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Market Access in Pastoral Community Livestock Production (The Case of Benchi-Maji zone Surma Woreda) By HAIMANOT ASMARE

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MTU <strong>in</strong> collaboration with YOM <strong>in</strong>stitute <strong>of</strong> Economic Development<br />

College <strong>of</strong> Bus<strong>in</strong>ess & Economics Department <strong>of</strong> Economics<br />

<strong>Market</strong> <strong>Access</strong> <strong>in</strong> <strong>Pastoral</strong> <strong>Community</strong> <strong>Livestock</strong> <strong>Production</strong><br />

(<strong>The</strong> <strong>Case</strong> <strong>of</strong> <strong>Benchi</strong>-<strong>Maji</strong> <strong>zone</strong> <strong>Surma</strong> <strong>Woreda</strong>)<br />

<strong>By</strong>: <strong>HAIMANOT</strong> <strong>ASMARE</strong><br />

A <strong>The</strong>sis Submitted To the Department <strong>of</strong> Economics, School <strong>of</strong> Graduate Studies<br />

Mizan-Tepi University<br />

IN<br />

PARTIAL FULFILLMENT OF THE REQUIREMENT FOR THE AWARD OF<br />

MASTER OF SINCE 2 nd DEGREE IN PROJECT PLANING AND MANAGEMENT<br />

PRINCIPAL ADVISOR<br />

SolomonTsehay (PhD)<br />

CO-ADVISOR<br />

Fitsume Aklilu (Msc)<br />

August 2017


SCHOOL GRADUATE STUDIES<br />

Mizan-Tepi UNIVERSITY<br />

As <strong>The</strong>sis Research advisor, we here by certify that we have read and evaluated this thesis<br />

prepared, under our guidance, by Haimanot Asmare Muluneh, entitled <strong>Market</strong> <strong>Access</strong> <strong>in</strong><br />

<strong>Pastoral</strong> <strong>Community</strong> <strong>Livestock</strong> <strong>Production</strong>: <strong>The</strong> <strong>Case</strong> <strong>of</strong> <strong>Market</strong> <strong>Access</strong> <strong>in</strong> <strong>Surma</strong> woreda,<br />

SNNP Region. We recommend that it be submitted as fulfill<strong>in</strong>g the <strong>The</strong>sis requirement.<br />

Solomon Tsehay (PhD)) _________________ ______________<br />

Major Advisor Signature Date<br />

Fitsume Aklilu (Msc) _________________ ______________<br />

Co-advisor Signature Date<br />

As member <strong>of</strong> the Board <strong>of</strong> Exam<strong>in</strong>ers <strong>of</strong> the F<strong>in</strong>al M. Sc. <strong>The</strong>sis Open Defense Exam<strong>in</strong>ation,<br />

we certify that we have read, evaluated the <strong>The</strong>sis prepared by Haimanot Asmare Muluneh and<br />

exam<strong>in</strong>ed the candidate. We recommended that the <strong>The</strong>sis be accepted as fulfill<strong>in</strong>g the <strong>The</strong>sis<br />

requirement for the Degree <strong>of</strong> Master <strong>of</strong> Science <strong>in</strong> Economics (Project Plann<strong>in</strong>g and<br />

Management)<br />

______________________ _________________ _______________<br />

Chairperson Signature Date<br />

______________________ _________________ _______________<br />

Internal Exam<strong>in</strong>er Signature Date<br />

______________________ _________________ _______________<br />

External Exam<strong>in</strong>er Signature Date<br />

ii


STATEMENT OF AUTHOR<br />

First, I declare that this thesis is my work and that all sources <strong>of</strong> materials used for this thesis<br />

have been duly acknowledged. This thesis has been submitted <strong>in</strong> partial fulfillments <strong>of</strong> the<br />

requirements for an M.Sc degree at the Mizan-Tepi University and is deposited at University<br />

Library to be made available to borrowers under rules <strong>of</strong> the Library. I solemnly declare that this<br />

thesis is not submitted to any other <strong>in</strong>stitution for the award <strong>of</strong> any academic degree, diploma, or<br />

certificate.<br />

Brief quotations from this thesis are allowable without special permission, provided that accurate<br />

acknowledgement <strong>of</strong> the source is made. Requests for permission for extended quotation from or<br />

reproduction <strong>of</strong> this manuscript <strong>in</strong> whole or <strong>in</strong> part may be granted by the head <strong>of</strong> the major<br />

department or the Dean <strong>of</strong> the School <strong>of</strong> Graduate Studies when <strong>in</strong> his or her judgment the<br />

proposed use <strong>of</strong> the material is <strong>in</strong> the <strong>in</strong>terests <strong>of</strong> scholarship. In all other <strong>in</strong>stance, however,<br />

permission must be obta<strong>in</strong>ed from the author.<br />

Name: Haimanot Asmare Muluneh<br />

Signature: ………………..<br />

Place: Mizan-Tepi University, Mizan-Tepi<br />

Date <strong>of</strong> Submission: ………………………………..<br />

iii


BIOGRAPHY<br />

<strong>The</strong> author was born <strong>in</strong> Burie <strong>Woreda</strong>, Western Gojjam Zone <strong>of</strong> Amhara Region at a place called<br />

Gusha, <strong>in</strong> November, 1980. He completed his high school and preparatory education <strong>in</strong> 1999 at<br />

Burie shekudade high school and preparatory school. He jo<strong>in</strong>ed the then Mizan-Tepi University<br />

<strong>of</strong> Bus<strong>in</strong>ess and Economics facility Bus<strong>in</strong>ess Management Department <strong>in</strong> April 25/2000 E.c<br />

and graduated with B.Sc. degree <strong>in</strong> Bus<strong>in</strong>ess Management Department <strong>in</strong> Jun 2002.<br />

Soon after his graduation, he was employed <strong>in</strong> Bero woreda f<strong>in</strong>ance and economy development<br />

<strong>of</strong>fice and served <strong>in</strong> Maizan Aman Town Adm<strong>in</strong>istrative f<strong>in</strong>ance and economy development<br />

<strong>of</strong>fice for seven years. S<strong>in</strong>ce 2003, he is work<strong>in</strong>g for Bero woreda f<strong>in</strong>ance and economy<br />

development <strong>of</strong>fice at various levels. He jo<strong>in</strong>ed the school <strong>of</strong> graduate studies at Mizan-Tepi<br />

University <strong>in</strong> Jun 2007.<br />

iv


ACKNOWLEDGEMENTS<br />

First <strong>of</strong> all, I would like to thank the almighty God for his unconditional love, multitude mercy<br />

and protection upon me.<br />

I would like to extend my deepest thanks to my major advisor Solomon Tsehay (PhD) for<br />

devotion <strong>of</strong> his precious time, <strong>in</strong>valuable suggestions, comments and guidance from the<br />

<strong>in</strong>ception <strong>of</strong> design<strong>in</strong>g the proposal to the f<strong>in</strong>al write up <strong>of</strong> the thesis. I appreciate his cont<strong>in</strong>uous<br />

encouragement and efforts to keep me on the right truck. I am also thankful to my co-advisor<br />

Fitsume Aklilu (Msc) for sacrific<strong>in</strong>g his expensive time and provision <strong>of</strong> constructive comments<br />

and suggestion start<strong>in</strong>g from proposal until thesis writ<strong>in</strong>g as well as advices on employment <strong>of</strong><br />

statistical model.<br />

I would like also to express my s<strong>in</strong>cere appreciation Maizan Aman Town Adm<strong>in</strong>istrative<br />

f<strong>in</strong>ance and economy development <strong>of</strong>fice to extend my gratitude to all staff members <strong>in</strong> all<br />

aspects throughout my study.<br />

My appreciation goes to enumerators, the members <strong>of</strong> the sample household respondents, and<br />

key <strong>in</strong>formants for their cooperation dur<strong>in</strong>g data collection and generous devotion <strong>of</strong> their<br />

precious time. I am also grateful to <strong>Surma</strong> Worda pastoral development <strong>of</strong>fice for their k<strong>in</strong>d<br />

cooperation <strong>in</strong> all aspects. I am also thankful to Teghabu Belaye and Barejendaye for translat<strong>in</strong>g<br />

the <strong>in</strong>terview questionnaire to Suri language. My special gratitude goes to my father Asmare<br />

Muluneh, my mother Addise Awoke and my families for their tireless effort to realize the<br />

f<strong>in</strong>ancial support and cont<strong>in</strong>ues encouragement and hospitality. I am also <strong>in</strong>debted to Getenet<br />

Asmare for devotion <strong>of</strong> his precious time to read the thesis and give constructive comments and<br />

suggestion.<br />

Last but not the least, my deepest heartfelt appreciation goes to my wife Mesert Fekadu and my<br />

son Beruk Haimanot<br />

hardship at my absence.<br />

for her encouragement, love, and patience to withstand lonel<strong>in</strong>ess and<br />

v


ABBREVIATIONS<br />

GDP - Growth Domestic Product<br />

FAO – Food and Agricultural Organization<br />

ESA - Ethiopian statics agency<br />

SNNP - South Nation Nationality People<br />

NGO - Non-governmental Organization<br />

IGAD- Inter Governmental Authority for Development<br />

PRM - Participatory regional management<br />

ASALS- Arid and Semi-arid lands<br />

MIS- <strong>Market</strong><strong>in</strong>g Information System<br />

APFS- Agro pastoral Filed school<br />

TADS – Trans’ boundary Animal Diseases<br />

FMD - Foot and Mouth Diseases<br />

PPR – Peste des petits Rum<strong>in</strong>ants<br />

CBPP- contagious Bov<strong>in</strong>e Pleuropneumonia<br />

CCPP – contagious capr<strong>in</strong>e Pleuropneumonia<br />

PFE- Policy Framework on <strong>Pastoral</strong>ism<br />

AU – Africa union<br />

PASC – <strong>Pastoral</strong> Airs stand<strong>in</strong>g Committee<br />

EPD – Ethiopian <strong>Pastoral</strong> Day<br />

PCDP – <strong>Pastoral</strong> community development program<br />

MDG – Millennium Development goal<br />

vi


TLU – Tropical <strong>Livestock</strong> unit<br />

EC- Ethiopia Calendar<br />

Cor – correlation<br />

MFx – Marg<strong>in</strong>al effect<br />

logit- logistics regression<br />

VIF - Variance Inflation Factor<br />

REG – regression<br />

KA - Kebele Adm<strong>in</strong>istration<br />

TV - Television<br />

PPS - Probability Proportional to Sample size<br />

WAFDO - <strong>Woreda</strong> Animal and fish development Office<br />

WPDO - <strong>Woreda</strong> <strong>Pastoral</strong> development Office<br />

MDA – <strong>Market</strong> Development agent<br />

vii


Content<br />

TABLE OF CONTENTS<br />

Page<br />

STATEMENT OF AUTHOR----------------------------------------------------------------------------- II<br />

BIOGRAPHY ----------------------------------------------------------------------------------------------- III<br />

ACKNOWLEDGEMENTS -------------------------------------------------------------------------------IV<br />

ABBREVIATIONS ------------------------------------------------------------------------------------------V<br />

TABLE OF CONTENTS ---------------------------------------------------------------------------------VII<br />

LIST OF TABLES ----------------------------------------------------------------------------------------XII<br />

LIST OF FIGURES --------------------------------------------------------------------------------------XIV<br />

LIST OF TABLES IN APPENDIX --------------------------------------------------------------------XV<br />

ABSTRACT -----------------------------------------------------------------------------------------------XVI<br />

CHAPTER ONE-----------------------------------------------------------------------------------------------1<br />

1. Introduction-----------------------------------------------------------------------------------------------1<br />

1.1 Background and Justification <strong>of</strong> the Study ----------------------------------------------------------1<br />

1.2 Statement <strong>of</strong> the Problem ------------------------------------------------------------------------------4<br />

1.3 Objectives <strong>of</strong> the Study --------------------------------------------------------------------------------5<br />

1.3.1 General objective ---------------------------------------------------------------------------------5<br />

1.3.2 Specific objective-------------------------------------------------------------------------------------5<br />

1.4 Research Question--------------------------------------------------------------------------------------5<br />

1.5 Scope <strong>of</strong> the Study--------------------------------------------------------------------------------------6<br />

1.6 Significance <strong>of</strong> the Study------------------------------------------------------------------------------6<br />

viii


1.7 Limitation <strong>of</strong> the Study--------------------------------------------------------------------------------6<br />

1.8 Organization <strong>of</strong> the Study------------------------------------------------------------------------------7<br />

CHAPTER TWO---------------------------------------------------------------------------------------------8<br />

REVIEW LITERATURE -----------------------------------------------------------------------------------8<br />

2.1.1 Concept def<strong>in</strong>ition <strong>of</strong> <strong>Market</strong> accesses <strong>in</strong> pastoral community livestock production---------8<br />

2.1.2 History and orig<strong>in</strong>s <strong>of</strong> pastoralism-------------------------------------------------------------------9<br />

2.1.3 <strong>Livestock</strong> <strong>Production</strong> System <strong>in</strong> Ethiopia---------------------------------------------------------10<br />

2.1.3.1 Agro-pastoral (highland) system------------------------------------------------------------------10<br />

2.1.3.2 <strong>Pastoral</strong> (lowland) livestock system--------------------------------------------------------------11<br />

2.2. Future Potential <strong>of</strong> Ethiopian livestock -------------------------------------------------------------11<br />

2.3. Value cha<strong>in</strong> livestock <strong>Production</strong> --------------------------------------------------------------------13<br />

2.4. Social importance <strong>of</strong> livestock to <strong>Pastoral</strong>ists and lack <strong>of</strong> Alternative Assets-----------------13<br />

2.5 Lack <strong>of</strong> Transparency on Quality Health and Weight ---------------------------------------------14<br />

2.6 Address Specific Constra<strong>in</strong>ts That Cut across Sectors<br />

That H<strong>in</strong>der <strong>Livestock</strong> Development---------------------------------------------------------------------14<br />

2.7. <strong>Market</strong> <strong>Access</strong> and Trade------------------------------------------------------------------------------16<br />

2.7.1 <strong>Access</strong> to market <strong>in</strong>formation-----------------------------------------------------------------------16<br />

2.7.2 <strong>Market</strong><strong>in</strong>g <strong>of</strong> livestock and livestock products----------------------------------------------------18<br />

2.7.3 <strong>Livestock</strong> production constra<strong>in</strong>ts-------------------------------------------------------------------18<br />

2.7.4 Sell<strong>in</strong>g <strong>Pastoral</strong> Products-----------------------------------------------------------------------------19<br />

2.7.5 <strong>Market</strong><strong>in</strong>g <strong>in</strong>frastructure-----------------------------------------------------------------------------20<br />

2.7.6 <strong>Market</strong> support <strong>in</strong>frastructure and <strong>in</strong>formation system------------------------------------------20<br />

ix


2.7.7 <strong>Livestock</strong> market<strong>in</strong>g <strong>in</strong>frastructure improved ----------------------------------------------------20<br />

2.7.8 Regional <strong>Livestock</strong> <strong>Market</strong><strong>in</strong>g Information System strengthened-----------------------------21<br />

2.7.9 Improv<strong>in</strong>g livestock mobility and trade <strong>in</strong> livestock and livestock products-----------------21<br />

2.8 Major contribution <strong>of</strong> PFE so FAR-------------------------------------------------------------------22<br />

2.8.1 Rais<strong>in</strong>g the parole <strong>of</strong> pastoralist <strong>in</strong> the country---------------------------------------------------22<br />

2.8.2 Development <strong>of</strong> regional pastoral policy frameworks and programs--------------------------23<br />

2.8.3 Facts about Ethiopian <strong>Pastoral</strong>ists -----------------------------------------------------------------23<br />

2.9. Empirical Studies---------------------------------------------------------------------------------------24<br />

2.10 Conceptual Framework ------------------------------------------------------------------------------28<br />

CHAPTER THREE------------------------------------------------------------------------------------------30<br />

3. METHODOLOGY ---------------------------------------------------------------------------------------30<br />

3.1 Description <strong>of</strong> the Study Area ------------------------------------------------------------------------30<br />

3.2 Sampl<strong>in</strong>g procedure ------------------------------------------------------------------------------------31<br />

3.2.1. Sampl<strong>in</strong>g design -------------------------------------------------------------------------------------31<br />

3.2.2 Sampl<strong>in</strong>g frame ---------------------------------------------------------------------------------------31<br />

3.2.3. Sample size determ<strong>in</strong>ation -------------------------------------------------------------------------31<br />

3.2.4. Sample size -------------------------------------------------------------------------------------------32<br />

3.3 Data types and source ----------------------------------------------------------------------------------32<br />

3.4 Data Collection Tools and Procedures ---------------------------------------------------------------33<br />

3.4.1 Quantitative data collection methods --------------------------------------------------------------33<br />

3.4.1.1 Interview---------------------------------------------------------------------------------------------33<br />

x


3.4.1.2 Focus Group Discussion --------------------------------------------------------------------------33<br />

3.4.1.3 Participant Observation ---------------------------------------------------------------------------34<br />

3.4.2 Qualitative data collection methods --------------------------------------------------------------34<br />

3.4.2.1 Secondary Data -------------------------------------------------------------------------------------34<br />

3.5 Methods <strong>of</strong> data analysis-------------------------------------------------------------------------------35<br />

3.5.1. Descriptive methods ---------------------------------------------------------------------------------35<br />

3.5.2. Regression analysis ----------------------------------------------------------------------------------35<br />

3.5.3 logit regression ----------------------------------------------------------------------------------------36<br />

3.5.4 Model specification ----------------------------------------------------------------------------------36<br />

3.5.5. Variables to be <strong>in</strong>cluded <strong>in</strong> the model Analysis <strong>of</strong> Determ<strong>in</strong>ants <strong>of</strong> MAIPCLP by<br />

pastoralists----------------------------------------------------------------------------------------------------40<br />

3.6 Def<strong>in</strong>ition <strong>of</strong> Variables ---------------------------------------------------------------------------------41<br />

3.6.1 Dependent variable -----------------------------------------------------------------------------------41<br />

3.6.2 Independent variables --------------------------------------------------------------------------------42<br />

3.6.3 Def<strong>in</strong>ition <strong>of</strong> Independent Variables and hypothesis --------------------------------------------42<br />

CHAPTER FOUR-------------------------------------------------------------------------------------------45<br />

RESULTS AND DISCUSSION---------------------------------------------------------------------------45<br />

4. 1 Introduction----------------------------------------------------------------------------------------------45<br />

4.1.1 <strong>Market</strong> access <strong>in</strong> pastoral community livestock production user’s category------------------45<br />

4.1.2 Descriptions <strong>of</strong> Demographic, Economic, Communication, Situational, Socio-cultural and<br />

Psychological Characteristics <strong>of</strong> Respondents-----------------------------------------------------------46<br />

4.2 Demographic characteristics <strong>of</strong> sample household ------------------------------------------------47<br />

xi


4.2.1 Age <strong>of</strong> respondents -----------------------------------------------------------------------------------47<br />

4.2.2 Education level----------------------------------------------------------------------------------------47<br />

4.2.3 Family size---------------------------------------------------------------------------------------------48<br />

4.3 Psychological factors-----------------------------------------------------------------------------------49<br />

4.3.1 Knowledge <strong>of</strong> livestock productivity Package----------------------------------------------------49<br />

4.3.2 Achievement motivation-----------------------------------------------------------------------------50<br />

4.4 Socio-cultural factors-----------------------------------------------------------------------------------50<br />

4.4.1 Social Participation-----------------------------------------------------------------------------------51<br />

4.5 Economic factors----------------------------------------------------------------------------------------52<br />

4.5.1 <strong>Livestock</strong> owned number /wealth-------------------------------------------------------------------52<br />

4.5.2 <strong>Livestock</strong> production <strong>in</strong>come (yearly sales) ------------------------------------------------------52<br />

4.5.5. Communication Factors-----------------------------------------------------------------------------53<br />

4.5.1 Mass media exposure---------------------------------------------------------------------------------53<br />

4.5.2 Information shar<strong>in</strong>g behavior------------------------------------------------------------------------56<br />

4.6 Situational factor----------------------------------------------------------------------------------------57<br />

4.6.1 Transportation facility--------------------------------------------------------------------------------57<br />

4.6.2 Distance from the market----------------------------------------------------------------------------57<br />

4.6.4 Distance from Centre---------------------------------------------------------------------------------58<br />

4.7. Analysis <strong>of</strong> Determ<strong>in</strong>ants <strong>of</strong> MAIPCLP by pastoralists-------------------------------------------59<br />

4.8. Analysis <strong>of</strong> Determ<strong>in</strong>ants <strong>of</strong> yearly sales (<strong>in</strong>come) by pastoralists------------------------------63<br />

xii


4.9. <strong>The</strong> extent <strong>of</strong> <strong>Market</strong> <strong>Access</strong> <strong>in</strong> pastoral community livestock production <strong>in</strong>formation<br />

shar<strong>in</strong>g <strong>in</strong> the study area------------------------------------------------------------------------------------64<br />

4.9.1 Group discussion <strong>Market</strong> access livestock production <strong>in</strong>formation shar<strong>in</strong>g------------------64<br />

4.9.2 Group discussion challenges <strong>of</strong> formal <strong>Market</strong> access livestock <strong>in</strong> the study area-----------64<br />

CHAPTER FIVE -----------------------------------------------------------------------------------------69<br />

5. CONCLUSION AND RECOMMENDATION------------------------------------------------------69<br />

5.1 Conclusion-----------------------------------------------------------------------------------------------69<br />

5.2 Recommendations---------------------------------------------------------------------------------------71<br />

Reference -----------------------------------------------------------------------------------------------------73<br />

7. Appendix --------------------------------------------------------------------------------------------------76<br />

xiii


LIST OF TABLES<br />

Table<br />

Page<br />

1. List <strong>of</strong> variables to be <strong>in</strong>cluded <strong>in</strong> the logit model is presented ----------------------------------40<br />

2. Distribution <strong>of</strong> household respondent by level <strong>of</strong> MAIPCLP ------------------------------------46<br />

3. Association between education level <strong>of</strong> respondents and MAIPCLP----------------------------48<br />

4. Association between Knowledge <strong>of</strong> livestock productivity<br />

<strong>of</strong> respondents and MAIPCLP ------------------------------------------------------------------------49<br />

5. Association between achievement motivation <strong>of</strong> respondents and MAIPCLP -----------------50<br />

6. Association between social participation <strong>of</strong> respondents and MAIPCLP -----------------------51<br />

7. Association between media exposure <strong>of</strong> respondent and their MAIPCLP ---------------------53<br />

8. Distribution <strong>of</strong> respondents by types <strong>of</strong> mass media exposure area MAIPCLP ---------------54<br />

9. Importance <strong>of</strong> media programs attended by household respondent------------------------------55<br />

10. Association between shar<strong>in</strong>g available <strong>in</strong>formation by respondent and their MAIPCLP -----56<br />

11. Association between respondent transportation facility and their MAIPCLP ----------------57<br />

12. <strong>The</strong> maximum likelihood estimates and the marg<strong>in</strong>al effects <strong>of</strong> logit model output are<br />

presented--------------------------------------------------------------------------------------------------59<br />

13. <strong>The</strong> multiple regression effects <strong>of</strong> multicoll<strong>in</strong>earity output are yearly sale (<strong>in</strong>come)<br />

presented--------------------------------------------------------------------------------------------------63<br />

14. Association between different distance from the <strong>in</strong>formation source <strong>of</strong> respondent and their<br />

MAIPCLP------------------------------------------------------------------------------------------------64<br />

30 Group discussion challenges <strong>of</strong> formal <strong>Market</strong> access livestock <strong>in</strong> the study area--------------66<br />

32. <strong>The</strong> maximum likelihood estimates and the marg<strong>in</strong>al effects <strong>of</strong> logit model output are<br />

presented------------------------------------------------------------------------------------------------------67<br />

xiv


Figure<br />

LIST OF FIGURES<br />

Page<br />

1. Conceptual framework....................................................................................................29<br />

xv


Appendix Table<br />

LIST OF TABLES IN APPENDIX<br />

Page<br />

1. Sampl<strong>in</strong>g procedure--------------------------------------------------------------------------------------76<br />

2. Questionnaire----------------------------------------------------------------------------------------------77<br />

3. logit model regression <strong>in</strong> market access --------------------------------------------------------------94<br />

4. Marg<strong>in</strong>al effects after logit market access ------------------------------------------------------------95<br />

5. Post estimation tests for the logit model <strong>Market</strong> access--------------------------------------------96<br />

6. Variance Inflation Factor--------------------------------------------------------------------------------96<br />

7. Post estimation tests for the multiple regressions yearly sale (<strong>in</strong>come) --------------------------97<br />

8. estat ovtest(omitted variable) yearly sale (<strong>in</strong>come)--------------------------------------------------97<br />

