobile technology. Mobile technology in word open various ways for new<br />

educational technologies aimed at fulfilling the country‟s educational needs. M-learning is a new<br />

way of learning. In which mobile devices including handheld Pc, PDA, mobile phones, symbian<br />

and smart phones are used for teaching learning purposes. It is a novel concept which makes<br />

learning portable, spontaneous, effective and exciting. The most important future of M-learning<br />

is it decreases limitation of learning location. There are various ways to use mobile phones for


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Yoga Education. We can record the lectures, read E-books, provide feedback, access internet;<br />

multimedia materials, practical exercises and use Yoga related software for enhance Yoga<br />

Education.<br />

WHAT IS YOGA EDUCATION?<br />

Yoga is a word from the ancient Sanskrit language; it derived from the ancient Sanskrit<br />

language root Yuj. That means Union, the attainment and merger of the individual human<br />

consciousness with the cosmic consciousness. The word Yoga is also used to describe the<br />

different Yogic Techniques employed the different disciplines that are used to facilitate the<br />

awareness and experience of Body, Mind and Spirit integration. Yoga is one of the six orthodox<br />

systems of ancient Indian philosophy.<br />

“Yoga is a set of physical and mental exercises, India in origin, which is intended to give control<br />

over the body and mind”<br />

- Cambridge Advanced Learner‟s Dictionary.<br />

Yoga, as a science and as a form of exercise, is not new science of health education. Yoga has a<br />

rich successful history of more than five thousand years. The Upanishads provided the base of<br />

yoga teaching. Yoga Education is one of the forms of physical or health education which help<br />

teachers and students to discover their self and help them to live a life where their body, mind,<br />

and spirit will be in harmony. Yoga education includes teachings of yoga to students of all ages.<br />

In this type of education yoga is learn and teach as a part of school curriculum for academic<br />

achievements.<br />

There are many institutes in world which offers various types of educational courses in<br />

yoga education. There are various introductory Yoga classes for people who not done before<br />

should in roll series or in beginning level class, special weekend workshops, teacher training<br />

program focusing on intensive studies in Asanas for advance learner of yoga. Yoga education<br />

includes all major concepts and practices of yoga.<br />

SIGNIFICANCE OF YOGA EDUCATION<br />

There are various significance of use Yoga Education in the Classroom, they are as<br />

fallows…<br />

* It helps students and teachers to relax their body.<br />

* It helps to provide effective treatment of a wide range of health problems or disorders.<br />

* It helps students and teachers to develop their imagination power.<br />

* It creates a healthy atmosphere for teaching-learning process.


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* It helps teacher and students to reduce their stress and tensions.<br />

* It helps teacher and students to bring concentration.<br />

* It heals to improve muscle tone, energy, stamina, strength and flexibility of teacher and<br />

students.<br />

*It helps to burn up body‟s extra fat and provide a much-improved body shape or figure.<br />

* It helps students and teachers to develop their decision making competency.<br />

WHAT IS M-LEARNING ?<br />

Today we live in an era of information and communication technology due to the<br />

revaluation of mobile technology. At the beginning mobile was considered as luxury. The price<br />

of a handset and call rates was beyond the reach of an ordinary person, but in present condition<br />

price fall, increasing demand and liberalization in government policy has given rise to Mobile<br />

Re<strong>vol</strong>ution. According to Telecom Regulatory Authority of India (TRAI), "India had 456.7<br />

million mobile subscribers; showed meaning about 40 percent of Indian's billion-plus population<br />

now had a phone. The most important future of M-learning is it decreases limitation of learning<br />

location. Adult peoples are largely adopters of new technologies that‟s why most of the students<br />

and teachers have their own mobile phones. Mobiles are not just a plaything but beyond it, it is<br />

an amazing educational tool for teaching and learning process. Mobile phones have all of the<br />

functional capabilities of modern computers so it can be used as educational tool. UNESCO<br />

mobile learning workshop in Tokyo (20<strong>05</strong>) serving as a sort of landmark event for the topic. The<br />

workshop report published as „Mobile Learning for Expanding Educational Opportunities‟ which<br />

focusing on the possible usage models and relevance for using mobile phones in a variety of<br />

ways to support new teaching-learning processes.<br />

“M-learning is a novel way of use mobile technology for teaching learning process”.<br />

“M-Learning is mobile learning using mobile technologies such as mobile phones & hand-held<br />

computers to enhance the learning process.”<br />

Mobile technology in word open various ways for new educational technologies aimed at<br />

fulfilling the country‟s educational needs. Information and communication technology has<br />

changed the way people looked at education. M-learning is a new way of learning. In which<br />

mobile devices including handheld Pc, PDA, mobile phones, symbian and smart phones are used<br />

for teaching learning purposes. It is a novel concept which makes learning portable, spontaneous,<br />

effective and exciting. The most important future of M-learning is it decreases limitation of<br />

learning location.<br />

ROSPECTIVES OF M-LEARNING TO ENHENCE YOGA EDUCATION<br />

There are various prospective of use M-learning system for enhance Yoga Education.<br />

They are as fallows ……….


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1) Yoga is a developing science. We can use MMS, SMS, E-mail and mobile calling to give<br />

latest information to teachers and students to update their knowledge about Yoga.<br />

2) We can give information related Yoga educational program me like conference, workshop,<br />

seminar through mobile calling and massaging to develop competencies of Yoga teacher.<br />

3) Due to the busy should, teachers and students could not able attend this <strong>vol</strong>uble programmes.<br />

In such conditions we can make video clips of this programme and distribute it among them<br />

easily.<br />

4) the most important future of M-learning is, it decreases limitation of learning location. One<br />

can learn or practice yoga whenever he wants.<br />

5) We can solve our Yoga related quires by calling to yoga expert.<br />

6) We can use various type of Yoga software to learn and enhance Yoga Education.<br />

7) We can download various types of Yoga E-books and Audio Books on our mobile.<br />

8) We can download various types of Yoga postures Videos for practice yoga.<br />

9) We can browse various Yoga Institutional web sites and offered courses through mobile<br />

internet.<br />

10) M-leaning system is also useful for developing distance education strategies for<br />

Yoga education.<br />

11) M-learning helps us to record lectures and video clips of expert yoga teachers.<br />

CONCLUSION<br />

Yoga is an ancient pragmatic science which dealing with the physical, moral, mental and<br />

spiritual well being of man over five thousands of years. Bhagavat Gita is one of the sacred<br />

source book which deals with the yoga philosophy, in which Lord Krishna explains the meaning<br />

of yoga as a deliverance from pain and sorrow that is why Yoga Education is considered as a<br />

divine science of life. It aims at creates a positive learning environment for students and teachers,<br />

increases student performance and improves classroom management with the melodious progress<br />

of the mind, body and the soul. The main theme to Yoga is to achieve self-realization and<br />

attaining control over mind. Yoga Education is one of the forms of physical or health education<br />

which help teachers and students to discover their self and help them to live a life where their<br />

body, mind, and spirit will be in harmony.There are various ways to use of M-learning system<br />

for Yoga Education. M-learning is a new way of learning which makes learning portable,<br />

spontaneous, effective and exciting. The most important future of M-learning is it decreases<br />

limitation of learning location. M-learning helps us to record lectures, read E-books, provide<br />

feedback, access internet, multimedia materials, practical exercises, use Yoga related software‟s<br />

for enhance Yoga Education.


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REFERENCES<br />

* Cambridge Advanced Learner‟s Dictionary.<br />

*www.m-learning.org/archive/index.shtml<br />

* http//en.m.wikipedia.org/wiki/yoga<br />

*Saraswati, Swami Satyananda, 1993Asana Pranayama Mudra Bandha, 8 th Ed.<br />

Bihar School of YogaMunger, Bihar, India.<br />

*www.yogahealthfoundation.org<br />

* Trisha Lamb, 20<strong>05</strong> Yoga and Education (Grades k-12).


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ABSTRACT<br />

WOMEN ENTREPRENEURSHIP IN INDIA-PROBLEMS AND<br />

PROSPECTS<br />

MEENU GOYAL*; JAI PARKASH**<br />

*Assistant Professor in Commerce,<br />

Sri Aurobindo College of Commerce and Management,<br />

Ludhiana – 142021, Punjab, India.<br />

**Assistant Professor in Commerce,<br />

Sri Aurobindo College of Commerce and Management,<br />

Ludhiana – 142021, Punjab.<br />

The educated Indian women have to go a long way to achieve equal rights and position because<br />

traditions are deep rooted in Indian society where the sociological set up has been a male<br />

dominated one. Despite all the social hurdles, Indian women stand tall from the rest of the crowd<br />

and are applauded for their achievements in their respective field. The transformation of social<br />

fabric of the Indian society, in terms of increased educational status of women and varied<br />

aspirations for better living, necessitated a change in the life style of Indian women. She has<br />

competed with man and successfully stood up with him in every walk of life and business is no<br />

exception for this. These women leaders are assertive, persuasive and willing to take risks. They<br />

managed to survive and succeed in this cut throat competition with their hard work, diligence<br />

and perseverance.<br />

The present paper endeavors to study the concept of women entrepreneur–Reasons women<br />

become entrepreneurs -Reasons for slow progress of women entrepreneurs in India - suggestions<br />

for the growth of women entrepreneurs-Schemes for promotion & development of women<br />

entrepreneurship in India-Case study of a women entrepreneur of Ludhiana.<br />

KEYWORDS: Entrepreneurship, Women, Business, Gender.<br />

INTRODUCTION<br />

The educated women do not want to limit their lives in the four walls of the house. They demand<br />

equal respect from their partners. However, Indian women have to go a long way to achieve<br />

equal rights and position because traditions are deep rooted in Indian society where the<br />

sociological set up has been a male dominated one. Women are considered as weaker sex and<br />

always made to depend on men folk in their family and outside, throughout their life. The Indian<br />

culture made them only subordinates and executors of the decisions made by other male<br />

members, in the basic family structure. While at least half the brainpower on earth belongs to<br />

women, women remain perhaps the world‘s most underutilized resource. Despite all the social<br />

hurdles, India is brimming with the success stories of women. They stand tall from the rest of the<br />

crowd and are applauded for their achievements in their respective field. The transformation of


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social fabric of the Indian society, in terms of increased educational status of women and varied<br />

aspirations for better living, necessitated a change in the life style of Indian women. She has<br />

competed with man and successfully stood up with him in every walk of life and business is no<br />

exception for this. These women leaders are assertive, persuasive and willing to take risks. They<br />

managed to survive and succeed in this cut throat competition with their hard work, diligence<br />

and perseverance. Ability to learn quickly from her abilities, her persuasiveness, open style of<br />

problem solving, willingness to take risks and chances, ability to motivate people, knowing how<br />

to win and lose gracefully are the strengths of the Indian women entrepreneurs.<br />

CONCEPT OF WOMEN ENTREPRENEURS<br />

Women Entrepreneurs may be defined as the women or a group of women who initiate, organize<br />

and operate a business enterprise. The Government of India has defined women entrepreneurs as<br />

―an enterprise owned and controlled by women having a minimum financial interest of 51 per<br />

cent of the capital and giving at least 51 per cent of the employment generated in the enterprise<br />

to women‖. Women entrepreneurs engaged in business due to push and pull factors which<br />

encourage women to have an independent occupation and stands on their on legs. A sense<br />

towards independent decision-making on their life and career is the motivational factor behind<br />

this urge. Saddled with household chores and domestic responsibilities women want to get<br />

independence. Under the influence of these factors the women entrepreneurs choose a profession<br />

as a challenge and as an urge to do some thing new. Such a situation is described as pull factors.<br />

While in push factors women engaged in business activities due to family compulsion and the<br />

responsibility is thrust upon them.<br />

OBJECTIVES AND RESEARCH METHODOLOGY OF THE STUDY<br />

The study is based on secondary data which is collected from the published reports of RBI,<br />

NABARD, Census Surveys, SSI Reports, newspapers, <strong>journal</strong>s, websites, etc. The study was<br />

planned with the following objectives:<br />

To evaluate the factors responsible for encouraging women to become entrepreneurs<br />

To study the impact of assistance by the government on women's entrepreneurship.<br />

To study the policies, programmes, institutional networks and the in<strong>vol</strong>vement of support<br />

agencies in promoting women's entrepreneurship.<br />

To critically examine the problems faced by women entrepreneurs.<br />

REASONS FOR WOMEN BECOMING ENTREPRENEURS<br />

The glass ceilings are shattered and women are found indulged in every line of business. The<br />

entry of women into business in India is traced out as an extension of their kitchen activities,<br />

mainly 3P‘s, Pickle, Powder and Pappad. But with the spread of education and passage of time<br />

women started shifting from 3P‘s to modern 3E‘s i.e., Energy, Electronics and Engineering.<br />

Skill, knowledge and adaptability in business are the main reasons for women to emerge into


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business ventures. ‗Women Entrepreneur‘ is a person who accepts challenging role to meet her<br />

personal needs and become economically independent. A strong desire to do something positive<br />

is an inbuilt quality of entrepreneurial women, who is capable of contributing values in both<br />

family and social life. With the advent of media, women are aware of their own traits, rights and<br />

also the work situations. The challenges and opportunities provided to the women of digital era<br />

are growing rapidly that the job seekers are turning into job creators. Many women start a<br />

business due to some traumatic event, such as divorce, discrimination due to pregnancy or the<br />

corporate glass ceiling, the health of a family member, or economic reasons such as a layoff. But<br />

a new talent pool of women entrepreneurs is forming today, as more women opt to leave<br />

corporate world to chart their own destinies. They are flourishing as designers, interior<br />

decorators, exporters, publishers, garment manufacturers and still exploring new avenues of<br />

economic participation. The following flow chart shows the reasons for women becoming<br />

entrepreneurs<br />

Innovative<br />

thinking<br />

self identity<br />

and social status<br />

Education<br />

and qualification<br />

New challenges<br />

and<br />

opportunities for<br />

self fulfillment<br />

support of<br />

family members<br />

Employment<br />

generation<br />

REASONS<br />

WOMEN<br />

BECOME<br />

ENTREPRENEURS<br />

Role model<br />

to others<br />

Freedom to take<br />

own decision and<br />

be independent<br />

Success stories<br />

of friends<br />

and relatives<br />

Government<br />

policies<br />

and procedures<br />

Bright future of<br />

their wards<br />

Family occupation<br />

Need for<br />

additional income


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REASONS FOR SLOW PROGRESS OF WOMEN ENTREPRENEURS IN INDIA<br />

The problems and constraints experienced by women entrepreneurs have resulted in restricting<br />

the expansion of women entrepreneurship. The major barriers encountered by women<br />

entrepreneurs are:<br />

• The greatest deterrent to women entrepreneurs is that they are women. A kind of<br />

patriarchal- male dominant social order is the building block to them in their way towards<br />

business success. Male members think it a big risk financing the ventures run by women<br />

• Male chauvinism is still prevalent in many parts of the country yet. Women are looked<br />

upon as ―abla‖ i.e. weak in all respects. In a male dominated society, women are not<br />

treated equal to men that act as a barrier to woman‘s entry into business.<br />

• Women entrepreneurs have to face a stiff competition with the men entrepreneurs who<br />

easily in<strong>vol</strong>ve in the promotion and development area and carry out easy marketing of<br />

their products with both the organized sector and their male counterparts. Such a<br />

competition ultimately results in the liquidation of women entrepreneurs.<br />

• Lack of self-confidence, will-power, strong mental outlook and optimistic attitude<br />

amongst women creates a fear from committing mistakes while doing their piece of work.<br />

The family members and the society are reluctant to stand beside their entrepreneurial<br />

growth.<br />

• Women in India lead a protected life. They are even less educated, economically not<br />

stable nor self-dependent which reduce their ability to bear risks and uncertainties<br />

in<strong>vol</strong>ved in a business unit,<br />

• The old and outdated social outlook to stop women from entering in the field of<br />

entrepreneurship is one of the reasons for their failure. They are under a social pressure<br />

which restrains them to prosper and achieve success in the field of entrepreneurship<br />

• Unlike men, women mobility in India is highly limited due to many reasons. A single<br />

women asking for room is still looked with suspicion. Cumbersome exercise in<strong>vol</strong>ved in<br />

starting with an enterprise coupled with officials humiliating attitude towards women<br />

compels them to give up their spirit of surviving in enterprise altogether.<br />

• Women's family obligations also bar them from becoming successful entrepreneurs in<br />

both developed and developing nations. The financial institutions discourage women<br />

entrepreneurs on the belief that they can at any time leave their business and become<br />

housewives again.<br />

• Indian women give more emphasis to family ties and relationships. Married women have<br />

to make a fine balance between business and family. The business success also depends<br />

on the support the family members extended to women in the business process and<br />

management.


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• Women‘s family and personal obligations are sometimes a great barrier for succeeding in<br />

business career. Only few women are able to manage both home and business efficiently,<br />

devoting enough time to perform all their responsibilities in priority.<br />

• The educational level and family background of husbands also influences women<br />

participation in the field of enterprise.<br />

• Absence of proper support, cooperation and back-up for women by their own family<br />

members and the outside world people force them to drop the idea of excelling in the<br />

enterprise field. They are always making many pessimistic feelings to be aroused in their<br />

minds and making them feel that family and not business is a place meant for them.<br />

• Many women take the training by attending the Entrepreneurial Development programme<br />

without an entrepreneurial bent of mind. Women who are imparted training by various<br />

institutes must be verified on account of aptitude through the tests, interviews, etc.<br />

• High production cost of some business operations adversely affects the development of<br />

women entrepreneurs. The installations of new machineries during expansion of the<br />

productive capacity and like similar factors discourage the women entrepreneurs from<br />

venturing into new areas.<br />

• Women controlled business are often small and it is not always easy for women to access<br />

the information they need regarding technology, training, innovative schemes,<br />

concessions, alternative markets, etc. Just a small percentage of women entrepreneurs<br />

avail the assistance of technology and they too remain confined to word processing<br />

software in the computer. They hardly make use of advanced software available like<br />

statistical software SAP, Accounting Package like TALLY, Animation software 3D<br />

MAX, internet, etc<br />

• Lack of awareness about the financial assistance in the form of incentives, loans, schemes<br />

etc. by the institutions in the financial sector. So the sincere efforts taken towards women<br />

entrepreneurs may not reach the entrepreneurs in rural and backward areas.<br />

• Achievement motivation of the women folk found less compared to male members. The<br />

low level of education and confidence leads to low level achievement and advancement<br />

motivation among women folk to engage in business operations and running a business<br />

concern.<br />

Apart from the above discussed problems there may occur other series of serious<br />

problems faced by women entrepreneurs as improper infrastructural facilities, high cost<br />

of production, attitude of people of society towards the women modern business outlook,<br />

low needs of enterprise. Women also tend to start business about ten years later than men,<br />

on average. Motherhood, lack of management experience, and traditional socialization<br />

has all been cited as reasons for delayed entry into entrepreneurial careers.


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SUGGESTIONS FOR THE GROWTH OF WOMEN ENTREPRENEURS<br />

Right efforts from all areas are required in the development of women entrepreneurs and their<br />

greater participation in the entrepreneurial activities. Entrepreneurship basically implies being in<br />

control of one‘s life and activities and women entrepreneurs need to be given confidence,<br />

independence, and mobility to come out of their paradoxes. The following measures are<br />

suggested to empower the women to seize various opportunities and face challenges in business.<br />

• There should be a continuous attempt to inspire, encourage, motivate and cooperate<br />

women entrepreneurs.<br />

• An Awareness programme should be conducted on a mass scale with the intention<br />

of creating awareness among women about the various areas to conduct business.<br />

• Attempts should be there to enhance the standards of education of women in<br />

general as well making effective provisions for their training, practical experience<br />

and personality development programmes, to improvise their over-all personality<br />

standards.<br />

• Organize training programmes to develop professional competencies in<br />

managerial, leadership, marketing, financial, production process, profit planning,<br />

maintaining books of accounts and other skills. This will encourage women to<br />

undertake business.<br />

• Vocational training to be extended to women community that enables them to<br />

understand the production process and production management.<br />

• Skill development to be done in women's polytechnics and industrial training<br />

institutes. Skills are put to work in training-cum-production workshops.<br />

• Educational institutes should tie up with various government and non-government<br />

agencies to assist in entrepreneurship development mainly to plan business<br />

projects.<br />

• International, National, Local trade fairs, Industrial exhibitions, seminars and<br />

conferences should be organized to help women to facilitate interaction with other<br />

women entrepreneurs.<br />

• Women in business should be offered soft loans & subsides for encouraging them<br />

into industrial activities. The financial institutions should provide more working<br />

capital assistance both for small scale venture and large scale ventures.<br />

• Making provision of micro credit system and enterprise credit system to the<br />

women entrepreneurs at local level.


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• The weaker section could raise funds through various schemes and incentives<br />

provided by the government to develop entrepreneurs in the state. E.g. the Prime<br />

ministers Rozgar Yojana, The Khadi and Rural village industries scheme, etc.<br />

• In the initial stages women entrepreneurs may face problems but they must<br />

persevere, believe in themselves and not give up mid way.<br />

• Attempts by various NGO‘s and government organizations to spread information<br />

about policies, plans and strategies on the development of women in the field of<br />

industry, trade and commerce. Women entrepreneurs should utilize the various<br />

schemes provided by the Government.<br />

• Women should try to upgrade themselves in the changing times by adapting the<br />

latest technology benefits. Women must be educated and trained constantly to<br />

acquire the skills and knowledge in all the functional areas of business<br />

management. This can facilitate women to excel in decision making process and<br />

develop a good business network<br />

• Self help groups of women entrepreneurs to mobilize resources and pooling<br />

capital funds, in order to help the women in the field of industry, trade and<br />

commerce can also play a positive role to solve this problem.<br />

• Women‘s entrepreneurship must be examined both at the individual level (i.e. the<br />

choice of becoming self-employed) and at the firm level (the performance of<br />

women owned and managed firms) in order to fully understand the differences<br />

between men‘s and women‘s entrepreneurship.<br />

• To establish all India forums to discuss the problems, grievances, <strong>issue</strong>s, and<br />

filing complaints against constraints or shortcomings towards the economic<br />

progress path of women entrepreneurs and giving suitable decisions in the favor<br />

of women entrepreneurs and taking strict stand against the policies or strategies<br />

that obstruct the path of economic development of such group of women<br />

entrepreneurs.<br />

Thus by adopting the following aforesaid measures in letter and spirit the problems associated<br />

with women can be solved. Entrepreneurship is not a bed of roses to women. Women<br />

participation in many kinds of economic activities to complement to their family income, their<br />

participation in no way reduces their family duties. The task of women has become more tedious<br />

and full of challenges. Let us all make efforts to help women rediscover her.<br />

STEPS TAKEN BY THE GOVERNMENT<br />

Development of women has been a policy objective of the government since independence.Until<br />

the 70s the concept of women‘s development was mainly welfare oriented. In 1970s, there was a<br />

shift from welfare approach to development approach that recognised the mutually reinforcing<br />

nature of the process of development. The 80s adopted a multi-disciplinary approach with an


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emphasis on three core areas of health, education and employment. Women were given priorities<br />

in all the sectors including SSI sector. Government and non government bodies have paid<br />

increasing attention to women‘s economic contribution through self employment and industrial<br />

ventures.<br />

The First Five-Year Plan (1951-56) envisaged a number of welfare measures for women.<br />

Establishment of the Central Social Welfare Board, organization of Mahila Mandals and the<br />

Community Development Programmes were a few steps in this direction.<br />

In the second Five-Year Plan (1956-61), the empowerment of women was closely linked with<br />

the overall approach of intensive agricultural development programmes.<br />

The Third and Fourth Five-Year Plans (1961-66 and 1969-74) supported female education as a<br />

major welfare measure.<br />

The Fifth Five-Year Plan (1974-79) emphasized training of women, who were in need of income<br />

and protection. This plan coincided with International Women‘s Decade and the submission of<br />

Report of the Committee on the Status of Women in India. In1976, Women‘s welfare and<br />

Development Bureau was set up under the Ministry of Social Welfare.<br />

The Sixth Five-Year Plan (1980-85) saw a definite shift from welfare to development. It<br />

recognized women‘s lack of access to resources as a critical factor impending their growth.<br />

The Seventh Five-Year Plan (1985-90) emphasized the need for gender equality and<br />

empowerment. For the first time, emphasis was placed upon qualitative aspects such as<br />

inculcation of confidence, generation of awareness with regards to rights and training in skills for<br />

better employment.<br />

The Eight Five-Year Plan (1992-97) focused on empowering women, especially at the Gross<br />

Roots Level, through Panchayati Raj Institutions.<br />

The Ninth Five-Year Plan (1997-2002) adopted a strategy of Women‘s Component Plan, under<br />

which not less than 30 percent of funds/ benefits were earmarked for women related sectors.<br />

The Tenth Five-Year Plan (2002-07) aims at empowering women through translating the<br />

recently adopted National Policy for Empowerment of Women (20<strong>01</strong>) into action and ensuring<br />

Survival, Protection and Development of women and children through rights based approach.<br />

At present, the Government of India has over 27 schemes for women operated by different<br />

departments and ministries. Some of these are:<br />

Integrated Rural Development Programme (IRDP)<br />

Khadi And Village Industries Commission (KVIC)<br />

Training of Rural Youth for Self-Employment (TRYSEM)


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Prime Minister‘s Rojgar Yojana (PMRY)<br />

Entrepreneurial Development programme (EDPs)<br />

Management Development progammes<br />

Women‘s Development Corporations (WDCs)<br />

Marketing of Non-Farm Products of Rural Women (MAHIMA)<br />

Assistance to Rural Women in Non-Farm Development (ARWIND) schemes<br />

Trade Related Entrepreneurship Assistance and Development (TREAD)<br />

Working Women‘s Forum<br />

Indira Mahila Yojana<br />

Indira Mahila Kendra<br />

Mahila Samiti Yojana<br />

Mahila Vikas Nidhi<br />

Micro Credit Scheme<br />

Rashtriya Mahila Kosh<br />

SIDBI‘s Mahila Udyam Nidhi<br />

Mahila Vikas Nidhi<br />

SBI‘s Stree Shakti Scheme<br />

NGO‘s Credit Schemes<br />

Micro & Small Enterprises Cluster Development Programmes (MSE-CDP).<br />

National Banks for Agriculture and Rural Development‘s Schemes<br />

Rajiv Gandhi Mahila Vikas Pariyojana (RGMVP)<br />

Priyadarshini Project- A programme for ‗Rural Women Empowerment and Livelihood in<br />

Mid Gangetic Plains‘<br />

NABARD- KfW-SEWA Bank project


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Exhibitions for women, under promotional package for Micro & Small enterprises<br />

approved by CCEA under marketing support<br />

The efforts of government and its different agencies are ably supplemented by NGOs that are<br />

playing an equally important role in facilitating women empowerment. Despite concerted efforts<br />

of governments and NGOs there are certain gaps. Of course we have come a long way in<br />

empowering women yet the future journey is difficult and demanding.<br />

RAJNI BECTOR: A CASE STUDY OF SUCCESSFUL WOMEN ENTERPRENEUR<br />

Cremica is one of the largest food processing companies of India with an annual growth rate of<br />

30%. The quality, the taste and the penchant for perfection is what has given the required thrust<br />

to sales. From a single plant at Phillaur, today Cremica has a number of plants situated at various<br />

locations all over India. Cremica‘s presence in the market is visible on account of its vast range<br />

of products, which include: Biscuits, Sauces, Jams and Ketchups, Indian Snacks, Ready to Eat<br />

Food, Condiments, Frozen Products and Bakery Products.<br />

A homegrown business, Cremica was founded by Mrs. Rajni Bector, who started making ice<br />

creams in her garage. Though she had no formal training or background, her recipes were a<br />

runaway success in Punjab.<br />

Rajni Bector is one of the first women entrepreneurs in Ludhiana. While she insists on being a<br />

woman entrepreneurship comes to her easily; it‘s been a long journey to success, nevertheless.<br />

Rajni Bector was just a housewife before she started selling her kitchen-made ice creams at<br />

Diwali Melas in the late 1970s. Today, Cremica group does sales of Rs.200 crore (Rs.2 billion)<br />

and is an important link in the supply chain to the fast food industry with an inventory of buns,<br />

breads, sauces, ketchups and ice creams toppings to the likes of McDonalds and syrups and<br />

mayonnaise to Barista..<br />

Below are the steps of success in which Mrs. Bector made growth in her business to be the<br />

successful women entrepreneur.<br />

‣ 1980- Mrs. Rajni Bector an arts graduate, founder of the MRS. BECTOR‘S CREMICA<br />

started her new career from a housewife to an entrepreneur with a meager investment of<br />

Rs. 20000/- for the manufacturing of Ice Creams & Bakery items from the backyard of<br />

her residence.<br />

‣ 1982-Mr. Ajay Bector her eldest son joined her to help her with the increased business<br />

<strong>vol</strong>umes.<br />

‣ 1986 : She started another unit at Ludhiana for the manufacturing of Bread and bakery<br />

biscuits with an investment of Rs. 1.00 Lac.<br />

‣ 1989 ::Mrs. Bector‘s younger sons Akshay Bector & Anoop Bector after completing their<br />

education joined the business in and a unit for manufacture of bread was established at<br />

Phillaur near Ludhiana for the manufacture of 50000 loaves of bread per day.