9. <strong>Market</strong> Canals and number <strong>of</strong> Formal and Informal trade Areas ----------------------------------98<br />

xvi


ABSTRACT<br />

This study was conducted <strong>in</strong> <strong>Surma</strong> Worda, <strong>of</strong> <strong>Benchi</strong>-maji <strong>zone</strong>, southwest SNNPRG Region<br />

located at about 755Km, southwest <strong>of</strong> Addis Ababa. <strong>The</strong> study has tried to look <strong>in</strong>to the extent <strong>of</strong><br />

market access <strong>in</strong> pastoral community livestock production and determ<strong>in</strong>ants <strong>of</strong> market access<br />

livestock production by pastoralists <strong>in</strong> the area. Cross sectional data collected <strong>in</strong> 2008 fiscal year<br />

from a total 126 respondents selected us<strong>in</strong>g PPS (Probability Proportional to Sample size) was<br />

used for the study. Pre-tested structured <strong>in</strong>terview schedule was employed for collect<strong>in</strong>g the<br />

required quantitative data. Group discussion was used to crosscheck the data collected through<br />

formal survey and also to generate additional contextual data. <strong>The</strong> f<strong>in</strong>d<strong>in</strong>g <strong>of</strong> the survey shows<br />

that neighbours or friends, other <strong>Pastoral</strong>ists and religious organization are the major market<br />

access <strong>in</strong>formation sources and dom<strong>in</strong>antly <strong>in</strong>formation shar<strong>in</strong>g on the market access takes place<br />

among pastoral community to pastoralists. Moreover, market access obta<strong>in</strong>ed from neighbours or<br />

friends has sound perceived value among pastoralists. Product Moment correlation analysis<br />

between explanatory variable and market access users category by pastoralists shows that level<br />

<strong>of</strong> level <strong>of</strong> education, Achievement motivation, wealth, social participation, mass media<br />

exposure, distance from market and distance from the center were negatively related to market<br />

access <strong>in</strong> pastoral community livestock production at various degree <strong>of</strong> strength. Whereas, age<br />

<strong>of</strong> the respondent, <strong>in</strong>formation shar<strong>in</strong>g behavior and transportation facility were positively<br />

related to market access <strong>in</strong> pastoral community livestock production. <strong>The</strong> logit model coefficient<br />

output <strong>in</strong>dicates that market access <strong>in</strong> pastoral community by pastoralists were <strong>in</strong>fluenced by age<br />

<strong>of</strong> the respondent, <strong>in</strong>formation shar<strong>in</strong>g behavior and transportation facility are positively and <strong>of</strong><br />

level <strong>of</strong> education, achievement <strong>of</strong> motivation, distance from market, social participation, mass<br />

media exposure and distance from the center negatively. Policy makers should give emphasis<br />

<strong>Pastoral</strong>ist to pastoralist flow <strong>of</strong> <strong>in</strong>formation while promot<strong>in</strong>g new <strong>in</strong>novated technologies and<br />

market access. Identify<strong>in</strong>g prevail<strong>in</strong>g social networks and <strong>in</strong>formal organizations <strong>in</strong> every<br />

community and utiliz<strong>in</strong>g them <strong>in</strong> dissem<strong>in</strong>ation assumes much importance. As the pastoralists<br />

ma<strong>in</strong>ly depend on livestock production for their livelihoods and other cultural values, livestock<br />

market take advantage <strong>of</strong> the asymmetric market <strong>in</strong>formation towards them. L<strong>in</strong>k<strong>in</strong>g producers<br />

to market and its benefits, establish<strong>in</strong>g <strong>in</strong> cooperatives and development <strong>of</strong> <strong>in</strong>frastructure could<br />

play a significant role for optimization <strong>of</strong> the sector productivity<br />

xvii


CHAPTER ONE<br />

1. Introduction<br />

1.1 Background <strong>of</strong> the Study<br />

<strong>Pastoral</strong>ists <strong>in</strong> world markets, <strong>Pastoral</strong>ists face specific problems <strong>in</strong> access<strong>in</strong>g world markets.<br />

<strong>The</strong>ir reasons for select<strong>in</strong>g certa<strong>in</strong> animals for sale, and the tim<strong>in</strong>g <strong>of</strong> such sales, are hard for<br />

outsiders to understand and do not necessarily fit well with the demands <strong>of</strong> modern trad<strong>in</strong>g<br />

systems. Poor transport l<strong>in</strong>ks, difficulties access<strong>in</strong>g market <strong>in</strong>formation and poor <strong>in</strong>frastructure<br />

also make market<strong>in</strong>g difficult <strong>in</strong> market access pastoral community livestock production (Aklilu,<br />

Y. 2008).<br />

When rais<strong>in</strong>g livestock <strong>in</strong> areas with a high <strong>in</strong>cidence <strong>of</strong> animal diseases and under-developed<br />

veter<strong>in</strong>ary services, comply<strong>in</strong>g with <strong>in</strong>ternational trade regulations is difficult. In response,<br />

donors have been work<strong>in</strong>g to improve trade <strong>in</strong>stitutions and policies, <strong>in</strong>clud<strong>in</strong>g the development<br />

<strong>of</strong> commodity standards <strong>in</strong> place <strong>of</strong> certified disease-free status for a region (Aklilu and Catley<br />

2009).<br />

<strong>Livestock</strong> market heritage is still <strong>in</strong> Ethiopia pastoralists, As livestock becomes <strong>in</strong>creas<strong>in</strong>gly<br />

recognized for its significant contribution to Gross Domestic Product (GDP) and exports, <strong>The</strong><br />

authors del<strong>in</strong>eate migration patterns, rationales, and market strategies, and <strong>of</strong>fer for policy<br />

makers and service providers <strong>in</strong>teract<strong>in</strong>g with communities that practice pastoralism. Road is one<br />

<strong>of</strong> a very important <strong>in</strong>frastructure <strong>in</strong> the livestock market<strong>in</strong>g system. <strong>The</strong> type <strong>of</strong> road connect<strong>in</strong>g<br />

an area determ<strong>in</strong>es the type <strong>of</strong> buyers that can get access to its market. It also affects the<br />

livestock production <strong>of</strong> most <strong>of</strong> the Participants <strong>in</strong> the livestock market (Aklilu and Catley 2009).<br />

Ethiopia is the world’s tenth largest livestock producer and the biggest exporter <strong>of</strong> livestock<br />

<strong>in</strong> Africa. <strong>The</strong> country has 40 million cattle, 25.5 million sheep, 23.4 million goats and 2.3<br />

million camels, accord<strong>in</strong>g to a sample census carried out by the Central Statistics Authority <strong>of</strong><br />

Ethiopia between 2001 and 2003(Embassy <strong>of</strong> Ethiopia Economy 2008). Ethiopia presently <strong>of</strong>fers<br />

the global market a wide range <strong>of</strong> processed and semi-processed hides and sk<strong>in</strong>s. Some <strong>of</strong> the<br />

products, such as Ethiopian highland sheepsk<strong>in</strong>, are renowned for their quality and natural<br />

characteristics. <strong>The</strong> export <strong>of</strong> f<strong>in</strong>ished leather and leather products (such as leather garments,<br />

1


footwear, gloves, bags and other leather articles) is also <strong>in</strong>creas<strong>in</strong>g (Embassy <strong>of</strong> Ethiopia<br />

Economy 2008).<br />

<strong>Market</strong> centers and their associated <strong>in</strong>frastructures are important factors that have to be<br />

considered <strong>in</strong> the move to <strong>in</strong>crease the supply <strong>of</strong> livestock for both domestic and export markets.<br />

Due to the wider geographical location <strong>of</strong> pastoralists, some important sources <strong>of</strong> livestock are<br />

very far from market centers (Gezahegne et al., 2006). <strong>Pastoral</strong>ists from the border areas need to<br />

travel for a week or more to reach these market areas, this <strong>in</strong>fluences the market<strong>in</strong>g behavior <strong>of</strong><br />

pastoralists that they either have to keep their animals unsold or they have to go to nearby<br />

<strong>in</strong>formal markets <strong>in</strong> the neighbor<strong>in</strong>g countries, In order to attract such resources to the central<br />

markets, there is a need to thoroughly assess these remote areas and open up primary markets<br />

with at least dry weather roads connect<strong>in</strong>g them to secondary markets (Gezahegne et al., 2006).<br />

<strong>Livestock</strong> hold<strong>in</strong>gs <strong>of</strong> cattle, camels, goats and sheep <strong>of</strong>ten comprise the bulk <strong>of</strong> their limited<br />

wealth and are an <strong>in</strong>tegral part <strong>of</strong> their socio - cultural life. Along with the unfavorable agroecology<br />

<strong>of</strong> the study area and the limited livelihood opportunities pastoral systems <strong>of</strong> the study<br />

areas are exposed to frequent droughts. <strong>in</strong>dicat<strong>in</strong>g the loss <strong>of</strong> productive livestock production<br />

<strong>The</strong> environmental adaptation <strong>of</strong> <strong>in</strong>digenous breeds facilitates livestock production <strong>in</strong> a wide<br />

range <strong>of</strong> agro ecological conditions and constra<strong>in</strong>ts particularly the areas that most poor<br />

pastoralists <strong>in</strong>habit and use S<strong>in</strong>ce successful livestock development programmers <strong>in</strong> the future<br />

will require both enhancement <strong>of</strong> productivity and ma<strong>in</strong>tenance <strong>of</strong> local adaptation, the<br />

knowledge <strong>of</strong> ecological importance, breed and trait preferences <strong>of</strong> the <strong>in</strong>tended beneficiaries<br />

need to be identified prior to attempt<strong>in</strong>g any breed improvement <strong>in</strong>terventions (Daka, 2002;<br />

Simbaya 2002).<br />

<strong>The</strong> domestic market <strong>in</strong> Ethiopia is supplied largely by highland cattle, due to proximity, to<br />

the exclusion <strong>of</strong> the pastoral areas - the ma<strong>in</strong> reason for the flow <strong>of</strong> trade herds from pastoral<br />

areas <strong>of</strong> Ethiopia. However, this trend can change at any time, when and if Ethiopia starts<br />

export<strong>in</strong>g beef, as was the case with shoats. Also note that there are more cattle <strong>in</strong> the highland<br />

areas <strong>of</strong> Ethiopia than <strong>in</strong> the pastoral areas. Information and knowledge are key elements <strong>in</strong> rural<br />

development. Knowledge provides much <strong>of</strong> the ideas and momentum for agricultural and other<br />

changes. Information com<strong>in</strong>g from outside the area can br<strong>in</strong>g fresh ideas, awareness <strong>of</strong> new<br />

2


opportunities. Knowledge derived from formal research, or developed <strong>in</strong> other localities, can<br />

stimulate new th<strong>in</strong>k<strong>in</strong>g and practices (Chris et al., 2003).<br />

Traditional livestock farmers also play a pivotal role <strong>in</strong> the supply <strong>of</strong> livestock to the<br />

livestock <strong>in</strong>dustry especially <strong>in</strong> the beef sub- sector. However, this category <strong>of</strong> farmers is<br />

characterized by a number <strong>of</strong> constra<strong>in</strong>ts, major ones be<strong>in</strong>g low productivity and limited access<br />

to livestock markets (Aregheore, 2006; Negassa 2008). Low productivity is manifested <strong>in</strong> low<br />

production and reproduction parameters which result <strong>in</strong> reduced meat yields and low livestock<br />

numbers (Simbaya 2002), <strong>of</strong>ten exacerbated by <strong>in</strong>sufficient and low quality <strong>of</strong> feed, diseases,<br />

poor animal husbandry and <strong>in</strong>adequate extension services (Daka, 2002; Simbaya 2002).<br />

While livestock production is itself considered enough <strong>in</strong>dication that the household is well <strong>of</strong>f<br />

(Ali and Khan 2013), <strong>in</strong>vestment <strong>in</strong> improved market access is regarded as a sure means to<br />

accelerate rural poverty reduction (Chapoto et al. 2011). Low market access is <strong>of</strong>ten blamed on<br />

limited numbers <strong>of</strong> livestock owned, long distances to ma<strong>in</strong> roads, impassability <strong>of</strong> roads, and<br />

crop commercialization (Lubungu et al. 2012, Negassa 2008). Makhura (2001) contends that<br />

market participation is higher fo r smaller livestock, which tend to be reared by female farmers<br />

and ma<strong>in</strong>ly for livelihood purposes rather than for social status.<br />

Productive potential and market access on livestock production. Weal so test for the existence<br />

<strong>of</strong> heterogeneous effects across agro-ecological regions, livestock species and poverty stat us <strong>of</strong><br />

the household. Unlike most prior studies that use narrow measures <strong>of</strong> welfare like <strong>in</strong>come or<br />

expenditure (Desh<strong>in</strong>gkar et al., 2008, Greeley 1994), we use a more comprehensive participatory<br />

wealth rank<strong>in</strong>g exercise to classify the households <strong>in</strong>to wealth strata. To the best <strong>of</strong> our<br />

knowledge, no study has looked at all these issues so comprehensively with<strong>in</strong> a mixed-methods<br />

framework.<br />

In pastoral areas, livestock are usually sold to meet family needs for cash <strong>in</strong>come, which is<br />

used to buy food gra<strong>in</strong>s and <strong>in</strong>dustrial products such as cloth<strong>in</strong>g. Occasionally, seasonal shortage<br />

<strong>of</strong> ra<strong>in</strong>fall through its impact on feed availability forces higher supply to market. <strong>The</strong><br />

pastoralists’ forced supply is constra<strong>in</strong>ed by their <strong>in</strong>ability to plan sales <strong>in</strong> accordance with<br />

market need (time and quality) (Belachew and Jemberu, 2003).<br />

3


<strong>The</strong>refore, the objective <strong>of</strong> this review is:<br />

• To review the factors affect<strong>in</strong>g livestock market access <strong>in</strong> the study area<br />

• To review livestock market structure and livestock production<br />

1.2 Statement <strong>of</strong> the Problem<br />

Ethiopia has a huge stock <strong>of</strong> livestock which makes it the lead<strong>in</strong>g <strong>in</strong> Africa <strong>in</strong>terims <strong>of</strong><br />

number. But the contribution <strong>of</strong> the sector to the economy is <strong>in</strong>f<strong>in</strong>itesimal. This could be<br />

substantiated by the fact that the sector contributes average 24% <strong>of</strong> agricultural GDP and only<br />

11% percent <strong>of</strong> the national GDP (Asfaw, 2009). <strong>The</strong> ma<strong>in</strong> reason for such poor performance <strong>of</strong><br />

the sector is limited market access and low quality production. <strong>The</strong> present performance <strong>of</strong> the<br />

sector neither matches its potential nor does it meet the country’s food demand and level <strong>of</strong><br />

tread. <strong>The</strong>refore, the challenge <strong>in</strong> Ethiopia has been how to make advances <strong>in</strong> adopt<strong>in</strong>g and us<strong>in</strong>g<br />

market access to br<strong>in</strong>g about perceptible changes <strong>in</strong> the live stoke production to enhance<br />

pastoralists’ standards <strong>of</strong> liv<strong>in</strong>g <strong>in</strong> the long-term.<br />

Large segment <strong>of</strong> the population <strong>in</strong> pastoralist areas engages <strong>in</strong> livestock production <strong>in</strong><br />

Ethiopia. Particularly, <strong>in</strong> <strong>Surma</strong> woreda which is dom<strong>in</strong>antly pastoralist area livestock<br />

production is the dom<strong>in</strong>ant sector. <strong>The</strong> underdevelopment <strong>of</strong> <strong>in</strong>frastructure and challeng<strong>in</strong>g<br />

topography prevail<strong>in</strong>g <strong>in</strong> the woreda hampers accessibility <strong>of</strong> pastoralists to up-to-date market<br />

access livestock production and pastoral community. Most <strong>of</strong> our pastoralists who are liv<strong>in</strong>g their<br />

life thoroughly depend<strong>in</strong>g on traditional livestock production practice do not dwell close to each<br />

other, which adversely affects the desire they have to know what problems other pastoralists face<br />

and how they are solv<strong>in</strong>g those problems <strong>in</strong> their market accesses <strong>in</strong> livestock production. It has<br />

highly <strong>in</strong>formal livestock market <strong>in</strong> the woreda which have the way for the community to benefit<br />

from their livestock.<br />

<strong>The</strong>re is scanty <strong>of</strong> literature on livestock market access <strong>in</strong> Ethiopia <strong>in</strong> general and <strong>in</strong> <strong>Surma</strong><br />

woreda <strong>in</strong> particular. Many <strong>of</strong> the research have given emphasis to livestock value cha<strong>in</strong><br />

assessment (Kefyalew Alemayehu2011), Diagnostic study <strong>of</strong> live cattle and beef production and<br />

4


market<strong>in</strong>g (S<strong>in</strong>tayehu GebreMariam, Samuel Amare 2010), Women livestock ownership and<br />

market<strong>in</strong>g (jemimah Njuki and pascal c.sang<strong>in</strong>ga 2013), market structure conduct and<br />

performance <strong>of</strong> cattle <strong>in</strong> pastoral area ( Zekarias Bassa and Teshale Woldeamanue1) and<br />

<strong>Livestock</strong> market<strong>in</strong>g <strong>in</strong> Kenya (Aklilu Y. 2008). This research generated useful market accesses<br />

are not made accessible to pastoralists for various reason <strong>in</strong>clud<strong>in</strong>g lack <strong>of</strong> proper channel to<br />

dissem<strong>in</strong>ate exist<strong>in</strong>g <strong>in</strong>formation and <strong>in</strong>frastructures. <strong>The</strong>refore illum<strong>in</strong>ates light on market<br />

access <strong>in</strong> pastoral community <strong>of</strong> livestock production <strong>in</strong> surma woreda.<br />

1.3 Objectives <strong>of</strong> the Study<br />

1.3.1 General objective<br />

<strong>The</strong> general objective <strong>of</strong> the study is to analyze the market access <strong>in</strong> pastoral community<br />

livestock production <strong>in</strong> the study area.<br />

1.3.2 Specific objectives<br />

<strong>The</strong> specific objectives <strong>of</strong> the study are:<br />

1. To analyze the extent <strong>of</strong> market access <strong>in</strong> pastoral community livestock production.<br />

2. To exam<strong>in</strong>e challenges <strong>of</strong> market access livestock production <strong>in</strong> pastoralists.<br />

3. To review current market practices and constra<strong>in</strong>t market access livestock production.<br />

1.4 Research Question<br />

1. To what extent does market access <strong>in</strong> pastoral community livestock production take place?<br />

2. What factors affect market access <strong>in</strong> pastoral community livestock production?<br />

3. What are the current market practice as well as research advancements <strong>in</strong> market access and<br />

resolv<strong>in</strong>g constra<strong>in</strong>ts?<br />

5


1.5 Scope <strong>of</strong> the Study<br />

<strong>The</strong> study is limited to only one purposely selected area, surma <strong>Woreda</strong> <strong>of</strong> <strong>Benchi</strong> maji <strong>zone</strong><br />

<strong>in</strong> SNNP Region. Due to limitations <strong>of</strong> time, f<strong>in</strong>ancial as well as other relevant resources, the<br />

study focuses only on the market access <strong>in</strong> pastoral community livestock production <strong>in</strong> the study<br />

area.<br />

1.6 significance <strong>of</strong> the study<br />

<strong>The</strong> f<strong>in</strong>d<strong>in</strong>gs <strong>of</strong> this study can be used primarily for mak<strong>in</strong>g generalizations regard<strong>in</strong>g market<br />

access <strong>in</strong> pastoral community livestock production <strong>in</strong> surma worda. However, the research<br />

f<strong>in</strong>d<strong>in</strong>gs could be used to raise awareness among different stakeholders and also serve as<br />

background market access <strong>in</strong>formation for others who seek to do further related research and<br />

would serve <strong>in</strong> formulat<strong>in</strong>g and rais<strong>in</strong>g market accesses <strong>in</strong> pastoral community and livestock<br />

production. This study was contributed toward the understand<strong>in</strong>g <strong>of</strong> the level <strong>of</strong> market access <strong>in</strong><br />

pastoral community livestock production. Furthermore, the further study <strong>of</strong> market access <strong>in</strong><br />

pastoral community livestock production various stakeholders labor<strong>in</strong>g for betterment <strong>of</strong><br />

livestock production. <strong>Pastoral</strong>ists, extension agents, subject matter specialists, planners,<br />

researchers, policy makers, and other related government agencies, Nongovernmental<br />

Organizations (NGOs), and private sectors might use the results <strong>of</strong> this study, for further<br />

guidance and formulation regard<strong>in</strong>g suitable strategies and polices.<br />

1.7 Limitation <strong>of</strong> the Study<br />

<strong>The</strong> limitations <strong>of</strong> this thesis were limitation <strong>of</strong> time budget constra<strong>in</strong>ts and there are only a<br />

few studies related and conducted <strong>in</strong> the area <strong>of</strong> market access <strong>in</strong> pastoral community livestock<br />

production. Thus, the researcher faced high limitations <strong>of</strong> empirical studies to make the<br />

comparisons <strong>of</strong> research f<strong>in</strong>d<strong>in</strong>gs conducted <strong>in</strong> the country till to date. To conquer the limitation<br />

<strong>of</strong> related studies, the review <strong>of</strong> literature focuses ma<strong>in</strong>ly on studies conducted on the adoption<br />

and diffusion <strong>in</strong> the area <strong>of</strong> market access <strong>in</strong> pastoral community livestock production both <strong>in</strong><br />

the country and abroad that deal directly or <strong>in</strong>directly with how market accesses reaches the<br />

pastoralists.<br />

6


1.8 Organization <strong>of</strong> the Study<br />

This thesis is composed <strong>of</strong> four chapters. <strong>The</strong> first part p<strong>in</strong>po<strong>in</strong>ts out <strong>in</strong>troduction, background<br />

<strong>of</strong> the study, statement <strong>of</strong> the problem, objectives <strong>of</strong> the study, research question, scope <strong>of</strong> the<br />

study f<strong>in</strong>d<strong>in</strong>g <strong>of</strong> the study, limitation <strong>of</strong> the study, significance <strong>of</strong> the study organization <strong>of</strong> the<br />

study and organization <strong>of</strong> thesis. <strong>The</strong> second chapter is about the literature review pert<strong>in</strong>ent to<br />

the research topic, conta<strong>in</strong>s conceptual and theoretical issues. <strong>The</strong> third chapter research<br />

methodology and data collection tools and procedures. <strong>The</strong> fourth is about Results and<br />

Discussion. <strong>The</strong> fifth chapter is research conclusions and recommendation.<br />

7


CHAPTER TWO<br />

2. 1 REVIEW OF LITERATURE<br />

2.1.1 Concept def<strong>in</strong>ition <strong>of</strong> <strong>Market</strong> accesses <strong>in</strong> pastoral community livestock production<br />

A pastoral society is a social group <strong>of</strong> pastoralists, whose way <strong>of</strong> life is based on pastoralism,<br />

and is typically nomadic. Daily life is centered upon the tend<strong>in</strong>g <strong>of</strong> herds or flocks and lives<br />

mostly <strong>in</strong> dry, remote areas. <strong>The</strong>ir livelihoods depend on their <strong>in</strong>timate knowledge <strong>of</strong> the<br />

surround<strong>in</strong>g ecosystem and on the well-be<strong>in</strong>g <strong>of</strong> their livestock. <strong>Pastoral</strong> systems take many<br />

forms and are adapted to particular natural, political and economic environments (S<strong>in</strong>tayehu<br />

GebreMariam 2010). <strong>Pastoral</strong>ists <strong>in</strong>habit <strong>zone</strong>s where the potential for crop cultivation is limited<br />

due to low and highly variable ra<strong>in</strong>fall conditions, steep terra<strong>in</strong> or extreme temperatures. With<strong>in</strong><br />

this unpredictable, vulnerable and dynamic environment, they have developed successful<br />

mechanisms <strong>of</strong> adaptation to ma<strong>in</strong>ta<strong>in</strong> an ecological balance between themselves and the natural<br />

environment (IFAD, 2009).<br />

<strong>Pastoral</strong>ism is the branch <strong>of</strong> agriculture concerned with the rais<strong>in</strong>g <strong>of</strong> livestock. It is animal<br />

husbandry: the care, tend<strong>in</strong>g and use <strong>of</strong> animals such as camels, goats, cattle, yaks, llamas, and<br />

sheep <strong>Pastoral</strong>ists <strong>of</strong>ten use their herds to affect their environment. <strong>Livestock</strong> are domesticated<br />

animals raised <strong>in</strong> an agricultural sett<strong>in</strong>g to produce commodities such as food, fiber, and labor.<br />

<strong>The</strong> term is <strong>of</strong>ten used to refer solely to those raised for food, and sometimes only farmed<br />

rum<strong>in</strong>ants. Today there are nearly 200 million pastoralists <strong>in</strong> the world generat<strong>in</strong>g <strong>in</strong>come where<br />

conventional farm<strong>in</strong>g is limited or not possible (IFAD, 2009). However, pastoral communities<br />

are marg<strong>in</strong>alized and generally not given due consideration <strong>in</strong> wider socio-political analysis.<br />

Although the livelihoods <strong>of</strong> these communities are vulnerable to climate change, shift<strong>in</strong>g global<br />

markets, population growth and <strong>in</strong>creased competition for land and other natural resources,<br />

pastoralism rema<strong>in</strong>s a viable natural resource management system, and understat<strong>in</strong>g its rationale,<br />

importance and dynamics is a key element <strong>in</strong> efforts to reduce poverty (IFAD, 2009).<br />

<strong>Market</strong> access is the process to ensure that all appropriate patients who would benefit get rapid<br />

and ma<strong>in</strong>ta<strong>in</strong>ed access to the brand, at the right price. <strong>Market</strong> access for goods means the<br />

conditions, tariff and Non-tariff measures (NTMs), set by countries for the entry <strong>of</strong> specific<br />

goods <strong>in</strong>to their markets, In the WTO, tariff commitments for goods are agreed upon and set out<br />

<strong>in</strong> each member’s schedules <strong>of</strong> concessions on goods (S<strong>in</strong>tayehu GebreMariam 2010).<br />

8


2.1.2 History and orig<strong>in</strong>s <strong>of</strong> pastoralism<br />

<strong>Pastoral</strong> systems take many forms and are adapted to particular natural, political and<br />

economic environments. <strong>The</strong> types <strong>of</strong> livestock kept by pastoralists vary accord<strong>in</strong>g to climate,<br />

environment, water and other natural resources, and geographical area, and may <strong>in</strong>clude camels,<br />

goats, sheep, yaks, horses, llamas, alpacas, re<strong>in</strong>deer and vicunas (www.ifad.org/lrkm/<strong>in</strong>dex.htm).<br />

Although this monograph is pr<strong>in</strong>cipally an account <strong>of</strong> the present situation <strong>of</strong> pastoralists, it<br />

makes reference to the historical literature. <strong>The</strong> naivety <strong>of</strong> much development literature<br />

concern<strong>in</strong>g even the recent past is a source <strong>of</strong> frequent errors about the present. One common<br />

mistake is to suppose that a crisis <strong>in</strong> the present signals the f<strong>in</strong>al demise <strong>of</strong> pastoralism. However,<br />

history shows that pastoralists and settled cultures establish dynamic relationships and that, while<br />

pastoralism has a certa<strong>in</strong> ethnic component, it is above all a way <strong>of</strong> life appropriate to particular<br />

economic and ecological circumstances. Most pastoralists move between seasonal graz<strong>in</strong>g areas,<br />

tak<strong>in</strong>g strategic advantage <strong>of</strong> different forage and water sources as they become available. Very<br />

few pastoralists are the wander<strong>in</strong>g nomads they have been portrayed to be (<strong>The</strong> UN OCHA<br />

<strong>Pastoral</strong>ist Communication Initiative 2007). Report, http://hdr.undp.org/hd/<br />

<strong>The</strong> orig<strong>in</strong> <strong>of</strong> pastoralism has been much discussed, especially <strong>in</strong> an older type <strong>of</strong> literature<br />

that is <strong>in</strong>fluenced, unconsciously perhaps, by Marxist historical schemas. <strong>Pastoral</strong>ism was seen<br />

as an evolutionary stage <strong>in</strong> human history, a phase follow<strong>in</strong>g hunt<strong>in</strong>g-gather<strong>in</strong>g and lead<strong>in</strong>g to<br />

centralization and agriculture. This may have seemed reasonable, both because <strong>of</strong> a lack <strong>of</strong><br />

archaeological evidence and because it unconsciously reflected the contempt <strong>in</strong> which settled<br />

people historically held nomads. It may also be <strong>in</strong>fluenced by the myth <strong>of</strong> Ca<strong>in</strong> and Abel, which<br />

places the burden <strong>of</strong> orig<strong>in</strong>al s<strong>in</strong> unambiguously on the livestock producer. However, the<br />

<strong>in</strong>crease <strong>of</strong> archaeological data and a more careful read<strong>in</strong>g <strong>of</strong> the historical sources, especially<br />

from Asia, have demonstrated a more complex story (see Cribb, 1991 for a review <strong>of</strong> modern<br />

theoretical developments). In most parts <strong>of</strong> the world, Africa excepted, agriculture seems to have<br />

started earlier than pastoralism. <strong>Pastoral</strong>ism develops from surplus, as <strong>in</strong>dividuals simply<br />

accumulate too many animals to graze around a settlement throughout the year. In addition, as<br />

herders learned more about the relations between particular types <strong>of</strong> ecology and the spread <strong>of</strong><br />

debilitat<strong>in</strong>g diseases they gradually developed the practice <strong>of</strong> seasonally remov<strong>in</strong>g their animals<br />

from danger <strong>zone</strong>s.<br />

9


2.1.3 <strong>Livestock</strong> <strong>Production</strong> System <strong>in</strong> Ethiopia<br />

Ethiopia is a largely rural country with an agrarian economy. Agriculture directly supports 85<br />

percent <strong>of</strong> the population’s livelihoods, provides 46 percent <strong>of</strong> Gross Domestic Product (GDP),<br />

and 80 percent <strong>of</strong> export revenue (S<strong>in</strong>tayehu GebreMariam 2010). <strong>The</strong>re are two major livestock<br />

production systems with<strong>in</strong> Ethiopia: the highland crop-livestock system, and the lowland pastoral<br />

systems. It is notable that there are variations with<strong>in</strong> each system, and elements <strong>of</strong> both systems<br />

at many locations. However, the segmentation between the two production systems is crucial <strong>in</strong><br />

<strong>in</strong>form<strong>in</strong>g the f<strong>in</strong>d<strong>in</strong>gs and recommendations <strong>of</strong> this report (S<strong>in</strong>tayehu GebreMariam 2010).<br />

Ethiopia has the largest livestock population and the highest draft animal population <strong>in</strong> the<br />

cont<strong>in</strong>ent the country has 40 million cattle, 25.5 million sheep, 23.4 million goats and 2.3 million<br />

camels, accord<strong>in</strong>g to a sample census carried out by the Central Statistics Authority <strong>of</strong> Ethiopia<br />

between 2001 and 2003(Embassy <strong>of</strong> Ethiopia Economy 2008).<br />

2.1.3.1 Agro-pastoral (highland) system<br />

Agro pastoralists can be described as settled pastoralists who cultivate sufficient areas to feed<br />

their families from their own crop production. Agro pastoralists hold land rights and use their<br />

own or hired labor to cultivate land and grow staples. While livestock is still valued property,<br />

agro pastoralists’ herds are usually smaller than those found <strong>in</strong> other pastoral systems, possibly<br />

because they no longer rely solely on livestock and depend on a f<strong>in</strong>ite graz<strong>in</strong>g area which can be<br />

reached from their villages with<strong>in</strong> a day. Agro pastoralists <strong>in</strong>vest more <strong>in</strong> hous<strong>in</strong>g and other local<br />

<strong>in</strong>frastructure and, if their herds become large, they <strong>of</strong>ten send them away with more nomadic<br />

pastoralists. Agro pastoralism is <strong>of</strong>ten also the key to <strong>in</strong>teraction between the sedentary and the<br />

mobile communities. Shar<strong>in</strong>g the same ethno l<strong>in</strong>guistic identity with the pastoralists, agro<br />

pastoralists <strong>of</strong>ten act as brokers <strong>in</strong> establish<strong>in</strong>g cattle tracks, negotiat<strong>in</strong>g the “camp<strong>in</strong>g” <strong>of</strong> herds<br />

on farms (when crop residues can be exchanged for valuable manure) and arrang<strong>in</strong>g for the<br />

rear<strong>in</strong>g <strong>of</strong> work animals, all <strong>of</strong> which add value to overall agricultural production. Meat<br />

production is secondary, and thought to <strong>in</strong>volve ma<strong>in</strong>ly old and unproductive animals such as<br />

retired draught oxen. Dim<strong>in</strong>ish<strong>in</strong>g pasturelands <strong>in</strong> highland systems, as a result <strong>of</strong> expand<strong>in</strong>g<br />

croplands, and the heavy reliance <strong>of</strong> livestock on crop residue and aftermath graz<strong>in</strong>g is an<br />

important trend. Average distance to market <strong>in</strong> the highland system is about 30 kilometers (FAO)<br />

10


"With a rural population <strong>of</strong> about 55 million, the highlands account for possibly 80 percent <strong>of</strong><br />

cattle (about 40 million heads) <strong>in</strong> small herds (averag<strong>in</strong>g 2-4 cattle and about 4 sheep and/or<br />

goats). Cattle are used primarily for draught power (oxen are 40-50 percent <strong>of</strong> the herd) and<br />

dairy (dairy cows are 25 percent <strong>of</strong> the herd). Meat production is secondary, and thought to<br />

<strong>in</strong>volve ma<strong>in</strong>ly old and unproductive animals such as retired draught oxen. Dim<strong>in</strong>ish<strong>in</strong>g<br />

pasturelands <strong>in</strong> highland systems, as a result <strong>of</strong> expand<strong>in</strong>g croplands, and the heavy reliance <strong>of</strong><br />

livestock on crop residue and aftermath graz<strong>in</strong>g is an important trend. Average distance to<br />

market <strong>in</strong> the highland system is about 30 kilometers" (S<strong>in</strong>tayehu GebreMariam 2010).<br />

2.1.3.2 <strong>Pastoral</strong> (lowland) livestock system<br />

This is thought to account for about 20 percent <strong>of</strong> Ethiopian cattle. <strong>The</strong> population <strong>of</strong> 10<br />

million pastoralists’ spans largely nomadic communities and largely sedentary agro-pastoralists:<br />

but nearly all own cattle <strong>in</strong> herds typically <strong>of</strong> 10-15 cattle and about 7 sheep and/or goats. Cattle<br />

are used primarily for dairy for household consumption, with the result that the majority <strong>of</strong> the<br />

herd is female. <strong>The</strong> pastoral regions are densely populated by <strong>in</strong>ternational pastoral standards3,<br />

although livestock density is lower than <strong>in</strong> comparable countries (33, 8 and 7 tropical livestock<br />

units per square kilometer <strong>in</strong> the three ma<strong>in</strong> Ethiopian regions, compared to 46, 11, and 18 <strong>in</strong><br />

South Kenya, North Kenya and Botswana respectively). Average distance to market is about 90<br />

kilometers. <strong>The</strong> key <strong>in</strong>teraction between the systems is the sale <strong>of</strong> male calves from the lowlands<br />

to the highlands for draught power and eventually, for fatten<strong>in</strong>g (S<strong>in</strong>tayehu GebreMariam 2010).<br />

2.2. Future Potential <strong>of</strong> Ethiopian livestock<br />

It is the view <strong>of</strong> this study that livestock have considerable potential to contribute to Ethiopia’s<br />

agricultural growth. Low levels <strong>of</strong> herd productivity and livestock commercialization create<br />

significant potential to <strong>in</strong>crease the sector’s contribution to producer <strong>in</strong>comes. This would be<br />

based on improved productivity and enhanced market<strong>in</strong>g efficiency, and changed producer<br />

behavior <strong>in</strong> favor <strong>of</strong> greater <strong>of</strong>f-take (www.ifad.org/lrkm/<strong>in</strong>dex.htm). <strong>The</strong>se benefits would be<br />

magnified by spillovers <strong>in</strong>to the related sheep, goat and camel sub-sectors, although the focus <strong>of</strong><br />

this report is on cattle. <strong>Livestock</strong> market<strong>in</strong>g two prom<strong>in</strong>ent issues stand out as constra<strong>in</strong>ts to<br />

11


market<strong>in</strong>g policy: - multiple taxation <strong>of</strong> traded livestock en route to dest<strong>in</strong>ations and restriction<br />

<strong>of</strong> the sale <strong>of</strong> livestock across neighbour<strong>in</strong>g borders. <strong>The</strong> latter practice arises from market<br />

proximity, favourable prices, or lack <strong>of</strong> alternative market options. Other constra<strong>in</strong>ts <strong>in</strong>clude lack<br />

<strong>of</strong> credit for livestock traders and poor <strong>in</strong>frastructure (roads and communications) and associated<br />

logistical problems to safely transport livestock to <strong>in</strong>terim or f<strong>in</strong>al dest<strong>in</strong>ations. Enabl<strong>in</strong>g policies<br />

could rectify such problems through the follow<strong>in</strong>g measures (Zekarias Bassa and Teshale<br />

Woldeamanuel 2015). Regionally Ratify a regional agreement among neighbour<strong>in</strong>g countries<br />

with the necessary provisions to let pastoralists sell livestock across the border without<br />

restrictions; COMESA or IGAD could be the appropriate <strong>in</strong>stitutional mechanism for achiev<strong>in</strong>g<br />

this agreement, Ratify a regional agreement that specifies the SPS requirements for cross-border<br />

livestock trade (www.ifad.org/lrkm/<strong>in</strong>dex.htm). Nationally Put <strong>in</strong> place a nationally b<strong>in</strong>d<strong>in</strong>g<br />

system <strong>in</strong> which traded livestock are taxed once at the po<strong>in</strong>t <strong>of</strong> orig<strong>in</strong>, to avoid unnecessary<br />

multiple taxation and <strong>in</strong>crease <strong>in</strong>come for pastoralists; traders take future taxation <strong>in</strong>to account<br />

when <strong>of</strong>fer<strong>in</strong>g low prices to herders, Allow pastoralists to sell livestock across <strong>in</strong>ternational<br />

borders near them to meet their basic needs <strong>in</strong> cases where alternative <strong>in</strong>ternal markets are nonexistent<br />

or unattractive (Kentucky Agriculture 2007-2014). <strong>The</strong> solution is to provide alternative<br />

attractive markets rather than restrict sell<strong>in</strong>g options for producers. Provide credit services to<br />

livestock traders to enable them to pay pastoralists <strong>in</strong> cash rather than on credit, which results <strong>in</strong><br />

deferred payments or none at all. Set up cattle slaughter<strong>in</strong>g and process<strong>in</strong>g provisions <strong>in</strong> strategic<br />

locations with appropriate debon<strong>in</strong>g and adequate freez<strong>in</strong>g capacities; provide suitable<br />

refrigerated conta<strong>in</strong>er carrier trucks to transport frozen beef from abattoirs to ports. Obviously,<br />

such provisions would require substantial <strong>in</strong>vestments for <strong>in</strong>dividual exporters. <strong>The</strong> alternative is<br />

for member states to provide these provisions on lease or through service fees to <strong>in</strong>dividual<br />

exporters or exporter associations (Aklilu, Y., Little, P.D., Mahmoud, H., and McPeak, J. 2013s)<br />

Promote adequate refrigerated dock<strong>in</strong>g facilities <strong>in</strong> key regional livestock trade ports (Berbera,<br />

Bosasso, Djibouti, Mombasa and Port Sudan) to ma<strong>in</strong>ta<strong>in</strong> the cold cha<strong>in</strong> with<strong>in</strong> the<br />

recommended optimum temperature until shipments are loaded onto vessels. Locally ensure that<br />

livestock taxed at the orig<strong>in</strong>al po<strong>in</strong>t <strong>of</strong> sale are not taxed aga<strong>in</strong> at subsequent stages. Allow<br />

pastoralists to sell at cross-border markets without restriction (www.ifad.org/lrkm/<strong>in</strong>dex.htm).<br />

12


2.3. Value cha<strong>in</strong> livestock <strong>Production</strong><br />

<strong>The</strong> value cha<strong>in</strong> analysis focused on understand<strong>in</strong>g opportunities and bottlenecks <strong>in</strong> the live<br />

cattle and beef value cha<strong>in</strong>. Despite substantial meat demand, the livestock system currently<br />

struggles to supply quality cattle and generate <strong>in</strong>come from beef market<strong>in</strong>g (S<strong>in</strong>tayehu<br />

GebreMariam 2010). <strong>Production</strong> is highly fragmented and geographically dispersed, and there<br />

are no large commercial operations. Meat production per head <strong>of</strong> livestock <strong>in</strong> Ethiopia is low by<br />

standards <strong>of</strong> other significant livestock-produc<strong>in</strong>g African countries: just 8.5 kg per head <strong>of</strong> cattle<br />

per year, significantly lower than <strong>in</strong> Kenya and Senegal (21 and 16 kg respectively). Off-take4<strong>in</strong><br />

Ethiopia is low compared with that <strong>in</strong> other East African countries, suggest<strong>in</strong>g that many<br />

livestock holders prefer to keep their live cattle for domestic use rather than sell them. It is<br />

commonly claimed that <strong>in</strong>consistent supply <strong>of</strong> quality animals is a major constra<strong>in</strong>t to<br />

commercialization, and this was repeatedly confirmed <strong>in</strong> the rapid appraisal (S<strong>in</strong>tayehu<br />

GebreMariam 2010).<br />

2.4. Social Importance <strong>of</strong> <strong>Livestock</strong> to <strong>Pastoral</strong>ists and Lack <strong>of</strong> Alternative Assets<br />

<strong>Pastoral</strong>ists are widely perceived to be “subsistence-oriented” rather than “market-oriented”.<br />

Some pastoralists are <strong>in</strong>deed reluctant to sell livestock (and particularly cattle) beyond that<br />

required to meet their immediate cash needs. In addition to widely cited social reasons (e.g. sign<br />

<strong>of</strong> status), there is a sound economic rationale for a pastoralist to build his or her herd, Lack <strong>of</strong><br />

attractive alternative assets <strong>in</strong> which to <strong>in</strong>vest; - Sav<strong>in</strong>gs accounts, which are seldom available,<br />

are seen as risky, and where they exist, sav<strong>in</strong>gs fees erode an already low rate <strong>of</strong> return (CSA<br />

(2008/09). <strong>The</strong> f<strong>in</strong>ancial rationality <strong>of</strong> accumulat<strong>in</strong>g livestock <strong>in</strong> such a context has been<br />

observed by researchers. Moreover, excess cash is <strong>of</strong>ten more vulnerable to requests from<br />

relatives than is livestock, <strong>The</strong> importance <strong>of</strong> herd size to surviv<strong>in</strong>g and recover<strong>in</strong>g from<br />

recurrent drought – many livestock producers typically have few animals for sale – small herd<br />

size <strong>of</strong>ten makes producers reluctant to sell. Producers with large land areas are also <strong>in</strong>cl<strong>in</strong>ed<br />

reta<strong>in</strong> animals to ensure sufficient draught power, Limited access to f<strong>in</strong>ancial and credit access:<br />

<strong>Access</strong> to f<strong>in</strong>ancial and credit services are limited <strong>in</strong> the area and even the exist<strong>in</strong>g services are<br />

<strong>of</strong>ten not appropriate to the pastoralist contexts (<strong>The</strong> UN OCHA <strong>Pastoral</strong>ist Communication<br />

Initiative 2007). Conflict over the use <strong>of</strong> natural resources: Recurr<strong>in</strong>g conflicts between ethnic<br />

13


groups over the use <strong>of</strong> rangelands has been common phenomenon <strong>in</strong> most pastoral areas <strong>of</strong> the<br />

country. Under the programme, efforts will be made to m<strong>in</strong>imize conflicts with the <strong>in</strong>vestments<br />

<strong>in</strong> water and rangelands sub-components with special distribution <strong>of</strong> facilities that will address<br />

neighbour<strong>in</strong>g communities <strong>in</strong> equitable manner (S<strong>in</strong>tayehu GebreMariam 2010).<br />

2.5 Lack <strong>of</strong> Transparency on Quality Health and Weight<br />

<strong>The</strong> rapid appraisal reports a lack <strong>of</strong> transmission with<strong>in</strong> the market<strong>in</strong>g system <strong>of</strong> key<br />

<strong>in</strong>formation regard<strong>in</strong>g attributes such as quality, health, and weight. Actors along the value cha<strong>in</strong><br />

were asked “what buyers want”. Results <strong>in</strong>dicate a lack <strong>of</strong> consensus along the value cha<strong>in</strong> –<br />

producers and cooperatives emphasized breed and color, brokers and traders emphasized size.<br />

Feedlots and butchers were more concerned about condition and health, and none <strong>of</strong> the actors<br />

listed weight <strong>in</strong> their three most preferred attributes. <strong>The</strong>se disparate expectations have<br />

implications for alignment toward market forces (Zekarias Bassa and Teshale Woldeamanuel<br />

2015). Commercial aggregation currently fragmented producers lack barga<strong>in</strong><strong>in</strong>g power, and cooperatives<br />

fail to exercise market<strong>in</strong>g advantages. Potential models <strong>in</strong>clude public share<br />

companies (e.g. Borena public share company for livestock market<strong>in</strong>g), or enhanced cooperatives<br />

focused on livestock market<strong>in</strong>g Alternative wealth accumulation smallholders, and<br />

particularly pastoralists, require alternative sav<strong>in</strong>gs facilities (S<strong>in</strong>tayehu GebreMariam 2010).<br />

2.6 Address Specific Consists That Cut across Sectors That H<strong>in</strong>der <strong>Livestock</strong> Development<br />

<strong>Access</strong> to capital entry <strong>of</strong> private capital providers should be facilitated by local and national<br />

governments (Getachew Legese, Hailemariam Teklewold, Dawit Alemu and Asfaw<br />

Negassa.2008). In addition, encouragement should be given to providers <strong>of</strong> f<strong>in</strong>ancial <strong>in</strong>struments<br />

and products enabl<strong>in</strong>g accelerated and improved payment systems for smallholder livestock<br />

producers, traders that buy from them, and providers <strong>of</strong> services to them <strong>in</strong> seasons when<br />

payment is not enabled by sales. Transportation actions to <strong>in</strong>clude roads and other <strong>in</strong>frastructure<br />

are welcome, but more immediate steps might be taken <strong>in</strong> tariff reduction on equipment and<br />

vehicles. Land use holistic land use plann<strong>in</strong>g led by the regional government is also critical to<br />

14


protect the rights <strong>of</strong> pastoralists, and ensure that economic, social and environmental concerns<br />

are taken <strong>in</strong>to account <strong>in</strong> land use decisions (S<strong>in</strong>tayehu GebreMariam 2010).<br />

Infrastructures for water resources access developed / rehabilitated Water development<br />

<strong>in</strong>frastructures should be developed and rehabilitated strategically along Tran’s boundary animal<br />

movement routes. Hence, the project will support the preparation <strong>of</strong> maps identify<strong>in</strong>g these<br />

routes (Zekarias Bassa and Teshale Woldeamanuel 2001). To the extent possible, this mapp<strong>in</strong>g<br />

will build on the f<strong>in</strong>d<strong>in</strong>gs <strong>of</strong> exist<strong>in</strong>g studies. <strong>The</strong>se maps, together with the water resource maps<br />

developed under will be both used as <strong>in</strong>puts to construct the most appropriate water<br />

<strong>in</strong>frastructures (more particularly ponds with capacity above 10,000 cubic meters) <strong>in</strong> strategic<br />

po<strong>in</strong>ts. <strong>The</strong> selection <strong>of</strong> appropriate water <strong>in</strong>frastructure will also depend on the topography,<br />

ra<strong>in</strong>fall, surface cover, sub-surface properties, livestock and human population. Cross-border<br />

meet<strong>in</strong>gs, facilitated by IGAD and attended by border <strong>of</strong>ficials (from Ethiopia and other<br />

countries) and key water resources development actors, will be organized at local level to create<br />

consensus on cross-border water resources <strong>in</strong>frastructure plann<strong>in</strong>g. Besides, best practices on<br />

water <strong>in</strong>frastructures and susta<strong>in</strong>able management will be documented and scaled-up through<br />

workshops and tra<strong>in</strong><strong>in</strong>gs. Small-scale irrigation scheme study and design, and construction and<br />

irrigation management guidel<strong>in</strong>es along trans-boundary water body will be developed at regional<br />

level (S<strong>in</strong>tayehu GebreMariam 2010).<br />

<strong>Access</strong> to Natural Resources <strong>in</strong> the ASALs and Border Countries secured ASAL communities<br />

move with their livestock <strong>in</strong> search <strong>of</strong> feed and water which results <strong>in</strong> resource competition and<br />

depletion (Aklilu, Y., Little, P.D., Mahmoud, H., and McPeak, J. 2013s). <strong>The</strong>se consequently<br />

lead to conflict. <strong>The</strong> outcome <strong>of</strong> this sub-component is to reduce conflicts related to access to<br />

natural resources. To achieve the outcome, two outputs have been set; conflict prevention,<br />

management and resolution strategies and approaches dissem<strong>in</strong>ated, and policy and legal<br />

frameworks for secured access to natural resource supported. To achieve these outputs, the<br />

project will implement the follow<strong>in</strong>g activities:<br />

15


2.7. <strong>Market</strong> <strong>Access</strong> and Trade<br />

<strong>The</strong> population <strong>of</strong> Ethiopia is set to double over the next 20 years, with correspond<strong>in</strong>g growth<br />

expected for animal prote<strong>in</strong> demand. Demand for livestock products, aris<strong>in</strong>g from the grow<strong>in</strong>g<br />

urban centers <strong>of</strong> the Horn and vibrant markets <strong>of</strong> the neighbor<strong>in</strong>g Gulf Countries, is <strong>in</strong>creas<strong>in</strong>g<br />

opportunities for <strong>in</strong>ternational and sub-regional trade. Hence, to support a more competitive<br />

livestock sub-sector, this component will focus on the provision <strong>of</strong> demand-driven <strong>in</strong>frastructure<br />