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‣ 1991: Mrs. Bector started another fully automated unit for the manufacture of Biscuits at<br />

Phillaur with a capacity of 7200 M.T. of Biscuits per annum with an investment of<br />

Rs.75.00 Lacs.<br />

‣ 1992:Mrs. Bector‘s Cremica established a manufacturing facility for confectionery items<br />

followed by a unit for the manufacture of Namkeens.<br />

‣ 1997: By seeing the quality of the products being manufactured McDonalds approached<br />

Mrs. Bector for supplies of various products i.e. buns, liquid products and batters &<br />

breading. This was a golden opportunity for the Bector Family and the family entered<br />

into various Joint ventures so that <strong>international</strong> expertise could help them produce<br />

<strong>international</strong> level products compared to the best in the world.<br />

‣ 2002: A modern Bun Manufacturing facility manufacturing over 150000 Buns per shift<br />

was established at greater Noida for supplies to McDonalds. This is one of the most<br />

modern units of its type in the country.<br />

‣ 2003: A foray was made into Fresh Vegetable Processing and a modern facility for<br />

processing of fresh vegetables like lettuce, cut vegetables etc for supplies to McDonalds<br />

was made at an investment of Rs. 15.00 Million.<br />

‣ 2004: Mrs. Bector‘s Cremica entering into an Agreement with ITC Ltd. for the<br />

manufacture of Biscuits on contract manufacturing basis at Tahliwal, Distt Una (H.P.). A<br />

state of the art facility was established for the manufacture of 60000 M.T. of biscuits at a<br />

cost of over Rs. 25.00 Crores producing biscuits valued at over Rs. 200 Crores P.A. This<br />

unit produces 30000 M.T. of biscuits for ITC under the SUNFEAST BRAND and 30000<br />

M.T. under the Mrs. Bector‘s Cremica label.<br />

The Group also entered in to an agreement with Cadbury India Ltd. for supply of<br />

Cadbury Bytes with an investment of Rs. 3.00 Crores producing goods valued at Rs.<br />

30.00 Crores annually.<br />

‣ 2007 :The Group was offered an opportunity for Equity participation by Goldman Sachs.<br />

The liquid products & biscuit operations were valued by Goldman Sachs at Rs. 500.00<br />

Crores. The group offered Goldman Sachs 15% equity for Rs. 75.00 Crores to help speed<br />

up its expansions with the equity infusion.<br />

McDonalds offered Mrs. Bector the bun business for West & South India and a new<br />

state of the art unit was established at Taloja, Navi Mumbai.<br />

Mrs. Bector acquired a unit at Karnal, Haryana for the manufacture of Indian<br />

Namkeens.<br />

The group has acquired new industrial sites at Ludhiana (Punjab), Kundli (Haryana),<br />

Raigad (Maharastra) & Pune in Maharastra for further expansions.


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Her mantra of success, ―Just remember that work is worship — whatever you do, be it at home<br />

or outside, treat it respectfully.‖<br />

CONCLUSION<br />

It can be said that today we are in a better position wherein women participation in the field of<br />

entrepreneurship is increasing at a considerable rate. Efforts are being taken at the economy as<br />

brought promise of equality of opportunity in all spheres to the Indian women and laws<br />

guaranteed equal rights of participation in political process and equal opportunities and rights in<br />

education and employment were enacted. But unfortunately, the government sponsored<br />

development activities have benefited only a small section of women i.e. the urban middle class<br />

women. Women sector occupies nearly 45% of the Indian population. At this juncture, effective<br />

steps are needed to provide entrepreneurial awareness, orientation and skill development<br />

programs to women. The role of Women entrepreneur in economic development is also being<br />

recognized and steps are being taken to promote women entrepreneurship. Resurgence of<br />

entrepreneurship is the need of the hour emphasizing on educating women strata of population,<br />

spreading awareness and consciousness amongst women to outshine in the enterprise field,<br />

making them realize their strengths, and important position in the society and the great<br />

contribution they can make for their industry as well as the entire economy. Women<br />

entrepreneurship must be moulded properly with entrepreneurial traits and skills to meet the<br />

changes in trends, challenges global markets and also be competent enough to sustain and strive<br />

for excellence in the entrepreneurial arena. If every citizen works with such an attitude towards<br />

respecting the important position occupied by women in society and understanding their vital<br />

role in the modern business field too, then very soon we can pre-estimate our chances of out<br />

beating our own conservative and rigid thought process which is the biggest barrier in our<br />

country‘s development process.<br />

We always viewed that a smart woman can pick up a job any day, but if she becomes an<br />

entrepreneur she can provide a livelihood to 10 more women at least..!! Highly educated,<br />

technically sound and professionally qualified women should be encouraged for managing their<br />

own business, rather than dependent on wage employment outlets. The unexplored talents of<br />

young women can be identified, trained and used for various types of industries to increase the<br />

productivity in the industrial sector.<br />

REFERENCES<br />

Arora, R.;and Sood, S.K.(20<strong>05</strong>), ―Fundamentals of Enterpreneurship and Small Business‖<br />

Baporikar, N. (2007) Entrepreneurship Development & Project Management- Himalaya<br />

Publication House.<br />

Brush, C. (1997). Taori ,Dr. Kamal - Entrepreneurship in the Decentralised Sector Women-<br />

Owned Businesses: Obstacles and Opportunities, Journal of Developmental Entrepreneurship.<br />

Desai, V: (1996) Dynamics of Entrepreneurial & Development & Management Himalaya<br />

publishing House - Fourth Edition, Reprint.


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Dhameja S K (2002), Women Entrepreneurs: Opportunities, Performance and Problems, Deep<br />

Publisher (P) Ltd., New Delhi.<br />

Gordon E. & Natarajan K.: (2007) Entrepreneurship Development – Himalaya Publication<br />

House, Second Revised edition.<br />

Hattangadi Dr. Vidya: (2007) Entrepreneurship – Need of the hour, Himalaya Publication House,<br />

First edition.Schemes and Programmes of Ministry of Small Scale Industries and Ministry of<br />

Agro & Rural Industries, Govt. of India Kalyani Publishers.<br />

Kumar, A. (2004), "Financing Pattern of Enterprises Owned by Women Entrepreneurs", The<br />

Indian Journal of Commerce, Vol. 57, No. 2.<br />

Mahanty Sangram Keshari – Fundamentals of Entrepreneurship – Prentice Hall of India<br />

Raheem A (2006), "Role of SHGs", Yojana, Vol. 50, No. 12.<br />

Renuka V. (20<strong>01</strong>) Opportunities and challenges for women in business, India Together, Online<br />

Report, Civil Society Information Exchange Pvt. Ltd.<br />

WEBSITES<br />

info@ijrcm.org.in accessed on 19 April 2<strong>01</strong>1<br />

www. Smallindustryindia.com accessed on 4 April 2<strong>01</strong>1<br />

www.dcmsme.gov.in/schemes/Schemes for the development and promotion of women<br />

entrepreneurs. PDF accessed on 4 April 2<strong>01</strong>1<br />

www.ghallabhansali.com accessed on 4 April 2<strong>01</strong>1<br />

www.icfai<strong>journal</strong>s.com accessed on 4 April 2<strong>01</strong>1<br />

www.imer.com accessed on 7 April 2<strong>01</strong>1<br />

www.ludhianadistrict.com/articles/article1184678891.html accessed on 20 April 2<strong>01</strong>1<br />

www.ludhianadistrict.com/personality/rajni-bector.php accessed on 20 April 2<strong>01</strong>1<br />

www.nawbo.org. "About NAWBO" National Association of Women Business Owners accessed<br />

on 2 April 2<strong>01</strong>1<br />

www.newsweek.com/2<strong>01</strong>0/07/06/women-will-rule-the-world. accessed on 20 April 2<strong>01</strong>1<br />

www.referenceforbusiness.com/small/Sm-Z/Women-Entrepreneurs.html accessed on 20 April<br />

2<strong>01</strong>1<br />

www.udyogini.org accessed on 2 April 2<strong>01</strong>1


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FEMININE SURVIVAL: A COGNITIVE ASSESSMENT OF THE LEGAL<br />

REGIME IN INTERNATIONAL HUMANITARIAN LAW<br />

ABSTRACT<br />

GAURAV ARORA*; SUPRITHA PRODATURI**<br />

*Student, Rajiv Gandhi National University of Law,<br />

Patiala, Punjab, India.<br />

**Student, Rajiv Gandhi National University of Law,<br />

Patiala, Punjab, India.<br />

As name suggests this piece of writing reflects the theoretical deficiencies that exist in the legal<br />

regime of humanitarian law and does not contain a detailed description and critique of all the<br />

existing rules of the law of armed conflict that relate specifically to the protection of women,<br />

such as those that provide special protection for pregnant women and against rape. The argument<br />

of this article is that the existing provisions are totally inadequate. It has been accepted that<br />

provisions for special protection do exist in the legal regime of IHL but they reflect male<br />

perspective and have very little to do with how female see it. The aim of this article is also to<br />

extend the critique of human rights law by feminist scholars to humanitarian law. At the end<br />

paying heed to the ongoing important work of the ICRC, a modest proposal for reform i.e. a<br />

protocol to protect women in times of armed conflict has been put forward.<br />

KEYWORDS: Atrocities to women in warfare; Dominant Male Perspective; Inadequate Legal<br />

Regime; Reforms Proposed; Role of ICRC.<br />

INTRODUCTION<br />

IHL takes a particular male perspective on armed conflict, as a norm against which to measure<br />

equality. In a world where women are not equals of men, and armed conflict impacts upon men<br />

and women in a fundamentally different way, a general category of rules that is not inclusive of<br />

the reality for women cannot respond to their situation .A number of feminist academics<br />

increasingly maintain that <strong>international</strong> humanitarian law (IHL) continues to fail women. This is<br />

because IHL has not responded adequately to women’s experiences (Colletta et al., 20<strong>01</strong>). The<br />

opinion of the experts around the globe regarding the quality of <strong>international</strong> humanitarian<br />

law’s provisions for the protection of women diverges. Some are of the view that the existing<br />

provisions of the IHL are adequate whereas some jurists like Judith G. Gardam consider that the<br />

provisions are totally inadequate. For example, Judith Gardam and Michelle Jarvis concluded<br />

that, “It is apparent from a comparison between the reality of armed conflict for women and the<br />

existing relevant norms of <strong>international</strong> law, that the latter are inadequate” (Gardam & Javis,<br />

20<strong>01</strong>). And a number of contemporary feminist critics have also suggested that some aspects of<br />

the IHL rules regarding women are archaic and reflect the very stereotypical ideas about women<br />

that perpetuate discrimination (Benounce, 2006). These views suggest that implementation of<br />

present IHL through <strong>international</strong> criminal courts alone, though an important step, may not


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entirely remedy the problem. Instead, perhaps something must be done to modernize IHL, itself,<br />

in light of advances in understanding violence against women in conflict, especially those<br />

advances made in <strong>international</strong> human rights standards (Doswald – Beck & Vite, 2004).<br />

But the International Committee of the Red Cross (ICRC), which was recognized in the Geneva<br />

Conventions as the guardian of IHL, is of the opinion that sufficient rules exist in IHL to prevent<br />

violence against women in armed conflict and the real problem exist in the failure to implement<br />

this law. According to the ICRC, “If women have to bear so many of the tragic effects of<br />

conflict, it is not because of any shortcomings in the rules protecting them, but because those<br />

rules are not observed” (Benounce, 2006) . ICRC has always accused the governments of<br />

different countries for not observing the rules of IHL and has repeatedly been persuading the<br />

countries to respect and implement the existing norms. As according to Francoise Krill, “If<br />

women in real life are not always protected as they should be, it is not due to the lack of a legal<br />

basis. The <strong>international</strong> community will not succeed in remedying this situation merely by<br />

adopting new rules. Most of all, it must see that the rules already in force are respected” (Krill,<br />

1985). Hence, we can see there are different views regarding the existing provisions of IHL for<br />

the protection women. Nonetheless, there is any dearth of evils inflicted upon women in warfare<br />

when there exists some theoretical flaws in the existing legal regime which has further led to the<br />

continuous suffering of women in the armed conflict.<br />

HARMS TO WOMEN IN WARFARE<br />

Women experience warfare differently from men. This is because the women suffer violence<br />

which may be socially invisible. The <strong>international</strong> community has formally acknowledged in<br />

Security Council Resolution that “civilians, particularly women and children, account for the<br />

vast majority of those adversely affected by armed conflict, including as refugees and internally<br />

displaced persons, and increasingly are targeted by combatants and armed elements”. Though<br />

there is not enough information to support this view as traditionally men used to compile the data<br />

and inevitably treat women under the rubric of (male) civilians (Gardam, 1997) but still statistics<br />

on sexual violence against women in warfare are easily available which proves this beyond<br />

reasonable doubt. The centuries old sufferings of women thus remains hidden. It is no<br />

coincidence that there has been a marked difference in the coverage of the Yugoslav conflict due<br />

to the increased number of women reporters in that war.<br />

Generally, Women are not directly in<strong>vol</strong>ved in warfare. The main actors in times of armed<br />

struggle are combatants, who are predominantly male. According to Boutros- Boutros, women,<br />

however, are arguably the major victims of warfare. The sexual violence of women during and<br />

after warfare is a settled fact and well documented. The atrocities on women in the former<br />

Yugoslavia are by no mean a new phenomenon. Forced impregnation, forced maternity, forced<br />

termination of pregnancy are specific violations that affect women and girls (Lindsey, 20<strong>01</strong>).<br />

Forcible prostitution has also been regarded as an inevitable and settled practice in such times.<br />

Rape in warfare crosses all cultural boundaries and has been consistently unreported and<br />

unrecorded, although it has resulted in death and suffering for countless women over the years<br />

(Chinkin, 1994).


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HARMS OTHER THAN SEXUAL VIOLENCE<br />

Although sexual abuse is the most noticeable area in which women suffer during warfare, this is<br />

just one aspect of their experience. Violence against women in war is widespread, often<br />

systematic, multi-faceted, and heinous. Other distinctive ways in which warfare impacts on<br />

women are, however, less easily identified as they are rarely the focus of attention, unlike the<br />

treatment of combatants(Gardam, 1997).The forms of gender-based abuse of women and girls in<br />

armed conflict that are most frequently documented in literature include: (Benounce, 2006) rape;<br />

sexual abuse and assault; deliberate infection with HIV/AIDS; pornography and recording of<br />

sexual violence; sexual mutilation; medical experimentation on sexual and reproductive organs;<br />

enslavement and sexual slavery; forced marriages or cohabitation; pregnancy complications,<br />

birth defects, and sterility following exposure to toxic or prohibited weapons; gender based<br />

forms of arbitrary detention and de facto arbitrary detention; forced impregnation; forced<br />

pregnancy and abortion; enforced sterilization; strip-searching, forced public nudity, and sexual<br />

humiliation; forced veiling or unveiling; trafficking in women and girls; enforced prostitution;<br />

failure to grant refugee status for gender-based harms. ICRC has further addressed the need of<br />

personal safety of women in armed conflict which encompasses safety from dangers, acts of<br />

violence or threats thereof against members of the civilian population not or no longer taking a<br />

direct part in hostilities (Lindsey-Curlet et al., 2004).<br />

There are still other types of abuses prevalent during warfare like the detention of women in<br />

conditions designed for men or without the presence of female guards and the deprivation of<br />

economic, social, and cultural rights in conflict situations has a particular impact on women. This<br />

includes: house destruction, demolition, and expropriation; property destruction and<br />

confiscation; denial and withholding of humanitarian assistance etc. Are these not for the part of<br />

violence or these are mere side effects of war? If we go by the recent human rights instrument to<br />

combat violence against women, it takes a broad approach to defining violence against women<br />

and might include the abuses against women listed above. So if ICRC has given this name of<br />

<strong>international</strong> humanitarian law to the law of armed conflict then it must cater to the requirements<br />

that its name demands and all the above listed violence should form a part of subject matter in<br />

IHL. The human rights perspective of IHL will help in better understanding the harms done to<br />

women or advocating the rights of women in warfare.<br />

HUMAN RIGHTS VS. THE LAW OF ARMED CONFLICT<br />

Although human rights law and the law of armed conflict have much in common, they also differ<br />

in significant aspects. The primarily focus of human rights has been on conferring rights on<br />

individuals and to protect them from arbitrary actions by the State where as the law of armed<br />

conflict, as traditionally known primarily confers rights on States that are designed to further<br />

military efficiency (Jochnick & Normand, 1994). Or in simple words, human rights law may<br />

have more to offer in civil conflicts than the law of armed conflict. Thus, although “<strong>international</strong><br />

humanitarian law” is the preferred term of the ICRC to describe the law of armed conflict, it is<br />

misleading to the extent that it conveys an impression that these rules are based on purely<br />

humanitarian considerations. This is one of the reasons for the preference of writers for the term<br />

the law of armed conflict or the law of war, rather than humanitarian law. Some writers have<br />

gone as far as to claim that “the laws of war have been formulated deliberately to privilege


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military necessity at the cost of humanitarian values” (Jochnick & Normand, 1994). Moreover it<br />

is not state but military who primarily determine the extent to which warfare is regulated. To<br />

illustrate the power of the military in determining what the law will be, one has to consider their<br />

role in the law-making processes.<br />

A study of the development of the law of armed conflict reveals that the military have<br />

traditionally supported rules protecting combatants, such as the prohibition of weapons causing<br />

unnecessary suffering and the extremely detailed provisions protecting prisoners of war. These<br />

rules may appear humanitarian in nature but they in fact serve other interests (Jochnick &<br />

Normand, 1994). By contrast, there is no obvious military advantage to be gained in protecting<br />

civilians or women in fact quite often the reverse (Keen, 1965). So the ends of IHL are met by<br />

the so called “military necessity” not the humanitarian aspect.<br />

Feminists’ theoretical insights of the regime of human rights have a great deal to offer to a study<br />

of the law of armed conflict. Working on the western liberal ideals one of their major tasks has<br />

been to identify features of the existing legal regime of human rights that take no account of the<br />

realities of women’s lives. International law itself is a system of law developed by Western<br />

States and one would expect to find within its structures, evidence of the influence of the<br />

public/private distinction, and one does. The gendered aspects of the public/private distinction<br />

appear alive and well in the rules of <strong>international</strong> law, both creating and reinforcing the unequal<br />

protections offered to women by human rights law (Charlesworth et al., 1991).<br />

INADEQUACIES IN THE EXISTING LEGAL REGIME<br />

IHL in many ways represents a tremendous legal achievement as an <strong>international</strong> consensus on<br />

limiting the methods and means of warfare designed to minimize the suffering caused. Before<br />

discussing the minutes of the existing provisions of IHL related to the protection of women one<br />

must know that the core of conventional IHL is comprised of the Four Geneva Conventions<br />

adopted in 1949 and their two Additional Protocols adopted in 1977. The Geneva Conventions of<br />

1949 and their two Additional Protocols mark a watershed in the codification and development<br />

of <strong>international</strong> humanitarian law (Dixit, 2002). It has only been since the early 1990s that<br />

<strong>international</strong> human rights standards have begun to address violence against women seriously.<br />

Speaking on the theoretical lines, women are at same footing as men are in the general<br />

protections offered by IHL, including those shielding the wounded, combatants, and persons<br />

detained in connection with an armed conflict. However, in addition to the general provisions of<br />

IHL, there are some rules that are gender-specific. According to the ICRC, of the five hundred<br />

and sixty articles comprising the law of Geneva, approximately fifty provisions from the<br />

Conventions and Protocols deal with non-discrimination or otherwise provide “special protection<br />

for women”(Krill, 1985). On the other hand of some 34 provisions ostensibly providing<br />

safeguards for women, a closer inspection reveals that 19 of them are intended primarily to<br />

protect children. In the light of current understanding of women’s human rights, there is a fair<br />

amount to criticize, particularly in some of the unfortunate wording to be found in the<br />

Commentary on the key texts (Bennounce, 2006).


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BALANCE BETWEEN COMBATANTS AND CIVILIANS<br />

As evident from the names of the Four Geneva Conventions in the footnote, each of the treaties<br />

noted has a somewhat different focus. Women and girls do sometimes serve as combatants, a<br />

growing reality which must not be overlooked. However, they mostly fit into the category of<br />

civilians. Thus, the Fourth Geneva Convention, and the analogous provisions relating to internal<br />

armed conflict are particularly relevant to them. With the exception of Common Article 3 of<br />

the Geneva Conventions, the four Conventions relate exclusively to <strong>international</strong> armed conflict.<br />

Less protection is afforded in internal conflict which is covered only by Common Article 3 and<br />

Protocol II. This distinction has been likened by some feminist scholars to the lower level of<br />

protection offered by classical interpretations of human rights law for harms in the “private”<br />

sphere.<br />

The preference given to the protection of the predominantly male combatant by the regime of the<br />

law of armed conflict can be illustrated in a number of ways. For example, there are far more<br />

rules protecting combatants than non-combatants (Gardam, 1993). Moreover, many of the<br />

situations that require legal constraints are specific to combatants, such as the treatment of<br />

prisoners of war, wounded and sick in the field, and weapons causing unnecessary suffering. In<br />

this context the defects of the system from the perspective of women lies not so much in the fact<br />

that there are more rules protecting combatants, or even that their breach is taken more seriously,<br />

but in the balance within the rules themselves.<br />

This argument that the system has an inbuilt balance in favour of combatants can be<br />

demonstrated by considering one of the fundamental principles of this system, the principle of<br />

proportionality. This principle is the basis of the rules prohibiting the indiscriminate use of force<br />

and is intended to provide significant protections to civilians. However, it has failed in this task.<br />

For example, the treaty rule of proportionality in Article 51(5) of Protocol I to the Geneva<br />

Conventions says “which may be expected to cause incidental loss of civilian life, injury to<br />

civilians, damage to civilian objects, or a combination thereof, which would be excessive in<br />

relation to the concrete and direct military advantage anticipated” (Gardam,1993). The words<br />

“incidental” and “excessive” require assessments to be made(Wallikhanna, 2004) that will in<br />

many cases in<strong>vol</strong>ve a relative judgment about the value of lives, a conclusion that must<br />

inevitably reflect the priorities of the decision by military men.<br />

GENDER INSUFFICIENCIES WITH REGARD TO CIVILIANS<br />

The legal regime of IHL is inadequate in recognizing that women being part of civilians<br />

experience warfare differently from men. This can be illustrated by the approach taken to the<br />

regulation of sexual violence against women in warfare, such as the failure of the law to specify<br />

in any detail the requirements for safeguarding women’s reproductive health in either the Third<br />

Geneva Convention dealing with prisoners of war or the Fourth Geneva Convention dealing with<br />

persons in occupied territories, although both these documents contain comprehensive provisions<br />

in relation to health generally.<br />

It was not until 1949 that the first attempts were made specifically to outlaw rape (Brouwer,<br />

20<strong>05</strong>). However, the topic was dealt with in a way that clearly reflects how rape in warfare is


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perceived by men, not its actual reality for women. Article 27(2) of the Fourth Geneva<br />

Convention requires that “Women shall be especially protected against any attack on their<br />

honour, in particular against rape, enforced prostitution, or any form of indecent assault.” It<br />

specifies rape as an attack on women’s honour. Such an approach has a great deal to do with a<br />

male view of rape and very little to do with how women see it (Chinkin, 1994). Women<br />

experience rape as torture and it should be recognised as such by the legal regime. Secondly the<br />

word used in the above-mentioned article is “protected” instead of “prohibited”. Rape is regarded<br />

as one of the worst practices of armed conflict; the law has not always shared this perception<br />

which can be seen in the bare wording of the articles of Geneva Conventions and their protocols.<br />

Finally, special treatment is given to pregnant women whether they are pregnant when taken<br />

prisoner, how can they become pregnant in custody despite the precautions taken. So one side<br />

they are protecting the interests of women and on the other hand leaving a scope for harms to be<br />

done even in the custody.<br />

Sexual violence in warfare is the most obvious distinctive experience of women in armed<br />

conflict; it is not something that they experience to any degree in common with civilians<br />

generally, it results in immense suffering and trauma, unrelated to any arguments as to military<br />

necessity, and is almost universal in all types of warfare. The law, however, does not reflect that<br />

reality so thinking about the protection of those categories of violence which are still considered<br />

by the <strong>international</strong> community under the private domain of human rights is a distant dream.<br />

REDEFINING THE FUTURE<br />

In this piece of writing the stress is on the critique of theoretical gender deficiencies that exist in<br />

the legal regime of IHL, so the conclusion is also based on redressing the same. Feminist critics<br />

of <strong>international</strong> humanitarian law suggest several possible strategies to address the gender<br />

deficiencies that they identify in IHL like law reform through new treaties or other <strong>international</strong><br />

standards on women and armed conflict, or written reinterpretation of existing provisions in the<br />

legal regime.<br />

It is indisputable that the existing provisions of the law of armed conflict are designed primarily<br />

to protect combatants and that those for the protection of civilians fail to recognise the different<br />

needs of women in times of armed conflict. One possible way out for the problems that have<br />

been identified in this piece of writing can be that rather than having a new protocol to protect<br />

women in times of armed conflict, it would be better that all the conventions are redrafted with<br />

an updated perspective on gender. The problem is not with the nature of the Four Geneva<br />

Conventions and their Additional Protocols. They do include special provisions that offer<br />

additional protection for women in warfare but the problem lies in the way they have been<br />

drafted. As has already been discussed it essentially reflects the male perspective and has ignored<br />

feminist viewpoint. So the need is not to have new conventions at the <strong>international</strong> arena but to<br />

redraft the existing provisions.<br />

Going by the domestic experience of different countries while protecting the rights of women<br />

where they have drafted separate legislations focusing entirely on the protection of different<br />

interests of women, the other possible way is having an additional protocol focusing only on the<br />

protection of women in warfare. But the question is what would this protocol cover? Firstly, in


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the context of the sexual abuse of women, the legal position in relation to rape needs to be put<br />

beyond doubt. The words like “protection”, “honour” need to be omitted and the language of the<br />

articles should be such that it creates terror in the minds of those who commit these crimes.<br />

Moreover, there are many other aspects to women’s experience of sexual violence in armed<br />

conflict on which the law is silent. The language in which these provisions are drafted also<br />

continues to present a picture of women that is outdated and out of keeping with modern<br />

perceptions of women as individuals in their own right. From this perspective the rules<br />

protecting women against sexual violence must mirror those that regulate the torture and<br />

mistreatment of men and sexual violence in any form should not only be protected but<br />

prohibited.<br />

As dealt in the preceding text, sexual violence is not the only area of women’s experience of<br />

armed conflict that needs to be addressed. As ICRC has preferred the term “<strong>international</strong><br />

humanitarian law” to describe the law of armed conflict, it would be the obligation of new<br />

protocol to stand by this name and should address every possible human violation of women in<br />

warfare. A comprehensive approach like this is required which can protect the interest of women<br />

in the regime of IHL in a better way.<br />

As far as the balance between the combatants and civilians is concerned, it is immature to expect<br />

a sudden shift in the priority given to the protection of the combatant in the law of armed conflict<br />

without a successful challenge to the doctrine of military necessity and what it represents. The<br />

question is not regarding ignoring the protection to the combatants but a balance that needs to be<br />

there in these two interests. The opinion may differ among the different theorists regarding<br />

having a new protocol for the protection of women in warfare or to redraft the existing<br />

provisions but the time has come for a Protocol to the Geneva Conventions to Protect Women in<br />

Times of Armed Conflict. But today it would be difficult to achieve a consensus on text like this<br />

each only a little more than a decade old. Thus, reopening the basic principles of the existing<br />

texts in this vital area of law by drafting a new instrument is a high stakes project. Also,<br />

tremendous resources would be needed to make such a document a reality.<br />

For achieving all these goals the commentaries of ICRC can be very helpful as these<br />

commentaries touch every angle of the legal regime of IHL. Apart from the operational help that<br />

ICRC has provided to the victims of sexual violence (Lindsey, 20<strong>01</strong>), it can play a big role for<br />

advocating and protecting the rights of women. In the recent past theorists like Gardam and<br />

Jarvis have criticized the methods employed by the ICRC to address the suffering of women, and<br />

indeed the patriarchal nature of the institution itself. Whilst acknowledging a recent “sea change”<br />

within the ICRC in its approach to this <strong>issue</strong>, they still feel that the ICRC has done too little too<br />

late and is institutionally not able to tackle deeply with the inherent complexities of a gender<br />

perspective. The ICRC, like any other part of the humanitarian community, must constantly<br />

reconsider its capacity to incorporate gender <strong>issue</strong>s into its operational work. The pledge made at<br />

the 27 th International Conference, specifically addressing the <strong>issue</strong> of women and armed conflict,<br />

and the Women and War project are obvious examples of an institution seriously committed to<br />

reducing the suffering of women. The ICRC’s Women Facing War study, which resulted from<br />

the Women and War project, is far more than an academic piece of literature.


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Honest and righteous efforts must be made to bring the advances made in the area of women’s<br />

human rights to bear on the mainstream of IHL. Paying heed to the ongoing important work of<br />

the ICRC, any such efforts undertaken must be balanced with a significant emphasis on full and<br />

universal implementation of existing rules of IHL. Despite deficiencies in the overall framework,<br />

this might still go a long way toward greater protection for women in conflict. We must<br />

understand that everything is no more fairer in war and when it comes to protection of fairer sex,<br />

we do need to have fair laws to ensure their protection.<br />

REFERENCES<br />

BOOKS<br />

Brouwer, Anne-Marie de (20<strong>05</strong>), Supranational Criminal Prosecution of Sexual<br />

Violence: the ICC and the Practice of the ICTY and the ICTR, Intersentia, Belgium,<br />

p.103.<br />

Brownmiller, Susan (1975), Against our Will: Men, Women and Rape, Simon and<br />

Schuster, New York,p.51 .<br />

Colletta, Nat J. et.al. (20<strong>01</strong>), Social Cohesion and Conflict Prevention in Asia: Managing<br />

Diversity through Development ,World Bank Publications, United States,p.118.<br />

Gardam, J. & Jarvis, M. (20<strong>01</strong>), Women, Armed Conflict and International Law, Kluwer<br />

Law International, The Hague, p.93.<br />

Gardam, Judith G. (1993), Non-Combatant Immunity as a Norm of International<br />

Humanitarian Law, Martinus Nijhoff Publishers, The Hague, p.67.<br />

Keen, Maurice (1965), The Laws of War in the Late Middle Ages, Routledge & K.Paul,<br />

London.<br />

Lindsey, Charlotte (20<strong>01</strong>), Women facing war, ICRC, Geneva, p.51.<br />

Lindsey-Curlet, Charlotte et.al.(2004), Addressing the needs of Women Affected by<br />

Armed Conflict, ICRC, Geneva,p.17.<br />

WaliKhanna, Charu (2004), Women, Silent Victims in Armed Conflict: An Area Study<br />

of Jammu & Kashmir, Serials Publications, India, p.140 .<br />

ARTICLES<br />

Chris af Jochnik and Roger Normand (1994), The Legitimation of Violence: A Critical<br />

History of the Laws of War, Harvard Law Journal, Vol. 35, p.49.<br />

Christine Chinkin (1994), Rape and Sexual Abuse of Women in International Law,<br />

E.J.I.L, Vol. 53, p.26.


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Francoise Krill (1985), The Protection of Women in International Humanitarian Law,<br />

International Review of Red Cross, Vol. 249, p.337.<br />

Hilary Charlesworth, Christine Chinkin and Shelley Wright (1991), Feminist Approaches<br />

to International Law, A.J.I.L., Vol. 85, p. 613 .<br />

Judith G. Gardam (1993), Gender and Non-Combatant Immunity, Trans.L. & Contemp.<br />

Problems, Vol. 3, p. 345 .<br />

Judith G. Gardam (1993), Proportionality and Force in International Law,<br />

A.J.I.L.,Vol.87, p.391.<br />

Judith G. Gardam(1997), Women and the Law of Armed Conflict: Why the Silence,<br />

46(1) I.C.L.Q., Vol. 46(1), p.55<br />

Judith Gardam & Michelle Jarvis (2000), Women and Armed Conflict: The International<br />

Response to the Beijing Platform for Action, Colum. Hum. Rts. L. Rev., Vol.32, p.1 .<br />

Karima Bennoune (2004), Toward a Human Rights Approach to Armed Conflict: Iraq<br />

2003, U.C. DAVIS J. Int’l L. & POL’Y, Vol. 11, p.171<br />

Karima Bennoune (2006), Do we need New International Law to protect women in<br />

Armed Conflict?, Case W. Res. J. Int’l L., Vol.38, p.363.<br />

Louise Doswald-Beck & Sylvain Vite (1993), International Humanitarian Law and<br />

Human Rights Law, Int’l Rev. Red Cross Vol. 293, p.94.<br />

R.K. Dixit, Special Protection of Women during armed conflicts under the Geneva<br />

Conventions Regime (2002), ISIL Yearbook of International Humanitarian and Refugee<br />

Law, Vol.2, p.147.


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ABSTRACT<br />

EXPLORING THE BENEFITS OF MICROFINANCE<br />

ORGANISATIONS FOR POVERTY ALLEVIATION<br />

(A RESEARCH STUDY CONDUCTED IN PUNJAB)<br />

MANISHA SHARMA*; VISHAL SARIN**<br />

*Assistant Professor, Department of Commerce,<br />

A.P.J. College of Fine Arts, Jalandhar, Punjab.<br />

**Assistant Professor, Lovely Honors School of Business,<br />

Lovely Professional University, Phagwara, Punjab.<br />

This study is based upon the role of microfinance organizations in poverty alleviation. The study<br />

focuses on the identification of critical factors responsible for poverty and extent to which<br />

Microfinance organizations have helped in alleviating poverty. First of all meaning of poverty is<br />

ascertained and then factor analysis is used to bring out the factors which the clients or members<br />

feel that microfinance organizations are offering. Poverty is caused due to lack of finance and<br />

increased in credit can help people to provide other basic facilities. Microfinance organization<br />

facilitates access to credit which enables the poor to earn their livelihood. The factors include<br />

financial upliftment, women empowerment, empowerment, social upliftment, health, education<br />

and housing. Factor analysis is used to determine the critical order of significance on 26<br />

weighted factors.<br />

So the efforts of microfinance should be focused on seven identified factors. The study also<br />

analyses the reasons for joining Microfinance organizations.<br />

KEYWORDS: Empowerment, Factors, Poverty alleviation, Microfinance organization.<br />

INTRODUCTION<br />

Poverty is a condition characterized by severe deprivation of basic human needs. It depends not<br />

only on income but also on access to services. It includes a lack of income and productive<br />

resources to ensure sustainable livelihoods; hunger and malnutrition; ill health; limited or lack of<br />

access to education and other basic services; increased morbidity and mortality from illness;<br />

homelessness and inadequate housing; unsafe environments and social discrimination and<br />

exclusion.<br />

Englama and Bamidele (1997) aptly summarized the definition of poverty, in both<br />

absolute and relative terms as a state where an individual is not able to cater adequately for<br />

his/her basic needs of food, clothing and shelter, meet social and economic obligations; lacks<br />

gainful employment, skills, assets and self-esteem; and has limited access to social and economic<br />

infrastructures. In other words, the poor lacks basic infrastructure such as education, health,<br />

potable water, and sanitation, and as a result has limited chance of advancing his/her welfare to


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the limit of his/her limited access to social and economic infrastructures‖. In other words, the<br />

poor lacks capabilities.<br />

The history of poverty alleviation and microfinance are extricable interwoven.<br />

Microfinance has globally emerged as a major policy tool for eradication of poverty. To achieve<br />

the objective of poverty alleviation the stance of policy on micro credit was to ensure that<br />

sufficient and timely credit was reached as expeditiously as possible as large a segment of<br />

population at reasonable rates of interest. While there is no question that the poorest can benefit<br />

from primary health care and from basic education, it is not as intuitive that they can also benefit<br />

from microfinance, or that microfinance is an appropriate tool by which to reach the Millennium<br />

goals.<br />

The microfinance sector can be classified into two parts:<br />

1. The formal sector<br />

2. Informal sector<br />

Formal sector mainly concern with middle and lower level but now they are participating<br />

in the micro credit.It includes NABARD,RBI,Commercial Banks,Cooperative Banks.<br />

The informal financial sources generally include funds available from family sources or<br />

local money lenders. The local money lenders charge exhorbitant rates, generally ranging from<br />

36% to 60% interest due to their monopoly in the absence of any other source of credit for nonconventional<br />

needs. Chit Funds and Bishis are other forms of credit system operated by groups<br />

of people for their mutual benefit which however their own limitations have.<br />

Now a days SHG-BANK linkage model is becoming more popular.<br />

NABARD conducted a series of research studies independently and in association with<br />

MYRADA, a leading non-governmental organization (NGO) from Southern India, which<br />

showed that despite having a wide network of rural bank branches servicing the rural poor, a<br />

very large number of the poorest of the poor continued to remain outside the fold of the formal<br />

banking system. These studies also showed that the existing banking policies, systems and<br />

procedures, and deposit and loan products were perhaps not well suited to meet the most<br />

immediate needs of the poor. It also appeared that what the poor really needed was better access<br />

to these services and products, rather than cheap subsidized credit.To analyse the impact of<br />

MFI,s a survey has been conducted.<br />

LITERATURE OF REVIEW<br />

Godwin Chigozie Okpara in ―MICROFINANCE BANKS AND POVERTY<br />

ALLEVIATION IN NIGERIA‖ used factor analysis for identifying reasons of poverty and<br />

extent to which microfinance institutions are helpful. The result of the analysis identifies five<br />

factors: low profit, prices of commodities are too high, hard economic times, lack of finance to


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start or expend their business, and business not doing well, as critical factors causing<br />

poverty.Poverty is caused by low profits in the meager or petty business of less privileged<br />

people, high cost of commodities in the face of low income earning, lack of finance to take off<br />

or expand business, and hard economic times.<br />

Hulme, David and Paul Mosley (1997) in ―Finance for the Poor or Poorest? Financial Innovation,<br />

Poverty and Vulnerability ‖ defined poverty, techniques of measuring and deciding who constitute<br />

the poor. There is a controversy regarding defining poverty. Whether poverty is largely about<br />

material needs or whether it is about a much broader set of needs that permit well-being (or at least<br />

a reduction in ill-being). The former position concentrates on the measurement of consumption,<br />

usually by using income as a surrogate.<br />

Matin (1998) BRAC is to continue and extend its health programme, and almost all Microfinance<br />

NGOs in Bangladesh to provide weekly health education at meetings and offer special loans for<br />

clients to install tubewells and latrines—they are protecting their loan investments. But MF<br />

institutions are rarely, if ever, capable of delivering other key preventative health care services like<br />

immunization services and reproductive health care.<br />

Marcus, Rachel. Beth Porter and Caroline Harper (1999) finded in ―Money Matters:<br />

Understanding Microfinance‖ a wide range of experience and examines microfinance projects in<br />

light of current trends and research. They concluded that Microfinance can clearly help reduce<br />

poverty and vulnerability. Improvements to livelihood security are usually more incremental than<br />

the dramatic success stories sometimes quoted. However, for the people concerned, small changes<br />

in livelihoods may be significant. Microfinance clearly contributes to improvements in children‘s<br />

welfare through increased incomes and hence improved nutrition, housing, health and school<br />

attendance, and reductions in harmful child labour. Improvements in school attendance or in<br />

provision of educational materials are also widely reported. It clearly depicts increased household<br />

income.<br />

Robinson, M. (20<strong>01</strong>) ‗The Microfinance Re<strong>vol</strong>ution: Sustainable Finance for the Poor‘, World<br />

Bank, Washington. In a study of 16 different MFIs from all over the world shows that<br />

having access to microfinance services has led to an enhancement in the quality of life of<br />

clients, an increase in their self-confidence, and has helped them to diversify their<br />

livelihood security strategies and thereby increase their income.<br />

Mani Singh (20<strong>01</strong>) has explained in his article ―Self help group some organizational Aspects‖<br />

that the organizational functions are motivation, fixation & collection of monthly thrifts,<br />

maintenance of books of accounts, formulation of rules and regulations, increase in membership<br />

and framing of policy and programmes. He has also revealed that the social functions are<br />

providing education, knowledge and information, providing idea of consumer protection and<br />

environment protection, preventing harmful diseases, eradication of poverty, linkage with other<br />

agencies for socially, useful activities.<br />

Shah, Neha (2003) In ―Institutional credit, employment generation And poverty alleviation: a<br />

comparative Analysis‖. examined the strength and weakness of the micro finance programme as


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a tool for poverty alleviation. They examined the extent to which micro finance supports the<br />

existing and alternative income generating activities. The study found that the growth of nonfarm<br />

economic activities has increased.<br />

Nirmala, V. sham Bhat, and P. Bhuvaneswari (2004) in their study ―Self help groups for poverty<br />

Alleviation in Pondicherry'' have discussed about the performance and impact of self help<br />

groups on the empowerment rural poor women in Pondicherry region. The study included he<br />

socio economic background of the sample respondents during survey and identified the main<br />

determinants of the monthly income of the respondents. They also examined the benefit and<br />

problems experienced by the self help group sample respondents. Such a study has contributed to<br />

an understanding of the functioning of the self help groups in rural Pondicherry.<br />

NABARD, in association with GTZ, conducted a study (20<strong>05</strong> It also showed empowered women<br />

by enhancing their contribution to household income, increasing the value of their assets and<br />

generally by giving them better control over decisions that affect their lives. Further it reduced<br />

child mortality, improved maternal health and the ability of the poor to combat disease through<br />

better nutrition, housing and health - especially among women and children and contributed to a<br />

reduced dependency on informal money lenders and other non institutional sources.<br />

Ananta Basudev Sahu and Sandhya Rani Das (2007) in They concluded that habits of savings,<br />

economic independence, self confidence, social cohesion, asset ownership, freedom from debt,<br />

additional employment, etc. benefits are derived by the SHG members. Thus, SHGs have served<br />

the cause of women empowerment.<br />

Objectives<br />

The main objective of the study is to know the impact of microfinance organizations in poverty<br />

alleviation. It determines various factors which are important from respondent‘s point of<br />

view.i.e.How far microfinance organizations have satisfied poor people as far as determinants of<br />

poverty are concerned.The study also reveals the purpose of joining MFI's in Punjab.<br />

SAMPLE DESIGN<br />

For analyzing the impact of microfinance the SHG's linked model (co-operative banks of<br />

Punjab) has been used. `The concept of MFI‘s is relatively new to Punjab and there is dearth of<br />

empirical data regarding analysis of MFI‘s. Primary data is collected. 20 districts from Punjab<br />

have been covered. For the purpose of research 40 villages from different branches were selected<br />

for the study. Convenience sampling has been used, selecting 10 persons from each village, there<br />

by making a sample of 400 respondents for the purpose of analysis. However 134 respondents<br />

had not joined MFI,s.So 266 respondents were considered for the purpose.<br />

ANALYTICAL TOOLS<br />

This is purely a descriptive study. Factor analysis is used for the purpose. Beside cross<br />

tabulation is also used. Factor analysis is a statistical method used to describe variability<br />

among observed variables in terms of a potentially lower number of unobserved variables called


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factors. The term factor analysis was first introduced by Thurstone, 1931. In other words, it is<br />

possible, for example, that variations in three or four observed variables mainly reflect the<br />

variations in a single unobserved variable, or in a reduced number of unobserved variables.<br />

Factor analysis searches for such joint variations in response to unobserved latent variables. The<br />

observed variables are modeled as linear combinations of the potential factors, plus "error"<br />

terms. The information gained about the interdependencies between observed variables can be<br />

used later to reduce the set of variables in a dataset. Factor analysis originated in psychometrics,<br />

and is used in behavioral sciences, social sciences, marketing, product management, operations<br />

research, and other applied sciences that deal with large quantities of data. Therefore, factor<br />

analysis is applied as a data reduction or structure detection method.<br />

LIMITATIONS<br />

Every research has some limitation. Efforts are however made to minimize to make study more<br />

effective.<br />

1. Many respondents were not sure about what they are responding to question.<br />

2. Since this is convenience sampling, personal bias may have also crept in due to<br />

respondents to rationalize their views.<br />

3. The secrecy and confidential factor was a limiting factor in collection of data.<br />

4. Because of limitation of time, the study is limited.<br />

5. Resource constraints are also limitation for the study.<br />

6. As a student, lack of experienced knowledge is also limitation for the study.<br />

7. Generalizations made based on the finding of the study may not be directly applicable<br />

to other areas and need to be sustained with other studies.<br />

ANALYSIS AND DATA INTERPRETATION<br />

Data were analyzed using SPSS 16.00 software.<br />

The respondents were asked to rate the 30 variables on a five-point scale. Since there are<br />

four variables which are not providing useful information. Hence by using factor reduction<br />

technique, these variables are deleted for further research. The values of factor loading of these<br />

four variables are less 0.50. Hence for more accurate result, these variables are not considered for<br />

further analysis. The test of validity of data was examined with the help of a Kaiser-Meyer-Ohlin<br />

(KMO) measure of sample adequacy and Barlett‘s test of sphericity. These two tests satisfied the<br />

validity of data for factor analysis. The results of these two tests are given below in table 1.


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TABLE NO.1<br />

KMO AND BARTLETT’S TEST<br />

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. 0.839<br />

Bartlett's Test of Sphericity Approx. Chi-Square 3.407<br />

Df 325<br />

Sig. .000<br />

To determine the number of components, only the eigen values greater than or equal to 1<br />

were considered. In addition, the KMO measure and the Barlett Sphericity test were affected.<br />

The extraction method was Principal component; the rotation method was Varimax with Kaiser<br />

Normalization. The results are shown in table 2.<br />

TABLE NO2<br />

RESULTS OF PRINCIPAL COMPONENTS ANALYSIS<br />

Initial Eigenvalues<br />

Rotation Sums of Squared Loadings<br />

Component Total % of Variance Cumulative % Total % of Variance Cumulative %<br />

1 5.312 20.430 20.430 3.992 15.354 15.354<br />

2 3.934 15.130 35.560 2.870 11.037 26.392<br />

3 2.732 10.507 46.067 2.816 10.831 37.223<br />

4 2.083 8.<strong>01</strong>3 54.080 2.8<strong>05</strong> 10.788 48.<strong>01</strong>2<br />

5 1.566 6.024 60.104 2.096 8.062 56.074<br />

6 1.270 4.884 64.988 1.780 6.846 62.920<br />

7 1.139 4.380 69.368 1.676 6.448 69.368<br />

8 .917 3.528 72.896<br />

9 .771 2.967 75.863<br />

10 .742 2.853 78.717<br />

11 .725 2.788 81.504<br />

12 .614 2.362 83.866<br />

13 .569 2.187 86.<strong>05</strong>3<br />

14 .536 2.062 88.115<br />

15 .495 1.9<strong>05</strong> 90.020<br />

16 .430 1.654 91.674<br />

17 .415 1.597 93.270<br />

18 .365 1.403 94.673<br />

19 .341 1.312 95.985<br />

20 .304 1.167 97.153<br />

21 .244 .938 98.090<br />

22 .222 .853 98.944<br />

23 .134 .514 99.458<br />

24 .086 .330 99.789<br />

25 .047 .179 99.968<br />

26 .008 .032 100.000<br />

As evident from above table, the total variance explained by seven factors is 69.368<br />

percent. The factor loadings are the weights and correlation between each variable and the factor.<br />

The higher the load indicates the more relevant in defining the factors dimensionality. The factor


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loading of the variables determining extent of satisfaction in each factor, the reliability<br />

coefficient (Cronbach alpha), the eigen value, and the percent of variation explained by the<br />

factors are shown in table 3.<br />

TABLE NO. 3<br />

ATTRIBUTE GENERATED FOR THE STUDY<br />

Factor Variable Factor<br />

Loading<br />

Financial<br />

Upliftment<br />

Women<br />

Empowerment<br />

Empowerment<br />

Social<br />

upliftment<br />

Health<br />

Education<br />

Housing<br />

Earnings has improved<br />

Enhanced Saving<br />

Reasonable rate of interest<br />

Easy access to credit<br />

More job opportunities<br />

Women at home are more<br />

socially & legally aware<br />

Women gained more<br />

confidence while travelling<br />

Decrease in violence<br />

Feel more aware<br />

More skilled now<br />

Enhanced confidence<br />

Increase in communication<br />

skills<br />

Urge to skill increase<br />

Added value to work<br />

Improved social out look<br />

Recognition in society<br />

Participation in decision<br />

making<br />

Hygienic food consumption<br />

Nutritional Diet<br />

Awareness towards family<br />

planning<br />

Child Education<br />

Financial Knowledge<br />

Operational Assistance<br />

Access to clean water<br />

Use of flush system<br />

Enabled pucca house<br />

facilities<br />

.948<br />

.976<br />

.965<br />

.968<br />

.854<br />

.790<br />

.819<br />

.750<br />

.776<br />

.748<br />

.644<br />

.600<br />

.787<br />

.740<br />

.818<br />

.778<br />

.762<br />

.793<br />

.742<br />

.668<br />

.669<br />

.818<br />

.665<br />

.717<br />

.744<br />

.529<br />

Reliability<br />

Coefficient<br />

0.986<br />

0.841<br />

0.789<br />

0.815<br />

0.729<br />

Eigen<br />

Value<br />

Percent of<br />

Variation<br />

Explained<br />

5.312 15.354<br />

3.934 11.037<br />

2.732 10.831<br />

2.083 10.788<br />

1.566 8.062<br />

0.626 1.270 6.846<br />

0.589 1.139 6.448<br />

The most important factor identified was found to be ―Financial upliftment,‖ since the<br />

eigen value and percent of variation explained by this factor are 5.312 and 15.354, respectively.


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This factor consists of four variables with a reliability coefficient of 0.986. It shows that the<br />

included variables explain this factor to the extent of 98.6 percent. The percent variation<br />

explained by this factor is 15.354 percent which is highest among all the other factors. The eigen<br />

value is also highest compared to other factors.<br />

The second factor identified as ―Women Empowerment‖. The eigen value of this factor is<br />

3.934. This factor consists of four variables, with reliability coefficient of 0.841. The percent<br />

variation explained by this factor is 11.037.<br />

The next two factors important for Poverty alleviation as identified by factor analysis are<br />

―Empowerment‖ and ―social upliftment,‖ with five and four variables each, respectively, and<br />

with reliability coefficients of 0.789 and 0.815, respectively. The percent variation explained by<br />

these factors is 10.831 and 10.788, respectively. The eigen value of these factors are 2.732 and<br />

2.083 respectively. The variance explained and eigen value of these two factors are almost equal.<br />

The fifth factor identified as ―Health‖. It consists of three variables. The eigen value and<br />

percent variance explained by this factor are 1.566 and 8.062 respectively. The reliability<br />

coefficient of this factor is 0.729.<br />

The other two factors are identified as ―Education and Housing‖ which help to determine<br />

the poverty alleviation through Microfinance Organizations. Both factors consist of three<br />

variables each. The reliability coefficients are 0.626 and 0.529 respectively. The eigen value and<br />

percent variations explained by Education are 1.270 and 6.846 respectively. The eigen value and<br />

percent variations explained by Housing are 1.139 and 6.448 respectively. Both factors have all<br />

most equal eigen value and both are explaining equal percent of variation. But the reliability<br />

coefficient differs by 10 percent.<br />

The results provide statistical evidence to support identified determinants of poverty<br />

alleviation as Financial Upliftment, Women Empowerment, Empowerment, Social Upliftment,<br />

Health, Education and Housing.<br />

1. Financial Upliftment: Financial upliftment includes earnings, savings, less interest and<br />

easy access to loans. It is considered as most important aspect for poverty alleviation<br />

which is facilitated by microfinance organisations.<br />

2. Women Empowerment: Women empowerment considers the changes in the life of<br />

women from it‘s march from house to outside world. It is the second important factor.<br />

Decision making (Kabir 20<strong>01</strong>), confidence while travelling (Mahajan & Bansal 2008),<br />

enhanced confidence and decrease in violence are the determinants of women<br />

empowerment.It is another aspect of poverty alleviation facilitated by microfinance.<br />

3. Empowerment: It refers to the awareness, skill and confidence developed amongst<br />

members after joining self help group. It is the third important determinant for poverty<br />

alleviation. The members admitted that microfinance has benefitted them to develop<br />

these attributes.