<strong>in</strong>vestment packages to improve national systems for livestock market<strong>in</strong>g and trade<br />

(Mendelsohn, 2006). RPLRP <strong>in</strong>vestments will be identified through mapp<strong>in</strong>g exercises,<br />

<strong>in</strong>frastructure gap analysis and participatory consultations through discussions with regional<br />

stakeholders and local communities. <strong>Livestock</strong> markets are generally under the control <strong>of</strong> local<br />

authorities. <strong>Livestock</strong> market locations <strong>in</strong> primary and secondary markets are typically not<br />

fenced; there are no permanent animal routes and no feed and water<strong>in</strong>g <strong>in</strong>frastructures. Yet<br />

buyers and sellers are subjected to various service charges by the local authority as well as other<br />

bodies (International <strong>Livestock</strong> Research Institute2003). <strong>Market</strong> flows will also be enhanced<br />

through the harmonization <strong>of</strong> regional trade policies, regional animal disease surveillance,<br />

laboratory diagnostic capabilities and disease <strong>in</strong>formation networks. Remote locations with poor<br />

road conditions result <strong>in</strong> high costs <strong>of</strong> mov<strong>in</strong>g livestock to markets and h<strong>in</strong>der market<strong>in</strong>g<br />

efficiency (Mendelsohn, 2006). Moreover, the shortcom<strong>in</strong>gs <strong>of</strong> <strong>in</strong>frastructure seriously impede<br />

the physical flow <strong>of</strong> livestock to the market (Mendelsohn, 2006).<br />

2.7.1 <strong>Access</strong> to market <strong>in</strong>formation<br />

Without proper market <strong>in</strong>formation, pastoralists cannot hope to become successful<br />

entrepreneurs. This function should be fulfilled by extension services, the agricultural press and<br />

bear<strong>in</strong>g <strong>in</strong> m<strong>in</strong>d the remoteness <strong>of</strong> many areas as well as low prevail<strong>in</strong>g levels <strong>of</strong> literacy, by<br />

private agencies <strong>in</strong>volved <strong>in</strong> the meat trade (Getachew Legese, Hailemariam Teklewold, Dawit<br />

Alemu and Asfaw Negassa 2008).<br />

<strong>Pastoral</strong>ists must have access to <strong>in</strong>formation about market, new technologies before they can<br />

consider adopt<strong>in</strong>g them. S<strong>in</strong>ce livestock market is important means for pastoralists to ga<strong>in</strong><br />

<strong>in</strong>formation on new technologies, access to extension is <strong>of</strong>ten used as a measure <strong>of</strong> access to<br />

<strong>in</strong>formation. Daniel (2002) expla<strong>in</strong>s how communities <strong>in</strong>terrelated and the way community<br />

action take place as follows: <strong>Community</strong> energy seldom mobilizes by itself. Communities need<br />

16


help from <strong>of</strong>ficials, who can adjust policies and regulations, facilitate cooperation among faction,<br />

and channel essential resources. <strong>The</strong> major <strong>in</strong>strument public agencies use to dissem<strong>in</strong>ate<br />

knowledge and <strong>in</strong>formation to <strong>Pastoral</strong>ists is agricultural extension. In this regard, it is believed<br />

that can <strong>in</strong>crease livestock productivity and pastoral <strong>in</strong>come by bridg<strong>in</strong>g the gap between new<br />

technological knowledge and the pastoralists own practice. An effective extension system elicits<br />

<strong>in</strong>formation about the pastoralists needs and concerns them to market accesses Accord<strong>in</strong>g to<br />

FAO (2002), rural community needs a wide variety <strong>of</strong> other <strong>in</strong>formation such as availability <strong>of</strong><br />

agricultural support services, government regulations, crop plant<strong>in</strong>gs, disease outbreaks,<br />

adaptation <strong>of</strong> technologies by other farmers, wages rates, and so on. <strong>The</strong> content <strong>of</strong> the<br />

<strong>in</strong>formation services needs to reflect their diverse circumstances and livelihoods.<br />

<strong>The</strong> usefulness <strong>of</strong> extension and related <strong>in</strong>formation services rests on both the farmer’s access<br />

to the source <strong>of</strong> the <strong>in</strong>formation and its quality and appropriateness. <strong>Access</strong> to appropriate<br />

<strong>in</strong>formation may have a significant impact on livestock productivity (Doss, 1999). <strong>Access</strong> to<br />

livestock identification facilities it has been reported that <strong>in</strong> at least the Eastern Cape Prov<strong>in</strong>ce<br />

there are activities under Way aimed to accelerate the identification process. This should<br />

obviously be done <strong>in</strong> all the <strong>Livestock</strong> areas <strong>in</strong> every prov<strong>in</strong>ce. <strong>The</strong> ma<strong>in</strong> aims must be<br />

accessibility and cost reduction for small pastoralists. Cooperatives can potentially play an<br />

important role <strong>in</strong> this respect.<br />

2.7.2 <strong>Market</strong><strong>in</strong>g <strong>of</strong> livestock and livestock products<br />

<strong>The</strong> sale <strong>of</strong> livestock and livestock products is the ma<strong>in</strong> source <strong>of</strong> cash <strong>in</strong>come. Small<br />

rum<strong>in</strong>ants (sheep and goats) are used as immediate sources <strong>of</strong> cash <strong>in</strong>come. However, cattle and<br />

camels are sold when there is a need for a higher amount <strong>of</strong> cash<br />

(www.ifad.org/lrkm/<strong>in</strong>dex.htm). Camels fetch a higher price than any other animals. <strong>The</strong> price<br />

<strong>of</strong> animals is <strong>in</strong>fluenced by the size and condition <strong>of</strong> the animals, the season <strong>of</strong> the year and the<br />

distance from the ma<strong>in</strong> market<strong>in</strong>g centers. <strong>The</strong>re is seasonal fluctuation <strong>in</strong> the price <strong>of</strong> animals<br />

com<strong>in</strong>g to the market. In general, animal prices are higher dur<strong>in</strong>g the ra<strong>in</strong>y season and falls<br />

dur<strong>in</strong>g the dry season. Dur<strong>in</strong>g the dry season animals lose body condition due to shortage <strong>of</strong> feed<br />

and the pastoralists also desperately need to sell their animals before further loss <strong>of</strong> condition and<br />

death and to buy gra<strong>in</strong> for family consumption. <strong>The</strong>se are the ma<strong>in</strong> reasons for the significant<br />

decl<strong>in</strong>e <strong>of</strong> the price <strong>of</strong> animals dur<strong>in</strong>g the dry season (Getachew Legese, Hailemariam<br />

17


Teklewold, Dawit Alemu and Asfaw Negassa.2008). Animal products are marketed <strong>in</strong> towns<br />

and market places. Donkeys and light trucks (ISUZUs) are used for transport<strong>in</strong>g milk from the<br />

local markets to the nearby towns, ma<strong>in</strong>ly to Moyle town. <strong>The</strong> price <strong>of</strong> animal products is<br />

dictated by the season <strong>of</strong> the year and the distance from the ma<strong>in</strong> towns. <strong>The</strong> price <strong>of</strong> milk and<br />

milk products is generally higher dur<strong>in</strong>g the dry season due ma<strong>in</strong>ly to limited supply <strong>of</strong> the<br />

products than dur<strong>in</strong>g the wet season. <strong>The</strong> price is also higher <strong>in</strong> places that are closer to towns as<br />

there is a higher demand for milk <strong>in</strong> the towns than <strong>in</strong> the rural areas<br />

2.7.3 <strong>Livestock</strong> production constra<strong>in</strong>ts<br />

Lack <strong>of</strong> feed and water dur<strong>in</strong>g the dry season and drought is the ma<strong>in</strong> constra<strong>in</strong>t affect<strong>in</strong>g<br />

livestock production <strong>in</strong> the area. Shortage <strong>of</strong> ra<strong>in</strong> and the frequently recurr<strong>in</strong>g drought <strong>in</strong> the area<br />

is a major cause for reduced forage production and quality. Shortage <strong>of</strong> feed and water and the<br />

harsh climatic condition <strong>of</strong> the area seriously affect the health and productivity <strong>of</strong> animals. Bush<br />

encroachment is exacerbat<strong>in</strong>g the problem <strong>of</strong> feed shortage. Expansion <strong>of</strong> cropp<strong>in</strong>g and land<br />

grabb<strong>in</strong>g for cultivation and private enclosure are caus<strong>in</strong>g shr<strong>in</strong>kage <strong>of</strong> graz<strong>in</strong>g areas and loss <strong>of</strong><br />

key resources for dry season and drought period graz<strong>in</strong>g. Demarcation <strong>of</strong> regional boundaries<br />

and ethnic conflicts also h<strong>in</strong>der movement <strong>of</strong> the pastoralists <strong>in</strong> search feed and water thereby<br />

hamper<strong>in</strong>g the <strong>in</strong>digenous cop<strong>in</strong>g mechanisms.<br />

2.7.4 Sell<strong>in</strong>g <strong>Pastoral</strong> Products<br />

<strong>Pastoral</strong>ists’ orientation towards the market has been extremely variable across the world,<br />

accord<strong>in</strong>g to accessibility and ecology. <strong>Pastoral</strong>ists have always had to exchange some products<br />

with outsiders <strong>in</strong> order to acquire basic foodstuffs and m<strong>in</strong>or household goods (Getachew<br />

Legese, Hailemariam Teklewold, Dawit Alemu and Asfaw Negassa.2008). Extreme-weather<br />

pastoralists have generally reduced this to a m<strong>in</strong>imum because <strong>of</strong> the difficulties <strong>of</strong> such trade.<br />

However, pastoralists seem to have co-evolved with highly sophisticated long-distance trade<br />

networks, and make use <strong>of</strong> these networks to pass <strong>in</strong>formation about both market conditions and<br />

forage resources (Blench, 1996). Until recently, many pastoralists functioned essentially without<br />

cash, exchang<strong>in</strong>g livestock products directly for external goods. In the command economies,<br />

18


prices were completely arbitrary, fixed at the center without regard to availability or access costs,<br />

and thus the <strong>in</strong>verse <strong>of</strong> a market system. In the sheep herd<strong>in</strong>g systems <strong>of</strong> Central Asia, the former<br />

Soviet Union’s demand for wool caused hardy breeds to be replaced by Mer<strong>in</strong>o varieties, which<br />

could be kept alive only with high levels <strong>of</strong> external <strong>in</strong>puts (see Van Veen, 1995 for Kyrgyzstan).<br />

As monetized systems and commoditization have penetrated the region, this has caused major<br />

adaptation problems. <strong>The</strong> system is expected to revert to coarse wool and meat as more<br />

traditional breeds gradually replace the exotics. Monetary economy is that pastoralism is<br />

essentially a slow-response system; the reproductive cycle <strong>of</strong> livestock is not adapted to mak<strong>in</strong>g<br />

major changes <strong>in</strong> strategy over a short period. Thus, if the price <strong>of</strong> dairy products falls<br />

dramatically, a herd cannot suddenly be switched over to meat production<br />

(www.ifad.org/lrkm/<strong>in</strong>dex.htm). It is no accident that livestock producers <strong>in</strong> the developed world<br />

are usually enmeshed <strong>in</strong> complex webs <strong>of</strong> subsidies and price-support mechanisms; they would<br />

otherwise soon go out <strong>of</strong> bus<strong>in</strong>ess <strong>in</strong> a world <strong>of</strong> rapidly chang<strong>in</strong>g market conditions.<br />

2.7.5 <strong>Market</strong><strong>in</strong>g <strong>in</strong>frastructure<br />

It is well known that <strong>in</strong> South Africa – as <strong>in</strong> the rest <strong>of</strong> the cont<strong>in</strong>ent – rural roads are<br />

generally <strong>of</strong> poor quality and <strong>in</strong> poor condition. This has severely constra<strong>in</strong>ed local development,<br />

particularly <strong>of</strong> farm<strong>in</strong>g, <strong>in</strong>clud<strong>in</strong>g livestock production. This should be a much higher priority <strong>of</strong><br />

national, prov<strong>in</strong>cial and local government than has thus far been the case. Accord<strong>in</strong>g to Kgantsi<br />

and Mokoene (1997) lack <strong>of</strong> properly ma<strong>in</strong>ta<strong>in</strong>ed roads, telephones, fenc<strong>in</strong>g water and electricity<br />

make it very difficult for small farmers to run farm<strong>in</strong>g operations. BATAT (2004) has reported<br />

that <strong>in</strong> Gov't traders. This should be corrected. It is also important to see to it that livestock sales<br />

venues are properly accessible to all potential participants. This does also tie <strong>in</strong> with proper road<br />

l<strong>in</strong>ks as well as proper publicity to livestock market<strong>in</strong>g actions. Serious attention ought be given<br />

to the possibility <strong>of</strong> establish<strong>in</strong>g one-stop service center’s where farmers can sell their livestock,<br />

assess f<strong>in</strong>ancial services, obta<strong>in</strong> <strong>in</strong>puts such as livestock remedies, feed and supplements, sell<br />

hides and sk<strong>in</strong>s and attend tra<strong>in</strong><strong>in</strong>g courses. Montshwe (2006) recommended it to be at<br />

municipality level or ward <strong>in</strong> the case <strong>of</strong> deep rural areas.<br />

19


2.7.6 <strong>Market</strong> support <strong>in</strong>frastructure and <strong>in</strong>formation system<br />

<strong>The</strong> outcome <strong>of</strong> this sub-component is to enhance market <strong>in</strong>frastructures and market<br />

<strong>in</strong>formation systems at the national and regional levels. This outcome will be achieved through<br />

two outputs, namely: (i) livestock market<strong>in</strong>g <strong>in</strong>frastructure improved and, (ii) regional livestock<br />

market<strong>in</strong>g <strong>in</strong>formation system strengthened, which are both described here below.<br />

2.7.7 <strong>Livestock</strong> market<strong>in</strong>g <strong>in</strong>frastructure improved<br />

To support cross-border trade, <strong>in</strong>vestments will focus on the construction <strong>of</strong> primary and<br />

secondary markets, and on the rehabilitation and refurbishment <strong>of</strong> exist<strong>in</strong>g <strong>in</strong>frastructures, such<br />

as quarant<strong>in</strong>e laboratories. <strong>The</strong>se <strong>in</strong>frastructures will be positioned along cross-border livestock<br />

routes which will be identified through <strong>in</strong>itial project studies, cross-border consultations with the<br />

support <strong>of</strong> IGAD and community participation. Studies will comprise <strong>of</strong> (i) a mapp<strong>in</strong>g <strong>of</strong><br />

livestock routes movements, with a particular focus on cross-border market axes and (ii) an<br />

<strong>in</strong>frastructure gap analysis along these route (Aklilu, Y., Little, P.D., Mahmoud, H., and McPeak,<br />

J. 2013s). A feasibility study will also be conducted to establish on a pilot-basis auctions yard <strong>in</strong><br />

pastoral areas (more particularly <strong>in</strong> the cross-border area <strong>of</strong> Borena) and to develop a harmonized<br />

grad<strong>in</strong>g systems between the participat<strong>in</strong>g countries.<br />

2.7.8 Regional <strong>Livestock</strong> <strong>Market</strong><strong>in</strong>g Information System strengthened<br />

Limited access to market <strong>in</strong>formation (prices, sources, demands and objective standards for<br />

sell<strong>in</strong>g and buy<strong>in</strong>g animals) is a real constra<strong>in</strong>t for market<strong>in</strong>g livestock <strong>in</strong> the ASALs. Improv<strong>in</strong>g<br />

the <strong>in</strong>formation flows to local producers is essential to improve market access.<br />

IGAD will develop a regional market <strong>in</strong>formation system platform that will enable the region<br />

to share market<strong>in</strong>g <strong>in</strong>formation. At the national level, the project activities will <strong>in</strong>clude: (i)<br />

upgrad<strong>in</strong>g the national market<strong>in</strong>g <strong>in</strong>formation system with the regional market<strong>in</strong>g <strong>in</strong>formation<br />

system, (ii) undertak<strong>in</strong>g feasibility studies on mechanisms for dissem<strong>in</strong>ation <strong>of</strong> <strong>in</strong>formation, and<br />

(iii) provid<strong>in</strong>g capacity build<strong>in</strong>g <strong>of</strong> pastoral population and relevant stakeholders on market<strong>in</strong>g<br />

20


<strong>in</strong>formation utilization. Feasibility studies will underp<strong>in</strong> further <strong>in</strong>vestments and explore the<br />

possibility to <strong>in</strong>troduce technologies <strong>in</strong> the project areas (such as mobile phones and digital pens)<br />

which l<strong>in</strong>k and transfer <strong>in</strong>formation to and between markets and feed <strong>in</strong>to <strong>in</strong>novative disease<br />

report<strong>in</strong>g system (Aklilu, Y., Little, P.D., Mahmoud, H., and McPeak, J. 2013s). Capacity<br />

build<strong>in</strong>g on market<strong>in</strong>g <strong>in</strong>formation utilization will be provided through the agro-pastoral field<br />

schools (APFS), which are supported through the activities under component 3. APFS will<br />

provide the appropriate platform for knowledge generation and exchange. <strong>The</strong> project will tra<strong>in</strong><br />

master tra<strong>in</strong>ers (ToT) <strong>in</strong> market<strong>in</strong>g <strong>in</strong>formation systems and utilization. Master tra<strong>in</strong>ers, with<br />

support from the project staff, will assist communities <strong>in</strong> us<strong>in</strong>g, analys<strong>in</strong>g and mak<strong>in</strong>g the<br />

appropriate use <strong>of</strong> market <strong>in</strong>formation.<br />

2.7.9 Improv<strong>in</strong>g livestock mobility and trade <strong>in</strong> livestock and livestock products<br />

<strong>Livestock</strong> mobility is critical for susta<strong>in</strong><strong>in</strong>g pastoral livelihoods and access<strong>in</strong>g both national<br />

and <strong>in</strong>ternational markets. However, a number <strong>of</strong> Tran’s boundary animal diseases (TADs) such<br />

as the foot and mouth disease (FMD), the paste des petites rum<strong>in</strong>ants (PPR), the contagious<br />

bov<strong>in</strong>e pleuropneumonia (CBPP) and the contagious caprice pleuropneumonia (CCPP), affect<br />

animal productivity and negatively impact trade, thereby prevent<strong>in</strong>g pastoralists from access<strong>in</strong>g<br />

the lucrative markets <strong>of</strong> neighbour<strong>in</strong>g countries. This sub-component aims to support a<br />

coord<strong>in</strong>ated policy harmonization, <strong>in</strong>troduce pilot systems <strong>in</strong> animal identification and<br />

traceability, and foster public <strong>in</strong>vestments towards national veter<strong>in</strong>ary systems (Aklilu, Y., Little,<br />

P.D., Mahmoud, H., and McPeak, J. 2013s). A number <strong>of</strong> outputs will contribute to the expected<br />

outcome <strong>of</strong> this sub-component, namely (i) regional trade policies and standards harmonized and<br />

simplified, (ii) animal identification and traceability systems <strong>in</strong> the region strengthened and<br />

harmonized and, (iii) regional animal diseases surveillance and laboratory network strengthened.<br />

21


2.8. Major Contributions <strong>of</strong> PFE so Far<br />

2.8.1 Rais<strong>in</strong>g the parole <strong>of</strong> pastoralist <strong>in</strong> the country<br />

<strong>The</strong> social status <strong>of</strong> pastoralists is chang<strong>in</strong>g (less use <strong>of</strong> derogatory words like Zelan/nomad);<br />

pastoral solidarity enhanced; Policy makers have started listen<strong>in</strong>g to pastoral plights; the<br />

knowledge gap improved on uniqueness <strong>of</strong> the pastoral system; the name Arbeto’ader<br />

(pastoralists) have become Word <strong>of</strong> policy makers, media, and various actors; pastoralism<br />

appears <strong>in</strong> a vision Statement <strong>of</strong> higher education (Jigjiga University); better media coverage on<br />

pastoral Issues, etc. enhancement <strong>of</strong> consultation & participation <strong>of</strong> pastoralist <strong>in</strong> development<br />

and related issues, Change <strong>in</strong> Government policy <strong>in</strong> favor <strong>of</strong> pastoralism and pastoral<br />

development; Establishment <strong>of</strong> <strong>Pastoral</strong> A airs Stand<strong>in</strong>g Committee (PASC) <strong>in</strong> the Federal<br />

Parliament; recognition <strong>of</strong> Ethiopian <strong>Pastoral</strong>ist Day (EPD) as a national day; and establishments<br />

and/or formulation <strong>of</strong> pastoral <strong>in</strong>stitutions at the federal and regional levels (M<strong>in</strong>istry <strong>of</strong> Federal<br />

and <strong>Pastoral</strong>ist Development A airs, <strong>Pastoral</strong> bureaus and Commission at regional levels, etc.);<br />

pastoral issues <strong>in</strong>cluded <strong>in</strong> the national plans (PRSP generations); amative action given <strong>in</strong> higher<br />

education, (Policy Brief 72 | May 2014).<br />

2.8.2 Development <strong>of</strong> regional pastoral policy frameworks and programs<br />

Better economic and social development by Federal and Regional Governments, Donor, and<br />

NGOs; tailor-made pastoral programs (Safety net, PCDP, MDG match<strong>in</strong>g fund, etc.); thus, the<br />

social and economic services are tripled, etc. (Policy Brief 72 | May 2014). Adoption <strong>of</strong> EPD <strong>in</strong><br />

the neighbor<strong>in</strong>g countries like Kenya, Tanzania, and Uganda the development <strong>of</strong> AU Policy<br />

Framework on <strong>Pastoral</strong>ism (AU PFP); contributed to formation <strong>of</strong> bigger network<strong>in</strong>g like<br />

CELEP, IGAD policies & <strong>in</strong>itiatives, etc. Member organizations, especially Ethiopian resident<br />

charities, capacity built before and after the Proclamation 621/2009.In the process <strong>of</strong> the<br />

Proclamation 621/2009, the Forum has contributed a lot with key partners for the improvement<br />

<strong>of</strong> the law and guidel<strong>in</strong>es.<br />

2.8.3 Facts about Ethiopian <strong>Pastoral</strong>ists<br />

✓ comprise more than 12 million citizens resid<strong>in</strong>g <strong>in</strong> about 149 woredas <strong>in</strong> regional states <strong>in</strong><br />

Ethiopia<br />

✓ <strong>The</strong>y <strong>in</strong>hibit 61% <strong>of</strong> the country's landmass<br />

22


✓ <strong>Pastoral</strong> livestock population is approximately accounted for 42% <strong>of</strong> the national average<br />

<strong>in</strong> Total Tropical <strong>Livestock</strong> Unit (TLU).<br />

✓ <strong>Pastoral</strong> areas are rich <strong>in</strong> ore and fauna, biodiversity; huge m<strong>in</strong>eral, water, energy (solar<br />

and geothermal) resources<br />

✓ Untapped cultural and traditional heritage which are <strong>in</strong>evitably attractive to development<br />

workers, historians, archeologists and tourists Custodians <strong>of</strong> genetic resources and<br />

environ-mental protection. (Tezera Getahun,2008)<br />

23


2.9 Empirical Studies<br />

<strong>The</strong>re are only few studies conducted <strong>in</strong> the area <strong>of</strong> <strong>Market</strong> <strong>Access</strong> <strong>in</strong> pastoral community<br />

livestock production that result <strong>in</strong> high limitation <strong>of</strong> empirical studies to review that limits the<br />

comparisons <strong>of</strong> research f<strong>in</strong>d<strong>in</strong>gs conducted <strong>Market</strong> <strong>Access</strong> <strong>in</strong> pastoral community livestock<br />

production <strong>in</strong> the country till date. To conquer the limitation <strong>of</strong> related studies, this review<br />

ma<strong>in</strong>ly focuses on studies conducted on adoption and diffusion <strong>in</strong> the area <strong>of</strong> livestock market<br />

structure, export livestock production, value ch<strong>in</strong>e livestock production, animal production<br />

ma<strong>in</strong>ly dairy land and highland both <strong>in</strong> the country and aboard that directly or <strong>in</strong>directly deal<br />

with how market access reach the pastorals community. Accord<strong>in</strong>gly the f<strong>in</strong>d<strong>in</strong>gs <strong>of</strong> different<br />

studies were explored and presented. <strong>The</strong> age <strong>of</strong> pastoralists can generate or erode confidence<br />

towards the market accesses to use. Different studies reported different results upon the effect <strong>of</strong><br />

age on acceptance <strong>of</strong> new technologies and <strong>in</strong>formation.<br />