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4. Social Upliftment: It is the fourth important factor which in<strong>vol</strong>ves value addition to work,<br />

participation in decision making and recognition in society. It is concerned with raising<br />

the status and change in outlook towards the society.<br />

5. Health: Health considered health as fifth important factor in poverty alleviation. Hygienic<br />

and nutritional food consumption, family planning measures (Murthy) are also important<br />

determinants of poverty. Though health is most important aspect yet microfinance<br />

organizations are not making much efforts in this regard.<br />

6. Education: Education is basically the most important aspect in poverty alleviation but<br />

here it is considered the sixth important aspect and in<strong>vol</strong>ves child education, financial<br />

knowledge relating to filling up of various bank documents and operational assistances<br />

by the microfinance organization.<br />

7. Housing: Housing is again an important but here is the last factor considered by the<br />

members. It in<strong>vol</strong>ves access to clean drinking water, type of flush system used and<br />

renovation or improvement in the structure of the house. Drinking water is taken as proxy<br />

indicator to estimate poverty (Kashif foundation, 20<strong>01</strong>).Microfinance organizations have<br />

neglected this aspect or are not upto the mark.<br />

FINAL CUSTOMER SATISFACTION MODEL<br />

On the basis of factor analysis, a model of poverty alleviation is proposed. In the model poverty<br />

alleviation is a dependent variable. Financial upliftment, social upliftment, empowerment,<br />

women empowerment, housing, health and education are independent variables.<br />

FIGURE NO. 1<br />

FINAL POVERTY ALLEVIATION MODEL DERIVED FROM FACTOR ANALYSIS


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This model has been derived on the basis of statistical evidence; hence, it is validated. It can be<br />

further used and developed for similar other researches.<br />

FACTORS RESPONSIBLE FOR JOINING MFI’s<br />

Factors Frequency %age<br />

Family welfare 25 9.4<br />

Availing loans 96 36<br />

Availing subsidy 18 6.8<br />

Promoting saving habits & Social Security 81 30.5<br />

Technical Training 37 14<br />

Any other 9 3.3<br />

Total 266 100<br />

It is an important aspect to know the factors responsible for joining the MFI‘s. 36% of the<br />

respondents felt that they have joined MFI‘s just for the purpose of availing loans followed by<br />

30.5% who said that they have joined for developing saving habits and social security. 14% of<br />

the respondents joined it for technical assistance so that they can develop their skill and can do<br />

batter. 9.4% joined it for family welfare and 6.8% for the purpose of availing subsidy. It also<br />

gives an idea that though may people have joined MFI‘s, still they are unaware of the benefits<br />

being given to them by government i.e. subsidies. So it is just a secondary factor. Other factor<br />

include personal factors, lack of skills, marketing efforts etc. which comprises 3.3% of the<br />

respondents. P. Veeramani ,Dr. D. Selvaraju and D.J. Ajithkumar concluded that in the study<br />

area many people (43.28%) joined the SHGs for getting financial assistance, 32.84% of the<br />

respondents joined in the SHGs for the social status 14.92% of the respondents joined for<br />

improve their savings. One of the reasons for joining SHGs is to avail credit (V.M. Rao 2002),<br />

which is true in the present case.<br />

CONCLUSION<br />

This study highlighted the general determinants of poverty alleviation .It identified the<br />

extent of services and satisfaction provided by microfinance organizations. The purposed model<br />

may be used as basis to plan efforts towards poverty alleviation. Financial upliftment is the key<br />

factor which helps in poverty alleviation. Microfinance organizations must focus on other<br />

factors which includes empowerment, health, education, housing etc. also need attention of<br />

microfinance organizations. As far as the purpose of joining the microfinance organizations is<br />

concerned, maximum people join it for the purpose of availing loans and promoting saving<br />

habits. The relationship gives an idea that people join microfinance organizations for financial<br />

assistance and consider that MFI,s are assisting them in that respect. So the efforts of<br />

Microfinance organizations should be articulated on identified factors, especially on education,<br />

health and housing even though they occupy last position.


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REFERENCES<br />

Ananta Basudev Sahu and Sandhya Rani Das (2007), Women Empowerment Thorough Self<br />

Help Groups- A Case Study<br />

Englama, A. & Bamidele, A. (1997), Measurement <strong>issue</strong>s in poverty. In Poverty Alleviation in<br />

Nigeria, Selected Papers for the 1997 Annual Conference of the Nigerian Economics Society<br />

(pp. 141-156).<br />

Godwin Chigozie Okpara Microfinance banks and poverty alleviation in Nigeria.<br />

Hulme, D. and P. Mosley (1996), Finance against Poverty, Routledge, London.<br />

Kabeer N 20<strong>01</strong>, Conflicts over credit; Re-Evaluating the Empowerment potential of loans to<br />

women in rural Bangladesh, World development 29(1) p63-64.<br />

Kamal, A. (1996), Poor and the NGO Process: Adjustment and Complicitis, in H.Z.<br />

Mani Singh (20<strong>01</strong>), Self help group some organizational Aspects, The Co-operator,<strong>vol</strong>.38<br />

Marcus, Rachel. Beth Porter and Caroline Harper. 1999. Money Matters: Understanding<br />

Microfinance. Save the Children. London.<br />

Murthy, R.K.Raju, K.Kamath, Towards women empowerments and poverty reduction, lesson<br />

from the participatory impact assessment of South Asian Poverty alleviation Programe in<br />

Andhra Pradesh.<br />

NABARD (1995), Linking SHG‘S with banks- An Indian Experience. NABARD Bombay,<br />

pp. 1- 25.<br />

NABARD (20<strong>05</strong>), Comparative performance of SHG's bank linkage program vis-à-vis other<br />

priority sector credit.<br />

Nirmala, V. sham Bhat, and P. Bhuvaneswari (2004), Self help groups for poverty Alleviation in<br />

Pondicherry' <strong>journal</strong> of Rural Development,<strong>vol</strong>.23(2), pg.203-215<br />

P. Veeramani Dr. D. Selvaraju and D.J. Ajithkumar (2004) Women Empowerment through Micro<br />

Entrepreneurship‖Page 84 – Refereed Edition Vol V, Issue 2, October 2009, Indigenous Practices<br />

in Entrepreneurship<br />

Shah, Neha (2003), Institutional credit, employment generation And poverty alleviation: a<br />

comparative Analysis.


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QUESTIONNAIRE<br />

ANNEXURE:-1<br />

NAME OF RESPONDENT:__________________________<br />

1. After joining Microfinance organization, indicate the degree of satisfaction for the<br />

following:<br />

Where ‗1‘ represents ―Strongly Disagree‖, ‗2‘ represents ―Disagree‖, ‗3‘ represents<br />

―Neutral‖‗4‘ represents ―Agree‖ & ‗5‘ represents ―Strongly Agree‖<br />

S.No Particular 1 2 3 4 5<br />

1 Earnings has improved<br />

2 Financial Knowledge<br />

3 Feel more aware<br />

4 Saving are used for loan<br />

5 Use of flush system<br />

6 Conventional banks have more schemes<br />

7 Enhanced confidence<br />

8 Decrease in violence<br />

9 Purpose of loan has been justified<br />

10 Added value to work<br />

11 Participation in decision making<br />

12 Urge to skill increase<br />

13 Improved social out look<br />

14 Women at home are more socially & legally aware<br />

15 Hygienic food consumption<br />

16 Access to clean water<br />

17 Increase in communication skills<br />

18 More skilled now<br />

19 Recognition in society<br />

20 Awareness towards family planning<br />

21 Enhanced Saving<br />

22 Material possession has increased<br />

23 Women gained more confidence while travelling<br />

24 Child Education<br />

25 Reasonable rate of interest<br />

26 More job opportunities<br />

27 Nutritional Diet<br />

28 Operational Assistance<br />

29 Enabled pucca house facilities


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30 Easy access to credit<br />

2. What is the reason for joining MFI‘s?<br />

[ ] Family welfare [ ] Availing loans [ ] Availing subsidy<br />

[ ] Promoting saving habits & Social Security [ ] Technical Training<br />

[ ] Any other (Please specify)________________<br />

ANNEXURE:-1<br />

EXPLORATORY FACTOR PATTERN MATRIX<br />

Rotated Component Matrix<br />

COD DISCRIPTION<br />

FACTORS<br />

E<br />

1 2 3 4 5 6 7<br />

Q1 Earnings has improved 0.94<br />

8<br />

-<br />

.008<br />

-<br />

.029<br />

0.02<br />

5<br />

0.11 0.11 0.09<br />

2<br />

Q21 Enhanced Saving 0.97<br />

6<br />

0.03<br />

9<br />

0.00<br />

7<br />

0.02 0.1 0.08 0.12<br />

1<br />

Q25 Reasonable rate of interest 0.96 0.00 0 0.00 0.06 0.03 0.07<br />

5 9 2 4 8<br />

Q30 Easy access to credit 0.96<br />

8<br />

0.03<br />

7<br />

0.02<br />

2<br />

0.04 0.10<br />

1<br />

0.08<br />

6<br />

0.11<br />

3<br />

Q24 Child Education 0.03<br />

6<br />

-<br />

.034<br />

0.06 -<br />

0.04<br />

-<br />

.132<br />

0.66<br />

9<br />

0.26<br />

7<br />

Q2 Financial Knowledge 0.04<br />

1<br />

-<br />

.203<br />

-<br />

.046<br />

0.08<br />

8<br />

0.16 0.81<br />

8<br />

-<br />

0.04<br />

6<br />

Q28 Operational Assistance 0.27<br />

1<br />

-<br />

.025<br />

0.10<br />

2<br />

0.03<br />

3<br />

0.29 0.66<br />

5<br />

0.06<br />

1<br />

Q15 Hygienic food consumption 0.09 -<br />

.098<br />

0 -<br />

.024<br />

0.79<br />

3<br />

0.09 0.02<br />

9<br />

Q27 Nutritional Diet 0.15<br />

4<br />

0.06<br />

2<br />

0.10<br />

3<br />

0.22<br />

9<br />

0.74<br />

2<br />

0.08<br />

8<br />

0.09<br />

3<br />

Q20 Use of awareness towards family<br />

planning<br />

0.08<br />

5<br />

0.<strong>05</strong><br />

5<br />

0.07<br />

2<br />

0.30<br />

1<br />

0.66<br />

8<br />

0.02 0.30<br />

8<br />

Q16 Access to clean drinking water 0.12<br />

4<br />

0.23<br />

2<br />

0.19<br />

4<br />

0.19 -<br />

.033<br />

0.02 0.71<br />

7<br />

Q5 Use of flush system 0.21<br />

4<br />

-<br />

.103<br />

-<br />

.034<br />

0.09<br />

5<br />

0.21<br />

4<br />

0.09<br />

1<br />

0.74<br />

4<br />

Q29 Enabled pucca house facilities 0.06 0.<strong>01</strong> 0.15 - 0.31 0.25 0.52<br />

Q10 Edit value to work 0.15<br />

8<br />

9<br />

0.03<br />

9<br />

6<br />

-<br />

.036<br />

.089 5<br />

0.74 0.25<br />

1<br />

3<br />

0.16<br />

1<br />

9<br />

0.11


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Q13 Improved social out look -<br />

.086<br />

Q19 Recognition in society -<br />

0.02<br />

Q11 Participation in decision making 0.04<br />

5<br />

Q3 Feel more aware -<br />

.073<br />

Q18 More skilled now 0.08<br />

3<br />

Q7 Enhanced confidence 0.13<br />

5<br />

0.07 -<br />

.043<br />

0.<strong>01</strong><br />

5<br />

0.10<br />

2<br />

0.13<br />

9<br />

0.09<br />

4<br />

0.32<br />

3<br />

0.21<br />

7<br />

0.18<br />

4<br />

0.77<br />

6<br />

0.74<br />

8<br />

0.64<br />

4<br />

0.81<br />

8<br />

0.77<br />

8<br />

0.76<br />

2<br />

0.08<br />

8<br />

0.17<br />

9<br />

-<br />

.149<br />

Q17 Increase communication skills 0.07<br />

3<br />

-<br />

.006<br />

0.6 0.29<br />

3<br />

Q12 Urge to skill increased - 0.07 0.78 -<br />

.147 5 7 .026<br />

Q26 More job opportunities 0.02 0.85 - 0.02<br />

3 4 .0<strong>05</strong> 4<br />

Q14 Women at home are more socially & 0.02 0.79 0.19 0.08<br />

legally aware<br />

6 8<br />

Q23 Women gained more confidence while 0.00 0.81 0.13 0.18<br />

travelling<br />

5 9 9 5<br />

Q8 Decrease in violence 0.00 0.75 0.14 -<br />

5 6 .046<br />

0.14<br />

8<br />

-<br />

.023<br />

-<br />

0.02<br />

5<br />

0.11<br />

3<br />

0.02<br />

2<br />

0.16<br />

3<br />

0.00 -<br />

3 .008<br />

0.00 -<br />

2 .022<br />

- 0.04<br />

.023 6<br />

0.<strong>01</strong> 0.12 0.03<br />

7<br />

0.21 0.02 -<br />

8 0.12<br />

0.10<br />

9<br />

-<br />

.<strong>01</strong>8<br />

0.00<br />

4<br />

-<br />

.071<br />

-<br />

.044<br />

0.09<br />

5<br />

-<br />

.049<br />

-<br />

.024<br />

0.<strong>05</strong><br />

8<br />

-<br />

.089<br />

-<br />

.046<br />

-<br />

.213<br />

2<br />

0.15<br />

0.02<br />

4<br />

0.<strong>01</strong><br />

4<br />

-0.<strong>05</strong><br />

0.07<br />

4<br />

0.08<br />

8


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ABSTRACT<br />

A STUDY ON EFFECTIVENESS OF SELF-EMPLOYMENT TO<br />

EDUCATED UNEMPLOYED YOUTH SCHEME IN INDIA<br />

DR. P.V.V. SATYANARAYANA*<br />

*Director & Associate Professor,<br />

V.S. Lakshmi Institute of Computer Application and Management Studies for Women,<br />

NFCL Road, Kakinada – 5330<strong>05</strong>.<br />

In view of the increasing unemployment in the country the Promotion of Self-Employment and<br />

decentralized manpower planning have been adopted during the sixth Five Year Plan as the main<br />

planks of its policy to tackle the unemployment problem in the coming years by putting special<br />

emphasis on promotion of Self-Employment. It has also been emphasized by different<br />

groups/Committees that in order to make the Self-Employment Programme more effective, it is<br />

essential that the potential entrepreneurs are identified, motivated and informed of the various<br />

facilities and incentives available for taking-up such ventures. The genuine entrepreneur has<br />

some specific characteristics which are required to be assessed. To identify the Entrepreneurial<br />

Potentialities of job-seekers/youths, the Directorate General of Employment and Training have<br />

e<strong>vol</strong>ved Psychological Tools consisting of Three Tier approach. The objective of the Three Tier<br />

System is to elicit various behavioural Patterns/Traits symptomatic of success in Self-<br />

Employment Ventures and thus useful in identifying the entrepreneurs with requisite level of<br />

entrepreneurial potential<br />

KEYWORDS: Self-Employment Schemes, SEEUYS.<br />

I. INTRODUCTION<br />

The financial system is the lifeline of the economy. Banks are the backbone of the<br />

financial sector. They are the most dominant segment of the country’s financial system. Banks<br />

plays a pivotal role in the development of a sound economy and form the core of the money<br />

market. It facilitates payment mechanism, mobilized insured deposits, act as credit intermediaries<br />

and serve as the principal channel for transmission of monetary of monetary policy actions to the<br />

economy at large. The banks provided financial assistance only to the Industries which had<br />

already established, financially sound, capacity to repay the loan, favorable credit guarantee etc.<br />

After the independence in 1947, the Government was quite disturbing and needs much attention<br />

to eradicate poverty through employment opportunities. Therefore, the government had come up<br />

with different schemes to eradicate poverty<br />

The scheme for providing Self-employment to Educated Unemployed Youth was started<br />

in 1983 with an annual target of 2.5 lakh beneficiaries. Unemployed Youth in the age group of<br />

19-35 years who are Matriculates and above are eligible for assistance under this scheme. ITI<br />

passed, women, technically trained persons are given due weightage training plus two level are


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given preference. A ceiling of income of Rs. 10,000 per annum, per family, has been fixed for<br />

eligibility under the scheme. A minimum of 50% ventures should be through industry-route and<br />

not more than 30% of the ventures should relate to business sector, except in hilly areas of the<br />

country. A composite loan not exceeding and Rs.15,000/- for business sector is provided. 25%<br />

subsidy is provided by the Govt. on the loans. Banks do not require collateral guarantee or<br />

margin money for such loads. 30% of the total beneficiaries are reserved for SC/ST persons.<br />

Promotional, financial and development agencies of the state and central governments at the field<br />

level would be in<strong>vol</strong>ved in the implementation. Reputed NGOs would also be associated with the<br />

scheme, especially in the selection, training of entrepreneurs and preparation of projects.<br />

II. NEEDS FOR SELF – EMPLOYMENT TO THE SOCIETY<br />

The need for the creation of self-employment opportunies in the society becomes urgent<br />

due to the following factors.<br />

By providing self-employment, the village industries have high potential for income<br />

generation in rural areas. Thus, they help in reducing disparities in income between rural and<br />

urban areas.<br />

The industries encourage dispersal of economic activities in the society and promote<br />

balanced regional development.<br />

Self – employment serves as an anecdote to the widespread problems of disguised<br />

unemployment or underemployment in the society.<br />

Self-employment increases the economic progress of the country.<br />

It also protects the migration of rural people to the urban areas.<br />

It increases the standard of living of the people in the society.<br />

Self-employment motivates the people to start business or industry, which will lead to the<br />

development of the society.<br />

It increase the welfare of the society.<br />

REVIEW OF LITERATURE<br />

Sexton, D.L., & Bowman, U.N. (1991) have made attempts to distinguish a self<br />

employment from a bread-winning businessperson. Krishna, K.V.S.M. (2003) consider an<br />

individual to be an entrepreneur if he/she exhibits a high propensity for growth. Cliff, J.E.<br />

(1998) views growth propensity as one’s desire to grow and change in future as well as his/her<br />

self-perceived power to achieve the same. As such, size and growth are typically used as criteria<br />

for evaluating organisational success. Carter, N. M., Williams, M., & Reynolds, P. D. (1997)<br />

and Bussey, K., & Bandura, A. (1999) have made un employed youth, however, conceive their<br />

businesses differently from the way men do which women have different socialization


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experience which might shape varied strategic choices among themselves such as their prior<br />

professional experience and social network affiliation. Brush, C.G. (1992) and Cliff, J.E. (1998)<br />

have different approaches to venture creation and business growth expectancies. Johnson, S., &<br />

Storey, D. (1993) shows that women-owned businesses are no more likely to fail than menowned.<br />

Cooper, A., Gimeno-Gascon,F.J., & Woo, C. (1994) reported that women perform less<br />

well on quantitative measures such as job creation, sales turnover and profitability since women<br />

do not enter business for financial gain but to pursue intrinsic goals (for example, independence,<br />

and the flexibility to run business and domestic lives). Lerner, M., Brush, C., & Hisrich, R.<br />

(1997) identified women are deemed to assess success in relation to their achievement in<br />

attaining personal goals (i.e. self-fulfillment, goal attainment etc.). Cooper, A., Gimeno-<br />

Gascon,F.J., & Woo, C. (1994) found that differences in initial capital and goals explain the<br />

poorer performance in growth and survival of self-owned businesses.<br />

III OBJECTIVES OF THE STUDY<br />

To study the progress of SEEUY scheme in India.<br />

To identify the impact of SEEUY scheme in Indian economy.<br />

To analyze the effectiveness of SEEUY scheme in India.<br />

To have the SWOT analysis on SEEUY.<br />

To reveal the recovery of SEEUY loan in India.<br />

To analyze the effect on National Income and Per Capital Income of India by employment<br />

generation through SEEUY scheme.<br />

To know the effect of SEEUY scheme in reducing the rate of Poverty and unemployment in<br />

India.<br />

To evaluate the performance of SEEUY scheme in various five year plans.<br />

IV STATEMENT OF THE PROBLEM<br />

The SEEUY scheme encourages new generation entrepreneurs by granting financial<br />

assistance to the small business. The financial assistance is granted to start a new business or<br />

industry through banks.<br />

While going through the secondary data, the researcher has identified that the number of<br />

beneficiaries to the target fixed is very low. The rejection of major applications is due to<br />

ineligibility of applicants, non-viable project, poor recovery, defaulter to earlier scheme, nonfulfillment<br />

of terms of sanction, furnishing of incorrect/incomplete information by the applicant<br />

etc.


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The main aim of the implementation of SEEUY scheme is to reduce the rate of<br />

unemployment and poverty and increase the per capita income of the people. It is essential to<br />

know the effectiveness of SEEUY scheme in the Indian economy.<br />

V. TOOLS OF ANALYSIS<br />

To find out the relationship between two variables, Co-efficient of correlation is<br />

employed. The formula for finding out the co-efficient of correlation is<br />

r<br />

xy<br />

x<br />

2 . y 2<br />

VI. FINANCIAL ASSISTANCE UNDER SEEUY IN INDIA<br />

The main aim of the SEEUY scheme was to provide easy subsidized financial assistance<br />

to educated unemployed youths for starting their own enterprise in production, service and trade<br />

sectors.<br />

TABLE 1 : PROGRESS OF SEEUY SCHEME IN INDIA<br />

SANCTIONED<br />

DISBURSED<br />

YEAR<br />

TARGET (NO)<br />

No<br />

% of the<br />

target<br />

No<br />

% to the<br />

target<br />

1996-97 40000 30029 75.<strong>01</strong> 23025 57.56<br />

1997-98 220000 185803 84.46 158863 72.21<br />

1998-99 260000 287218 110.47 241843 109.93<br />

1999-00 220000 271768 123.53 228495 103.86<br />

2000-<strong>01</strong> 220000 263622 119.83 209103 95.<strong>05</strong><br />

20<strong>01</strong>-02 220000 271342 123.34 191351 86.98<br />

2002-03 220000 259088 117.77 203454 92.48<br />

2003-04 220000 237896 108.13 184890 84.04<br />

2004-<strong>05</strong> 220000 237392 107.91 189860 86.30<br />

20<strong>05</strong>-06 220000 228031 103.65 19<strong>05</strong>21 86.60


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2006-07 220000 264<strong>01</strong>2 120.00 219444 99.75<br />

2007-08 250000 298003 119.20 248264 99.31<br />

2008-09 250000 314291 125.72 266971 106.79<br />

2009-10<br />

Upto Dec<br />

191250<br />

(255000)<br />

165693 86.64 91388 47.78<br />

Total 2995000 3314188 110.66 2647482 88.4<br />

Source: RBI Data<br />

Plan target was 220000 it was increased to 260000 to cover backlog.<br />

This is a permanent scheme of Government of India with framed modalities and<br />

guidelines for its successful implementation and to fulfill the purpose for which it is designed.<br />

The role of banks in the SEEUY process is quite crucial to perform the task of providing<br />

the most vital input namely capital to the enterprise. The banks have a higher level of<br />

responsibility in the whole process.<br />

The table 1 shows the target, sanctioned and disbursed number of beneficiaries during the<br />

period of its implementation from October 1996 up to December 2<strong>01</strong>0. The planned target in the<br />

year of implementation was 40000 for the period of six months. It was increased from the next<br />

financial year to 220000. The planned target was increased to 260000 during 1995-96 in order to<br />

cover backlog. In the year 2004-<strong>05</strong>, it was again increased to 250000. It is clearly inferred from<br />

the table that the number of SEEUY beneficiaries is high during the years 2008-09 (266971) and<br />

2007-08 (248264). Considering target as the base, the sanctioned percentage to the target is the<br />

minimum in the year 1996-97 (75.<strong>01</strong>).<br />

VII. EMPLOYMENT GENERATION BY SEEUY<br />

The details of employment generation by SEEUY scheme and its share in total employed<br />

persons in India are shown in the table 2.<br />

TABLE 2: SHARE OF EMPLOYED SEEUY BENEFICIARIES TO THE TOTAL<br />

EMPLOYED PERSONS IN INDIA<br />

Year<br />

Total employed<br />

persons in India<br />

Employed SEEUY<br />

beneficiaries<br />

Share in total<br />

employed persons of<br />

India (%)<br />

1999-00 27177000 34553 0.13


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2000-<strong>01</strong> 27375000 238295 0.87<br />

20<strong>01</strong>-02 27525000 362765 1.32<br />

2002-03 27941000 342743 1.23<br />

2003-04 28245000 313655 1.11<br />

2004-<strong>05</strong> 28166000 287027 1.02<br />

20<strong>05</strong>-06 28113000 3<strong>05</strong>181 1.09<br />

2006-07 27960000 277335 0.99<br />

2007-08 27789000 284790 1.02<br />

2008-09 27206000 285782 1.<strong>05</strong><br />

2009-10 27000000 329166 1.22<br />

Total 304497000 3061292 1.<strong>01</strong><br />

Note: Employment generation is estimated @ 1.5 persons per case disbursed.<br />

Source:<br />

i) Office of the Registrar General of India, Ministry of Home Affairs<br />

ii) www.indiabudget.nic.in<br />

iii) RBI Data<br />

It is evident from the table 2 that the share of employed SEEUY beneficiaries to the total<br />

employed persons in India is maximum (1.32%) in the year 20<strong>01</strong>-02 and minimum (0.13%) in<br />

the year 1999-00. It reveals that the implementation of SEEUY scheme has some effects in the<br />

employment generation in the economy.<br />

VIII. EMPLOYMENT GENERATION & PER CAPITA INCOME<br />

The table 3 displays the relationship between employed SEEUY beneficiaries and per<br />

capita income of India.<br />

r<br />

xy<br />

x<br />

2 . y 2<br />

r 67931<strong>05</strong>23<br />

77035342823*187683660<br />

r= 0.44


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TABLE 3: EMPLOYED SEEUY BENEFICIARIES AND PER CAPITA INCOME<br />

Year<br />

Employed<br />

SEEUY<br />

beneficiaries<br />

(X)<br />

X= X<br />

x 2<br />

x<br />

Per<br />

capita<br />

income<br />

(Y)<br />

Y-Y<br />

(y)<br />

y 2<br />

Xy<br />

1999-<br />

00<br />

2000-<br />

<strong>01</strong><br />

20<strong>01</strong>-<br />

02<br />

2002-<br />

03<br />

2003-<br />

04<br />

2004-<br />

<strong>05</strong><br />

20<strong>05</strong>-<br />

06<br />

2006-<br />

07<br />

2007-<br />

08<br />

34553 -243746 59412112516 7690 -6449 415896<strong>01</strong> 1571917954<br />

238295 -40004 1600320<strong>01</strong>6 8857 -5282 27899524 2113<strong>01</strong>128<br />

362765 84466 71345<strong>05</strong>156 1<strong>01</strong>49 -3990 1592<strong>01</strong>00 -337<strong>01</strong>9340<br />

342743 64444 4153029136 11564 -2575 6630625 -165943300<br />

313655 35356 1250046736 12707 -1432 2<strong>05</strong>0624 -50629792<br />

287027 8728 76177984 14396 257 66049 2243096<br />

3<strong>05</strong>181 26882 722641924 15625 1486 2208196 39946652<br />

277335 -964 929296 16563 2424 5875776 -2336736<br />

284790 6491 42133081 17947 3808 14500864 24717728<br />

2008-<br />

09<br />

2009-<br />

10<br />

285782 7483 55995289 19040 49<strong>01</strong> 24<strong>01</strong>98<strong>01</strong> 36674183<br />

329166 50867 2587451689 20989 6850 46922500 348438950<br />

Total 3061292 3 77035342823 15527 -2 187683660 167931<strong>05</strong>23<br />

Source:<br />

i) RBI Data


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ii) www.planningcommission.nic.in<br />

It is inferred from the above calculation that a positive correlation exists between the two<br />

variables – Employed SEEUY beneficiaries and Per Capital Income. Hence it is clear that if<br />

there is an increase in the employed SEEUY beneficiaries, Per Capita Income of India will also<br />

increase.<br />

IX. AMOUNT OF SEEUY LOAN DISBURSED & NATIONAL INCOME<br />

Table 4 IS prepared to represent the relationship between the amount of SEEUY loan<br />

disbursed and National income of India.<br />

TABLE 4: EMPLOYED SEEUY BENEFICIARIES AND PER CAPITA INCOME<br />

Year<br />

Employed<br />

SEEUY<br />

beneficiarie<br />

s (X)<br />

X=s<br />

X<br />

x 2<br />

x<br />

Per<br />

capita<br />

income<br />

(Y)<br />

Y-Y<br />

(y)<br />

y 2<br />

xy<br />

1998<br />

-99<br />

137 -1<strong>01</strong>1 102212<br />

1<br />

685912 -821130 674254476900 83<strong>01</strong>62430<br />

1999<br />

-00<br />

2000<br />

-<strong>01</strong><br />

20<strong>01</strong><br />

-02<br />

2002<br />

-03<br />

872 -276 76176 8<strong>05</strong>981 -7<strong>01</strong>061 491486525721 193492836<br />