<strong>Pastoral</strong>ism and livestock production are <strong>of</strong> significant importance to the economies <strong>of</strong> Kenya<br />

and Ethiopia and to local livelihood systems. In Kenya, livestock production <strong>in</strong> the Arid and<br />

Semi-Arid Lands (ASALs) accounts for nearly 90% <strong>of</strong> the livelihood base and nearly 95% <strong>of</strong><br />

family <strong>in</strong>come, (Kenya M<strong>in</strong>istry <strong>of</strong> Agriculture, 2008). Reported that livestock production had<br />

positive and significant relationship with <strong>in</strong>come<br />

Middle wealth and higher wealth group households depend more on livestock sales to meet<br />

annual cash and cereal demands, and sell relatively more animals. <strong>The</strong>se groups will respond to<br />

<strong>in</strong>creased market demands (e.g. grow<strong>in</strong>g export markets), but simple bush markets can adapt to<br />

handle any <strong>in</strong>creased trade. As the export trade grows, the ma<strong>in</strong> beneficiaries are the various<br />

traders and service providers around the bus<strong>in</strong>ess, and relatively wealthy and middle-wealth<br />

group pastoralists (Tufts University November 2010). Reported that more livestock production<br />

positive and significant relationship wealth households.<br />

Several empirical studies carried out elsewhere support that the view that education by<br />

expand<strong>in</strong>g the person’s capacity to th<strong>in</strong>k thoroughly and <strong>in</strong>novatively, enhances decision mak<strong>in</strong>g<br />

efficiency and there by the <strong>in</strong>dustrious capabilities required to make <strong>in</strong>novative decision. <strong>The</strong><br />

outcome <strong>of</strong> educat<strong>in</strong>g pastoralists <strong>in</strong>dicates the importance <strong>of</strong> <strong>in</strong>creased human capital values <strong>in</strong><br />

trigger<strong>in</strong>g and foster<strong>in</strong>g wider technology dissem<strong>in</strong>ation and adoption even <strong>in</strong> extremely poor<br />

agrarian economies like Ethiopia (Tesfaye et al., 2001). Many studies reported that education<br />

24


level has positive relation with farm <strong>in</strong>formation utilization. Tesfaye et al., (2001) which have<br />

reported that education had positive and significant relationship with adoption.<br />

Young Family labor availability is one <strong>of</strong> the most important factors that affect household<br />

utilization <strong>of</strong> new technologies livestock productivity and market access. <strong>The</strong> young family size<br />

implies the larger availability <strong>of</strong> family labor that is needed for livestock production and market<br />

access by the household. Degnet et al., (2001); Kidane (2001) and Tesfaye et al., (2001) reported<br />

that young family labor have positive and significant relation <strong>of</strong> adoption <strong>of</strong> technologies that<br />

livestock productivity and market accesses Looked at household-level livestock market<strong>in</strong>g<br />

behavior among Northern Kenyan and Southern Ethiopian <strong>Livestock</strong> keepers. <strong>The</strong> study showed<br />

that the northern livestock keepers are still far from autarky market conditions and the major<br />

driv<strong>in</strong>g factors that <strong>in</strong>fluence market<strong>in</strong>g <strong>of</strong> livestock <strong>in</strong> the area is adjustment to drought shocks<br />

(Aklilu, Y., Little, P.D., Mahmoud, H., and McPeak, J. 2013s). It further <strong>in</strong>dicated that market<br />

participation widely varies from region to region and from season to season with an ultimate<br />

effect <strong>of</strong> trad<strong>in</strong>g routes for dest<strong>in</strong>ed market traders, <strong>The</strong> study extensively explored the ASAL<br />

pastoralist <strong>Livestock</strong> market<strong>in</strong>g behavior and observed that: there is <strong>in</strong>sufficient <strong>in</strong>formation for<br />

livestock Keepers and traders to plan for <strong>in</strong>curr<strong>in</strong>g transaction costs especially <strong>in</strong> times <strong>of</strong><br />

uncerta<strong>in</strong>ty such as drought period (Bellemare et al. 2004) and (Sharonet al. 2003). Reported that<br />

livestock keepers are far from autarky market conditions so young pastoralists are positive and<br />

significance far from market distance area <strong>Livestock</strong> is one <strong>of</strong> few livelihood options for<br />

pastoralists, and is the one that enables their way <strong>of</strong> life and susta<strong>in</strong>s their social structures.<br />

<strong>Livestock</strong> also <strong>of</strong>fers a gender-positive anti-poverty set <strong>of</strong> development tools (S<strong>in</strong>tayehu<br />

GebreMariam 2010).<br />

<strong>Pastoral</strong> livestock market<strong>in</strong>g systems associates more market <strong>in</strong>frastructure with more sales.<br />

Such pathways are unlikely <strong>in</strong> pastoralist areas. Policy engagement and economic analysis with<br />

Government partners is needed to raise understand<strong>in</strong>g <strong>of</strong> these issues at federal and regional<br />

levels. <strong>Livestock</strong> markets <strong>in</strong> pastoralist areas require basic facilities, such as load<strong>in</strong>g ramps and<br />

water troughs. (Tufts University November 2010). Reported that more market <strong>in</strong>frastructure with<br />

more sales is positive and significance <strong>in</strong>frastructure<br />

Gender disparity is one the factors that affects market access <strong>in</strong>formation utilization. Due to<br />

long lasted cultural and social grounds <strong>in</strong> many societies <strong>of</strong> develop<strong>in</strong>g countries, women have<br />

25


less access to household resources and also have less access to <strong>in</strong>stitutional services. Jimmy<br />

Smith 2013) <strong>in</strong> their study on adoption <strong>of</strong> improved livestock market <strong>in</strong> Kenya basically asked<br />

the question- why men and women adopt livestock production and market access at different<br />

rates (Jimmy Smith 2013). Reported that male households headed are more likely users <strong>of</strong><br />

improved technologies than female household headed<br />

Effect <strong>of</strong> livestock production number on market access <strong>of</strong> various pastoral production<br />

different f<strong>in</strong>d<strong>in</strong>gs was reported expla<strong>in</strong><strong>in</strong>g both positive and negative impacts. <strong>The</strong> f<strong>in</strong>d<strong>in</strong>gs <strong>of</strong><br />

Itana (1985), Wolday (1999), Mulugeta (2000), Million and Belay (2004) and Yishak (2005)<br />

shows that livestock production has positively and significantly <strong>in</strong>fluence utilization <strong>of</strong> livestock<br />

production. On the contrary Legesse, (1992) and Degnet et al., (2000) reported that negative<br />

relationship between livestock production number and utilization <strong>of</strong> agricultural technologies and<br />

livestock production quality. Degnet et al., (2001) and Getahun, (2004) reported that household<br />

livestock production <strong>in</strong>come had positive <strong>in</strong>fluence on adoption <strong>of</strong> improved technologies.<br />

Study reported by Tesfaye and Alemu (2001), <strong>in</strong>dicates that pastoralists who have access to<br />

credit use livestock package than those did not get access to credit. Gockowski and Ndoumbe<br />

(2004) reported that failure <strong>of</strong> formal rural credit <strong>in</strong>stitution significantly affected utilization <strong>of</strong><br />

<strong>in</strong>tensive mono-crop horticulture <strong>in</strong> Southern Cameroon by resource poor households.<br />

Study conducted by Asres (2005) shows that shar<strong>in</strong>g <strong>of</strong> available <strong>in</strong>formation was<br />

significant and positive relation with access to development communication. However, the<br />

f<strong>in</strong>d<strong>in</strong>g <strong>of</strong> Deribe (2007) <strong>in</strong>dicates that shar<strong>in</strong>g <strong>of</strong> available <strong>in</strong>formation <strong>of</strong> knowledge <strong>of</strong> dairy<br />

farm<strong>in</strong>g with other farmers was <strong>in</strong>significant.<br />

Mass media play the greatest role <strong>in</strong> provision <strong>of</strong> <strong>in</strong>formation <strong>in</strong> shortest possible time over<br />

large area <strong>of</strong> coverage. Accord<strong>in</strong>g to Yishak (2005), pastoralists who got access to agricultural<br />

<strong>in</strong>formation through various extension services and livestock market accesses have make use <strong>of</strong><br />

the available pastoral <strong>in</strong>formation they got and improved their livestock production. <strong>The</strong> study<br />

conducted by Joseph, et al. (2003) shows that to strengthen and better <strong>in</strong>tegrate communication,<br />

education and community <strong>in</strong>volvement when formulat<strong>in</strong>g and implement<strong>in</strong>g weed management<br />

strategies that remoteness and isolation <strong>of</strong> communities limit <strong>in</strong>teractions, lead<strong>in</strong>g to a lack <strong>of</strong><br />

shar<strong>in</strong>g <strong>of</strong> technical <strong>in</strong>formation and consequently hampers uptake <strong>of</strong> development practices<br />

26


such as pasture weed management. A study conducted by Yared (2006) showed that<br />

<strong>in</strong>terpersonal communication is the ma<strong>in</strong> medium to access to <strong>in</strong>formation when compared to<br />

radio, extension agents, NGOs, researcher tra<strong>in</strong><strong>in</strong>gs, demonstration and field day. Similarly a<br />

study conducted <strong>in</strong> Tanzania by Kaliba et al., (1998) clearly <strong>in</strong>dicated that ma<strong>in</strong> source <strong>of</strong><br />

<strong>in</strong>formation was research/extension, other sources and pastoralists <strong>in</strong> its order <strong>of</strong> importance.<br />

<strong>The</strong> study reported by (Jimmy Smith 2010), distance from market significantly and<br />

negatively affect market accesses as pastoralists located at distant from market center. <strong>The</strong> study<br />

also revealed the more distant pastoralists are located from the market centers; reported that<br />

negative and <strong>in</strong>significance. Similar study carried out <strong>in</strong> Nigeria by Scoones et al., (1996)<br />

revealed that the <strong>in</strong>centive to <strong>in</strong>vest <strong>in</strong> <strong>in</strong>tensification would <strong>in</strong>crease as the value <strong>of</strong> the output<br />

rises. Nevertheless, without good <strong>in</strong>frastructure and access to markets, the growth <strong>in</strong> economic<br />

<strong>in</strong>centives may not parallel demographic pressures and spontaneous <strong>in</strong>novation and spread <strong>of</strong> soil<br />

conservation may not take place. However, if a good road systems and competitively priced<br />

transport provide access to urban markets with high demand, then the livestock values market<br />

<strong>in</strong>crease, result<strong>in</strong>g <strong>in</strong> higher <strong>in</strong>centives to <strong>in</strong>vest for long-term ga<strong>in</strong>.<br />

Ethiopian pastoralists livestock as the core asset <strong>of</strong> pastoralists and <strong>in</strong>cludes specific<br />

strategies for support<strong>in</strong>g trade <strong>in</strong> livestock and livestock products it needs to:- livestock value<br />

cha<strong>in</strong>s, market access, reduc<strong>in</strong>g tariff and non-tariff barriers, market <strong>in</strong>formation and f<strong>in</strong>anc<strong>in</strong>g<br />

mechanisms, transport facility, communication network, <strong>in</strong>frastructure and market development,<br />

f<strong>in</strong>ancial services, and facilitat<strong>in</strong>g access to relevant <strong>in</strong>formation on bus<strong>in</strong>ess and related issues <strong>in</strong><br />

pastoral livestock market<strong>in</strong>g (http://www.future-agricultures.org 2014). Reported are positive or<br />

significance <strong>in</strong> livestock market access<br />

<strong>Market</strong> performance refers to the impact <strong>of</strong> structure and conduct as measured <strong>in</strong> terms <strong>of</strong><br />

variables such as prices, costs, and volume <strong>of</strong> output (Zekarias Bassa and Teshale Woldeamanuel<br />

2015). Reported are prices, costs, and volume <strong>of</strong> output positive or significance <strong>in</strong> livestock<br />

market performance. Both channels are dom<strong>in</strong>ant as <strong>in</strong> relation to proximity and long lived<br />

history, pastoralists are accustomed to <strong>in</strong>formal market channel. <strong>The</strong> formal market channel is a<br />

newly developed one and it has different sub channels (Zekarias Bassa and Teshale<br />

Woldeamanuel 2015). Reported are formal channels positive or significance <strong>in</strong> livestock market<br />

performance and <strong>in</strong>formal channel negative or <strong>in</strong>significance <strong>in</strong> livestock market channel<br />

27


2.10 Conceptual Framework<br />

<strong>Market</strong> accesses livestock production is a basic and fundamentally important element <strong>in</strong> any<br />

pastoral development activities, because it can affect decisions taken affect<strong>in</strong>g the susta<strong>in</strong>ability,<br />

productivity and pr<strong>of</strong>itability <strong>of</strong> <strong>Pastoral</strong> livelihoods. <strong>Market</strong> access <strong>Pastoral</strong> community <strong>in</strong><br />

livestock production by pastoralist’s enables them to better def<strong>in</strong>e their <strong>in</strong>terest, and <strong>in</strong>creases the<br />

barga<strong>in</strong><strong>in</strong>g power and ability to <strong>in</strong>fluence a decision mak<strong>in</strong>g process which shape their current<br />

life and/or the future generation.<br />

<strong>The</strong> market access is largely <strong>in</strong>fluenced by availability, diversity, and <strong>in</strong>tensity <strong>of</strong> <strong>in</strong>stitutional<br />

services, physical access (<strong>in</strong>frastructure), product market conditions and their level <strong>of</strong><br />

<strong>in</strong>tegration. Thus, livestock production is affected by availability and arrangements <strong>of</strong><br />

<strong>in</strong>stitutional services and adequacy and prevalence <strong>of</strong> contents and quality <strong>of</strong> productivity<br />

perta<strong>in</strong><strong>in</strong>g to technical aspects <strong>of</strong> a market. <strong>The</strong>se factors play vital roles <strong>in</strong> govern<strong>in</strong>g the<br />

dissem<strong>in</strong>ation and flow <strong>of</strong> <strong>in</strong>formation, and decision mak<strong>in</strong>g process <strong>of</strong> pastoralists.<br />

livestock market<strong>in</strong>g is diversity through which pastoralists receive extension services are<br />

affected by pastoral day visit made by extension agents, visits made by pastoralists to<br />

demonstration trials, listen<strong>in</strong>g to pastoral education program broadcasts, social participation,<br />

market <strong>in</strong>formation seek<strong>in</strong>g behavior, will<strong>in</strong>gness to share available market<strong>in</strong>g and participation<br />

on any formal tra<strong>in</strong><strong>in</strong>g related to pastoral practices.<br />

Based on literature review, empirical studies, discussion with expert and personal observation<br />

the conceptual frame work is formulated by tak<strong>in</strong>g <strong>in</strong> to consideration <strong>in</strong>dependent variables that<br />

<strong>in</strong>cludes personal, psychological, socio-cultural, economic, communication and situational<br />

factors that affects market access pastoral community <strong>in</strong> livestock production which is the<br />

dependent variable <strong>in</strong> this study ( figure1).<br />

28


• .Transportation facility<br />

• Distance from the center<br />

• Distance from nearest market<br />

• Mass Maida Exposure<br />

Communication factors<br />

• Knowledge <strong>of</strong><br />

livestock<br />

productivity<br />

• <strong>Market</strong><strong>in</strong>g<br />

Information<br />

shar<strong>in</strong>g<br />

• Achievement<br />

motivation<br />

market access<br />

Situational factors<br />

Socio-cultural factors<br />

MARKET ACCSESS<br />

LIVESTOCK<br />

PRODUCTION<br />

Psychological<br />

factors<br />

Demographic<br />

factors<br />

• Age<br />

o Education level<br />

o Family size<br />

• Social participation<br />

Economic factors<br />

• <strong>Livestock</strong> wealth number<br />

• On livestock production <strong>in</strong>come(yearly<br />

sales)<br />

Figure 1: Conceptual framework <strong>Market</strong> <strong>Access</strong> pastoral community livestock production<br />

29


CHAPTER THREE<br />

3. METHODOLOGY<br />

3.1 Description <strong>of</strong> the Study Area<br />

This study was be<strong>in</strong>g conducted <strong>in</strong> the Southwest Ethiopia, Benci-maji <strong>zone</strong> <strong>of</strong> SNNP regional<br />

government particularly; <strong>Surma</strong> is one <strong>of</strong> the woredas <strong>in</strong> the Southern Nations, Nationalities, and<br />

Peoples' Region <strong>of</strong> Ethiopia. It is named for the <strong>Surma</strong> people, whose homeland lies <strong>in</strong> this<br />

woreda. Part <strong>of</strong> the Bench <strong>Maji</strong> Zone, <strong>Surma</strong> is bordered on the south and west by South Sudan,<br />

on the northwest by the Gambela Region, on the north by Bero, and on the east by <strong>Maji</strong>. A<br />

portion <strong>of</strong> the Omo National Park extends <strong>in</strong>to the southern part <strong>of</strong> this woreda.<br />

<strong>The</strong> average elevation <strong>in</strong> this woreda is 2088 meters above sea level. Rivers <strong>in</strong>clude the Kaia<br />

River, a tributary <strong>of</strong> the Akobo, which has its orig<strong>in</strong>s <strong>in</strong> this woreda. High po<strong>in</strong>ts <strong>in</strong>clude Mount<br />

Naita (2560 meters) on the Ethiopian-South Sudanese border. Accord<strong>in</strong>g to a 2004 report, <strong>Surma</strong><br />

had 26 kilometers <strong>of</strong> dry-weather roads, for an average road density <strong>of</strong> 5 kilometers per 1000<br />

square kilometers. This lack <strong>of</strong> roads means remote locations are accessible only by air.<br />

Moreover, there is no radio communication available <strong>in</strong> this woreda. As <strong>of</strong> 2008, about 30% <strong>of</strong><br />

the total population <strong>of</strong> <strong>Surma</strong> has access to dr<strong>in</strong>k<strong>in</strong>g water.<br />

<strong>The</strong> total area <strong>of</strong> the woreda, it found 755km from Addis Ababa. <strong>The</strong> woreda were<br />

adm<strong>in</strong>istrative divided <strong>in</strong> to 22 kebele. <strong>Surma</strong> woreda were categorized as kola the total ra<strong>in</strong> fall<br />

was about 1000-1100mm mostly concentrated <strong>in</strong> the month or May, august to October. <strong>The</strong> ma<strong>in</strong><br />

annual temperature is estimated (34-36). Based on Ethiopian statistical Authority (ESA) <strong>in</strong> 2010<br />

national census show that the population <strong>of</strong> the woreda has 34 thousands has a population <strong>of</strong> the<br />

pastoralist’s development. To study the conditions the conditions <strong>of</strong> constra<strong>in</strong>ts livestock<br />

production the district was stratified by altitude (765 – 1080m and >1080-1250m) pastoralism<br />

(63.3%) and agro pastoralism 35.5% were dom<strong>in</strong>ant animal production system <strong>in</strong> the study<br />

district. <strong>Livestock</strong>’s are the ma<strong>in</strong> <strong>of</strong> the community up on which the livelihood <strong>of</strong> pastoralist<br />

depends on, the sale <strong>of</strong> livestock and livestock products 88% is the ma<strong>in</strong> source <strong>of</strong> <strong>in</strong>come.<br />

Based on the 2007 national census is 24,598 <strong>of</strong> which 11,794(49.95%) are Male and<br />

12,804(52.05%) Female (CSA, 2007). Out <strong>of</strong> the total populations on the Urban is 914 (3.76%)<br />

30


which 467 (51.1%) are male and 447 (48.9%) female and Rural is 23,684 (96.28%) which<br />

11,327(47.83%) male and 12,357(52.17%) female are very large number <strong>of</strong> rural pastoralists<br />

which shows that <strong>in</strong> order to market access <strong>in</strong> pastoral community livestock production<br />

pastoralists we should be get on the market access. <strong>The</strong> dom<strong>in</strong>ant economic activities <strong>in</strong> the<br />

study area are accessibility on the market.<br />

3.2 Sampl<strong>in</strong>g procedure<br />

3.2.1. Sampl<strong>in</strong>g design<br />

This study used multi-stage sampl<strong>in</strong>g procedure, <strong>in</strong> which both purposive (non-probability<br />

sampl<strong>in</strong>g) and stratified, simple random sampl<strong>in</strong>g techniques (probability sampl<strong>in</strong>g) was used to<br />

select the sample respondents. <strong>The</strong> ma<strong>in</strong> advantage <strong>of</strong> this sampl<strong>in</strong>g procedure is that it allows<br />

for the collection <strong>of</strong> <strong>in</strong>formation that is directly related to the research objectives.<br />

3.2.2 Sampl<strong>in</strong>g frame<br />

In the third stage, each selected pastoralist’s kebeles stratified <strong>in</strong>to Father household and<br />

Mother household and fresh lists <strong>of</strong> market users’ pastoralists was listed with the help <strong>of</strong> kebele<br />

manager, extension agents, and key <strong>in</strong>formants <strong>of</strong> the villages from which sample respondents<br />

were draw. Stratification would be based on the pr<strong>in</strong>cipal variable under study such as <strong>in</strong>come,<br />

age, education, location, etc.<br />

3.2.3. Sample size determ<strong>in</strong>ation<br />

<strong>The</strong>re are several approaches for sample size determ<strong>in</strong>ation. <strong>The</strong>se <strong>in</strong>clude us<strong>in</strong>g a census for<br />

small populations, imitat<strong>in</strong>g a sample size <strong>of</strong> similar studies, us<strong>in</strong>g published tables, and apply<strong>in</strong>g<br />

formulas to calculate a sample size. This study applied a simplified formula provided by Yamane<br />

(1967) to determ<strong>in</strong>e the required sample size at 95% confidence level, degree <strong>of</strong> variability be<strong>in</strong>g<br />

0.5 and level <strong>of</strong> precision 0.09<br />

n=<br />

N<br />

1+N(e)^2<br />

31


Where n is the sample size, N is the population size (total household heads size), and e is the<br />

level <strong>of</strong> precision. <strong>The</strong> above formula required a m<strong>in</strong>imum <strong>of</strong> 120 respondents, but this study is<br />

the maximum carried out <strong>in</strong> 140 respondents.<br />

3.2.4. Sample size<br />

In the f<strong>in</strong>al stage, tak<strong>in</strong>g <strong>in</strong>to account time and resources at the disposal <strong>of</strong> the researcher, out <strong>of</strong><br />

the total list <strong>of</strong> livestock producers pastoralists by simple size will be use total population <strong>of</strong><br />

1207 household head <strong>in</strong> five kebels female and male household 126 households was selected,<br />

distributed among the pastoralists us<strong>in</strong>g probability proportional to size random sampl<strong>in</strong>g<br />

households <strong>of</strong> livestock production market users and sample <strong>Pastoral</strong>ists <strong>in</strong> the study area.<br />

3.3 Data types and source<br />

Data collected for this thesis proposal research was both quantitative and qualitative <strong>in</strong> nature.<br />

For this, both primary and secondary data was be used. To get background <strong>in</strong>formation and to<br />

understand the socio-economic, agro-ecological and other related <strong>in</strong>formation market accesses <strong>of</strong><br />

the study area, secondary sources will review. Secondary data sources was reports, records <strong>of</strong><br />

DAs and, published and unpublished documents <strong>of</strong> <strong>zone</strong> and <strong>Woreda</strong> <strong>of</strong>fice <strong>of</strong> Animal and fish<br />

development <strong>of</strong>fice.<br />

<strong>The</strong> source <strong>of</strong> primary data was household head respondents <strong>in</strong> the study area. Primary data<br />

were ma<strong>in</strong>ly focused on personality characteristics, socio-economic factors, situational factors,<br />

cultural factor and psychological factors. Thus, data was collected on variable’s like: age,<br />

education level, sources <strong>of</strong> <strong>in</strong>formation, importance <strong>of</strong> <strong>in</strong>formation, extension participation<br />

(tra<strong>in</strong><strong>in</strong>g, on pastoral demonstration, field days, exhibitions), exposure to media (radio, TV,<br />

newsletter, posters and leaflets), <strong>in</strong>formation seek<strong>in</strong>g behavior, achievement motivation,<br />

participation <strong>in</strong> social <strong>in</strong>stitutions, livestock production <strong>in</strong>come, knowledge <strong>of</strong> market access, and<br />

attitude towards livestock productivity. <strong>The</strong> sources <strong>of</strong> qualitative data was key <strong>in</strong>formants,<br />

pastoralists, and, groups <strong>of</strong> women and men pastoralists <strong>of</strong> the study area.<br />

32


3.4 Data Collection Tools and Procedures<br />

3.4.1 Quantitative data collection methods<br />

3.4.1.1 Interview<br />

<strong>The</strong> primary <strong>in</strong>formation collected by <strong>in</strong>terview<strong>in</strong>g pastoralists with the help <strong>of</strong> structured<br />

<strong>in</strong>terview schedules. For this purpose, six enumerators, who have acqua<strong>in</strong>tance with socio<br />

economic concepts and knowledge <strong>of</strong> the culture <strong>of</strong> the society as well as local language<br />

pr<strong>of</strong>iciency was selected, tra<strong>in</strong>ed and employed.<br />

Quantitative data was collected through personal <strong>in</strong>terviews. <strong>The</strong> respondents were <strong>in</strong>terviewed<br />

us<strong>in</strong>g a pre-tested, structured <strong>in</strong>terview schedule and pilot <strong>in</strong>terview is conducted with some<br />

concerned body and pastoralists which help to modify market access pastoral community <strong>in</strong><br />

livestock production <strong>of</strong> the draft questionnaire.<br />

3.4.1.2 Focus Group Discussion<br />

Focus group discussion is also used to collect the data. One focus group discussions are<br />

conducted. In the group, two market<strong>in</strong>g <strong>of</strong>ficers, one rode and transportation <strong>of</strong>ficers, one wetter<br />

supply <strong>of</strong>ficers, one public communication <strong>of</strong>ficers, two women and three men from pastoralists,<br />

one cultural expert from the culture and <strong>in</strong>formation department was <strong>in</strong>cluded. This helped me to<br />

draw <strong>in</strong>formation about to which extent the <strong>Market</strong> accesses <strong>in</strong> pastoral community livestock<br />

production.<br />

33


3.4.1.3 Participant Observation<br />

Observation was used as <strong>in</strong>strument <strong>of</strong> data gather<strong>in</strong>g. <strong>The</strong> researchers have got the chance to<br />

participate and observe <strong>Market</strong> accesses <strong>in</strong> pastoral community livestock production.<br />

Photographs <strong>of</strong> related events and matters supplement the observations. Some <strong>of</strong> the proceed<strong>in</strong>gs<br />

were also tape recorded, <strong>in</strong> addition to written notes. <strong>The</strong> method helps me to capture <strong>of</strong><br />

significant data on <strong>Market</strong> accesses <strong>in</strong> pastoral community livestock production.<br />

3.4.2 Qualitative data collection methods<br />

Qualitative data was used to supplement and to fill gaps dur<strong>in</strong>g the quantitative data<br />

collection process. Primary <strong>in</strong>formation was obta<strong>in</strong> from pastoralists through personal<br />

observation; <strong>in</strong>formal <strong>in</strong>terviews with key <strong>in</strong>formants and pastoralists. <strong>The</strong> discussions are held<br />

with groups <strong>of</strong> pastoralists to see and cross check how they express their ideas <strong>in</strong> group when<br />

compared with <strong>in</strong>dividual views on the improved access <strong>of</strong> livestock market<strong>in</strong>g. A personal<br />

observation was used to collect additional <strong>in</strong>formation for the study. Focused group discussions<br />

were is held on specific topics with small groups <strong>of</strong> people that consisted <strong>of</strong> between 10 to 11<br />

members. Often, the researcher made sure that the discussion does not diverge too far from the<br />

orig<strong>in</strong>al topic and that no participant dom<strong>in</strong>ated the discussion.<br />

3.4.2.1 Secondary Data<br />

To explore the role <strong>of</strong> the <strong>Market</strong> accesses <strong>in</strong> pastoral community and livestock production <strong>in</strong><br />

the local area, secondary sources were also be used. Accord<strong>in</strong>g to Kothari (2004:113) the source<br />

<strong>of</strong> secondary data can be obta<strong>in</strong>ed from publications <strong>of</strong> the central or local state governments,<br />

publications <strong>of</strong> foreign governments or <strong>in</strong>ternational bodies and their subsidiary organizations,<br />

technical and trade journals, books, magaz<strong>in</strong>es and newspapers, reports and other sources <strong>of</strong><br />

published <strong>in</strong>formation. In the processes <strong>of</strong> data gather<strong>in</strong>g from the secondary sources, the<br />

researcher must make a m<strong>in</strong>ute scrut<strong>in</strong>y because it is just possible that the secondary data may be<br />

unsuitable or may be <strong>in</strong>adequate <strong>in</strong> the context <strong>of</strong> the problem which the researcher wants to<br />

study. Hence, pert<strong>in</strong>ent secondary data from relevant library sources collected from books,<br />

journals and proceed<strong>in</strong>gs and other published and unpublished materials written on <strong>Market</strong><br />

accesses and its livestock production have also been reviewed and identify<strong>in</strong>g the <strong>Market</strong><br />

accesses <strong>in</strong> pastoral community <strong>in</strong> livestock production.<br />

34


3.5 Methods <strong>of</strong> data analysis<br />

In this study, data was analyzed us<strong>in</strong>g different quantitative and qualitative statistical<br />

procedures and methods. A descriptive statistical tool was used to analyze the quantitative data.<br />

<strong>The</strong> important statistical measures that will be used to summarize and categorize the research<br />

data are: t=value and p=value probability <strong>of</strong> f=value the qualitative data was be<strong>in</strong>g: analyzed on<br />

the spot dur<strong>in</strong>g data collection to avoid forgett<strong>in</strong>g and to be able to fill the gaps <strong>in</strong> the<br />

quantitative data. After collect<strong>in</strong>g the necessary data, I have categorized, comb<strong>in</strong>ed, synthesized<br />

and there by analyzed the collected data. For the purpose <strong>of</strong> clarity and convenience the data<br />

collected by each data collection technique is transcribed, compiled and further elaborated <strong>in</strong> to<br />

mean<strong>in</strong>gful and patterned <strong>in</strong>formation soon after the completion <strong>of</strong> that particular data collection<br />

session. <strong>The</strong> theme was discussed <strong>in</strong> respect <strong>of</strong> literature and the research f<strong>in</strong>d<strong>in</strong>g. Any setbacks,<br />

<strong>The</strong>re are a number <strong>of</strong> factors that might affect its quality. Some <strong>of</strong> these are: <strong>in</strong>frastructural<br />

problem, time constra<strong>in</strong>t and f<strong>in</strong>ancial shortage<br />

3.5.1. Descriptive methods<br />

Descriptive statistics to be employed to analyses generated data are frequencies, mean,<br />

maximum and m<strong>in</strong>imum values, standard deviations, t-value and t-test. In addition, Pearson’s<br />

Product-Moment Correlation Coefficient to measure strength <strong>of</strong> relationships between dependent<br />

and cont<strong>in</strong>uous <strong>in</strong>dependent variables; statistics is used to measure the strength and <strong>in</strong>dicate<br />

direction <strong>of</strong> association between categorical variables.<br />

3.5.2. Regression analysis<br />

Depend<strong>in</strong>g on the assumed distribution <strong>of</strong> that the random disturbance term follows, several<br />

qualitative choice models such as l<strong>in</strong>ear probability model <strong>in</strong> l<strong>in</strong>ear regression, logit, or probit<br />

models could be estimated (P<strong>in</strong>dyck and Rub<strong>in</strong>feld, 1997; Green, 2000). Qualitative choice<br />

models are useful to estimate the probability that an <strong>in</strong>dividual with agents <strong>of</strong> attributes was<br />

make one choice rather than an alternative (ibid). Of the three functional relationships <strong>of</strong>ten<br />

specified, the l<strong>in</strong>ear probability model is computational simpler and easier to <strong>in</strong>terpret parameter<br />

estimates than the other two models. However, its specification creates estimation problems<br />

35


<strong>in</strong>volv<strong>in</strong>g the application <strong>of</strong> OLS such as heterosecedasticity error terms, predicted values may<br />

fall outside the (0, 1) <strong>in</strong>terval, and non-normal distribution <strong>of</strong> term. Although, transformation<br />

could provide homoscedastic disturbance terms and then apply weight least square procedures,<br />

there is no guarantee that the predicated value was lie <strong>in</strong> the (0, 1) probability range. <strong>The</strong>se<br />

difficulties with l<strong>in</strong>ear probability model compelled econometricians to look for model<br />

specification (P<strong>in</strong>dyick and Rub<strong>in</strong>feld, 1997; Green, 2000). <strong>The</strong> two most popular functional<br />

forms used <strong>in</strong> adoption model<strong>in</strong>g are the probit and logit. <strong>The</strong>se models have got desirable<br />

statistical properties as the probabilities are bound between 0 and 1 (P<strong>in</strong>dyick and Rub<strong>in</strong>feld,<br />

1997; Green, 2000).<br />

3.5.3 logit regression<br />

Sometimes response categories are ordered but do not form an <strong>in</strong>terval scale. <strong>The</strong>re is a clear<br />

rank<strong>in</strong>g among the categories, but the difference among adjacent categories cannot be treated as<br />

the same. Responses like these with categories cannot be easily modeled with classical<br />

regression. L<strong>in</strong>ear regression is <strong>in</strong>appropriate because <strong>of</strong> the non-<strong>in</strong>terval nature <strong>of</strong> the dependent<br />

variable, the spac<strong>in</strong>g <strong>of</strong> the outcome choices cannot be assumed to be uniform. logit and probit<br />

models have been widely used for analyz<strong>in</strong>g such data (Liao, 1994).<br />

3.5.4 Model specification<br />

Follow<strong>in</strong>g Liao (1994), Green (2000) and Wooldridge (2002) the functional form <strong>of</strong> logit model<br />

is specified as follows:<br />

k<br />

y ∗= ∑k=1 βkχk+ε. ------------------------------------------- (1)<br />

y ∗ = is unobserved and thus can be thought <strong>of</strong> as the underly<strong>in</strong>g tendency <strong>of</strong> an observed<br />

phenomenon.<br />

ε = we assume it follows a certa<strong>in</strong> symmetric distribution with zero mean such as normal or<br />

logistic distribution. What we do observe is<br />

y = 1 if y ∗ ≤ μ1 (= 0)<br />

36


y = 2 if μ1 < y ∗≤ μ2<br />

y = 3 if μ2 < y ∗ ≤ μ3 (2)<br />

y = j if μj − 1 < y ∗<br />

Where y is observed <strong>in</strong> j number <strong>of</strong> categories, μ is are unknown threshold parameters separat<strong>in</strong>g<br />

the adjacent categories to be estimated with βs.<br />

<strong>The</strong> general form for the probability that the observed y falls <strong>in</strong>to category j and the μ is and the<br />

βs are to be estimated with a logit model is<br />

k<br />

Prob (y = j) = 1 −L(µj − 1 ∑k=1 βk × k) ---------------------------------- (3)<br />

Where L (•) represents cumulative logistic distribution<br />

Marg<strong>in</strong>al effects on the probabilities <strong>of</strong> each market access <strong>in</strong> pastoral community livestock<br />

production status were calculated by<br />

aprob(y=j)<br />

aXk<br />

k<br />

=f ((µj − 1 ∑k=1 βk × k) -(µj − 1 ∑k=1 βk × k)) ---------------------- (4)<br />

k<br />

Where f (·) represents the probability density function<br />

Accord<strong>in</strong>g to Gujarati (1995) there are various <strong>in</strong>dicators <strong>of</strong> multicoll<strong>in</strong>earity and no s<strong>in</strong>gle<br />

diagnostic test will give us complete <strong>in</strong>formation regard<strong>in</strong>g the presence <strong>of</strong> multicoll<strong>in</strong>earity <strong>in</strong><br />

the data. For this particular study, Variance Inflation Factor (VIF)) for cont<strong>in</strong>ues variables were<br />

used. If there is larger value <strong>of</strong> VIF the more real the problem <strong>of</strong> multicoll<strong>in</strong>earity.<br />

VIF (Xj) = 1 - Rj2 1<br />

Where, Rj 2 is the coefficient <strong>of</strong> determ<strong>in</strong>ation when the variable Xj is regressed on the other<br />

explanatory variables.<br />

37


<strong>The</strong> Independent variables supposed to <strong>in</strong>fluence <strong>of</strong> market access pastoral community <strong>in</strong><br />

livestock production<br />

<strong>The</strong> regression model will used to obta<strong>in</strong> an estimate <strong>of</strong> the market access pastoral community<br />

livestock production the study area. <strong>The</strong> multiple regression model used to estimate the factors<br />

affect<strong>in</strong>g the market access livestock production <strong>of</strong> pastoral community’s to improve for<br />

market access <strong>in</strong> the study area is expressed as: Let MAPCLP* be a latent variable which is not<br />

observed when it is less than or equal to zero but is observed if it is greater than zero. <strong>The</strong><br />

multiple regressions is built on a latent variable with the follow<strong>in</strong>g formulation:<br />

MAIPCLP ∗= xiβ + εi ……………………………………. (4)<br />

Where<br />

β = a vector <strong>of</strong> coefficients<br />

Xi = vector <strong>of</strong> Independent Variables<br />

ε = the disturbance term<br />

Expanded <strong>in</strong> terms <strong>of</strong> the variables<br />

If FIMAPCLP ∗ > O, we have positively significantly if FIMAPCLP =<br />

1 and if FIMAPCLP ∗ ≤ 0, we have FIMAPCLP = 0. <strong>The</strong>refore based on<br />

equation 1 the l<strong>in</strong>ear regression model will be: -<br />

FIMAIPCLP ∗= β0 + β1 x1 + β2x 2 + β3 x3 + β4x4 + … … … … … + ε<br />

Where<br />

All the variables are as def<strong>in</strong>ed <strong>in</strong> section 3.1<br />

β0 – βx = are coefficients<br />

where:<br />

MAACSSES = market access <strong>in</strong> pastoral community livestock production<br />

AGE=Age (Years), EDU=Education level (years spent <strong>in</strong> school), FSIZE=Family size<br />

SEX=sex (1if male, 0, otherwise), KNLIPR=Knowledge <strong>of</strong> livestock productivity,<br />

ACMO=Achievement motivation, SOPA=Social participation, Wealth=Wealth, <strong>in</strong>come=<strong>in</strong>come,<br />

MAMEEXP=Mass media exposure, INSHBE=Information shar<strong>in</strong>g behaviour,<br />

38


TRANSFACILITY=Transportation Facility, DIFRMA=Distance from <strong>Market</strong>,<br />

DIFRCE=Distance from centre.<br />

Like logistic regression, logit uses maximum likelihood methods, and f<strong>in</strong>ds the best set <strong>of</strong><br />

regression coefficients to predict values <strong>of</strong> the logit-transformed probability that the dependent<br />

variable falls <strong>in</strong>to one category rather than another. Logistic regression assumes that if the fitted<br />

probability, p, is greater than 0.05(5%), and 0.1(10%) the dependent variable should have value<br />

1 rather than 0. logit doesn't have such a fixed assumption. Instead, it fits a set <strong>of</strong> cut<strong>of</strong>f po<strong>in</strong>ts. If<br />

there are r levels <strong>of</strong> the dependent variable (1 to r), it will f<strong>in</strong>d r-1 cut<strong>of</strong>f values k1 to kr-1 such that<br />

if the fitted value <strong>of</strong> logit(p) is below k1, the dependent variable is predicted to take value 0, if<br />

the fitted value <strong>of</strong> logit(p) is between k1 and k2, the dependent variable is predicted to take value<br />

1, and so on (Bru<strong>in</strong>, 2006).<br />

<strong>The</strong> <strong>in</strong>terpretation <strong>of</strong> the marg<strong>in</strong>al effects for the first alternative (low level <strong>of</strong> market access<br />

livestock production <strong>in</strong> pastoral community) and the third alternative (high level <strong>of</strong> livestock<br />

production pastoralists is straight forward. For the low level, a positive value for the marg<strong>in</strong>al<br />

effect means the probability <strong>of</strong> us<strong>in</strong>g low market access livestock production <strong>in</strong>creases whereas a<br />

negative marg<strong>in</strong>al effect means the probability <strong>of</strong> shift<strong>in</strong>g out <strong>of</strong> the low level <strong>in</strong>to higher<br />

categories <strong>in</strong>creases. Shift<strong>in</strong>g out <strong>of</strong> the low level does not necessarily mean mov<strong>in</strong>g <strong>in</strong>to the next<br />

level but simply means a probability us<strong>in</strong>g more market access livestock production.<br />

Information utilization shifts <strong>in</strong>to higher categories (Borooah, 2001). In the case <strong>of</strong> the high<br />

level, a positive marg<strong>in</strong>al effect implies an <strong>in</strong>creased probability for the pastoralists to use all<br />

practices, whereas a negative marg<strong>in</strong>al effect <strong>in</strong>dicates <strong>in</strong>creased probability for a pastoralist to<br />

move <strong>in</strong>to low level <strong>of</strong> market access livestock production. <strong>The</strong> impact <strong>of</strong> each explanatory<br />

variable on the probability <strong>of</strong> market access livestock production is calculated by keep<strong>in</strong>g the<br />

cont<strong>in</strong>uous variables at their mean values and the dummy or discrete variables at their most<br />

frequent value (zero or one or two or three).<br />

39


3.5.5. Variables to be <strong>in</strong>cluded <strong>in</strong> the model Analysis <strong>of</strong> Determ<strong>in</strong>ants <strong>of</strong> MAIPCLP by<br />

pastoralists<br />

As it has been mentioned so far, there are a lot <strong>of</strong> variables that affect market participation.<br />

Hence, based on theories, experience and literatures the follow<strong>in</strong>g expected signs <strong>of</strong> the variables<br />

have been featured.<br />

Table 1, List <strong>of</strong> variables to be <strong>in</strong>cluded <strong>in</strong> presented Table 1 below.<br />

No<br />

Variable<br />

name<br />

description<br />

1 Age Age <strong>of</strong><br />

respondent<br />

Variable type Expected<br />

sign<br />

Sources<br />

sign<br />

expectation<br />

for<br />

Value<br />

Measured<br />

t=value<br />

cont<strong>in</strong>ues + Akilu,(2000) years<br />

2 fsize Family size cont<strong>in</strong>ues + Senait,<br />

(2002)<br />

All<br />

are<br />

Number <strong>of</strong> family<br />

size<br />

3 edulevel Education<br />

level<br />

4 knlipr Knowledge <strong>of</strong><br />

livestock<br />

productivity<br />

5 acmo Achievement<br />

motivation<br />

6 sopa social<br />

participation<br />

7 Wealth total livestock<br />

Wealth<br />

8 <strong>in</strong>come Income(yearly<br />

yearly sale)<br />

Categorized + Tesfaye et al<br />

,(2001)<br />

Categorized + Deribe,<br />

(2007).<br />

Categorized + Deribe,<br />

(2007).<br />

Categorized + Habtemariam<br />

, (2004).<br />

cont<strong>in</strong>ues + (Yishak,<br />

2005<br />

cont<strong>in</strong>ues + Birhanu,<br />

(2002).<br />

Read and write,<br />

primary school,<br />

secondary school<br />

high school and<br />

college<br />

Low, Medium,<br />

High<br />

Low, Medium,<br />

High<br />

Low, Medium,<br />

High<br />

Numbers <strong>of</strong> cattails<br />

In birr (yearly sale)<br />

40


sale)<br />

9 <strong>in</strong>shbe <strong>Market</strong> access Categorized + Asres (2005) Low, Medium,<br />

High<br />

10 mameexp Mass media Categorized + Daniel Low, Medium,<br />

exposure<br />

(2002) High<br />

11 transfacil Transportation Dummy - (Mendelsohn No yes<br />

ity facility<br />

, (2006).<br />

12 difrma Distance from cont<strong>in</strong>ues - S<strong>in</strong>tayehu Kilometers<br />

<strong>Market</strong><br />

GebreMaria<br />

m (2010).<br />

13 difrce Distance from cont<strong>in</strong>ues - Legesse Kilometers<br />

center<br />

(2001)<br />

Source: Computed from survey data, 2009<br />

<strong>The</strong>se variables were selected on the basis <strong>of</strong> theoretical explanations, panel <strong>of</strong> expert judges,<br />

personal observations and the results <strong>of</strong> the survey studies. To determ<strong>in</strong>e the best subset <strong>of</strong><br />

explanatory variables that is good predictors <strong>of</strong> the dependent variable, the parameters <strong>of</strong> the<br />

logit model.<br />

3.6 Def<strong>in</strong>ition <strong>of</strong> Variables<br />

3.6.1 Dependent variable<br />

<strong>The</strong> dependent variable <strong>of</strong> the study is market accesses livestock production. <strong>The</strong> variable is<br />

operationalized, as market accesses pastoral community <strong>in</strong> livestock production. In order to<br />

measure the extent <strong>of</strong> market accesses pastoral community <strong>in</strong> livestock production is given to<br />

market accesses livestock production components recommended by research. <strong>The</strong> significant<br />

recommended market accesses components by research will use <strong>in</strong> consultation with the<br />

concerned subject matter specialist <strong>of</strong> zonal and worda. <strong>The</strong>n suitable questions will pastoral to<br />

gather responses from pastoralists about the important features <strong>of</strong> market accesses. <strong>The</strong><br />

recommended components <strong>of</strong> market access are given weighted scores as per their<br />

subcomponents and summed up that gave score <strong>of</strong> the dependent variable. Respondents are<br />

41


classified <strong>in</strong> to three market access livestock production user’s categories view. Yes <strong>in</strong>formal,<br />

and yes formal based on their deviation from the mean <strong>of</strong> total livestock production market<br />

access score. This gave market access pastoral community <strong>in</strong> livestock production as dependent<br />

variable with an ord<strong>in</strong>al nature.<br />

3.6.2 Independent variables<br />

Independent variables <strong>in</strong>clude that supposed to <strong>in</strong>fluence <strong>of</strong> market access pastoral community<br />

<strong>in</strong> livestock production <strong>in</strong>clude personal, psychological, socio-cultural, economic,<br />

communication, <strong>in</strong>frastructure and situational variables. Relevant <strong>in</strong>dependent variables are<br />

selected based on <strong>in</strong>formation drawn from previous research and published literatures related to<br />

the study as well as through discussions carried out with experts.<br />

3.6.3 Def<strong>in</strong>ition <strong>of</strong> Independent Variables and hypothesis<br />

<strong>The</strong> follow<strong>in</strong>g <strong>in</strong>dependent variables were hypothesized to <strong>in</strong>fluence the market accesses pastoral<br />

community <strong>in</strong> livestock production.<br />

Age <strong>of</strong> household respondent (Age): <strong>The</strong> age <strong>of</strong> a pastoralist can generate or erode confidence<br />

towards the livestock production. Even if different study results provide a mixed result, it is<br />

obvious that young pastoralists are eager to get market access, exchange and utilize livestock<br />

production knowledge (Akilu, 2000). It is hypothesized that pastoralists with younger age have<br />

more probability <strong>of</strong> market access <strong>in</strong> pastoral community livestock production. It is measured <strong>in</strong><br />

number <strong>of</strong> years and the younger have positively significant to participate towards the market<br />

access.<br />

Education level (EDULEVEL): Education refers to the level <strong>of</strong> formal and non-formal<br />

education. Educational level as a variable help<strong>in</strong>g exposure to <strong>in</strong>formation, and also positively<br />

affects market access <strong>in</strong>formation shar<strong>in</strong>g and utilization (Tesfaye et al, 2001). It was measured<br />

<strong>in</strong> terms <strong>of</strong> ability to read and write and enrolment <strong>in</strong> primary, secondary schools or above. It<br />

was assumed to exert positive impact on market access <strong>in</strong> pastoral community livestock<br />

production.<br />

42


Family labor (Fsize): is the size <strong>of</strong> family labor <strong>of</strong> the respondent measured <strong>in</strong> terms<br />

the family size is the larger the man day equivalent <strong>in</strong> the family members available for<br />

livestock production would be, and a positive relationship is expected between family labor<br />

force start<strong>in</strong>g from keep<strong>in</strong>g and market accesses <strong>in</strong> pastoral community and productivity <strong>of</strong><br />

livestock production package (Senait, 2002)<br />

.<br />

Knowledge <strong>of</strong> livestock production package (KNLIPP): In this study it is measured<br />

<strong>in</strong> terms <strong>of</strong> procedure knowledge test <strong>of</strong> livestock production package recommended practices<br />

<strong>in</strong> total score. It is assumed to have positive <strong>in</strong>fluence to dependent variable (cited <strong>in</strong> Deribe,<br />