1378 230 52900 941861 -565181 319429562761 -129991630<br />

1352 204 41616 1093962 -413080 170635086400 -84268320<br />

1218 70 4900 1224946 -282096 79578153216 -19746720<br />

2003<br />

-04<br />

2004<br />

-<strong>05</strong><br />

20<strong>05</strong><br />

-06<br />

1093 -55 3025 1224946 -91949 84546186<strong>01</strong> 5<strong>05</strong>7195<br />

1269 121 14641 1415093 57006 3249684036 6897726<br />

1168 20 400 1564048 180776 32679962176 3615520


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2006<br />

-07<br />

2007<br />

-08<br />

2008<br />

-09<br />

1185 37 1369 1687818 354075 1253691<strong>05</strong>625 13100775<br />

1198 50 2500 1861117 5<strong>01</strong>728 251730985984 25086400<br />

1368 220 48400 2008770 745028 55066720784 163906160<br />

2009<br />

-10<br />

1543 395 156025 2542921 103587<br />

9<br />

107304530264<br />

1<br />

4091722<strong>05</strong><br />

Total<br />

13781 5 142407<br />

3<br />

1808449<br />

9<br />

-5 378498<strong>01</strong>8484<br />

5<br />

141648457<br />

7<br />

Source:<br />

i) RBI Data<br />

ii) www.plannigcommission.nic.in<br />

r<br />

xy<br />

x<br />

2 . y 2<br />

r<br />

1416484577<br />

1424073*378498<strong>01</strong>84 845<br />

R= 0.61<br />

It is inferred from the above calculation that a positive correlation (0.61) exists between<br />

the two variables amount of SEEUY Loan disbursed and national income. Hence it is clear that if<br />

there is an increase in the amount of SEEUY loan, National income of India will also increase.<br />

X. POVERTY AND UNEMPLOYMENT<br />

The main aim of the SEEUY scheme is to reduce poverty and unemployment rate in<br />

India. Hence it is essential to know the effect of SEEUY scheme in reducing poverty and<br />

unemployment in India. The Table 5 displays the number of SEEUY beneficiaries, Poverty rate<br />

and Unemployment Rate in India.<br />

TABLE 5 : RATE OF POVERTY AND UNEMPLOYMENT IN INDIA<br />

Year<br />

SEEUY<br />

Beneficiaries<br />

(No)<br />

Poverty Rate<br />

(%)<br />

Increase /<br />

Decrease<br />

Unemployment<br />

Rate (%)<br />

Increase /<br />

Decrease<br />

2003-04 23025 36 - 5.99 -


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2009-10 203454 26.1 -9.9 7.32 + 1.33<br />

Source:<br />

i) RBI Data<br />

ii) www.planningcommission.nic.in<br />

The table 5 depicts that the number of SEEUY beneficiaries in 2003-04 and 2009-10 is<br />

23025 and 203454 respectively. The rate of poverty in 2003-04 is 36 percent and reduced to 26.1<br />

percent in2009-10. But the rate of unemployment is 5.99 percent in 2003-04 and increased to<br />

7.32 percent in2009-10. The rate of poverty has reduced by 9.9% and unemployment has<br />

increased by 1.33% in the year2009-10. Hence it is clear that SEEUY scheme has little more<br />

effect in reducing the rate of poverty but not in unemployment. It is due to the higher growth rate<br />

of population in India.<br />

XI. THE TARGET AND ACHIEVEMENT OF SEEUY<br />

The target and achievement of SEEUY in IX th , X th and XI th Plan are shown in the table 6<br />

TABLE 6: PLAN-WISE TARGET AND ACHIEVEMENT OF SEEUY IN INDIA<br />

Plan<br />

Target Sanctioned Disbursed<br />

No<br />

No<br />

Percentage<br />

to the<br />

target<br />

No<br />

Percentage<br />

to the<br />

target<br />

Estimated<br />

employment<br />

generation<br />

No<br />

IX plan<br />

(1996-97 to<br />

20<strong>01</strong>-02)<br />

X plan<br />

(2002-03 to<br />

2006-07) up<br />

to Dec *<br />

700000 774818 110.69 652226 93.18 978356<br />

1100000 12699340 115.39 978658 88.97 2446344<br />

XI plan<br />

(2006-07 to<br />

2<strong>01</strong>0-11) up<br />

January<br />

1100000 1270030 115.46 1<strong>01</strong>6588 92.42 1524883<br />

Source: RBI<br />

Note: Employment generation is estimated @ 1<strong>05</strong> persons per case disbursed.<br />

* Provisional


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It is inferred from the table 6 that SEEUY has been a successful scheme, not only in the<br />

IX plan but also in the X plan. It also shows that the sanctions have exceeded the target in all the<br />

Five Year Plans.<br />

XII. STATUS OF RECOVERY OF LOANS UNDER SEEUY<br />

As per reports received from RBI, the overall status of recovery under SEEUY is given in<br />

the Table 7.<br />

The table 7 predicts the fact rate of recovery of loans under PMRY has been around 34%<br />

to 40% in the last four years. The RBI and Government of India of India have initiated various<br />

steps for improving the recovery of loan overdues under the scheme by ensuring backward and<br />

forward linkages for the limits set up under the scheme. The government of India has advised to<br />

all state Government to notify SEEUY loan overdues as revenues dues under their respective<br />

Revenue Recovery Acts. All implementing banks have been advised to file criminal complaints<br />

against the borrowers who misutilise loans sanctioned under the scheme.<br />

TABLE 7<br />

Year Recovery of SEEUY Loan (%)<br />

2006-07 35.2<br />

2007-08 34-96<br />

2008-09 35-32<br />

2009-10 39-19<br />

XIII. SWOT ANALYSIS OF SEEUY<br />

STRENGTHS<br />

1. SEEUY has emerged as a major Central Sector Scheme creating employment<br />

opportunities for about 31.6 lakh persons since inception of the Scheme in the year 1998.<br />

The employment under the SEEUY will further increase over the years, as the SEEUY is<br />

an ongoing Central Sector Scheme.<br />

2. The Coverage of the Scheme is spread over both for Rural as well as Urban areas. As per<br />

findings of 2 nd round of evaluation of SEEUY conducted by the institution of Applied<br />

Manpower and Research (IAMR), disbursement of SEEUY beneficiaries in Rural and<br />

Urban areas is 49.9 percent and 50.1 percent respectively.<br />

3. The evaluation study has also revealed that assets have been created in 89-7 percent of<br />

cases disbursed under the SEEUY.


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WEAKNESSES<br />

1. The recovery of loan overdues under the SEEUY scheme has not been satisfactory. The<br />

recovery of loan overdues was 34.9 percent for the half year ended March 2002, which<br />

stands at 34.96 percent for the year March 2004.<br />

2. Banks are under financing projects. The amount of loan disbursed under SEEUY is<br />

stagnating around Rs. 60000 per beneficiary.<br />

3. There is a gap between the cases sanctioned and disbursed made under SEEUY by banks.<br />

A total of 21.1 lakh cases have been disbursed by banks against the sanctions of 26.7 lakh<br />

cases since incepton of the scheme till January 2<strong>01</strong>1.<br />

OPPORTUNITIES<br />

1. In the situation where employment opportunities in the organized sectors and<br />

Government sectors have been virtually stagnating or declined, SEEUY scheme has<br />

emerged as a major scheme of employment generation in the country for not too qualified<br />

and trained educated unemployed youth.<br />

2. The successful self employed units set up under the SEEUY scheme may graduate into<br />

higher scale units thus creating further employment opportunities for under unemployed<br />

persons.<br />

3. Up scaling of successful SEEUY units into higher scale units can be encouraged by<br />

providing subsequent loans with subsidy to these units.<br />

THREATS<br />

The implementation of the scheme could be improved by:<br />

1. Enhancing the family income ceiling from Rs. 40000 per annum to Rs. 100000 per<br />

annum.<br />

2. Enhancing the project cost from Rs. 100000 to Rs. 200000 for business sector and from<br />

Rs. 200000 to Rs. 500000 for service and industry sector.<br />

3. Enhancing subsidy ceiling of Rs. 7500 per beneficiary to Rs. 10000 per benefiary for<br />

State / UTs other than North Eastern States J&K, Himachal Pradesh and Uttaranchal to<br />

make the scheme attractive.<br />

XIV. CONCLUSION<br />

The study various <strong>issue</strong>s for researchers to conduct in future. A further study may be<br />

conduced to analyze the effectiveness of the scheme in promoting entrepreneurship culture. With<br />

a narrow sense, the government shall broaden its view to avail the SEEUY loan in order to create<br />

employment opportunities. With a broader sense, the government shall extend its credit to the


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society by crucial formalities and procedures in order to avoid educated unemployment,<br />

practically, SEEUY scheme is a welcoming among the educated unemployed youth.<br />

REFERENCES<br />

1. Brush, C.G. (1992). Research on women business owners: past trends, a new perspective and<br />

future directions. Entrepreneurship Theory and Practice, 17(4), 5-30.<br />

2.. Bussey, K., & Bandura, A. (1999). Social cognitive theory of gender development and<br />

differentiation, Psychological Review, 106, 676-713.<br />

3. Cliff, J.E. (1998). Does One Siza Fit All? Exploring the Relationship Between Attitudes<br />

Towards Growth, Gender, and Business Size. Journal of Business Venturing, 13(6), 523-542.<br />

4. Davenport.T.H. (1999) Putting the enterprise into the enterprise system. In<br />

B.L.Martin,G.Batchelder,W.P.Yetter and Newcomb(Eds), A Harvard Business review: on the<br />

business value of IT (pp.159-185) USA. Harvard Business School Projects.<br />

5. Gender and Home Based Employment by Charles B, Hennon , Published by Westport CT ,<br />

2000<br />

6. Johnson, S., & Storey, D. (1993). Male and Female Entrepreneurs and Their Businesses, in S.<br />

Allen and C. Truman, eds. . 7. Women in Business: Perspectives on Women Entrepreneurs<br />

London: Routledge.<br />

8. Home-Based Employment and Financing Life By Ramona K.Z.Heck, published Auburn<br />

House, West Port CT 1995<br />

9. Krishna, K.V.S.M. (2003). Bridging the Gap: Conceptual Paradigms and Training for<br />

Entrepreneurship Development. The Journal of Entrepreneurship, 12(1), 91-116.<br />

10 Lerner, M., Brush, C., & Hisrich, R. (1997). Israeli Women Entrepreneurs: An Examination<br />

of Factors Affecting Performance. Journal of Business Venturing, 12(4), 315-339.<br />

11. Secrets of self employment by Sarah and Paul Edwards; Published by G.P.Putnam’s sonsm<br />

New York 1991<br />

12. Self Employment for Low |Income People by Steven Balkin, published by Praeger press,<br />

New York 1989<br />

13. Social Change and Innovation in Labour Market by Catherine Hakin publishers, New York<br />

2004<br />

14. The Economic of self- Employment and Entrepreneurship by Simon C Parker, Cambridge<br />

University Press 2004


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ISSUES AND PROSPECTS OF PUBLIC PRIVATE PARTNERSHIP IN<br />

INDIA<br />

ABSTRACT<br />

KARUNENDRA PRATAP SINGH*<br />

*Assistant Professor, Department of Business Administration,<br />

Technical Education & Research Institute, Post Graduate College<br />

Ghazipur, Uttar Pradesh, India.<br />

It has been observed worldwide that it is difficult for the private sector to meet the financial<br />

requirements of infrastructure in isolation at the same time tackling the risks inherent to building<br />

infrastructure. Therefore, the PPP model has come to represent a logical, viable and necessary<br />

option for the Government and the private sector to work together. Public Private Partnership<br />

(PPP) project as per Government of India means a project based on a long term contract or<br />

concession agreement, between a Government or statutory entity on the one side and a private<br />

sector company on the other side, for delivering an infrastructure service on payment of user<br />

charges. The concession agreement is specifically targeted towards financing, designing,<br />

implementing and operating infrastructure facilities and the collaborative ventures are built<br />

around mutually agreed allocation of resources, risks and returns. In this paper author highlight<br />

the concept and growth of Public Private Partnership, analysis of various Public Private<br />

Partnership models as per industry requirements, advantages and disadvantages of Public Private<br />

Partnership in developing economy like India, Investigating the problems of Public Private<br />

Partnership model in India and suggesting probable solutions.<br />

KEYWORDS: Economy, Infrastructure, PPP, Projects.<br />

INTRODUCTION<br />

Public Private Partnership is a joint collaboration between public and private sectors so as<br />

meet the paucity of capital investment to fulfill the requirement of infrastructural<br />

development. To bridge the gap of the basic services the Government is using the concept<br />

of PPP. The PPPs have come into existence from over a decade but it has been more<br />

successful from past few years. PPPs are one of the best efforts that have been taken the<br />

Government of India. Such measures are necessary for the growth and development of the<br />

growing economies like India. It has been observed worldwide that it is difficult for the private<br />

sector to meet the financial requirements of infrastructure in isolation at the same time tackling<br />

the risks inherent to building infrastructure. Therefore, the PPP model has come to represent a<br />

logical, viable and necessary option for the Government and the private sector to work together.<br />

Public Private Partnership (PPP) project as per Government of India means a project based on a<br />

long term contract or concession agreement, between a Government or statutory entity on the<br />

one side and a private sector company on the other side, for delivering an infrastructure service


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on payment of user charges. The concession agreement is specifically targeted towards<br />

financing, designing, implementing and operating infrastructure facilities and the collaborative<br />

ventures are built around mutually agreed allocation of resources, risks and returns. These are<br />

collaborative efforts, between private and public sectors, with clearly identified partnership<br />

structures, shared objectives, and specified performance indicators for delivery of services. India<br />

has seen real progress over the last 10 years in attracting private investment into the<br />

infrastructure sectors. All levels of government are aiming to use public private partnerships<br />

(PPPs) more intensively to help meet gaps in the provision of basic services. It in<strong>vol</strong>ves<br />

the private enterprise (in the in<strong>vol</strong>vement of management expertise<br />

and/or monetary contributions) in the government projects aimed at public benefit. The<br />

government remains actively in<strong>vol</strong>ved throughout the project’s life cycle. The private sector is<br />

responsible for the more commercial functions such as project design, construction, finance and<br />

operations. These schemes are sometimes referred to as PPP, P 3, or P3.<br />

In some types of PPP, the cost of using the service is borne exclusively by the users of the<br />

service and not by the taxpayer. In other types (notably the private finance initiative), capital<br />

investment is made by the private sector on the strength of a contract with government to provide<br />

agreed services and the cost of providing the service is borne wholly or in part by the<br />

government. Government contributions to a PPP may also be in kind (notably the transfer of<br />

existing assets). In projects that are aimed at creating public goods like in<br />

the infrastructure sector, the government may provide a capital subsidy in the form of a onetime<br />

grant, so as to make it more attractive to the private investors. In some other cases, the<br />

government may support the project by providing revenue subsidies, including tax breaks or by<br />

providing guaranteed annual revenues for a fixed period.<br />

TABLE 1: ATTRIBUTE COMPARISON BETWEEN PUBLIC, PRIVATE AND PPP<br />

Attribute Public Privatization PPP<br />

Responsibility Govt. Entrepreneur Govt.<br />

Ownership Govt./Public Private sector Govt.<br />

Nature of services Govt. Decided by private Mutual agreement<br />

operator<br />

Risk & reward Govt./Public Private sector Shared between Govt.&<br />

Private party<br />

Source: Report of Government of India Ministry of Finance Department of Economic Affairs,<br />

November 2009<br />

OBJECTIVE OF THE STUDY<br />

The proposed paper work has been carried out with following broad objectives:<br />

1. To study the concept and growth of Public Private Partnership.<br />

2. Analysis of various Public Private Partnership models as per industry requirements.


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3. To study advantages and disadvantages of Public Private Partnership in developing<br />

economy like India.<br />

4. Investigating the problems of Public Private Partnership model in India and suggesting<br />

probable solutions.<br />

GOVERNMENT EFFORTS FOR PROMOTION OF PPP IN INDIA<br />

EFFORTS AT THE CENTRAL GOVERNMENT AND STATE LEVEL<br />

Recognizing that strengthening the capacities of different levels of government to<br />

conceptualize, structure and manage PPPs will lead to more and better PPPs, DEA is<br />

facilitating mainstreaming PPP through Technical Assistance from ADB. The primary<br />

objective is effective institutionalization of the PPP cells to deliver their mandate<br />

through provision of 'in house' consultancy services to each of the selected entities at<br />

the Centre and State level.<br />

TECHNICAL ASSISTANCE<br />

The selected entities will be provided assistance for a period till December 2009 in the form of<br />

‣ One PPP Expert on an individual basis focusing on project financial analysis and risk<br />

management<br />

‣ One Management Information Systems expert focusing on information management.<br />

‣ A panel of three legal experts on retainer basis to provide legal expertise on PPPs.<br />

ELIGIBILITY<br />

The States wishing to avail this Technical Assistance are required to enter into an MOU with<br />

DEA detailing steps that would be taken to promote PPPs in the State. The MOU requires the<br />

State Government to:<br />

‣ Set up a PPP cell as the nodal agency for processing all PPP<br />

projects in the State with a designated PPP Nodal Officer and defined<br />

scope of work<br />

‣ Develop a robust shelf of projects amenable for PPPs and adhere to the following set of<br />

targets on the level of PPPs in the State:<br />

• During 2007-08 bid out at least 3 projects with a total cost of Rs. 750 cr or more in at<br />

least two sectors<br />

• During 2008-09 bid out at least 5 projects with a total cost of Rs.1250 cr or morein at<br />

least three sectors


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• During 2009-10 bid out at least 5 projects with a total cost of Rs. 1500 cr or more in<br />

at least four sectors<br />

‣ Commit to establish such policies and regulatory andgovernance frameworks in the<br />

identified infrastructure sectors toenable a transparent and effective private sector<br />

participation<br />

‣ Prepare a 'Plan of PPP projects' in conjunction with its Annual Plan.<br />

COMMIT TO<br />

‣ Adopt standard concession agreements for PPP projects in defined infrastructure sectors<br />

‣ Adopt competitive bidding procedure for bidding and awarding of infrastructure projects<br />

under defined rules and procedures according to best <strong>international</strong> commercial practices<br />

and GOI guidelines<br />

‣ Designate a State-level dispute resolution mechanism for the speedy resolution of<br />

disputes relating to PPP projects<br />

‣ Adopt formal State policies on environment, resettlement and social safeguards with<br />

respect to the implementation of infrastructure projects, according to best <strong>international</strong><br />

commercial practices.<br />

OUTCOMES<br />

The Technical Assistance aims to:<br />

‣ Help the participating State to implement PPP schemes effectively and efficiently<br />

‣ Enhance capacity of PPP cells in participating entities to prepare, evaluate and appraise<br />

PPPs in infrastructure.<br />

‣ Significantly improve monitoring of overall progress in PPPs in infrastructure at both<br />

central and state levels through well-knit databases.<br />

‣ Increase awareness among potential private sector partners about the project cycle of PPP<br />

projects in infrastructure and the expectations of Government with respect to value for<br />

money.<br />

‣ Over the long term, an increase in private sector participation in infrastructure<br />

development and management throughout the country.<br />

INDIA INFRASTRUCTURE PROJECT DEVELOPMENT FUND:<br />

Finance Minister in his Budget 2007-08 speech announced the setting up of IIPDF in DEA with<br />

an initial corpus of Rs. 100 cr for supporting the development of credible and bankable PPP


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projects that can be offered to the private sector. The IIPDF will be available to the Sponsoring<br />

Authorities for PPP projects for the purpose of meeting the project development costs which may<br />

include the expenses incurred by the Sponsoring Authority in respect of feasibility Studies,<br />

environment impact studies, financial structuring, legal reviews and development of project<br />

documentation including concession agreement, commercial assessment studies (including<br />

traffic studies, demand assessment, capacity to pay assessment) etc. required for achieving<br />

technical close of such projects, on individual or turnkey basis, but would not include expenses<br />

incurred by the Sponsoring Authority on its own staff.<br />

ELIGIBILITY FOR IIPDF<br />

‣ Sponsors to include Central Government Ministries/Departments, State Governments,<br />

Municipal or Local Bodies or any other Statutory Authority.<br />

‣ Necessary for the sponsoring authority to create and empower a PPP cell to not only<br />

undertake PPP project development activities but also address larger policy and<br />

regulatory <strong>issue</strong>s to enlarge the number of PPP projects in its shelf.<br />

‣ The IIPDF will finance an appropriate portion of the Transaction Advisor costs on a PPP<br />

Project where such Transaction Advisors are appointed by the Sponsoring Authority<br />

through a transparent system of procurement under a contract for services.<br />

GOVERNMENT SUPPORT FOR IIPDF<br />

‣ IIPDF will contribute upto 75% of the project development expenses to the Sponsoring<br />

Authority as an interest free loan. 25% will be co-funded by the Sponsoring Authority.<br />

‣ On successful completion of the bidding process, the project development expenditure<br />

would be recovered from the successful bidder. However, in the case of failure of the bid,<br />

the loan would be converted into grant. In case the Sponsoring Authority does not<br />

conclude the bidding process for some reason, the entire amount contributed would be<br />

refunded to the IIPDF.<br />

TRANSACTION ADVISERS FOR PPP PROJECTS:<br />

The Government has pre-qualified a panel of firms through International Competitive Bidding.<br />

The short listed consultants have been evaluated for their capability and experience in<br />

discharging a lead role in PPP transactions. The panel is intended to:<br />

‣ Streamline the tendering process for the engagement of transaction advisers for PPPs.<br />

‣ Enable fast access to firms that have pre qualified against relevant criteria.<br />

‣ Ensure transparency and accountability through clear definition of the processes and the<br />

role and responsibilities of the agencies and the private sector.


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This panel is available to all Central, State and Municipal Governments who are undertaking<br />

PPP transactions. They would be able to select any of the consultants from this panel through a<br />

limited financial bid without having to go through the lengthy and more complex technical bid.<br />

Firms on the panel will contract directly with the agencies concerned for provision of transaction<br />

management services. DEA would be kept informed on the use being made of the panel, and the<br />

performance of panel members. States can draw upon IIPDF to incur expenditure on hiring of<br />

Transaction Advisors.<br />

DEVELOPMENT AND USE OF PPPS FOR DELIVERING INFRASTRUCTURE<br />

SERVICES<br />

Development and use of PPPs for delivering infrastructure services has now at least 11 years of<br />

precedence in India, with the majority of projects coming in line in the last 5 years. Policies in<br />

favor of attracting private participation as well as innovation with different structures have met<br />

with varying degrees of success. Some sectors like power, and ports and roads, have done very<br />

good progress compared to limited success in other sectors.<br />

TABLE 2: TOTAL NUMBER OF PPP PROJECTS (STATE WISE)<br />

S T A T E W I S E F I G U R E S<br />

States<br />

Total Number of Projects based on value of contracts<br />

Total<br />

Number<br />

of<br />

Project<br />

s<br />

Based<br />

on 100<br />

crore<br />

Betwee<br />

n 100 to<br />

250<br />

crore<br />

Between<br />

251 to<br />

500<br />

crore<br />

More<br />

than<br />

500 crore<br />

Value of<br />

contacts<br />

Andhra Pradesh 63 1062.93 1554.27 3188.53 33473.7 39279.43<br />

Bihar 2 4 0 418.04 0 422.04<br />

Chandigarh 14 15 0 0 0 15<br />

Chhattisgarh 4 70 304 464 0 838<br />

Delhi 9 95 0 408.2 10374 10877.2<br />

Goa 2 30 220 0 0 250<br />

Gujarat 27 130.06 277.22 3360.9 14943.71 18711.89<br />

Haryana 2 0 0- 756 0 756<br />

Jharkhand 6 131 550 0 0 681<br />

Karnataka 95 980.39 1692.55 12203.31 24615.6 39491.85<br />

Kerala 11 114 112 615.5 11131 11972.5<br />

Madhya 37 1027.32 1117.28 2694.95 2949 7788.55<br />

Pradesh<br />

Maharashtra 285 118.5 745.5 1099.84 32061.95 34025.79<br />

Orissa 16 235.1 0 500 6888.34 7623.44<br />

Pudducherry 2 0 0 419 1867 2286<br />

Punjab 19 537.26 434.72 572 0 1543.98


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Rajasthan 49 523.92 783.79 833 3112.7 5253.41<br />

Sikkim 24 175.59 558 2669 13708 17110.59<br />

Tamil Nadu 30 143.31 555.6 6412.87 5340 12451.78<br />

Uttar Pradesh 5 0 0 1458.57 649.21 2107.78<br />

West Bengal 5 0 200 1214.4 641 2<strong>05</strong>5.4<br />

Inter-State 13 160.45 195 2294.67 5984 8634.12<br />

Total 450 5638.8<br />

3<br />

Source: http://www.pppinindia.com/<br />

9299.93 41582.7<br />

8<br />

TABLE 3: SECTOR WISE PPP PROJECTS<br />

167739.2<br />

1<br />

224175.<br />

8<br />

S E C T O R<br />

W I S E F I G U R E S<br />

Sector<br />

Total<br />

Numbe<br />

r of<br />

Project<br />

s<br />

Based<br />

on 100<br />

crore<br />

Betwee<br />

n 100<br />

to 250<br />

crore<br />

Between<br />

251 to<br />

500<br />

crore<br />

More<br />

than 500<br />

crore<br />

Value<br />

of<br />

contacts<br />

Airports 5 0 0 303 18808 19111<br />

Education 1 93.32 0 0 0 93.32<br />

Energy 24 175.59 558 2669 13708 17110.59<br />

Ports 43 96 970 2440 62992.95 66498.95<br />

Railways 4 0 102.22 9<strong>05</strong> 594.34 16<strong>01</strong>.56<br />

Roads 271 3162.5 5526.49 32861.87 60453.92 102004.7<br />

Tourism 29 742.56 674.52 0 1<strong>05</strong>0 2467.08<br />

Urban<br />

73 1283.86 1468.7 2403.91 1<strong>01</strong>32 15288.47<br />

Development<br />

Total 450 5638.8<br />

3<br />

9299.93 41582.7<br />

8<br />

167739.2<br />

1<br />

224175.<br />

8<br />

Source: http://www.pppinindia.com/<br />

We see that road projects account for 60% of the total number of projects and 45% by total value<br />

because of the small average size of projects. Ports though account for 10% of the total number<br />

of projects have a larger average size of project and contribute 30% in terms of total value. It is<br />

noteworthy that if ports and central road projects are excluded from the total, there is in fact a<br />

relatively small value of deal flow, at only Rs 55757.02 Crores in basic infrastructure PPPs todate,<br />

suggesting a significant potential upside for PPP projects across sectors where states and<br />

municipalities have primary responsibility. The potential use of PPPs in e-governance and health<br />

and education sectors remains largely untapped across India as a whole, though off-late there<br />

have been some activities shaping in these sectors. Across states and central agencies, the leading


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users of PPPs by number of projects have been Karnataka, Andhra Pradesh, and Rajasthan, with<br />

95, 63 and 49 awarded projects respectively and the National Highways Authority of India<br />

(NHAI), with about 77 projects. In terms of main types of PPP contracts, almost all contracts<br />

have been of the BOT/BOOT type (either toll or annuity payment models) or close variants. In<br />

terms of approach to provider selection, almost all the projects in the sample were competitively<br />

bid (either national or <strong>international</strong> competitive bidding) with the negotiated ones (through<br />

MOUs) primarily coming from the railway PPP projects, which is understandable given the lack<br />

of clear policy framework and standard contract still date. In terms of contract award method the<br />

International Competitive Bidding yielded 39% of total investment in India followed by<br />

Domestic Competitive Bidding with 33%.<br />

Sector<br />

TABLE 4: SECTOR WISE CONTRACT AWARD METHOD<br />

Total<br />

Numb<br />

er<br />

of<br />

Projec<br />

ts<br />

SECTOR WISE CONTRACT AWARD METHOD<br />

Total Number of Projects based on Contract<br />

Award Method<br />

Domestic<br />

Competitive<br />

Bidding<br />

International<br />

Competitive<br />

Bidding<br />

Negotiated<br />

MOU<br />

Value<br />

of<br />

Contra<br />

cts (Rs.<br />

Crore)<br />

Airports 5 0 18808 0 19111<br />

Education 1 93.32 0 0 93.32<br />

Energy 24 100 0 16<strong>01</strong>4.59 17110.59<br />

Ports 43 4816 24037 34591.95 66498.95<br />

Railways 4 696.56 0 9<strong>05</strong> 16<strong>01</strong>.56<br />

Roads 271 62779.2 34161.9 1259.2 102004.7<br />

8<br />

Tourism 29 1367.76 982.32 0 2467.08<br />

Urban<br />

Developm<br />

ent<br />

73 4645.83 9758.91 15 15288.47<br />

Total 450 74583.67 87748.13 52785.74 224175.<br />

8<br />

Source: http://www.pppinindia.com/<br />

The primary reason for project being implemented through PPP has been qualitative benefits<br />

accrued from the project, it remains to be seen if these decisions are based on clear value-formoney<br />

calculations for the conceding authority. There is also relatively little available in terms<br />

of information on the actual contracts used.


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DOMESTIC VERSUS FOREIGN PRIVATE PLAYERS PARTICIPATION IN PPP<br />

PROJECTS<br />

Private sector targeted towards financing, designing, implementing, and operating infrastructure<br />

facilities and services that were traditionally provided by the public sector have been a success<br />

story so far with the Government of India leading the process of promoting Public Private<br />

Partnerships (PPPs) in India. The Central Government is working with the State Governments<br />

and all other stakeholders to expand the horizon of PPPs in infrastructure development in the<br />

country. It has created a favorable atmosphere, provided fiscal incentives and facilitated funding<br />

of PPP projects. The Government now allows FDI in most infrastructure sectors to the extent of<br />

100 percent. The crucial initiatives to operational and institutionalize the flow of private capital<br />

for accelerated infrastructure development in the country through PPPs, has led to an investment<br />

of Rs. 135871.42 crore as per the sample of 300 in the PPP database.<br />

CHART 1: FOREIGN VS. DOMESTIC NUMBER OF PPP PROJECTS<br />

Foreign versus domestic number of PPP projects in India<br />

7%<br />

foreign investor<br />

indian private investor<br />

93%<br />

Source: www.hm-treasury.gov.uk/ppp_index.htm<br />

CHART 2: SECTOR WISE DOMESTIC PLAYER IN PPP PROJECTS<br />

Sector-wise domestic player investment in PPP projects<br />

1775, 1%<br />

1007, 1%<br />

19111, 14%<br />

17802, 13%<br />

51398, 39%<br />

roads<br />

ports<br />

airports<br />

energy<br />

urban development<br />

railways<br />

43<strong>05</strong>3, 32%<br />

Source: www.hm-treasury.gov.uk/ppp_index.htm


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TABLE 5: DOMESTIC PLAYERS IN PPP PROJECTS<br />

Domestic players in PPP projects<br />

Domestic players<br />

Investment by<br />

private player<br />

(Rupees in crore)<br />

Number of<br />

projects<br />

Major domestic players<br />

Larsen & Toubro Transportation<br />

3497.95 10<br />

Infrastructure Ltd.<br />

GMR Infrastructure Ltd. 1287.98 6<br />

IVRCL Infrastructure & Projects Ltd. 936.6 4<br />

Small domestic players<br />

DS Constructions 319.42 4<br />

Sadbhav Engineering Limited 2085.68 11<br />

MSK Projects (India) Limited 238.84 15<br />

Total 8366.47 50<br />

Source: Report of Government of India Ministry of Finance Department of Economic Affairs,<br />

November 2009<br />

TABLE 6: INVESTMENT IN PPP PROJECTS<br />

Foreign versus domestic investment in PPP projects in India<br />

Investor Type<br />

Total<br />

Investment<br />

% of total<br />

number of<br />

projects<br />

% of total<br />

project cost<br />

Foreign Investor 1725.85 7% 1%<br />

Indian Private Investor 134145.57 93% 99%<br />

Total 135871.42 100% 100%<br />

Source: Report of Government of India Ministry of Finance Department of Economic Affairs,<br />

November 2009<br />

PPP PROJECT CONTRIBUTIONS<br />

PPPs do not mean reduced responsibility and accountability of the Government. The<br />

Government remains accountable for service quality, price certainty and cost-effectiveness<br />

(value for money) of the partnership. Government's role is one of facilitator and enabler by<br />

assuming social, environmental and political risks; private partner's role is one of financier,<br />

builder and operator of the service or facility and it typically assumes construction and<br />

commercial risk. Resources required by the project in totality along with the accompanying risks<br />

and rewards/returns are shared on the basis of a pre- determined, agreed formula, which is<br />

formalized through a contract. Since the private sector assumes the risk of non-performance of<br />

assets and realizes its returns if the assets perform, the PPP process in<strong>vol</strong>ves a full scale risk<br />

appraisal. This results in better cost estimation and better investment decisions. PPPs deliver<br />

efficiency gains and enhanced impact of the investments. PPP projects also lead to faster


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implementation, reduced lifecycle costs and optimal risk allocation. Private management also<br />

increases accountability and incentivizes performance and maintenance of required service<br />

standards. Finally, PPPs result in improved delivery of public services and also promote public<br />

sector reforms. PPP does not in<strong>vol</strong>ve outright sale of a public service or facility to the private<br />

sector. Private Sector Company in a PPP means a company in which 51% or more of the<br />

subscribed and paid up equity is owned and controlled by a private entity.<br />

RISK & REVENUE SHARING<br />

Construction/implementation risk, arising from:<br />

‣ delay in project clearance;<br />

‣ contractor default;<br />

‣ environmental damage<br />

Market risk, arising from:<br />

‣ insufficient demand;<br />

‣ Impractical user levies.<br />

Finance risk, arising from:<br />

‣ inflation;<br />

‣ change in interest rates;<br />

‣ increase in taxes<br />

‣ Change in exchange rates.<br />

Operation and maintenance risk, arising from:<br />

‣ termination of contract;<br />

‣ technology risk;<br />

‣ labour risk.<br />

Legal risk, arising from:<br />

‣ changes in law;<br />

‣ changes in title/lease rights;<br />

‣ insolvency of developer/service provider;


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‣ change in security structure.<br />

PPP PROJECT PROCESS<br />

CONCLUSION<br />

India has witnessed an absolute metamorphosis over the last decade. Sprawling cities, flourishing<br />

businesses, higher standard of living are all indicators of unprecedented growth, globalization,<br />

urbanization, expansion and diversification. Infrastructure modernization and development is<br />

said to be the key driver of all the growth and economic activity. The public sectors alone can’t<br />

meet the required funds and technology for the projects. So the Government decided to<br />

accomplish this business by collaborating with the sector which could provide this requirement<br />

which was none other than the private parties. Thus PPP emerged as a joint collaboration of the<br />

public and private sectors. The Indian infrastructure sector is at an inflection point and there are<br />

immense opportunities for the private sector. The PPP has come in to existence from over a<br />

decade but it has shown remarkable results in past 5-6 years. Almost every sector is covered<br />

where PPP needs to be implemented. Many foreign companies also show their interests but their<br />

participation is not much as the domestic private companies. The sectors covered in this research<br />

are health, education, power and transport.


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Indian infrastructure growth has reached massive heights. Most PPPs have been restricted to the<br />

roads sector. And the sector still has lot of scope and the measures are taken also by the PPPs to<br />

achieve it. Ambitious project plans have been developed for various transport sectors to bridge<br />

the infrastructure gap. The sectors are booming but there are hindrances and constraints persist<br />

threatening to slow down growth in the smooth development of world-class infrastructure. This<br />

is because the private sectors which are in<strong>vol</strong>ved in the PPPs have the prime motive of profit<br />

making rather than doing any social work. The companies which have the close contact with<br />

political parties can also take up a project with a view of making lot of profits. If the project<br />

reaches in the wrong hands that are if the tender is passed to a wrong person he may severely<br />

cause problems. But the Government is controlling all these constraints to have successful<br />

examples in PPP and heading towards the economic development of the country. It has taken<br />

various steps to accomplish the projects successful.<br />

REFERENCES<br />

1. report of government of india ministry of finance department of economic affairs,<br />

november 2009<br />

2. www.pppinindia.com<br />

3. www.hm-treasury.gov.uk/ppp_index.htm<br />

4. www.ifc.org/ifcext/eastasia.nsf/Content/<br />

5. Infrastructure<br />

6. http://rru.worldbank.org/PapersLinks<br />

7. http://rru.worldbank.org/Toolkits/<br />

8. http://rru.worldbank.org/PublicPolicy<br />

9. Journal<br />

10. http://rru.worldbank.org/Privatization<br />

11. www.ppiaf.org/<br />

12. http://pppue.undp.org/toolkit/MOD112.<br />

13. html<br />

14. www.usaid.gov/our_work/economic_<br />

15. growth_and_trade/eg/privatization.htm


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ABSTRACT<br />

A STUDY ON SOCIO-ECONOMIC CHARACTERISTICS OF<br />

INDIAN SHARE MARKET INVESTORS<br />

[WITH SPECIAL REFERENCE TO COIMBATORE]<br />

K.C.JOHN SASI KUMAR*; DR.P.VIKKRAMAN**<br />

*PhD Research Scholar, Velammal College of Engg.& Tech., Anna University,<br />

Coimbatore - 47, Madurai - 9.<br />

**Professor, School of Management Studies, Anna University,<br />

Coimbatore - 9.<br />

This paper while discussing the characteristics of the Indian individual investors along makes an<br />

attempt to discover the relationship between a dependent variable like Risk Tolerance level and<br />

independent variables such as Age, Gender of an individual investor on the basis of the survey.<br />

Indian investors are high income, well educated, salaried, and independent in making investment<br />

decisions and conservative investors. The research design constitutes the blue print for the data<br />

collection, measurement and analysis of data. The descriptive research design has been employed<br />

for the present study. It is the overall operational pattern or framework of the research that<br />

stipulates what information is to be collected from which sources by what procedures. The<br />

results indicate that majority of the investors are regular traders.<br />

KEYWORDS: Investors, Share market, CSE.<br />

INTRODUCTION<br />

There is an extraordinary growth in the investment sector both in terms of <strong>vol</strong>ume and number of<br />

investors in India over the past decade due to the deregulation of Indian financial sector. There is<br />

a spurt of various investment products with numerous options to lure the investors to invest. The<br />

commodity market is getting momentum, the reality market is booming, the Gold market is at its<br />

peak, the capital market reforms also boosted the investors to invest huge fund in share market,<br />

the advancement in technology also heighten the investment opportunities to the small and<br />

medium investors at present.<br />

The number of regional stock exchanges in India has increased to 22. Equity shares as an<br />

investment option has come a long way from the mere higher dividend expectations to the<br />

greater capital appreciation. Price discovery through Book Building process has given<br />

tremendous boost to the Initial public offers (IPO) and further public offers (FPO).<br />

The structure of the Indian investment market -Investor, Issuer, intermediaries and<br />

Regulator, has strengthened by the SEBI Act and their continuous monitoring and various<br />

regulatory reforms. The pattern and dimension of investment has changed over time. The<br />

investment Scenario of Indian Financial market wears a new look, with a overwhelming response


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not only from the Indian investors but also from foreign institutional investors. The quality of<br />

ever changing regulations, the payment guarantee by the depositories, Productive in<strong>vol</strong>vement of<br />

the Government, vibrant intermediaries and up to date and technologically advanced exchanges,<br />

all have instilled a sense of confidence among the investors in India.<br />

A stock market or equity market is a public entity for the trading of company stock<br />

(shares) and derivatives at an agreed price; these are securities listed on a stock exchange as well<br />

as those only traded privately. The size of the world stock market was estimated at about<br />

$36.6 trillion at the start of October 2008. The total world derivatives market has been estimated<br />

at about $791 trillion face or nominal value 11 times the size of the entire world economy. The<br />

value of the derivatives market, because it is stated in terms of notional values, cannot be directly<br />

compared to a stock or a fixed income security, which traditionally refers to an actual value.<br />

Moreover, the vast majority of derivatives 'cancel' each other out (i.e., a derivative 'bet' on an<br />

event occurring is offset by a comparable derivative 'bet' on the event not occurring). Many such<br />

relatively illiquid securities are valued as marked to model, rather than an actual market price.<br />

Participants in the stock market range from small individual stock investors to large<br />

hedge fund traders, who can be based anywhere. Their orders usually end up with a professional<br />

at a stock exchange, who executes the order.<br />

Some exchanges are physical locations where transactions are carried out on a trading<br />

floor, by a method known as open outcry. This type of auction is used in stock exchanges and<br />

commodity exchanges where traders may enter "verbal" bids and offers simultaneously. The<br />

other type of stock exchange is a virtual kind, composed of a network of computers where trades<br />

are made electronically via traders.<br />

Actual trades are based on an auction market model where a potential buyer bids a<br />

specific price for a stock and a potential seller asks a specific price for the stock. (Buying or<br />

selling at market means you will accept any ask price or bid price for the stock, respectively.)<br />

When the bid and ask prices match, a sale takes place, on a first-come-first-served basis if there<br />

are multiple bidders or askers at a given price.<br />

The purpose of a stock exchange is to facilitate the exchange of securities between buyers<br />

and sellers, thus providing a marketplace (virtual or real). The exchanges provide real-time<br />

trading information on the listed securities, facilitating price discovery.<br />

This paper while discussing the characteristics of the Indian individual investors along<br />

makes an attempt to discover the relationship between a dependent variable like Risk Tolerance<br />

level and independent variables such as Age, Gender of an individual investor on the basis of the<br />

survey. Indian investors are high income, well educated, salaried, and independent in making<br />

investment decisions and conservative investors.<br />

REVIEW OF LITERATURE<br />

Horvath and Zuckerman (1993) suggested that one’s biological, demographic and<br />

socioeconomic characteristics; together with his/her psychological makeup affects one’s risk<br />

tolerance level. Malkiel (1996) suggested that an individual’s risk tolerance is related to his/her


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household situation, lifecycle stage and subjective factors. Mittra (1995) discussed factors that<br />

were related to individuals risk tolerance, which included years until retirement, knowledge<br />

sophistication, income and net worth.<br />

Literature suggests that major research in the area of investors’ behavior has been done by<br />

behavioral scientists such as Weber (1999), Shiller (2000) and Shefrin (2000). Shiller (2000)<br />

who strongly advocated that stock market is governed by the market information which directly<br />

affects the behavior of the investors. Several studies have brought out the relationship between<br />

the demographics such as Gender, Age and risk tolerance level of individuals. Of this the<br />

relationship between Age and risk tolerance level has attracted much attention.<br />

Guiso, Jappelli and Terlizzese (1996), Bajtelsmit and VenDerhei (1997), Powell and Ansic<br />

(1997), Jianakoplos and Bernasek (1998), Hariharan, Chapman and Domain (2000), Hartog,<br />

Ferrer-I-Carbonell and Jonker (2002) concluded that males are more risk tolerant than females.<br />

Wallach and Kogan (1961) were perhaps the first to study the relationship between risk<br />

tolerance and age. Cohn, Lewellen et.al found risky asset fraction of the portfolio to be positively<br />

correlated with income and age and negatively correlated with marital status. Morin and Suarez<br />

found evidence of increasing risk aversion with age although the households appear to become<br />

less risk averse as their wealth increases. Yoo (1994) found that the change in the risky asset<br />

holdings were not uniform. He found individuals to increase their investments in risky assets<br />

throughout their working life time, and decrease their risk exposure once they retire. Lewellen<br />

et.al while identifying the systematic patterns of investment behavior exhibited by individuals<br />

found age and expressed risk taking propensities to be inversely related with major shifts taking<br />

place at age 55 and beyond.<br />

Indian studies on individual investors' were mostly confined to studies on share ownership,<br />

except a few. The RBI's survey of ownership of shares and L.C. Gupta's enquiry into the<br />

ownership pattern of Industrial shares in India were a few in this direction. The NCAER's studies<br />

brought out the frequent form of savings of individuals and the components of financial<br />

investments of rural households. The Indian Shareowners Survey brought out a <strong>vol</strong>ley of<br />

information on shareowners. Rajarajan V (1997, 1998, 2000 and 2003) classified investors on the<br />

basis of their demographics. He has also brought out the investors' characteristics on the basis of<br />

their investment size. He found that the percentage of risky assets to total financial investments<br />

had declined as the investor moves up through various stages in life cycle. Also investors'<br />

lifestyles based characteristics has been identified. The above discussion presents a detailed<br />

picture about the various facets of risk studies that have taken place in the past. In the present<br />

study, the findings of many of these studies are verified and updated.<br />

STUDY AREA<br />

Coimbatore District is one of the more affluent and industrially advanced districts of the<br />

state of Tamil Nadu in India. It has the highest GDP among the districts of Tamil Nadu, even<br />

ahead of the state capital Chennai. The headquarters of the district is Coimbatore city, the second


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largest city in Tamil Nadu, which is highest revenue yielding district in the state, next to<br />

Chennai.<br />

It had a population of 2916620 as of 20<strong>01</strong>, with a decennial growth rate of 21.76 per cent.<br />

The literacy rate of the district is 69 per cent. Textiles are the major industry in the Coimbatore<br />

district; it is one of the important textile hubs of India. Coimbatore is also called the "Manchester<br />

of South India" because it houses many textile industries. In the rain shadow region of the<br />

Western Ghats, Coimbatore enjoys a very pleasant climate all the year round, aided by the fresh<br />

breeze that flows through the 25 kms long Palakkad gap. The rich black soil of the region has<br />

contributed to Coimbatore's flourishing agriculture industry and it is in fact the successful growth<br />

of cotton that served as a foundation for the establishment of its famous textile industry. The<br />

result has been a strong economy and a reputation as one of the greatest industrial cities in South<br />

India.<br />

There are more than 25000 small, medium, large sale industries and textile mill.<br />

Coimbatore is also famous for the manufacture of motor pump sets and varied engineering<br />

goods. There are many electric pump manufacturing companies in and around Coimbatore, such<br />

as Deccan, CRI, Texmo, KSB, Sharp. Coimbatore also houses some auto component<br />

manufacturing brands, such as Roots, Pricol and LGB. German auto component major Robert<br />

Bosch started their Research and Development facility in Coimbatore. Coimbatore also houses<br />

many Information Technology and Business Process Outsourcing companies, such as Cognizant<br />

Technology Solutions and Perot Systems.<br />

COIMBATORE STOCK EXCHANGE LIMITED<br />

The Coimbatore Stock Exchange Limited, (CSX) is located in Coimbatore, Tamilnadu,<br />

India. It is the youngest stock exchange in India. It was founded by K.G. Balakrishnan. The<br />

Exchange has successfully implemented Screen Based Trading (SBT) system and commenced its<br />

operations with effect from 9 th October, 1996. The system is capable of handling 25000 trades<br />

per day. All the members of the Exchange are connected in a Local Area Network (LAN). The<br />

system can be expanded to handle up to 400 members.<br />

The SBT system has been interfaced with the existing settlement system. The margins are<br />

monitored online on the SBT system. Each member is given a computer terminal, telephone<br />

connections which are accommodated in a cubicle. The communication facilities include the<br />

terminals of Reuters and Knight Ridder constantly updating economic and capital market related<br />

news. CSX is the youngest Stock Exchange in India. CSX was founded by K.G.Balakrishnan<br />

(founder president) and his group and is now governed by the Governing Board consisting of the<br />

member brokers.<br />

Currently the segregation of Coimbatore Stock Exchange is as follows:<br />

Individual Members - 136


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Corporate Members - 57<br />

Chartered Accountants/ Company Secretaries - 40<br />

MBAs - 17<br />

Engineers - 14<br />

Cost Accountants - 10<br />

Post Graduates - 25<br />

Coimbatore Stock Exchange Facilities Coimbatore Stock Exchange provides well<br />

equipped facilities to its members and investors. The facilities are library, canteen, spacious<br />

parking area, STD and Internet booths, Bank with security lockers, conference hall, gymnasium<br />

and other necessary services.<br />

In near future, the exchange is planning for the implementation of Interconnected Stock<br />

Exchange to bring more business to the centre. Apart from the infrastructure, the exchange is<br />

planning for the set up of a Training Academy, Software Development, Research Centre and<br />

other useful activities. It also has a plan to set up Additional Trading Floor (ATF) which will<br />

bring more traffic to the CSE building. Wide Area Networks through VSATs are also in the<br />

planning card.<br />

RESEARCH METHODOLOGY<br />

The research design constitutes the blue print for the data collection, measurement and<br />

analysis of data. The descriptive research design has been employed for the present study. It is<br />

the overall operational pattern or framework of the research that stipulates what information is to<br />

be collected from which sources by what procedures.<br />

Among the regional stock exchanges in India, the Coimbatore has been purposively<br />

selected for the present study. The share brokers and investors have been selected by adopting<br />

stratified random sampling technique through pre-tested, structured interview schedule through<br />

direct interview method. The data and information have been collected from 150 share brokers<br />

and 450 investors, thus, the total sample size for the present study is 600. The data and<br />

information collected from share brokers and investors pertains to the year 2009-2<strong>01</strong>1.<br />

DATA ANALYSIS<br />

The socio-economic characteristics of investors were analyzed and the results are<br />

discussed in the following sub-headings.


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GENDER<br />

The distribution of gender of investors was analyzed and the results are presented in Table1<br />

TABLE-1 DISTRIBUTION OF GENDER OF INVESTORS<br />

Gender Frequency Per Cent Chi-Square Value Sig<br />

Male 351 78.00<br />

Female 99 22.00<br />

0.<strong>01</strong> 0.02<br />

Total 450 100.00<br />

Source: Primary & Computed Data<br />

From the above table, the results show that about 78.00 per cent are males while the rest<br />

of 22.00 per cent are females.<br />

The chi-square value of 0.<strong>01</strong> is significant at five per cent level indicating that there is a<br />

significant difference among the gender of investors. The distribution of gender of investors is<br />

graphically presented in Figure-1.<br />

DISTRIBUTION OF AGE OF THE INVESTORS<br />

The distribution of age of investors was analyzed and the results are presented in Table .2.<br />

TABLE-.2. DISTRIBUTION OF AGE OF INVESTORS<br />

Age(Years) Frequency Per Cent Chi-Square<br />

Value<br />

Sig<br />

50 23 5.11<br />

Total 450 100.00<br />

Source: Primary & Computed Data<br />

From the results, it is observed that about 61.33 per cent of investors belong to the age<br />

group of 31-40 years followed by 41-50 years (18.00 per cent), less than 30 years (15.56 per<br />

cent) and more than 50 years (5.11 per cent).


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The chi-square value of 0.03 is significant at five per cent level indicating that there is a<br />

significant difference among the age group of investors and the same is graphically shown in<br />

Figure-2.<br />

EDUCATIONAL QUALIFICATION OF THE INVESTORS<br />

The distribution of educational qualification of investors was analyzed and the results are<br />

presented in Table 3.<br />

TABLE-3. DISTRIBUTION OF EDUCATIONAL QUALIFICATION OF<br />

INVESTORS<br />

Educational Qualification Frequency Per Cent Chi<br />

Square<br />

Value<br />

Sig<br />

Secondary 21 4.70<br />

Higher Secondary 47 10.40<br />

Under Graduation 145 32.20<br />

0.04 0.03<br />

Post Graduation 219 48.70<br />

Doctorate 18 4.00<br />

Total 450 100.00<br />

Source: Primary & Computed Data


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From the results, it is apparent that about majority of investors (48.70 per cent) are post<br />

graduates followed by under graduation (32.20 per cent), higher secondary (10.40 per cent),<br />

secondary (4.70 per cent) and doctorate (4.00 per cent).<br />

The chi-square value of 0.04 is significant at five per cent level indicating that there is a<br />

significant difference among the educational qualification of investors and the same is depicted<br />

in Figure-3.<br />

OCCUPATION OF THE RESPONDENTS<br />

The distribution of occupation of investors was analyzed and the results are presented in<br />

Table .4.<br />

The results indicate that about 14.70 per cent of investors are having occupation in<br />

banking followed by State Government (12.70 per cent), business (12.40 per cent), telecom<br />

(10.40 per cent) and teaching (10.20 per cent).<br />

The results also show that the occupation of investors is varying from Central<br />

Government (7.60 per cent) to doctor (3.10 per cent). The rest of the investors are having the<br />

occupation of insurance and real estate (7.30 per cent), accountant (5.10 per cent), auditor (4.90<br />

per cent) and lawyer (4.20 per cent)


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TABLE-4. DISTRIBUTION OF OCCUPATION OF INVESTORS<br />

Occupation Frequency Per Cent Chi-Square<br />

Value<br />

Sig<br />

Accountant 23 5.10<br />

Lawyer 19 4.20<br />

Auditor 22 4.90<br />

Banking 66 14.70<br />

Business 56 12.40<br />

Central Government 34 7.60<br />

Doctor 14 3.10<br />

0.11 0.03<br />

Insurance 33 7.30<br />

Teaching 46 10.20<br />

Real Estate 33 7.30<br />

State Government 57 12.70<br />

Telecom 47 10.40<br />

Total 450 100.00<br />

Source: Primary & Computed Data<br />

The chi-square value of 0.11 is significant at five per cent level indicating that there is a<br />

significant difference among occupation of investors. The distribution of occupation of investors<br />

is depicted in Figure-4.


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MARITAL STATUS<br />

The distribution of marital status of investors was analyzed and the results are presented<br />

in Table 5.<br />

TABLE-5. DISTRIBUTION OF MARITAL STATUS OF INVESTORS<br />

Marital Status Frequency Per Cent Chi Square<br />

Value<br />

Sig<br />

Married 403 89.60<br />

Unmarried 47 10.40<br />

0.02 0.03<br />

Total 450 100.00<br />

Source: Primary & Computed Data<br />

The results show that majority of the investors (89.60 per cent) are married while the rest<br />

of 10.40 per cent of investors are unmarried.<br />

The chi-square value of 0.02 is significant at five per cent level indicating that there is a<br />

significant difference among the marital status of investors and the same is graphically presented<br />

in Figure-5.