2007).It was assumed to positively affect the dependent variable.<br />

.<br />

Information shar<strong>in</strong>g behavior (INSHBE): It is the extent to which respondent shared the<br />

available <strong>in</strong>formation with others <strong>in</strong>clud<strong>in</strong>g family members, friends or neighbors, extension<br />

agent etc. It is purposive <strong>in</strong> nature and is a consequence <strong>of</strong> a need to satisfy some goal. Study<br />

conducted by Asres (2005) shows that shar<strong>in</strong>g <strong>of</strong> available <strong>in</strong>formation was significant and<br />

positive relation with access to development communication. It is assumed to have a positive<br />

relationship with market accesses <strong>in</strong> pastoral community livestock production.<br />

<strong>Market</strong> distance (MADE): A pastoralists who is at closer distance to the market has a greater<br />

chance to get more market accesses from others that can create variation <strong>in</strong> <strong>in</strong>put and out<br />

possession <strong>of</strong> <strong>in</strong>formation a pastoral hav<strong>in</strong>g more market accesses will have higher probability <strong>of</strong><br />

utilization <strong>of</strong> livestock production market. It is measured by distance from market <strong>in</strong> Km.<br />

<strong>The</strong>refore this variable expected to <strong>in</strong>fluence positively the <strong>of</strong> livestock production market<br />

accesses.<br />

Transportation facility (Transfacility): Those pastoralists who are located far away from the<br />

center are at disadvantaged for <strong>in</strong>put and produce transport to market. It is measured by<br />

availability and type <strong>of</strong> public and private transportation facilities. It is expected to positively<br />

<strong>in</strong>fluence market accesses livestock production.<br />

43


Distance <strong>of</strong> from center (DEFRCE): <strong>The</strong> longer the house from the <strong>Woreda</strong> head quarter the<br />

lesser the frequency <strong>of</strong> visit<strong>in</strong>g the concerned <strong>of</strong>fices that result to limited market access to<br />

livestock production as well as necessary <strong>in</strong>puts. It is measured <strong>in</strong> terms <strong>of</strong> distance from the<br />

<strong>Woreda</strong> head quarter <strong>in</strong> km It is assumed to negatively <strong>in</strong>fluence the dependent variable.<br />

Achievement motivation (ACMO): It is def<strong>in</strong>ed as the need <strong>in</strong> an <strong>in</strong>dividual to perform<br />

different roles with some degree <strong>of</strong> excellence. Achievement motivation is assumed to have<br />

positive relationship with market access <strong>in</strong> pastoralists.<br />

Mass media exposure (MAMEEX): is measured <strong>in</strong> terms <strong>of</strong> access to mass (TV, radio<br />

and pr<strong>in</strong>t media) on different weight and frequency to each media. Mass media play greatest<br />

role <strong>in</strong> provision <strong>of</strong> <strong>in</strong>formation <strong>in</strong> shortest possible time over large area Daniel (2002). <strong>The</strong><br />

effective mass media utilization <strong>in</strong>creases shar<strong>in</strong>g <strong>of</strong> technical <strong>in</strong>formation. It is expected to<br />

have positive <strong>in</strong>fluence on market access <strong>in</strong> livestock production.<br />

Wealth (Wealth):- refers to the total number <strong>of</strong> livestock production owned by a pastoralist.<br />

<strong>The</strong> more arable livestock means the more <strong>in</strong>come flows to the household. It was measured <strong>in</strong><br />

numbers. Those pastoralists who are relatively better <strong>in</strong> <strong>in</strong>come has better search and access to<br />

market and capacity (Yishak, 2005). Hence the larger the livestock numbers the more positive<br />

<strong>in</strong>fluence it might exert on market access <strong>in</strong> pastoral community livestock production.<br />

It was expected to <strong>in</strong>fluence market access and livestock production positively.<br />

Income (yearly sale) (Income): <strong>The</strong> pastoral <strong>in</strong>come refers to the total annual earn<strong>in</strong>gs <strong>of</strong> the<br />

family from the sale <strong>of</strong> livestock production. <strong>The</strong> household head that have high <strong>in</strong>come earned<br />

from the livestock production activities <strong>in</strong>creases the pastoralist’s f<strong>in</strong>ancial capacity and <strong>in</strong>crease<br />

the probability <strong>of</strong> <strong>in</strong>vest<strong>in</strong>g on new technologies that is to get and market access than those<br />

hav<strong>in</strong>g less pastoral <strong>in</strong>come. It is measured by the amount <strong>of</strong> <strong>in</strong>come from the on livestock<br />

production <strong>in</strong>come. This variable was assumed to <strong>in</strong>fluence the market accesses livestock<br />

production positively.<br />

44


CHAPTER FOUR<br />

4. RESULTS AND DISCUSSION<br />

4.1. Introduction<br />

This chapter is ma<strong>in</strong>ly concerned with the analysis and <strong>in</strong>terpretation <strong>of</strong> the major f<strong>in</strong>d<strong>in</strong>gs <strong>of</strong><br />

the study. Thus, this chapter is subdivided <strong>in</strong>to four sections. <strong>The</strong>se sections are the description<br />

<strong>of</strong> demographic, economic, psychological, socio-cultural, communication and situational factors;<br />

<strong>Market</strong> access <strong>in</strong> pastoral community livestock production, extent <strong>of</strong> market access pastoralists;<br />

perceived importance <strong>of</strong> <strong>in</strong>formation source relationship between dependent and <strong>in</strong>dependent<br />

variables and <strong>in</strong>fluences <strong>of</strong> <strong>in</strong>dependent variable on dependent variable.<br />

4.1.1 <strong>Market</strong> access <strong>in</strong> pastoral community livestock production user’s category<br />

<strong>Market</strong> access <strong>in</strong> pastoral community livestock production user’s category are Majority <strong>of</strong><br />

livestock market<strong>in</strong>g <strong>in</strong>formation <strong>in</strong> the pastoralist level is outdated, unreliable and as the result it<br />

couldn’t able to provide the real picture <strong>of</strong> the economic contribution <strong>of</strong> pastoralists sector for<br />

the country economy and the community engaged <strong>in</strong> the sector. More over these, the critical<br />

problem <strong>in</strong> livestock market<strong>in</strong>g sector stands <strong>in</strong> the course <strong>of</strong> formulat<strong>in</strong>g appropriate policies<br />

and procedures for the purpose <strong>of</strong> <strong>in</strong>creas<strong>in</strong>g market<strong>in</strong>g efficiency <strong>in</strong> the sector. For the<br />

pastoralists’ community undertak<strong>in</strong>g research on structure conduct and performance <strong>of</strong> livestock<br />

is believed to enhance its productivity by locat<strong>in</strong>g economical livestock market<strong>in</strong>g routes.<br />

Available evidence shows that limited numbers <strong>of</strong> <strong>in</strong>vestigations have been made on local and<br />

regional livestock markets <strong>in</strong> pastoralist area many factors affect at the markets access (Ayele et<br />

al., 2003). To atta<strong>in</strong> the level <strong>of</strong> <strong>Market</strong> access <strong>in</strong> pastoral community livestock production user’s<br />

category through comparative analysis, each practice <strong>in</strong>cluded <strong>in</strong> <strong>Market</strong> access was valued and<br />

aggregate market access utilization quotients <strong>of</strong> market access users atta<strong>in</strong>ed by respondents<br />

were computed.<br />

45


<strong>The</strong> result reveals that out <strong>of</strong> 126 respondents, nearly 83% <strong>of</strong> the respondent uses the<br />

<strong>in</strong>formal market while only 17% <strong>of</strong> the respondents use the formal market. <strong>The</strong> f<strong>in</strong>d<strong>in</strong>g implies<br />

market access <strong>in</strong> pastoral community livestock production users is very much limited legal<br />

market access and majority uses <strong>in</strong>formal market <strong>in</strong> the study area. In order explore the possible<br />

differences between the formal market users and the <strong>in</strong>formal market user’s t test has been used.<br />

<strong>The</strong> result reveals that there is some degree <strong>of</strong> differences <strong>in</strong> these two categories (Table 2).<br />

Table 2. Distribution <strong>of</strong> household respondent t-test for by level <strong>of</strong> MAIPCLP (n=126)<br />

Description <strong>of</strong> variable Mean<br />

Mean T test<br />

(<strong>in</strong>formal ) (formal)<br />

1 Age <strong>of</strong> respondent 38.16 41.64 0.3041<br />

2 Family size <strong>of</strong> respondents 8.846154 7.636364 0.3186<br />

3 wealth 70.58654 35.95455 0.100**<br />

4 Yearly sale (<strong>in</strong>come) 31009.95 22919.45 0.1125<br />

5 Distance from <strong>Market</strong> 20.65385 18.81818 0.4714<br />

6 Distance from center 23.50962 18.40909 0.100**<br />

Source: Computed from own data, 2009 *** significant at 5% and ** significant at 10%<br />

Accord<strong>in</strong>g to the table <strong>of</strong> t-test, wealth and distance from the center are statistically significant<br />

as the probability p>/t/ is less than 0.10, which is 10% level <strong>of</strong> significance.<br />

4.1.2 Descriptions <strong>of</strong> Demographic, Economic, Communication, Situational, Socio-cultural<br />

and Psychological Characteristics <strong>of</strong> Respondents<br />

Under this sub section description <strong>of</strong> explanatory variables <strong>in</strong>fluenc<strong>in</strong>g market access <strong>in</strong><br />

pastoral community livestock production are discussed <strong>in</strong> detail. <strong>The</strong> explanatory variables are<br />

demographic, economic, situational, communication, socio-cultural and psychological factors.<br />

46


4.2 Demographic characteristics <strong>of</strong> sample household<br />

Demographic characteristics considered <strong>in</strong> this study were variables <strong>of</strong> demographic<br />

dimensions <strong>of</strong> the <strong>in</strong>dividual respondents such as Age, Education level,<br />

4.2.1 Age <strong>of</strong> respondents<br />

As presented <strong>in</strong> Table 2, the age <strong>of</strong> the household respondent has an important role <strong>in</strong> the<br />

livestock production market <strong>of</strong> market access <strong>in</strong> pastoral community livestock production <strong>of</strong> the<br />

study area. It was hypothesized that the <strong>in</strong>formal market users are eager to get more to formal<br />

market access livestock production and used it. <strong>The</strong> statistical test also confirms that <strong>in</strong>significant<br />

the mean value Mean (<strong>in</strong>formal) = 38.16 Mean (formal) = 41.64 the market users are between<br />

<strong>in</strong>formal and <strong>in</strong>formal users age are no deferent users <strong>of</strong> market access (t=0.3041).<br />

4.2.2 Education level<br />

Education is one <strong>of</strong> the most important variables, which <strong>in</strong>creases pastoralist’s ability to obta<strong>in</strong>,<br />

exchange market <strong>in</strong>formation and use market access <strong>in</strong> pastoral community livestock production.<br />

Thus, educational level <strong>of</strong> an <strong>in</strong>dividual is one <strong>of</strong> the important factors prepar<strong>in</strong>g the <strong>in</strong>dividual<br />

to receive and utilize market access livestock production to be more productive. Association<br />

between education level <strong>of</strong> respondents and market access <strong>in</strong> pastoral community livestock<br />

production is presented <strong>in</strong> Table 3.<br />

Table 3. Association between education level <strong>of</strong> respondents and MAIPCLP (n=126)<br />

market access <strong>in</strong> Educational level<br />

pastoral community<br />

livestock<br />

production<br />

Illiterate read and<br />

write<br />

primary<br />

school<br />

secondary<br />

school<br />

College<br />

above<br />

N=126 79 32 8 5 2<br />

and<br />

percentage 62.70 25.40 6.35 3.97 1.59<br />

cumulative 62.70 88.10 94.44 98.41 100.00<br />

Source: Computed from own data, 2009<br />

47


As shown <strong>in</strong> Table 3 out <strong>of</strong> the total household respondents, illiterate, read and write, primary<br />

school, secondary school and college and above were 62.70%, 25.40%, 6.35% and 3.97% 1.59%<br />

respectively. Many studies reported that education level has positive relation with farm<br />

<strong>in</strong>formation utilization (Tesfaye et al 2001). <strong>The</strong> survey result <strong>in</strong>dicates that there is high<br />

illiteracy rate among the household respondent. <strong>The</strong> study confirms that the low level <strong>of</strong><br />

education and high illiteracy rate among pastoralists <strong>of</strong> the country contribute to low market<br />

access <strong>in</strong> pastoral community livestock production.<br />

4.2.3 Family size<br />

Family size is one <strong>of</strong> the major resources owned by pastoral families. Family labor availability<br />

and/or shortage for various areas such as the household, market<strong>in</strong>g activities and other external<br />

demands <strong>in</strong>clud<strong>in</strong>g social obligations and duties faced by pastoral household is essential.<br />

As presented <strong>in</strong> Table 2, <strong>in</strong> the study area start<strong>in</strong>g from livestock keep<strong>in</strong>g to its sell<strong>in</strong>g market,<br />

production <strong>of</strong> livestock products requires sufficient number <strong>of</strong> labour power or family size.<br />

<strong>Pastoral</strong>ists are fare from the distance from market center especially market<strong>in</strong>g and keep<strong>in</strong>g <strong>of</strong><br />

livestock call for amount <strong>of</strong> labour. <strong>The</strong> statistical analysis shows that <strong>in</strong>significance the mean<br />

value market access (<strong>in</strong>formal) =.846 Mean (formal) =7.636 the market users are between<br />

<strong>in</strong>formal and <strong>in</strong>formal users Family size <strong>of</strong> respondents are no deferent users <strong>of</strong> market access<br />

(t=0.318). <strong>The</strong> probable reason might be due to Family size <strong>of</strong> respondents’ <strong>in</strong>formal market<br />

user’s similar with formal market users upon access to market.<br />

48


4.3 Psychological factors<br />

Psychological factors considered <strong>in</strong> this study were variables <strong>of</strong> psychological dimensions <strong>of</strong><br />

the <strong>in</strong>dividual respondents such as Knowledge <strong>of</strong> livestock productivity, Attitude toward<br />

livestock production and Achievement motivation.<br />

4.3.1 Knowledge <strong>of</strong> livestock productivity Package<br />

Knowledge is a vital part <strong>of</strong> <strong>in</strong>novation utilization decision process. Knowledge Characterized<br />

by <strong>in</strong>to three; awareness, pr<strong>in</strong>ciple and procedure knowledge levels that affects <strong>in</strong>novation<br />

utilization. In this study, Knowledge <strong>of</strong> livestock productivity is def<strong>in</strong>ed as the extent <strong>of</strong> the<br />

respondent’s clarity about Knowledge <strong>of</strong> livestock productivity <strong>in</strong> terms <strong>of</strong> how to do it. <strong>The</strong><br />

association between Knowledge <strong>of</strong> livestock productivity <strong>of</strong> sample household respondents and<br />

their market access <strong>in</strong> pastoral community livestock production is presented <strong>in</strong> Table4, below.<br />

Table 4. Association between Knowledge <strong>of</strong> livestock productivity <strong>of</strong> respondents and<br />

MAIPCLP (n=126)<br />

No market access <strong>in</strong> Knowledge <strong>of</strong> livestock productivity N=126<br />

pastoral community Frequency percentage Cumulative percent<br />

livestock production<br />

users category<br />

1 Low 64 50.79 50.79<br />

2 Medium 48 38.10 88.89<br />

3 High 14 11.11 100.00<br />

Source: Computed from survey data, 2009. Figures <strong>in</strong> parenthesis are percentage<br />

As presented <strong>in</strong> Table4, for better understand<strong>in</strong>g <strong>of</strong> household respondent level <strong>of</strong> Knowledge <strong>of</strong><br />

livestock productivity, respondents were put under three categories <strong>of</strong> Knowledge <strong>of</strong> livestock<br />

productivity possession based on their knowledge. Accord<strong>in</strong>gly, out <strong>of</strong> the total household<br />

respondents,50.79% were under low possession <strong>of</strong> knowledge <strong>of</strong> livestock productivity<br />

categorize, 38.10% under medium possession <strong>of</strong> Knowledge <strong>of</strong> livestock productivity categories<br />

49


and only 11.11% were identified as hav<strong>in</strong>g good possession <strong>of</strong> Knowledge <strong>of</strong> livestock<br />

productivity.<br />

4.3.2 Achievement motivation<br />

Achievement motivation is def<strong>in</strong>ed as the need <strong>in</strong> an <strong>in</strong>dividual to perform different roles with<br />

some degree <strong>of</strong> excellence. <strong>The</strong> association between achievement motivation <strong>of</strong> sample<br />

household respondents and their market access <strong>in</strong> pastoral community livestock production is<br />

presented <strong>in</strong> Table 5, below.<br />

Table 5. Association between achievement motivation <strong>of</strong> respondents and MAIPCLP (n=126)<br />

No market access <strong>in</strong> Achievement motivation N=126<br />

pastoral community Frequency percentage Cumulative<br />

livestock production<br />

percent<br />

users category<br />

1 Low 108 85.71 85.71<br />

2 Medium 15 11.90 97.62<br />

3 High 3 2.38 100.00<br />

Source: Computed from survey data, 2009.<br />

As <strong>in</strong>dicated <strong>in</strong> Table 5, the achievement motivation <strong>of</strong> sample household respondents <strong>of</strong> low,<br />

medium and high livestock package market access is 85.71%, 11.90 and 2.38 were respectively.<br />

<strong>The</strong> sample household respondents were put under three category <strong>of</strong> low, medium and high<br />

category <strong>of</strong> achievement motivation for the f<strong>in</strong>d<strong>in</strong>g <strong>in</strong>dicates that, the majority household<br />

respondent fall <strong>in</strong>to low category, the result achievement motivation <strong>of</strong> the respondent ranges<br />

from medium to high achievement motivation<br />

4.4 Socio-cultural factors<br />

In this study, socio-cultural factors <strong>in</strong>clude variables <strong>of</strong> social participation. <strong>The</strong> survey result <strong>of</strong><br />

socio-cultural factor is discussed <strong>in</strong> this sub section.<br />

50


4.4.1 Social Participation<br />

<strong>The</strong> person’s affiliation and <strong>in</strong>volvement <strong>in</strong> social activities or the <strong>in</strong>volvements <strong>of</strong> a person <strong>in</strong><br />

any formal or <strong>in</strong>formal organizations gives higher exposure for different <strong>in</strong>formation and<br />

consequently more market access than those who did not <strong>in</strong>volve <strong>in</strong> social participation. <strong>The</strong><br />

level <strong>of</strong> social participation <strong>in</strong> formal <strong>in</strong>stitution (parent school committee, pastoral cooperatives,<br />

Kebele adm<strong>in</strong>istration, women association and) and <strong>in</strong>formal (Idir, Ekub, mahber, church and<br />

mosque) and anti HIV/AIDS club participation.<br />

In this study social participation is proxy to participation <strong>of</strong> the respondent <strong>in</strong> <strong>in</strong>formal and<br />

formal organizations as a member and leader. <strong>The</strong>refore, it was expected that level <strong>of</strong> social<br />

participation <strong>of</strong> pastoralists <strong>in</strong>fluence livestock production market access users<br />

Table 6. Association between social participation <strong>of</strong> respondents and MAIPCLP (n=126)<br />

No market access <strong>in</strong> social participation N=126<br />

pastoral community Frequency percentage Cumulative<br />

livestock production<br />

percent<br />

users category<br />

1 Low 53 42.06 42.06<br />

2 Medium 55 43.65 85.71<br />

3 High 18 14.29 100.00<br />

Source: Computed from own data, 2009.<br />

As presented <strong>in</strong> Table 6, social participation <strong>of</strong> sample household respondents <strong>of</strong> low, and<br />

medium high, market access users category is 42.06%, 43.65% and 14.29% were respectively.<br />

Sample <strong>of</strong> respondent <strong>in</strong> market access <strong>in</strong> pastoral community livestock production users<br />

category based on their medium social participation <strong>of</strong> the sample respondents.<br />

51


4.5 Economic factors<br />

Economic factors considered <strong>in</strong> this study were variables <strong>of</strong> economic factors <strong>of</strong> the <strong>in</strong>dividual<br />

respondents such as wealth/<strong>Livestock</strong> owned number and on livestock production <strong>in</strong>come (yearly<br />

sale).<br />

4.5.1 <strong>Livestock</strong> owned number /wealth/<br />

<strong>Livestock</strong> is a primary source <strong>of</strong> livelihood for pastoral households <strong>in</strong> the study area. <strong>Livestock</strong><br />

number is an <strong>in</strong>dicator <strong>of</strong> wealth and social status and <strong>in</strong>fluence with<strong>in</strong> a community. It was<br />

assumed that the larger the livestock number, the higher is the possibility to use a comb<strong>in</strong>ation <strong>of</strong><br />

market access <strong>in</strong> livestock production. In the study area, the number <strong>of</strong> the livestock owned<br />

differs from household to household.<br />

As presented <strong>in</strong> Table 2, the total household respondents pastoralists <strong>in</strong> surma worda has<br />

livestock production. <strong>The</strong> statistical analysis shows that there is significant at the level <strong>of</strong> 10% on<br />

market access, the mean value market access (<strong>in</strong>formal) =70.586 Mean (formal) =35.954 the<br />

market users are between <strong>in</strong>formal and formal market users are high wealth <strong>in</strong>formal market<br />

users <strong>of</strong> the respondents <strong>in</strong> market access (t=0.100). <strong>The</strong> probable reason might be due to wealth<br />

<strong>of</strong> respondents’ <strong>in</strong>formal market user’s high with formal market users upon access to market.<br />

4.5.2 <strong>Livestock</strong> production <strong>in</strong>come (yearly sale)<br />

<strong>The</strong> household head who has high <strong>in</strong>come earned from the pastoral activities <strong>in</strong>creases the<br />

pastoralists’ f<strong>in</strong>ancial capacity and probability <strong>of</strong> market access. <strong>The</strong> survey results revealed that<br />

pastoralism is the ma<strong>in</strong> source <strong>of</strong> household <strong>in</strong>come <strong>in</strong> the study area<br />

As presented <strong>in</strong> Table 2, the analysis shows that there is among pastoralists <strong>in</strong> market access <strong>in</strong><br />

pastoral community livestock production on the basis <strong>of</strong> livestock production <strong>in</strong>come is most <strong>of</strong><br />

low <strong>in</strong>come. <strong>The</strong> statistical analysis shows that there is <strong>in</strong>significant. <strong>The</strong> mean value market<br />

access (<strong>in</strong>formal) =31009.95 Mean (formal) =22919.45 the market users are between <strong>in</strong>formal<br />

and formal market users Income (yearly sales) <strong>of</strong> respondents are no deference <strong>in</strong> market access<br />

users (t=0.112). <strong>The</strong> probable reason might be due to Income (yearly sales) <strong>of</strong> respondents’<br />

<strong>in</strong>formal market user’s and formal market users no difference access to the market.<br />

52


4.5.5. Communication Factors<br />

Communication variables <strong>in</strong>clude mass media exposure and will<strong>in</strong>gness to share available<br />

<strong>in</strong>formation.<br />

4.5.1 Mass media exposure<br />

Mass media plays vital role <strong>in</strong> provision <strong>of</strong> <strong>in</strong>formation over large area coverage <strong>in</strong> shortest<br />

time possible. <strong>Access</strong> to channels <strong>of</strong> <strong>in</strong>formation facilitates the opportunity to use available<br />

market access <strong>in</strong>formation by pastoralists. Under subsection <strong>of</strong> media exposure, the sample<br />

household respondents were <strong>in</strong>terviewed how frequently they had had the opportunity <strong>of</strong> radio,<br />

television, newsletter and leaflets. At the same time, they were <strong>in</strong>terviewed to rank which<br />

program is most important to them or market access <strong>in</strong> pastoral community and why it is<br />

important to them. Association between media exposure <strong>of</strong> sample household respondent and<br />

their market access <strong>in</strong> pastoral community livestock production is presented <strong>in</strong> Table 8.<br />

Table 7. Association between media exposure <strong>of</strong> respondent and their MAIPCLP (n=126).<br />

N market access <strong>in</strong> pastoral Mass media exposure N=126<br />

o community livestock Frequency percentage Cumulative<br />

production users<br />

percent<br />

category<br />

1 Low 75 59.52 59.52<br />

2 Medium 47 37.30 96.83<br />

3 High 4 3.17 100.00<br />

Source: Computed from own data, 2009.<br />

As <strong>in</strong>dicated <strong>in</strong> Table 7, media exposure <strong>of</strong> sample respondents <strong>of</strong> low, medium and market<br />

access <strong>in</strong> pastoral community livestock production users category is 59.52%, 37.30% and 3.17%<br />

respectively. Among household respondents were hav<strong>in</strong>g no exposure to any mass media. Those<br />

household respondents who have low, medium high media exposure household respondents have<br />

loss media exposure, respectively. This <strong>in</strong>dicates that there are high <strong>in</strong>formation access gap<br />

household respondents <strong>of</strong> the study area.<br />

To get clear picture access to media <strong>in</strong> the study area further analysis for comparisons <strong>of</strong> sample<br />

household respondents’ was employed and summarized <strong>in</strong> Table 9 below.<br />