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ANNUAL INCOME<br />

The distribution of annual income of investors was analyzed and the results are presented<br />

in Table 6.<br />

TABLE-6. DISTRIBUTION OF ANNUAL INCOME OF INVESTORS<br />

Annual Income<br />

Frequency Per Cent F- Value Sig<br />

(Rs in Lakhs)<br />

< 2.00 17 3.78<br />

2.<strong>01</strong>-4.00 196 43.56<br />

4.<strong>01</strong>-6.00 200 44.44<br />

11.542 0.03<br />

> 6.00 37 8.22<br />

Total 450 100.00<br />

Source: Primary & Computed Data


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From the results, it is apparent that about 44.44 per cent of investors belong to the income<br />

group of Rs. 4.<strong>01</strong>-6.00 lakhs followed by Rs.2.<strong>01</strong>-4.00 lakhs (43.56 per cent), more than six<br />

lakhs (8.22 per cent) and less than two lakhs (3.78 per cent).<br />

The F- value of 11.542 is significant at five per cent level indicating that there is a<br />

significant difference among annual income of investors and the same is graphically depicted in<br />

Figure-6.<br />

ANNUAL FAMILY INCOME<br />

The distribution of annual family income of investors was analyzed and the results are<br />

presented in Table 7.<br />

TABLE-7. DISTRIBUTION OF ANNUAL FAMILY INCOME OF INVESTORS<br />

Annual Family Income<br />

Frequency Per Cent F- Value Sig<br />

(Rs in Lakhs)<br />

< 3.00 34 7.56<br />

3.<strong>01</strong>-5.00 200 44.44<br />

5.<strong>01</strong>-7.00 192 42.67<br />

10.984 0.02<br />

> 7.00 24 5.33<br />

Total 450 100.00<br />

Source: Primary & Computed Data


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From the results, it is clear that about 44.44 per cent of investors belong to the annual<br />

family income group of Rs. 3.<strong>01</strong>-5.00 lakhs followed by Rs.5.<strong>01</strong>-7.00 lakhs (42.67 per cent), less<br />

than three lakhs (7.56 per cent) and more than seven lakhs (5.33 per cent).<br />

The F- value of 10.984 is significant at five per cent level indicating that there is a<br />

significant difference among annual family income of investors and the same is graphically<br />

shown in Figure-7.<br />

FAMILY SIZE<br />

The distribution of family size of investors was analyzed and the results are presented in<br />

Table 5.1.8.<br />

TABLE-8. DISTRIBUTION OF FAMILY SIZE OF INVESTORS<br />

Family Size Frequency Per Cent F- Value Sig<br />

Three 21 4.70<br />

Four 128 28.40<br />

Five 188 41.80<br />

11.986 0.04<br />

Six 94 20.90<br />

Seven 19 4.20<br />

Total 450 100.00<br />

Source: Primary & Computed Data


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The results show that about 41.80 per cent of investors belong to the family size of five<br />

followed by four (28. 40 per cent), six (20.90 per cent), three (4.70 per cent) and seven (4.20 per<br />

cent).<br />

The F-value of 11.986 is significant at five per cent level indicating that there is a<br />

significant difference among the family size of investors and the same is graphically depicted in<br />

Figure-8.<br />

NATIVE AREA<br />

The distribution of native area of investors was analyzed and the results are presented in<br />

Table 5.1.9.<br />

TABLE-9. DISTRIBUTION OF NATIVE AREA OF INVESTORS<br />

Native Area Frequency Per Cent Chi Square<br />

Value<br />

Sig<br />

Rural 213 47.30<br />

Urban 237 52.70<br />

0.02 0.03<br />

Total 450 100.00<br />

Source: Primary & Computed Data


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The results show that majority of the investors (52.70 per cent) belong to urban area<br />

while the rest of 47.30 per cent of investors belong to rural area.<br />

The chi-square value of 0.02 is significant at five per cent level indicating that there is a<br />

significant difference among native area of investors and the same is graphically presented in<br />

Figure-9.<br />

EXPERIENCE IN SHARE MARKET<br />

The distribution of experience in share market of investors was analyzed and the results<br />

are presented in Table 10.<br />

TABLE-10. DISTRIBUTION OF EXPERIENCE IN SHARE MARKET OF INVESTORS<br />

Experience in Share Market Frequency Per Cent Chi-Square<br />

Value<br />

Sig<br />

Up to 1 year 22 4.90<br />

1 to 3 year 154 34.22<br />

3 to 5 year 245 54.44<br />

0.03 0.02<br />

Above 5 year 29 6.44<br />

Total 450 100.00<br />

Source: Primary & Computed Data


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The results indicate that about 54.44 per cent of investors have the experience 3 to 5<br />

years in share market followed by 1 to 3 years (34.22 per cent), above 5 years (6.44 per cent) and<br />

up to 1 year (4.90 per cent).<br />

The chi-square value of 0.03 is significant at five per cent level indicating that there is a<br />

significant difference among experience in share market of investors and the same is graphically<br />

shown in Figure-10.<br />

INVESTMENT EXPERIENCE<br />

The distribution of investment experience of investors was analyzed and the results are<br />

presented in Table 11.<br />

TABLE-11. DISTRIBUTION OF INVESTMENT EXPERIENCE OF INVESTORS<br />

Investment Experience Frequency Per Cent Chi-Square<br />

Value<br />

Sig<br />

Up to 1 year 37 8.22<br />

1 to 3 year 186 41.33<br />

3 to 5 year 191 42.45<br />

0.03 0.02<br />

Above 5 year 36 8.00<br />

Total 450 100.00<br />

Source: Primary & Computed Data


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The results show that about 42.45 per cent of investors have the investment experience of<br />

3 to 5 years followed by 1 to 3 years (41.33 per cent), up to 1 year (8.22 per cent) and above 5<br />

years (8.00 per cent).<br />

The chi-square value of 0.03 is significant at five per cent level indicating that there is a<br />

significant difference among investment experience of investors and the same is graphically<br />

shown in Figure-11.<br />

NATURE OF INVESTMENT<br />

The distribution of nature investment of investors was analyzed and the results are<br />

presented in Table 12.<br />

The results indicate that about 56.90 per cent of investors are regular traders followed by<br />

investor in both primary and secondary market (12.70 per cent), regular investor (11.30 per cent),<br />

occasional trader (7.60 per cent), occasional investor (5.60 per cent), investor in primary market<br />

only (5.30 per cent) and investor in secondary market (0.70 per cent).<br />

TABLE-12. DISTRIBUTION OF NATURE INVESTMENT OF INVESTORS<br />

Nature of Investment Frequency Per Cent Chi-Square<br />

Value<br />

Sig<br />

Regular Trader 256 56.90


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Regular Investor 51 11.30<br />

Occasional Trader 34 7.60<br />

Occasional Investor 25 5.60<br />

Investor in Primary Market<br />

Only<br />

Investor in Secondary Market<br />

Only<br />

Investor in both Primary and<br />

Secondary Market<br />

24 5.30<br />

3 0.70<br />

57 12.70<br />

0.06 0.03<br />

Total 450 100.00<br />

Source: Primary & Computed Data<br />

The chi-square value of 0.06 is significant at five per cent level indicating that there is a<br />

significant difference among nature of investment of investors and the same is graphically shown<br />

in Figure-12.


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FINDINGS<br />

The results show that about 78.00 per cent are males while the rest of 22.00 per cent are<br />

females. It is observed that about 61.33 per cent of investors belong to the age group of 31-40<br />

years followed by 41-50 years (18.00 per cent), less than 30 years (15.56 per cent) and more than<br />

50 years (5.11 per cent).<br />

The majority of investors (48.70 per cent) are post graduates followed by under<br />

graduation (32.20 per cent), higher secondary (10.40 per cent), secondary (4.70 per cent) and<br />

doctorate (4.00 per cent).<br />

The occupation of investors is varying from Central Government (7.60 per cent) to doctor<br />

(3.10 per cent). The rest of the investors are having the occupation of insurance and real estate<br />

(7.30 per cent), accountant (5.10 per cent), auditor (4.90 per cent) and lawyer (4.20 per cent).<br />

The majority of the investors (89.60 per cent) are married while the rest of 10.40 per cent of<br />

investors are unmarried.<br />

It is apparent that about 44.44 per cent of investors belong to the income group of Rs.<br />

4.<strong>01</strong>-6.00 lakhs followed by Rs.2.<strong>01</strong>-4.00 lakhs (43.56 per cent), more than six lakhs (8.22 per<br />

cent) and less than two lakhs (3.78 per cent).<br />

It is clear that about 44.44 per cent of investors belong to the annual family income group<br />

of Rs. 3.<strong>01</strong>-5.00 lakhs followed by Rs.5.<strong>01</strong>-7.00 lakhs (42.67 per cent), less than three lakhs<br />

(7.56 per cent) and more than seven lakhs (5.33 per cent).<br />

The results show that about 41.80 per cent of investors belong to the family size of five<br />

followed by four (28. 40 per cent), six (20.90 per cent), three (4.70 per cent) and seven (4.20 per<br />

cent). The results indicate that majority of the investors (52.70 per cent) belong to urban area<br />

while the rest of 47.30 per cent of investors belong to rural area.<br />

The results indicate that about 54.44 per cent of investors have the experience 3 to 5<br />

years in share market followed by 1 to 3 years (34.22 per cent), above 5 years (6.44 per cent) and<br />

up to 1 year (4.90 per cent).<br />

The results show that about 42.45 per cent of investors have the investment experience of<br />

3 to 5 years followed by 1 to 3 years (41.33 per cent), up to 1 year (8.22 per cent) and above 5<br />

years (8.00 per cent).<br />

The results indicate that about 56.90 per cent of investors are regular traders followed by<br />

investor in both primary and secondary market (12.70 per cent), regular investor (11.30 per cent),<br />

occasional trader (7.60 per cent), occasional investor (5.60 per cent), investor in primary market<br />

only (5.30 per cent) and investor in secondary market (0.70 per cent).<br />

CONCLUSION<br />

The Coimbatore Stock Exchange Limited, (CSX) is the youngest stock exchange in India.<br />

The Exchange has successfully implemented Screen Based Trading (SBT) and commenced its<br />

operations with effect from 9 th October, 1996. It is observed that more number of investors is


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interested to enter in to the stock market due to fear and risk aversion they are not ready to enter<br />

in to the capital market. The government and regional stock exchanges has to motivate the small<br />

and medium investors to invest so that the unutilized money will come to the market that<br />

consequently develop the economy of the nation.<br />

REFERENCE<br />

1. Admati, Anat and Paul Pfleiderer, 1997, “Does it All Add Up? Benchmarks and the<br />

Compensation of Active Portfolio Managers,” Journal of Business, Vol. 70, pp. 323–50.<br />

2. Arrow, K. J. (1971). Essays in the theory of risk-bearing. Chicago: Markham Publishing<br />

Co.<br />

3. Bajtelsmit, V. L., & Bernasek, A. (1996). Why do women invest differently Than men?<br />

Financial Counseling and Planning, 7, 1-10.<br />

4. Bajtelsmit, V. L., & Bernasek, A. &Jianakoplos, N. A. (1999). Gender differences in<br />

defined contribution pension decisions. Financila Services Review, 8(1), 1-10.<br />

5. Barberis, N., A. Shleifer, and R. Vishny, 1998. A Model of Investor Sentiment, Journal<br />

of Financial Economics 49, 307-343.<br />

6. Cohn, Richard A., W. G. Lewellen, R.C Lease and G. G Schlarbaum. (1975) “ Individual<br />

Investor Risk Aversion and Investment Portfolio Composition.” Journal of Finance, Vol.<br />

30, No.2, May 1975, pp.6<strong>05</strong>-620.<br />

7. Daniel, K., D. Hirshleifer and A. Subrahmanyam, 1998. Investor Psychology and<br />

Security Market under- and Overreactions, Journal of Finance 53, 1839– 1886.<br />

8. Daniel, K., D.Hirshliefer and S.H.Teoh, 2002, “Investor Psychology in Capital Markets:<br />

Evidence And Policy Implication,”Journal of Monetary Economics, v49, pp.139 – 209.<br />

9. Froot, Kenneth A., and Emil A. Dabora, 1999. “How are stock prices affected By the<br />

location of trade?” Journal of Financial Economics 53, 189-216.<br />

10. Guiso, L., Jappelli, T., & Terlizzese, D. (1996). Income risk, borrowing Constraints, and<br />

portfolio choice. American Economic Review. 86(1), 158-172.<br />

11. Hanna, S. D., Gutter, M. S., & Fan, J. X. (20<strong>01</strong>). A measure of risk tolerance Based on<br />

economic theory. Financial Counseling and Planning, 12(2), 53-60.<br />

12. Hariharan, G., Chapman, K. S., & Domain, D. L. (2000). “Risk tolerance and asset<br />

allocations for investors nearing retirement”. Financial Services Review, 9(2), 159-170.<br />

13. Hinz, R. P., nccarthy, D. D., & Turner, J. A. (1997). Are women conservative Investors?<br />

Gender differences in participated-directed pension investments. In


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14. Micheal S. Gordon, Olivia S. Mitchell, and Marc M. Twinney (Eds.), Positioning<br />

Pensions for Twenty-Firt Century. Philadelphia: University of Pennsylvania Press. Pp 91-<br />

103.<br />

15. Horvath, P., & Zuckerman, M. (1993). Sensation seeking, risk appraisal and Risky<br />

behavior. Personality and Individual Differences, 14, 41-52.<br />

16. James J. Choi, David Laibson, How Does the Internet Affect Trading? Evidence from<br />

Investor Behavior in 4<strong>01</strong>(k) Plans, The Wharton School University<br />

17. Malkiel, B. G. (1996). A random walk down Wall Street. New York: W. W. Norton &<br />

Co.<br />

18. Maccrimmon, K. R. & Wehrung, D. A. (1986). Taking risks.New York: The Free Press.<br />

Mittra, S. (1995). Practicing financial planning: A complete guide For professionals.<br />

Michigan: Mittra & Associates.<br />

19. Philip Kotler, Hermawan Kartjaya, S. David Young, Attracting Investors, Ed10, John<br />

Wiley & Sons, Inc., United States of America, 2004.<br />

20. Rajarajan.V (1998) “Stages in Life Cycle and Investment Pattern”, The Indian Journal of<br />

Commerce, Vol.51, No. 2 & 3, April-September 1998, pp.27-36.<br />

21. Rajarajan.V (2000) “Investors’ Lifestyles and Investment Characteristics”, Finance India,<br />

Vol. XIV, No. 2, June 2000, pp.465-478.<br />

22. An Empirical Study of Indian Individual Rajarajan.V (2003) “Investors’ Demographics<br />

and Risk Bearing Capacity”, Finance India, Vol. XVII, No. 2, June 2003, pp.565-576.<br />

23. Reserve Bank of India,(1965) “Survey of Ownership of Shares in Joint Stock Companies<br />

as at the End of December 1965.” Reserve Bank of India Bulletin, February 1968, pp.<br />

137-151.<br />

24. Robert A. Nagy and Robert W. Obenberger, “Factors Influencing Individual Investor<br />

Behaviour”, Financial Analysts Journal, July/August 1994.<br />

25. W.E. Warren, R.E. Stevens and C.W. mcconkey, “Using Demographic and Lifestyle<br />

analysis to segment Individual Investors”, Financial Analysts Journal, March/April 1990.<br />

26. Wallach, M. A. & Kogan, N. (1961). Aspects of judgment and decision making:<br />

Interrelationships and changes with age. Behavioral Science, 6, 23- 26.<br />

27. William B. Riley Jr. And K. Victor Chow, “Asset Allocation and Individual Risk<br />

Aversion”, Financial Analysts Journal,November/December 1992.<br />

28. Yao, R., Hanna, S. D., & Lindamood, S. (2004). Changes in financial risk Tolerance,<br />

1983-20<strong>01</strong>. Financial Services Review,13 (4), 249-266.


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29. Yao, R., Gutter, M.S., & Hanna, S.D. (20<strong>05</strong>). The financial risk tolerance of Blacks,<br />

Hispanics and whites. Financial Counseling and Planning, 16 (1), 51- 62.<br />

30. Yao, R. & Hanna, S.D. (20<strong>05</strong>). The effect of gender and marital status on Financial risk<br />

tolerance. Journal of Personal Finance, 4 (1), 66-85.


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ECO-FRIENDLY PRODUCTS AND CONSUMER PERCEPTION<br />

ABSTRACT<br />

SUDHIR SACHDEV*<br />

*Assistant Professor, Manav Rachna College of Engineering,<br />

Sector 43, Aravlli Hills, Delhi Surajkund Road,<br />

Faridabad, Haryana -121004.<br />

As resources are limited and scarce while human wants are unlimited, it is important for the<br />

marketers to utilize the resources effectively and efficiently without wastage as well as to<br />

achieve the organization's objective. Green marketing is inevitable for the attainment of longterm<br />

mission and vision of an organization. There has been rising awareness among the<br />

consumers all over the world concerning protection of the environment. People do desire to<br />

bequeath an uncontaminated earth to their offspring. This research paper covers various forms of<br />

environmentally concerned consumer behavior and their determinants. The understanding of<br />

environmentally concerned consumer behavior is of importance to consumers, business, market<br />

place, educationists, public policy makers, thinkers and academicians.<br />

The last decades have seen a progressive increase in environmental consciousness worldwide as<br />

the environment moved from a fringe to a mainstream <strong>issue</strong> and consumers became more<br />

concerned about it. However, despite positive forecasts, demand for environmentally friendly<br />

products didn‘t grow as expected and both attitude-behavior and intention-behavior gaps<br />

emerged. Thus, this study endeavors to explore why people do not buy environmentally friendly<br />

products by finding out which are the main constraints impeding them to translate their green<br />

intentions into actual purchase behavior. Needless to say, paramount significance is going to be<br />

attached to eco-friendly products as they shall come to occupy the centre stage in coming years.<br />

Commensurate with that, there will be a shift in consumer perception albeit at a low pace in<br />

coming years.<br />

KEYWORDS: Green Marketing, green consumer behavior, environmentally friendly products.<br />

INTRODUCTION<br />

Beginning in the 1970s, a significant amount of research has been conducted on consumer<br />

behavior for environmentally friendly products. Many variables were shown to drive consumer<br />

choice in regards to purchasing environmentally friendly products. The growing social and<br />

regulatory concerns for the environment lead an increasing number of companies to consider<br />

green <strong>issue</strong>s as a major source of strategic change. For years, there have been warnings about the<br />

dangers of climate change, excessive natural resource consumption, and ever-increasing waste<br />

generation. Consumer Businesses are significant users of natural resources - water, energy, fuel,<br />

agricultural resources, forest and marine resources. Outputs from Consumer Business operations,<br />

including packaging waste, solid waste, emissions, and waste-water, also have significant


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environmental impact, both directly and indirectly through consumer usage and disposal<br />

behaviors. Media headlines consistently focus on stories predicting dire consequences associated<br />

with the environment. Ascertaining fact from fiction and prioritizing true risks can be a daunting<br />

task.<br />

Since society becomes more anxious with the natural environment, businesses have started to<br />

adjust their behavior in an attempt to address society's "new" concerns. Some businesses have<br />

been quick to accept concepts like environmental management systems and waste minimization,<br />

and have integrated environmental <strong>issue</strong>s into all organizational activities. People are conscious<br />

about the less environment friendly product due to their own welfare that is why this <strong>issue</strong> is<br />

very modern topics for India. This paper tries to unearth consumer attitudes and perceptions<br />

towards eco- friendly products in FMCG sector and their willingness to pay on green products.<br />

WHAT IS GREEN MARKETING?<br />

Green marketing is inevitable for any type of organization. According to the American<br />

Marketing Association (AMA) ‗green marketing‘ is the marketing of products that are presumed<br />

to be environmentally safe. It incorporates a broad range of activities, including product<br />

modification, changes to the production process, packaging changes, as well as modifying<br />

advertising. Defining green marketing is not a simple task where several meanings intersect and<br />

contradict each other. Other similar terms used are ‗Environmental Marketing‘, ‗Sustainable<br />

Marketing‘ and ‗Ecological Marketing‘.<br />

As per Brundtland Commission (1987), ―Development that meets the needs of the present<br />

without compromising the ability of future gene rations to meet their own needs (Rowell, 1996)‖.<br />

Another definition is ―Green or Environmental Marketing consists of all activities designed to<br />

generate and facilitate any exchanges intended to satisfy human needs or wants, such that the<br />

satisfaction of these needs and wants occurs, with minimal detrimental impact on the natural<br />

environment‖. (Polonsky 1994b).<br />

‗It is the <strong>vol</strong>untary pursuit of any activity that encompasses concern for energy efficiency,<br />

environment, water, conservation and the use of recycled/recycled products & renewable energy‘<br />

(Confederation of Indian Industry) Industry<br />

Peattie (20<strong>01</strong>) described e<strong>vol</strong>ution of green marketing in three phases. First phase is termed as<br />

"Ecological" green marketing, and during this period all marketing activities were concerned to<br />

help environment problems and provide remedies for environmental problems. Second phase is<br />

"Environmental" green marketing and the focus shifted on clean technology that in<strong>vol</strong>ved<br />

designing of innovative new products, which take care of pollution and waste <strong>issue</strong>s. Third phase<br />

was "Sustainable" green marketing came into prominence in the late 1990s and early 2000.


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METHODOLOGY<br />

In this section we briefly explain the research methods used in the data collection. The<br />

authors employed questionnaire method for data collection to explore consumers‘ purchasing<br />

behavior and reasoning for this behavior. The survey was completed in Faridabad (Haryana) and<br />

the sample size was 45. People belonging to SEC A and SEC B (socio-economic classification A<br />

and B) were interviewed. The purpose of selecting respondents from this group was to generate<br />

data from people who are well educated and have a decent purchasing power. This number of<br />

interviews enabled us to achieve theoretical saturation in our target group. Our recruitment<br />

strategy was to encompassing a range of green consumers from different age groups, genders and<br />

socio-economic groups. The secondary data were collected from relevant <strong>journal</strong>s, books and<br />

other published data.<br />

The Main objective of the study is, to investigate the consumer attractiveness towards ecofriendly<br />

products in FMCG sector and their impact of purchasing decision.<br />

THE GREEN CONSUMER<br />

There is growing interest among the consumers all over the world for protection of the<br />

environment. The green consumers are the main motivating force behind the green marketing<br />

process. It is their concern for environment and their own well being that drives demand for ecofriendly<br />

products, which in turn encourages improvements in the environmental performance of<br />

many products and companies. Thus, for a marketer it is important to identify the types of green<br />

consumers. Although no consumer product has a zero impact on the environment, in business,<br />

the terms ―green product‖ and ―environmental product‖ are used commonly to describe those<br />

products that strive to protect or enhance the natural environment by conserving energy and/or<br />

resources and reducing or eliminating use of toxic agents, pollution, and waste. Worldwide<br />

evidence indicates people are concerned about the environment and are changing their behavior<br />

and there is growing awareness among the consumers all over the world regarding protection of<br />

the environment where they live. People do want to bequeath a clean earth to their offspring.<br />

Various studies by environmentalists indicate that people are concerned about the environment<br />

and are changing their behavior pattern so as to be less hostile towards it. Research reveals that<br />

increasing number of the consumers, both individual and industrial, are asking for environmentfriendly<br />

products. Most of them feel that environment-friendly products are safe to use. As a<br />

result, green marketing has emerged, which aims at marketing sustainable and sociallyresponsible<br />

products and services profitably but without having any adverse effect on the<br />

environment. Now is the era of recyclable, non-toxic and environment friendly goods. This has<br />

become the new mantra for marketers to satisfy the needs of consumers and earn better profits in<br />

a greener way. It includes a broad range of activities like product modification, changing the<br />

production process, modified advertising, change in packaging, etc., aimed at reducing the<br />

detrimental impact of products and their consumption and disposal on the environment.<br />

Companies all over the world are striving to reduce the impact of products and services on the<br />

climate and other environmental parameters. Marketers are taking the cue and are going green.<br />

Green marketer can attract customers on the basis of performance, money savings, health and<br />

convenience, or just plain environmental friendliness, so as to target a wide range of green


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consumers. The green consumers are the driving forces behind the green marketing process. It is<br />

they who drive consumer demand, which in turn encourages improvements in the environmental<br />

performance of many products and companies. Thus, for a marketer it is important to identify the<br />

types of green consumers.<br />

Demographically, ‗green customer,‘ our study reveals, are diversely spread along all income<br />

ranges, age brackets, education levels and various household sizes. On average green shoppers<br />

are a little older, tend to have higher income, and more education, but you will find substantial<br />

numbers of green shoppers can be found distributed across the consumer population.<br />

CONSUMER ATTITUDES IN EMERGING MARKETS<br />

According to various research reports, shoppers are thinking green, but not always buying that<br />

way 3 . (Mainieri, Barnett, Valdero, Unipan, and Oskamp 1997). We surveyed young business<br />

professionals about sustainable consumption in India. These young business people also<br />

represented young Indian consumers, mainly from the middle and upper socio-economic groups.<br />

Our research revealed that awareness and understanding of sustainable consumption among<br />

consumers was low; the majority of Indian consumers still buy small, unpackaged goods from<br />

low-cost, family-run shops. Even to wealthier Indian consumers, sustainable consumption was<br />

felt to imply only consuming less; the concept of consuming differently is ―a significant but<br />

missing factor‖. In addition to this, variety of barriers were identified, such as availability,<br />

affordability, convenience, product performance, conflicting priorities, skepticism and force of<br />

habit which prevent people from buying eco-friendly products. (McCarty and Shrum 1994)<br />

THE RISE OF CONSUMER POWER AND CONSUMER SKEPTICISM<br />

Many of the early products designed to be environmentally responsible, such as electric cars and<br />

recycled paper, did not meet the basic expectations of consumers. Rightly or wrongly, these early<br />

disappointments have made it tougher to convince today‘s consumers that green products work<br />

as well as those that they are intended to replace, or are worth higher prices. In their search for<br />

guidance on consumption choices, people trust each other more than any other source of<br />

information.<br />

At the same time, our research indicates that consumers are less trusting of brands than in the<br />

past, and increasingly believe that they have the power to significantly influence how responsibly<br />

a company behaves. A trusted source of peer-generated information: 61% of consumers now<br />

consider blogs a reliable source of information, and more than half trust consumer-generated<br />

media. In addition to the traditional marketing criteria, customers want to judge the following<br />

environmental elements too:<br />

How environmentally friendly is the product?<br />

Are the manufacturing, packaging and promotion of green products sustainable?<br />

How green is the business overall?


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Is the marketing credible or just ‗greenwash‘ (environmental claims that could be<br />

considered false, unsubstantiated and/or unethical)?<br />

However, during this study authors found that<br />

Neither customers nor manufacturers clearly state environmental benefits on product<br />

packaging.<br />

It is not clear to the general people that what kinds of benefits to expect in a given<br />

environmental friendly product.<br />

There is no legal authority that can certify environmental claims made by the<br />

manufacturers.<br />

Green Marketing here was only concerned with promotional activity with modest or no<br />

attempt being made in product development in the context of green product.<br />

Extremely modest promotional activities have been taken by the government authorities<br />

or Chambers of Commerce and the related authority as well.<br />

Sustainability considerations either drive or influence the buying decisions of more than half the<br />

shoppers interviewed in our study. However, for most green shoppers, sustainability<br />

considerations are an important purchase driver, but secondary to other dominant purchase<br />

drivers. For most shoppers sustainable considerations become a tie-breaker only when other<br />

factors are in relative parity. However, once a more sustainable product has captured the<br />

shopper‘s commitment it tends to create brand stickiness by retaining the shopper‘s loyalty<br />

through repurchase. We theorize that when a shopper makes a conscious selection of a green<br />

product that they are making a personal contract that implies social responsibility<br />

and they are less likely to change products in the future.<br />

This study found that although interest in buying green extended across all age, income and<br />

education levels, with 90 percent of respondents open to considering sustainable products, less<br />

than 25 percent of shoppers actively consider them when buying. Yet only 47 percent of those<br />

who consider buying eco friendly products actually found green products on retail shelves and<br />

just 22 percent actually purchased them.<br />

LACK OF UNDERSTANDING/CONFUSION – ON-PACK CLAIMS AND LABELS<br />

More than 50 percent consumers remain suspicious of ―greenwash‖ i.e. environmental claims<br />

that could be considered false, unsubstantiated and/or unethical (Ottman 1995). The products<br />

available in today‘s supermarkets carry a wide range of labels, on-pack claims and elements of<br />

design that are meant to inform and reassure consumers on health, safety, environmental or<br />

social concerns. Several brands, including grocery retailers, have developed their own labels;<br />

other brands use endorsements from non-certifying (but trusted) third parties, or on-pack claims<br />

(such as ―natural‖) to convey sustainability attributes. Many consumers remain confused about<br />

which products are better for society and the environment. In regards to eco-labeling, many


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experts have suggested that consumers are confused due to inappropriate labeling. Research has<br />

shown that consumers do not always understand environmentally friendly labels attached to<br />

products (Kangun and Polonsky 1995). Eco-labels such as ‗biodegradable,‘ ‗sustainable,‘ ‗fair<br />

wage/fair trade,‘ ‗environmentally friendly,‘ and ‗recyclable‘ are usually unfamiliar and/or<br />

unknown to consumers. Nevertheless, labels can play an important role in fostering sustainable<br />

consumption when used as part of a package of measures. Confusion remains among consumers<br />

about the differences between fair-trade, ethical, organic and other types of products. Further,<br />

there is an unrealistic expectation of consumers, who are not usually willing to spend time<br />

understanding these <strong>issue</strong>s and are rarely prepared to pay more for sustainable products In the<br />

absence of green certifications, eco-labels, and other indications of a product‘s environmental<br />

performance, the final decision frequently comes down to corporate reputation.<br />

A little more than half of our intentional green purchasers surveyed indicated that they would<br />

pay more for green products. We also believe that in general our top two percent will pay more<br />

than 20 percent for many green products. The majority of shoppers are looking for parity in<br />

pricing related to more sustainable products. In the shopper‘s mind, using fewer resources is not<br />

usually more expensive.<br />

Our green shoppers tested as slightly more responsive to advertising and slightly less sensitive to<br />

promotions. Our interpretation of the statistics is that shoppers need more information related to<br />

green products and in general respond more favorably to an Every Day Low Price strategy than<br />

cyclical promotional strategies. This closely aligns with the strong evidence of a loyalty effect<br />

connected with sustainable characteristics.<br />

Consumer businesses are missing a substantial opportunity to market and provide greener<br />

products. Ninety percent of shoppers surveyed indicated they are ready and willing to consider<br />

more sustainable products, but green products were only purchased only in less than 20 percent<br />

of the shopping trips. There are substantial gaps between the market‘s readiness for sustainable<br />

products and the delivery of those products to the shopper‘s market basket.<br />

Many shoppers want green products, but retailers and brand marketers are losing green sales at<br />

several key points along the path to a purchase. The largest opportunities to capture shoppers<br />

interested in green products in<strong>vol</strong>ve building awareness, educating shoppers, making green<br />

products easier to find and recognize, enhancing in-store communications and inspiring shoppers<br />

at the store shelf. Shoppers are becoming turned off about purchasing green at the last step.<br />

Although 47 percent of shoppers surveyed looked for and found green products, only 22 percent<br />

of the shoppers surveyed actually purchased one.<br />

Retailers and manufacturers are losing potential green sales from a quarter of shoppers at the<br />

store shelf. Inspiration and information will yield better conversion at the shelf level decision.<br />

For some shoppers, credibility and concerns about product performance enter into the equation.<br />

Green products are getting lost in the store. Surveyed shoppers often couldn‘t find the green<br />

products they wanted in the store. It is very possible for green products to become lost in the<br />

assortment. A good sustainable product strategy provides clear visibility and selling cues to the<br />

shopper to highlight green products in the assortment. Retailers and manufacturers need to work


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together to determine the appropriate assortment of green products, minimize out-of-stocks, and<br />

clearly identify green products in the store. Utilizing shopper marketing programs and leveraging<br />

vehicles to draw attention to green products will help increase the green conversion rates.<br />

One-third of shoppers surveyed who would buy green products indicated that they are not yet<br />

inspired to look for them. Awareness and education move people along their ―green learning<br />

curve‖. Shoppers do not always understand the social and environmental benefits of products and<br />

are often confused by the messages in the media. Many are unaware of what makes a product<br />

sustainable versus merely ―good for you.‖ A large number of shoppers remain unsure<br />

of what is green, and some are still unsure of the whole green movement.<br />

In-store communication strongly influences green purchasing. Some shoppers remain unsure of<br />

product performance or product quality; they assume sustainable products would not perform as<br />

well. Shoppers at this stage are questioning the product, so communicating brand and product<br />

attributes via in store signage and product packaging drives shoppers to purchase. The top three<br />

means of identifying a product as green for shoppers surveyed were through packaging/labeling,<br />

in-store signage and brand advertising. Retailers and manufacturers can leverage these vehicles<br />

to address quality and performance questions and motivate shoppers to become purchasers.<br />

To address these <strong>issue</strong>s, retailers and manufacturers need to provide more coordinated<br />

communication and education about sustainability. They need to make the business case for<br />

buying green to the shopper. Education on product benefits, social and environmental benefits,<br />

and actions that shoppers and consumers can take are needed from both retailers and<br />

manufacturers. Consistent, aligned messaging in stores, online, in advertising and in<strong>vol</strong>ving<br />

other touch points is a critical step to driving shoppers from interested to purchasers.<br />

THE ROLE OF BUSINESS: Participants felt that sustainability should be embedded into<br />

corporate strategies, including the responsible investment of company assets and the<br />

encouragement of social entrepreneurship.<br />

Significant opportunities exist in the development of new sustainable markets, such as for ecoproducts,<br />

nonpetroleum-based products, sustainable buildings and public transport.<br />

THE ROLE OF GOVERNMENT: Support from government is essential, since some<br />

businesses will always seek to place profit before cost, even if the majority behaves responsibly:<br />

―One of the most important aspects is to work closely with government – setting the law,<br />

regulations and tax framework.‖<br />

KEY ISSUES FOR BUSINESS<br />

Green marketing must satisfy two objectives: improved environmental quality and customer<br />

satisfaction. The vast majority of consumers, however, will ask, ―If I use ‗green‘ products,<br />

what‘s in it for me?‖ the top reasons consumers do not buy green products included beliefs that<br />

they require sacrifices—inconvenience, higher costs, lower performance—without significant<br />

environmental benefits. In practice, green appeals are not likely to attract mainstream consumers


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unless they also offer a desirable benefit, such as cost-savings or improved product performance.<br />

To avoid green marketing myopia, marketers must fulfill consumer needs and interests beyond<br />

what is good for the environment.<br />

How do you create a green strategy that is pitch perfect and tuned for long-term success? Why<br />

should people believe a company‘s claim? To be effective, company‘s strategy and messages<br />

need to be convincing. This means that they must be backed by facts and figures. Companies<br />

need to make environmental friendly products easily available and affordable and without<br />

compromising on performance and at no extra costs for the consumer to make informed<br />

purchasing decisions, as they increasingly report a willingness to do so. In order to have a<br />

credible, sustainable brand, companies must have operational integrity and their communications<br />

have to strike the right balance between visibility and transparency<br />

An integrated marketing communications approach and/or a holistic approach, using eco-labels,<br />

may better educate consumers on the social and environmental impacts of their consumer<br />

purchasing decisions. What companies must remember, however, is that environmental labeling<br />

schemes are only a supplement to – not a substitute for – general environmental awareness and<br />

educational efforts (Thogersen 2000). In addition, studies have shown that, in making purchasing<br />

decisions, consumers use labels only when he/she trusts the message conveyed; therefore, labels<br />

should be promoted in a way that conveys trust.<br />

The purchase of many everyday products has a habitual character. It is performed in a stable<br />

context, often executed with high frequency and without much reflection. A familiar brand label<br />

or product look may serve as a cue initiating an automatic response or habit. During recent years<br />

consumers have been asked to show environmental concern. The automatic process should<br />

compete with a new behavioral intention: to make an environmentally benign choice. A frequent<br />

and successful implementation of this new intention will, it is hoped, result in a new habit that<br />

replaces the old one.<br />

REFERENCES<br />

Arbuthnot, J. (1977), ―The roles of attitudinal and personality variables in the prediction of<br />

environmental behavior and knowledge‖, Environment and Behavior, 9, 217 –232.<br />

Kangun, N. and M.J. Polonsky (1995), Regulation of Environmental Marketing Claims: A<br />

Comparative Perspective, International Journal of Advertising, 14, 1 – 24.<br />

Mainieri, Tina; Barnett, Elaine G. (1997), ―Green buying: The influence of environmental<br />

concern on consumer behavior‖, Journal of Social Psychology, Vol. 137, Iss.2, pp. 189 –2<strong>05</strong>.<br />

McCarty, J.A. and Shrum, L.J. (1994), The recycling of solid wastes: personal values, value<br />

orientations, and attitudes about recycling as antecedents of recycling behavior‖, Journal of<br />

Business Research, Vol. 30, No. 1, pp. 53 – 62.


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Ottman, Jacquelyn. (1995), ―Today‘s consumers turning lean and green‖, Marketing News, Vol.<br />

29, Iss. 23, pp. 12 – 14.<br />

Peattie, Ken. (20<strong>01</strong>), ―Towards Sustainability: The Third Age of Green Marketing‖, The<br />

Marketing Review, Vol. 2 Iss. 2, pp.129 –146.<br />

Polonsky, Michael Jay. 1994a. "Green Marketing Regulation in the US and Australia: The<br />

Australian Checklist." Greener Management International 5: 44-53.<br />

Thogersen, John. (2000), ―Psychological Determinations of Paying Attention to Eco-labels in<br />

purchase decisions‖, Journal of Consumer Policy, Vol. 23, Iss. 3, pp. 285 – 315.


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CREATIVITY AND INNOVATION IN MANAGEMENT<br />

- A Fuel for Growth<br />

*MRS. YASHA AGGARWAL & MS NEHA BHATIA<br />

*Assistant Professor<br />

Institute of Innovation in Technology and Management, New Delhi<br />

Guru Gobind Singh Indraprastha University, New Delhi<br />

ABSTRACT<br />

Creativity plays a critical role in the innovation process, and innovation that markets value is a<br />

creator and sustainer of performance and change. The creative person spends more time in<br />

generating new ideas, analyzing it before attempting a solution , the less creative person<br />

satisfied with single solution in one attempt. It is a circular process. The more creative we are,<br />

the more we will periodically evaluate the worth of all existing practices and more we improve.<br />

This paper discusses the need of creativity and innovation in management to gain competitive<br />

world. Creativity and innovation has become indispensable for a firm to survive and to<br />

succeed.<br />

KEYWORDS: Competitive, Creativity, Idea Generation, Innovation, Organization.<br />

INTRODUCTION<br />

Everyone has predetermined ideas of the word creativity; however, these ideas may differ from<br />

individual to individual based upon one’s life experiences. Creativity is not an entity that may<br />

be easily defined but an operational definition of this construct is a paramount consideration for<br />

the effective executive within the effective organization. The need to change ideas is becoming<br />

more and more obvious as technology speeds up the path of progress. Creativity is directly<br />

linked to productivity and quality enhancement. Organizations, both for- and not-for-profit,<br />

need to generate some form of sustainable competitive advantage to stay ahead in the race.<br />

Creativity is apparent to precede innovation, and innovation fulfils this as the implementation<br />

of successful ideas in an organization. “All innovation begins with creative ideas…” Innovation<br />

is the successful implementation of creative ideas within an organization”. Hence, ideas that act<br />

as the starting point need to be generated quickly, qualitatively and quantitatively.<br />

In traditional thinking there are no methods for going beyond the adequate. Once we get<br />

satisfied with any idea, we just stop thinking. Yet there are many other ideas, better<br />

arrangements of information which are to be deliberately hunted. It is difficult to acquire any<br />

sort of idea- generating skill simply by reading about it. In order to develop one, one must<br />

practice and go on practicing it. Any where we look, there is something that can be done to<br />

eliminate unnecessary costs and improve customer value. There is scope for improvement in


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everything whether it is a man made article, human relation technique or any business<br />

operation.<br />

LITERATURE REVIEW<br />

The term creativity and innovation are often used interchangeably (Man, 20<strong>01</strong>); however, there<br />

is a clear distinction between creativity and innovation, the former being the generation of ideas<br />

and the latter its implementation. In this era of globalization and competition, creativity and<br />

innovation are considered to be key factors for survival, success and excellence of<br />

organizations (Peter Cook, 1998).<br />

Cook (1998) considered creativity as an element of competitive advantage for organizations.<br />

The most profitable new products will be those that meet the customer needs more effectively<br />

than the competitor’s products, and are therefore preferred by more customers ( Mc Adam and<br />

McClelland, 2000). Innovation and creativity benefit companies beyond direct sales growth or<br />

efficiency improvements. A company that establishes an effective creativity and innovation<br />

process is also likely to realize social benefits that arise from team working and employee<br />

motivation (Cook, 1998). Majaro (1988) looks at innovation as a process where ideas are<br />

generated and transformed for implementation to business products and services. Creativity is<br />

seen as the front end of the innovation process. Innovation typically occurs through four stages,<br />

viz. idea generation, screening, feasibility and implementation.<br />

Dictionary.com defines creativity as “the ability to transcend traditional ideas, rules, patterns,<br />

relationships, or the like, and to create meaningful new ideas, forms, methods, interpretations,<br />

etc; originality, progressiveness, or imagination.” Creativity was once considered the province<br />

of artists, scientists, and writers. But the creative urge can express itself elsewhere and need not<br />

be limited by the job description. There is variety in typologies of creative people too: they can<br />

be quick and dramatic, or careful and quiet. It is also true that most new ideas are not flashes of<br />

inspiration in an inventor’s head; they come from how people identify, create, store, share, and<br />

use knowledge. According to the Snowflake Model of creativity of David Perkins, developed in<br />

the 1980s, the six common traits of creative people are (i) a strong commitment to a personal<br />

aesthetic, (ii) the ability to excel in finding solutions, (iii) mental mobility, (iv)a willingness to<br />

take risks, (v) objectivity, and (vi) inner motivation. The first three traits are largely cognitive;<br />

the last three are dispositional attributes. Because none of the six is thought to be genetic,<br />

Perkins argued that creativity can be taught, or at least encouraged.<br />

WHY CREATIVITY IN MANAGEMENT IS ESSENTIAL?<br />

Creativity is the most important human resource of all. It flourishes in organizations that<br />

support open ideas, these organizations create environments that inspire personnel and maintain<br />

innovative work places; those that fail are large organizations that stifle creativity with rules<br />

and provide no slack for change. Creativity and creative problem solving have become the<br />

thrust areas of business in this ever- changing and dynamic environment. The biggest challenge<br />

faced by organizations today is the ability to integrate the need for short term results with the<br />

vision for long term futuristic growth. Creativity and creative problem solving are different<br />

from invention. Any product, process or solution which emerges out of the creative process<br />

should be capable of commercial success. This is the reason why organizations are setting in


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motion, a monitoring mechanism to critically analyze the outcome of the innovation that has<br />

resulted from the institution of a creative process. Creativity is becoming an essential ingredient<br />

in business, because competence, information and technology are becoming commodities<br />

available to everyone. Creativity is achieved by removing mind blocks and by thinking of the<br />

unthinkable. Exercising our brain will lead to increased creativity. Management these days<br />

faces a whole lot of challenges in the dynamic business environment. To overcome these<br />

challenges and exploit them to our advantage, we need to exercise our creativity.<br />

THE ESSENCE OF CREATIVITY<br />

Everyone has predetermined ideas of word creativity: however, these ideas may differ from<br />

individual to individual. Creativity is the conception of the new idea and putting the old wine in<br />

new bottle. It can be studied as an output or as a process. Creativity helps in effective problem<br />

solving.<br />

The essence of creativity can be studied if we study some “primary intellectual characteristics”<br />

of highly creative person. These are:<br />

a) Problem Recognition- Realization of the fact that a problem exists.<br />

b) Idea Generation- It deals with the thinking process of the individual i.e., the ability of a<br />

person to think up a number of ideas against a given problem. The value is that the more ideas<br />

you get for a problem, the greater will be the chances that you will find a new idea or a better<br />

one.<br />

c) Original and feasible- Generation of original ideas by an individual.<br />

d) Flexible- Ability to move from one reference to another with ease.<br />

e) Strong drive- The urge of individual to implement the ideas practically.<br />

Some of the personality traits of highly creative people are:<br />

1) Self Judgment<br />

2) Different perspective from their peers<br />

3) Seeing authority as conventional rather than absolute.<br />

4) Willingness to act on their impulse.<br />

5) Good sense of humor<br />

It has been observed that people who have ingredients of creativity are unable to flourish<br />

because of barriers that hinder their creative instincts. There are both internal and external<br />

factors that may hinder the creativity of an individual.<br />

External Factors<br />

a) Organizational protocols- bureaucracy.<br />

b) Perceptions about the environment.<br />

c) Set routines established by companies.<br />

Internal Factors<br />

a) Psychological attributes


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Sub- conscious mind efficiency<br />

Absence of a relaxed mind<br />

b) Mental Attributes<br />

Rigidness<br />

Confidence<br />

Judgmentality<br />

Intrinsic factors that need to be overcome to be creative are:<br />

1) Fear of failure- To succeed in life one has to fail at one point of time, failure motivate an<br />

individual to succeed, but too much of it could play a paralyzing part.<br />

2) Cultural Factors- In a society, conformity reigns such conformity to conventions, a lack of<br />

initiation, resource availability and lack of playfulness can ruin creativity.<br />

3) Allergy to complexity- Many individuals are not comfortable with ambiguity situation. They<br />

tend to work better in a routine manner and don’t welcome uncertain situation which would<br />

demand ingenuity.<br />

4) Emotional Touchiness- This attribute of individual makes him afraid of getting criticism and<br />

makes him shy away from an uncomfortable situation. His ego gets hurt very easily and that<br />

holds low self- esteem.<br />

5) Resource Myopia- This refers to not recognizing all of the resources available at our disposal due<br />

to dependency on order, structure and predictable routines.<br />

6) Inflexible- Rigidity is having a firm approach to life and failure to adapt change despite a need.<br />

7) Imaginary Boundaries- Many of us impose too many boundaries and constraints during creative<br />

brainstorming. Rules that we carry with us certainly inhibit creativity and free flow of ideas<br />

8) Emotional Blocks- It is difficult to separate the head from the heart. When we face a difficult<br />

situation outgut reaction often comes from an emotional response. The intellect then kicks into<br />

reason with and support our initial emotion-based solution. Some debilitating factors include an<br />

over zealousness to succeed quickly, a lack of drive in carrying projects through to completion<br />

and an inability to relax<br />

9) Perceptual factors- The inability to come out from complacent situation or object, makes the<br />

individual harder to see it differently. Many of us fail to use all of our senses during<br />

observation. We have difficulty in isolating the problem, and identifying remotely related<br />

factors.<br />

10) Motivation- A person’s urge is the result of many forces, including family, education, job,<br />

ambition & self confidence. Attention must be focused towards flourishing healthy & creative<br />

motivations, while divisive ones must be weeded out.


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Creative People see differently and think in more than one way<br />

IDEA GENERATION<br />

Creativity is an inborn characteristics or a god given ability given only to certain people. There<br />

are other views that it is an inspiration to incite creative activity. Research has proved that<br />

creativity is always universally distributed that creative problem solving ability can be learned<br />

& strengthened.<br />

Having self- confidence that I can become more creative is the foremost step. Creative thinking<br />

demands application and a positive self image. We have to believe in ourselves and our<br />

decisions.<br />

TYPES OF CREATIVITY<br />

A) Individual Creativity- Laziness is a part of human life, even mind of an ambitious person<br />

tends to be lazy at times. When we get an idea we are often so satisfied with it as though the<br />

problem has been solved. But even if a solution has been found, it may not be the best or the<br />

right solution.


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While resolving a problem we should jot down our thought as they arise and when our brain<br />

stop giving ideas we should start reading back and ask these questions: What is this like? What<br />

is this related to? How is this different? We will get more ideas when we do this because one<br />

thought will spark another. One idea will lead to another.<br />

Individual should spend a definite time just in search of new ideas can be one of the most<br />

productive techniques one can adopt. There are several techniques that aid individual thinking.<br />

Some are listed below:<br />

Forced Relationships- Two or more different elements are forced fit together, in order to come<br />

up with a fresh idea.<br />

Checklist- Human brain bombard with different kinds of questions. We get all kinds of answersgood<br />

& bad. We discard the bad ones and collect the good ideas.<br />

Attribute Listing- Product get reshape with new qualities and characteristics. For example, we<br />

consider a sheet of paper what are all the ways this sheet of paper can be put into use? Now if<br />

we look we will see that it has a shape rectangular, a color white, translucent and so on. To find<br />

out all the uses we have to focus on every attribute separately. For example, white colors could<br />

be used as a symbol for peace and because of its porosity, as a filtering medium and so on.<br />

Looking Backward- The ideal situation is thought of first. Later on, we work backwards from the<br />

characteristics of such a solution to the technical capabilities it would have to incorporate.<br />

Black Box- In a box all input i.e. all element of the problem are listed and separate list of all the<br />

outputs is made. Then screen all possible transformation processes that might transform some<br />

or all of the inputs into all of the outputs i.e. if this input is used what would be required to get<br />

that desired output.<br />

Directed Dreaming- Dreams can be used as input to creativity or solutions to problems. Day<br />

dreaming enables one to relax and explore ideas, work efficiently, creative thinking, problem<br />

solving, decision making are all enhanced. In fact the best ideas come when we are at relaxed<br />

moments of day dreaming. This method requires a prolonged mental struggle of days, or even<br />

weeks with the problem.<br />

B) Group Creativity- If a problem is unstructured, and then groups are more effective in<br />

generating a creative solution. Groups are more effective than individuals in eliminating errors<br />

and avoiding mistakes. A solution developed by the group is more likely to be accepted than<br />

individual. If the members of a group must act on evidence, it is likely that they will be more<br />

productive.<br />

In a group, members learn from one another, stimulate one another and add to each other’s<br />

knowledge and skills. Group diversity enhances the effectiveness of group thinking. Some<br />

group creativity problem solving techniques are given below:<br />

1. Brainstorming- This technique of problem solving originated in India about 400 yrs ago and has<br />

been practiced ever since. It is one of the best techniques where individual creativity flows in a<br />

totally new and unique way. It consists of the gathering of a group of people from diverse field<br />

who state the problem and invite everyone to call out their respective ideas. The important rules<br />

are:<br />

‣ No criticism is allowed with respect to other members ideas.<br />

‣ Free-wheeling, wild ideas and unconventional ideas are welcome.<br />

‣ Emphasis is on quantity of ideas.<br />

‣ Improvements and flexibility should be required.


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2. Synectics- This technique can be explained with an example say we imagine ourselves as a steel<br />

manufacturer and list out the various ways we could redesign ourselves to be a safer steel<br />

manufacturer at a lower running cost. This is what we would be doing if we are practicing this<br />

technique which forces us to talk about the problem in a totally unconventional manner. By<br />

repeated analogies, what is familiar is made strange and the strange is made familiar.<br />

‣ Personal Analogy is an individual mental concentration of investigating thing and putting in the<br />

basket of the idea we are improving.<br />

‣ Direct Analogy compares parallel facts by identifying one element with another element of<br />

function, knowledge or method, one idea for another application. Like the idea of a person<br />

bending forward and lifting a material with forearms and lifting a material with forearms to the<br />

idea of a weight lifting crane.<br />

3. Bionics- This technique studies Nature to ascertain how plants and animals perform functions.<br />

How does the duck avoid getting wet? How can the hydrodynamics of a dolphin be applied to<br />

submarine design? Indeed, nature can teach us much.<br />

4. Morphology- This technique links with scrabble game which ensures that we do not overlook<br />

any combination when we have a series of variables which can be combined in various ways.<br />

For example, an organization may list its markets (elements of dimension 1) and its products<br />

(elements of dimension 2). Each product/ market combination can trigger off new idea with<br />

new product.<br />

5. Delphi- This is an approach where questionnaire is given to experts from their respective field.<br />

The members of the group are not familiar with each other. A central mechanism i.e. moderator<br />

is there to manage the alteration, transmission and summarizing of questionnaire data. Initially,<br />

suggestions by each group member are recorded independently and anonymously. Then<br />

moderator compiles and reproduces the same again to each member. Members then generate<br />

feedback on other member’s comments and a second round of feedback is written down and<br />

sent to the centrally located individual. The above steps are repeated until a consensus is<br />

reached.<br />

6. Nominal Group Techniques- This method structures the group’s creative process and combines<br />

both group and individual activities. It is coordinated by a leader. Initially, the question under<br />

study is posted in front of the group. The group then silently generates ideas with each<br />

individual writing his answers. Then the leader goes around the table and asks each member to<br />

share their ideas in a round- robin fashion, where participants take turns reading ideas to the<br />

group. These ideas are recorded. The ideas are then discussed for clarification of any question<br />

or points. The recorded ideas are then ranked by each individual. The mean average rankings<br />

are then used as a basis for the group’s decision.


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INNOVATION<br />

Innovation has become the most critical element of business in today’s scenario. In order to<br />

survive, sustain and grow, companies need to innovate constantly and not at any time be<br />

complacent with their market share or position. Innovation is all about out of the box thinking.<br />

It is about changing the way we do business and changing the business environment for the<br />

better.<br />

Creativity and innovation in<strong>vol</strong>ve the creation of something new which is central to the<br />

organization. Innovation is considered an imperative for organizational survival. The approach<br />

of organizations should be to constantly rethink the product portfolio, the supply chain, the<br />

marketing, the distribution, the pricing, the services and so on.<br />

Innovation= Idea generation+ Concept Development+ Implementation+ Exploitation.<br />

Innovation is the creation, recognition and accomplishment of new thoughts, processes,<br />

products or services it is the process of developing them into practical use.<br />

Innovation needs to be Institutionalized<br />

Innovation has to be embedded in the system of the organization. It has to be system- driven<br />

rather than people- driven, so that even if people quit the organization, the innovative culture<br />

does not diminish. Innovation is everybody’s business. It should be embedded in all aspects of<br />

an organization like product innovation, process innovation, management innovation, business<br />

models innovations, etc. In the nascent stage, ideas are simple. But as more individuals become<br />

attached, there is ample chance of the ideas becoming complicated. When we look into<br />

improving products or services, we generally end up making things more complicated. Our aim<br />

should be to make things simpler, thereby reducing manufacturing, documentation, and<br />

customer service costs. Thus, we need to innovate to simplify and not to complicate.<br />

CONCLUSION<br />

In the world of organizations, be they private or public, lack of either leads to stagnation, and<br />

leaves an organization unable to perform or meet change. There is a role for management in the<br />

creative process but it is not to manage it, it is to manage for it. Creativity does not happen<br />

exclusively and tacitly in a person’s head but in interaction with a social context wherein it may<br />

be codified.<br />

In business, the company with the best ideas wins. Organizations should take that initiative to<br />

foster an environment of creativity. It is important to learn how to be creative. There is a need<br />

to learn the formal skills of lateral thinking which make creativity available to everyone. It is<br />

important for organizational decision makers to set parameters. They should specify what they<br />

are looking for and guide their employees. If we look at the employee innovation the direct<br />

benefit is competitive advantage but the secondary benefits are greater employee empowerment<br />

and satisfaction. In this age, individual and group creativity will have to be leveraged by<br />

organizations which have the vision for moving from “good to great”.


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REFERENCES<br />

1. Ray,S. (2006). Effective Executive “Creativity and Innovation in Management” Volume VIII<br />

No.11. pp 60-65<br />

2. Kotler, P. (2009). “Marketing Management” Pearson Publications, 13 th Edition.<br />

3. Perkins, D. N. (1981). “The Mind’s Best Work” Cambridge, Mass.: Harvard University Press,<br />

1981).<br />

4. Bruner, J.S (1964). “Contemporary Approaches to Creative Thinking” New York: Atherton<br />

Press. pp 1–30<br />

5. Arieti, S. (1976). “Creativity: The Magic Synthesis” New York: Basic Books<br />

6. Ahmed, P. K.(1998). “Benchmarking innovation best practice”, Benchmarking for Quality<br />

Management & Technology, Vol.5 No.1, pp.45-58.<br />

7. Khandwalla, P. N. and Mehta, K. (2004). “Design of corporate creativity”, Vikalpa, Vol. 29, No.<br />

1, pp. 13-28.<br />

8. Man, J. (20<strong>01</strong>). “Creating innovation”, Work study, Vol. 50, No. 6, pp. 229- 233.

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