53


Table 8. Distribution <strong>of</strong> respondents by types <strong>of</strong> mass media exposure area MAIPCLP (n=126).<br />

N Frequency Radio Poster leaflets newsletter Television<br />

o<br />

n % n % n % n % n %<br />

1 Never 92 73.02 108 85.71 113 89.68 118 93.65 120 95.24<br />

2 Some times 18 14.29 18 14.29 13 10.32 8 6.35 6 4.76<br />

3 Once a week 9 7.14 0 0 1 0.79 0 0 0 0<br />

4 Daily 7 5.56 0 0 0 0 0 0 0 0<br />

5 Total 126 100 126 100 126 100 126 100 126 100<br />

Source: Computed from own survey data, 2008 N= sample<br />

Those household respondents hav<strong>in</strong>g no exposure to radio, posters, leaflets, newsletter, and<br />

television were 73.02%, 85.71%, 89.68%, 93.65% and 95.24% <strong>of</strong> respectively. As it is <strong>in</strong>dicated<br />

<strong>in</strong> Table 20, 5.56% <strong>of</strong> the respondents have daily exposure to radio; however, none <strong>of</strong> them has<br />

daily exposure to posters, leaflets, newsletter, and television. Majority <strong>of</strong> the household<br />

respondents (26.99%) have exposure to radio out <strong>of</strong> which 14.29% listen some times, 7.14%<br />

listen once a week and 5.56% <strong>of</strong> them listen daily. <strong>The</strong> survey result reveals that posters, leaflets,<br />

newsletter, and television are least used media among respondent <strong>of</strong> the sample household <strong>in</strong> the<br />

study area. Among the household respondents, 14.29%, 10.32% and 0.79%, 6.35%, 4.76%<br />

exposed to posters sometimes, leaflets Some times and Once a week, newsletter Sometimes and<br />

television Sometimes respectively. Television is the least utilized <strong>in</strong> the study area which is<br />

positively related to the education level <strong>of</strong> the household respondents. <strong>The</strong> household<br />

respondents were also <strong>in</strong>terviewed to rank types <strong>of</strong> programs they attend.<br />

<strong>The</strong> household respondents were also <strong>in</strong>terviewed to rank types <strong>of</strong> programs they attend. <strong>The</strong><br />

types <strong>of</strong> programs they attend on radio were summarized and presented <strong>in</strong> Table 10 below.<br />

54


Table 9. Importance <strong>of</strong> media programs attended by household respondent (n=80)<br />

Program Least<br />

important<br />

Somehow<br />

important<br />

moderately<br />

important<br />

Important<br />

(3)<br />

Most<br />

important<br />

Ran<br />

k<br />

(0) (1) (2)<br />

(4)<br />

n % n % n % n % n %<br />

Music 0 0 1 2.00 19 38.00 1 36.00 12 24.00 1 st<br />

8<br />

Enterta<strong>in</strong>ment 6 13.95 16 37.21 15 34.88 4 9.30 2 4.65 2 nd<br />

Drama 1 2.17 4 8.70 11 23.91 2 45.65 9 19.57 2 nd<br />

1<br />

News 4 9.30 10 23.26 19 44.19 9 20.93 1 2.33 3 rd<br />

<strong>Livestock</strong> 3 8.57 5 14.29 17 48.57 9 25.71 1 2.86 4 th<br />

market<strong>in</strong>g<br />

program<br />

Source: Computed from own survey data, 2009 N= sample size<br />

As <strong>in</strong>dicated <strong>in</strong> Table 9, Music, Enterta<strong>in</strong>ment, drama, news and <strong>Livestock</strong> market<strong>in</strong>g program<br />

were ranked 1st, 2nd, 3rd, and 4th respectively. <strong>The</strong> household respondents focused ma<strong>in</strong>ly to<br />

radio program as they relatively have more access to radio compared to the rest <strong>of</strong> mass media<br />

exposure <strong>in</strong> the study area. Sample household respondents were also <strong>in</strong>terviewed on why they<br />

ranked those programs they attended. <strong>The</strong> f<strong>in</strong>d<strong>in</strong>g <strong>of</strong> the survey result that describes reason for<br />

rank<strong>in</strong>g those programs they attended is the household respondents described why they ranked<br />

first was: to refreshment Music classical or dance, Enterta<strong>in</strong>ment, Drama, News is important for<br />

my life and <strong>Livestock</strong> market<strong>in</strong>g program to improve my livelihood, to get experience and to<br />

know government regulation <strong>in</strong> their order <strong>of</strong> importance. <strong>The</strong> survey result implies that<br />

pastoralists are eager to get up to date <strong>Livestock</strong> market<strong>in</strong>g <strong>in</strong>formation for their livelihood<br />

improvement.<br />

55


4.5.4 Information shar<strong>in</strong>g behavior<br />

Information shar<strong>in</strong>g behavior the extent to which sample household respondents shared the<br />

<strong>in</strong>formation with others which <strong>in</strong>cludes; family members, neighbors, relatives and the likes. <strong>The</strong><br />

sample household respondents’ shar<strong>in</strong>g available <strong>in</strong>formation the higher is the more the<br />

respondent is will<strong>in</strong>g to share available <strong>in</strong>formation with others. Association between shar<strong>in</strong>g<br />

available <strong>in</strong>formation by household respondent and their maize package <strong>in</strong>formation utilization is<br />

presented <strong>in</strong> Table 15 below.<br />

Table 10.Association between shar<strong>in</strong>g available <strong>in</strong>formation by respondent and their<br />

MAIPCLP(N=126)<br />

No market access <strong>in</strong> Information shar<strong>in</strong>g behavior N=126<br />

pastoral community Frequency percentage Cumulative<br />

livestock production<br />

percent<br />

users category<br />

1 Low 67 53.17 53.17<br />

2 Medium 51 40.48 93.65<br />

3 High 8 6.35 100.00<br />

Source: Computed from own data, 2009<br />

As presented <strong>in</strong> Table 10, the will<strong>in</strong>gness to share available <strong>in</strong>formation <strong>of</strong> sample respondents<br />

<strong>of</strong> low, medium and high market access <strong>in</strong> pastoral community livestock production user’s<br />

category is 53.17%, 40.48% and 6.35% respectively. Study conducted by Asres (2005) shows<br />

that shar<strong>in</strong>g <strong>of</strong> available <strong>in</strong>formation was significant and positive relation with access to<br />

development communication. Among sample household respondents <strong>in</strong> market access <strong>in</strong><br />

pastoral community livestock production users category is based on their will<strong>in</strong>gness to share<br />

available <strong>in</strong>formation among <strong>Pastoral</strong>ists. <strong>The</strong> reason might be due the less will<strong>in</strong>gness <strong>of</strong><br />

shar<strong>in</strong>g available <strong>in</strong>formation among the majority <strong>of</strong> the sample respondents.<br />

56


4.6 Situational factor<br />

4.6.1 Transportation facility<br />

Those pastoralists who are located far away from the center are disadvantaged for sell<strong>in</strong>g<br />

livestock production, livestock product and transport to market as well as access to market access<br />

<strong>in</strong>formation sources. Association between transportation facility <strong>of</strong> sample household respondent<br />

and their <strong>Market</strong> access <strong>in</strong> pastoral community livestock production is presented <strong>in</strong> Table 11<br />

below.<br />

Table 11. Association between respondent transportation facility and their MAIPCLP (n=126)<br />

<strong>Market</strong> access livestock Availability <strong>of</strong> transportation facility (n=126)<br />

production users Frequency percentage Cumulative percent<br />

no 106 84.13 84.13<br />

yes 20 15.87 100.00<br />

Source: Computed from own data, 2009.<br />

As presented <strong>in</strong> Table 14, despite the importance <strong>of</strong> transportation facility for market<strong>in</strong>g <strong>of</strong><br />

livestock products and <strong>in</strong>put supply, the survey result shows that 84% <strong>of</strong> the household<br />

respondents have no transportation facility. Only 15% <strong>of</strong> the household respondents have access<br />

to lorry transport. <strong>The</strong> survey result <strong>in</strong>dicates that the household respondent walk on their feet to<br />

get <strong>in</strong>put from market as well as they have either to carry by themselves. Among sample<br />

household respondent <strong>in</strong> <strong>Market</strong> access livestock production users based on transportation<br />

facility the majority is no transportation access by the study area.<br />

4.6.2 Distance from the market<br />

<strong>The</strong> household respondents were located scatter at different distance from ma<strong>in</strong> market center<br />

that was located at the center, <strong>Surma</strong> worda kibish town. In the study area Most <strong>of</strong> household<br />

respondents livestock production for subsistence whereas chattels and goats are the ma<strong>in</strong> cash<br />

<strong>in</strong>come. However, the household respondents use small and less developed market places at their<br />

locality.<br />

As presented <strong>in</strong> Table 2, the distance <strong>of</strong> household respondents from nearest market place <strong>of</strong><br />

the market access <strong>in</strong> pastoral community livestock production users <strong>The</strong> analysis shows that<br />

57


there among sample respondent <strong>in</strong> market access <strong>in</strong> pastoral community livestock production<br />

users based on distance from market, <strong>The</strong> statistical analysis shows that there is <strong>in</strong>significant on<br />

market access, the mean value market access (<strong>in</strong>formal) = 20.653 Mean (formal) = 18.818 the<br />

market users are between, <strong>in</strong>formal and <strong>in</strong>formal users Distance from the market <strong>of</strong> respondents<br />

are no deferent users <strong>of</strong> market access (t=0.471). <strong>The</strong> probable reason might be due to Distance<br />

from the market <strong>of</strong> the respondents’ <strong>in</strong>formal market user’s similar with formal market users<br />

upon access to market.<br />

4.6.3 Distance from Centre<br />

<strong>The</strong> distance from Centre that reflects that to what extent pastoralists are close to market<br />

access <strong>in</strong> pastoral community livestock production, <strong>in</strong>puts, market<strong>in</strong>g and all other relevant<br />

social services like hospitals and education services that have impact on the liv<strong>in</strong>g condition <strong>of</strong><br />

pastoralists.<br />

As presented <strong>in</strong> Table 2, the distance <strong>of</strong> household respondents from the center <strong>of</strong> market<br />

access <strong>in</strong> pastoral community livestock production user’s, <strong>The</strong> analysis shows that there among<br />

sample respondent <strong>in</strong> market access <strong>in</strong> pastoral community livestock production users based on<br />

distance from the center the <strong>in</strong>formal market users is high Distance from the center on the study<br />

area. <strong>The</strong> statistical analysis shows that there is significant at the level <strong>of</strong> 10% on market access,<br />

the mean value market access (<strong>in</strong>formal) =23.509, Mean (formal) = 18.409 the market users are<br />

between <strong>in</strong>formal and formal market users Distance from the center <strong>of</strong> respondents are <strong>in</strong>formal<br />

market users far from market access users (t=0.100). <strong>The</strong> probable reason might be due to<br />

Distance from the center <strong>of</strong> respondents’ <strong>in</strong>formal market users are low with formal market users<br />

upon access to market.<br />

58


4.7. Analysis <strong>of</strong> Determ<strong>in</strong>ants <strong>of</strong> MAIPCLP by pastoralists<br />

This section reports results <strong>of</strong> the analyses <strong>of</strong> determ<strong>in</strong>ants <strong>of</strong> market access <strong>in</strong> pastoral<br />

community livestock production <strong>in</strong> the study area. <strong>The</strong> significant explanatory variables <strong>of</strong> the<br />

selected <strong>in</strong>dependent variables were put <strong>in</strong> to logit model to identify those factors affect<strong>in</strong>g<br />

market accesses livestock production and analyses <strong>of</strong> multiple regression determ<strong>in</strong>ants <strong>of</strong> yearly<br />

sales (<strong>in</strong>come) by market access. <strong>The</strong> important personal, economic, situational, socio-cultural,<br />

psychological, and communication factors were discussed <strong>in</strong> details.<br />

Table 12, the maximum likelihood estimates and the marg<strong>in</strong>al effects <strong>of</strong> logit model output are<br />

presented.<br />

No Variable logit<br />

Marg<strong>in</strong>al effect<br />

name Coefficie Z=value P>|z| Z=valu P>|z| X/coefficient/<br />

nt<br />

e<br />

1 age .0374 1.55 (0.120) 1.56 (0.118) 38.7698<br />

2 edulevel -.984 -2.00 0.046*** -2.13 0.033*** 1.55556<br />

3 acmo -.918 -1.01 (0.313) -0.99 (0.323) 1.15079<br />

4 sopa -.986 -2.10 0.036*** -1.88 (0.061) 1.72222<br />

5 Wealth -.016 -2.62 0.009*** -2.54 0.011*** 64.5397<br />

6 <strong>in</strong>shbe 2.061 3.70 0.000 *** 2.95 0.003*** 1.53175<br />

7 mameexp -.484 -0.83 (0.407) -0.83 (0.406) 1.43651<br />

8 transfacility .554 0.73 (0.464) 0.63 (0.526) .15873<br />

9 difrma -.039 -1.29 (0.196) -1.28 (0.202) 20.3333<br />

10 difrce -.065 -2.26 0.024*** -2.22 0.027*** 22.619<br />

Source: Computed from survey data, 2009 ***5% level <strong>of</strong> significant **10% level <strong>of</strong> significant<br />

As presented Table 12, the probability <strong>of</strong> market access for the marg<strong>in</strong>al effect is .07027043<br />

when all explanatory variables are fixed at their mean values. And, the marg<strong>in</strong>al effect <strong>of</strong> change<br />

<strong>in</strong> market access with respect dy/dx are .00244, -.06430, -.0600, -.0644, -.0010, .1347, -.0316,<br />

.0428, -.0025 and .00426 respectively. But, only variables education, wealth, <strong>in</strong>formation shar<strong>in</strong>g<br />

behavior, distance from the center are statistically significance <strong>in</strong> the context <strong>of</strong> marg<strong>in</strong>al effect<br />

59


while age, achievement <strong>of</strong> motivation, social participation, mass media exposure, distance from<br />

the market, transportation facility is not significant.<br />

A positive estimated coefficient <strong>in</strong> the model implies more market access livestock production<br />

with <strong>in</strong>creased <strong>in</strong> the value <strong>of</strong> the explanatory variable. Whereas negative estimated coefficient <strong>in</strong><br />

the model implies less <strong>in</strong>formal market access livestock production with <strong>in</strong>crease <strong>in</strong> the value <strong>of</strong><br />

the explanatory variable. <strong>The</strong> marg<strong>in</strong>al values provide the impacts that a unit changes <strong>in</strong> the<br />

<strong>in</strong>dividual <strong>in</strong>dependent variables have on different levels <strong>of</strong> market access livestock production<br />

when all other variables are held at their means.<br />

<strong>The</strong> probability <strong>of</strong> market access for the logit model when all explanatory variables are<br />

positive Coefficient 0.374, 2.061 and 0.554 age, <strong>in</strong>formation shar<strong>in</strong>g behavior and transportation<br />

facility are respectively, the results if the variables age, <strong>in</strong>formation shar<strong>in</strong>g behavior and<br />

transportation facility <strong>in</strong>creases by one unit, market access(formal and <strong>in</strong>formal ) <strong>in</strong>creasers by<br />

0.374, 2.061 and 0.554 unit respectively. <strong>The</strong> Coefficient -.984, -.918, -986, -.016, -.484, -0.039<br />

and -.065 educational level, achievement <strong>of</strong> motivation, social participation, wealth, mass media<br />

exposure, distance from the market and distance from the center respectively, the results if the<br />

variables educational level, achievement <strong>of</strong> motivation, social participation, wealth, mass media<br />

exposure, distance from the market and distance from the center <strong>in</strong>creases by one unit<br />

respectively, market access (more <strong>in</strong>formal markets) decreases by-.0702, -.3702, -.3498, -.005,<br />

and -0.353 unit respectively, this means <strong>in</strong>formal market users shifts from formal market.<br />

<strong>The</strong> marg<strong>in</strong>al effects <strong>of</strong> <strong>in</strong>formation shar<strong>in</strong>g behavior were found to be statistically positive<br />

significant. <strong>The</strong> marg<strong>in</strong>al effect <strong>of</strong> level <strong>of</strong> education, wealth and distance from the center were<br />

found to be statistically negatively significant. Age, Achievement <strong>of</strong> motivation, social<br />

participation, mass media exposure, distance from the market, transportation facility were found<br />

to be statistically no significant.<br />

<strong>The</strong> logit <strong>of</strong> <strong>in</strong>formation shar<strong>in</strong>g behavior are statistically significant as the probability p>/t/ is<br />

less than 0.05, which is 5% level <strong>of</strong> statistically positive significant. <strong>The</strong> logit <strong>of</strong> level <strong>of</strong><br />

education, wealth, social participation distance from the center, were found to be statistically<br />

negatively significant. Age, Achievement <strong>of</strong> motivation, mass media exposure, distance from the<br />

market, transportation facility were found to be statistically no significant.<br />

60


<strong>The</strong> logit <strong>of</strong> <strong>in</strong>formation shar<strong>in</strong>g behavior are statistically significant as the probability p>/t/ is<br />

less than 0.05, which is 5% level <strong>of</strong> statistically positive significant. <strong>The</strong> logit <strong>of</strong> level <strong>of</strong><br />

education, wealth, social participation distance from the center, were found to be statistically<br />

negatively significant. Age, Achievement <strong>of</strong> motivation, mass media exposure, distance from the<br />

market, transportation facility were found to be statistically no significant.<br />

Level <strong>of</strong> education (EDULEVEL): education level has positive relation with farm<br />

<strong>in</strong>formation utilization. Tesfaye et al., (2001) which have reported that education had positive<br />

and significant relationship with adoption. <strong>The</strong> model output that educational level significant<br />

and negative impact on <strong>in</strong>formal market access livestock production at less than 5% level <strong>of</strong><br />

significance. <strong>The</strong> respondents were illiterate, read and write, primary school, secondary school<br />

and college and above were 62.70%, 25.40%, 6.35% and 3.97% 1.59%, respectively. <strong>The</strong> model<br />

result implies that, <strong>in</strong>dicates that there is high illiteracy rate among the household respondent.<br />

<strong>The</strong> study confirms that the low level <strong>of</strong> education and high illiteracy rate among pastoralists <strong>of</strong><br />

the country contribute to low legal market access <strong>in</strong> pastoral community livestock production.<br />

Social participation (SOPA): A study conducted by Yared (2006) showed that <strong>in</strong>terpersonal<br />

communication is the ma<strong>in</strong> medium to access to <strong>in</strong>formation with neighbors, friends and<br />

relatives, other pastoralists, worda adm<strong>in</strong>istration, extension, agents, NGOs, researcher tra<strong>in</strong><strong>in</strong>gs,<br />

demonstration and field day etc. the model output that social participation significant and<br />

negative impact on <strong>in</strong>formal market access livestock production at less than 5% level <strong>of</strong><br />

significance. Social participation <strong>of</strong> sample household respondents <strong>of</strong> high, low and medium,<br />

market access users category is 12.7%, 23.81% and 63.49% were respectively. Sample <strong>of</strong><br />

respondent <strong>in</strong> market access <strong>in</strong> pastoral community livestock production users category based on<br />

their medium social participation <strong>of</strong> the sample respondents. <strong>The</strong> probable social participation is<br />

significant to legal market access livestock production.<br />

Wealth (wealth): on the contrary Legesse, (1992) and Degnet et al., (2000) reported that<br />

negative relationship between livestock production number and utilization <strong>of</strong> agricultural<br />

technologies and livestock production quality. <strong>The</strong> model output that wealth significant and<br />

negative impact on <strong>in</strong>formal market access livestock production at less than 5% level <strong>of</strong><br />

significance.<br />

61


Information shar<strong>in</strong>g behavior (INSHBE): <strong>The</strong> <strong>in</strong>dependent variable <strong>in</strong>formation shar<strong>in</strong>g<br />

behavior has <strong>in</strong>fluenced <strong>in</strong>formal market access positively and significantly at less than 5% level<br />

<strong>of</strong> significance. <strong>The</strong> model result implies that those pastoralists, who are shar<strong>in</strong>g <strong>in</strong>formation<br />

with others, have higher probability <strong>of</strong> capitaliz<strong>in</strong>g <strong>in</strong>formation that they have and also get more<br />

opportunity to obta<strong>in</strong> new <strong>in</strong>formation than those who were not shar<strong>in</strong>g <strong>in</strong>formation to others.<br />

Information shar<strong>in</strong>g behavior the extent to which sample household respondents shared the<br />

<strong>in</strong>formation with others which <strong>in</strong>cludes; family members, neighbors, relatives and the likes<br />

(Dogoi 1990). Study conducted by Asres (2005) shows that shar<strong>in</strong>g <strong>of</strong> available <strong>in</strong>formation was<br />

significant and positive relation with access to development communication. <strong>The</strong> will<strong>in</strong>gness to<br />

share available <strong>in</strong>formation <strong>of</strong> sample respondents <strong>of</strong> low, medium and high market access <strong>in</strong><br />

pastoral community livestock production user’s category is 53.17%, 40.48% and 6.35%<br />

respectively. Among sample household respondents <strong>in</strong> market access <strong>in</strong> pastoral community<br />

livestock production users category is based on their will<strong>in</strong>gness to share available <strong>in</strong>formation<br />

among <strong>Pastoral</strong>ists. <strong>The</strong> reason might be due the less will<strong>in</strong>gness <strong>of</strong> shar<strong>in</strong>g available<br />

<strong>in</strong>formation among the majority <strong>of</strong> the sample respondents.<br />

Distance from center (DISCIV): As hypothesized distance from center is negatively and<br />

significantly <strong>in</strong>fluence market access <strong>in</strong> pastoral community livestock production at less than 5%<br />

level <strong>of</strong> significance. <strong>The</strong> model output implies that as a distance from the center <strong>in</strong>creases<br />

market access livestock production decl<strong>in</strong>es. In another word, the implication <strong>of</strong> this negative<br />

relationship is that if the distance between pastoralists’ liv<strong>in</strong>g home and the center is longer, the<br />

pastoralists will be discouraged to use market access livestock production. This result is <strong>in</strong><br />

consistent with the f<strong>in</strong>d<strong>in</strong>g <strong>of</strong> Legesse (2001). <strong>The</strong> analysis shows that there among sample<br />

respondent <strong>in</strong> market access <strong>in</strong> pastoral community livestock production users on far from<br />

distance from the center the <strong>in</strong>formal market is decreases on the study area.<br />

62


4.8. Analysis <strong>of</strong> Determ<strong>in</strong>ants <strong>of</strong> yearly sales (<strong>in</strong>come) by pastoralists<br />

<strong>The</strong> multiple regression model output are yearly sale (<strong>in</strong>come) that directly related to market<br />

access <strong>in</strong> the study area.<br />

Table 13, the multiple regression effects <strong>of</strong> multicoll<strong>in</strong>earity output are yearly sale (<strong>in</strong>come)<br />

presented.<br />

No Variable name Multiple regression/<br />

Coefficient t P<br />

1 lnfsize .1514 0.82 (0.415)<br />

2 lnage -.0702 -0.37 (0.714)<br />

3 lnedulevel -.3702 -2.04 0.043***<br />

4 Wealth .0042 2.76 0.007***<br />

5 maccess -.3498 -1.61 0.100**<br />

6 <strong>in</strong>shbe .0517 0.47 (0.640)<br />

7 difrma -.005 -.78 (0.437)<br />

8 Knlipr,r -0.353 -0.35 (0.727)<br />

Source: Computed from survey data, 2009 ***5% level <strong>of</strong> significant **10% level <strong>of</strong> significant<br />

As the result Table 13, From the multiple regression yearly sales(<strong>in</strong>come) tests wear as<br />

Accord<strong>in</strong>g to the multicoll<strong>in</strong>earity, wealth are statistically positive significant and educational<br />

level negatively significant as the probability p>/t/ is less than 0.05, which is 5% level <strong>of</strong><br />

significance. <strong>Market</strong> access is statistically negatively significant as the probability p>/t/ is less<br />

than 0.1, which is 10% level <strong>of</strong> significance. On the same note F-test shows that the goodness <strong>of</strong><br />

fit <strong>of</strong> the model is strong as we measure statistically.<br />

<strong>The</strong> probability <strong>of</strong> Yearly sales (<strong>in</strong>come) for the l<strong>in</strong>er regression when all explanatory<br />

variables are Coefficient .1514, .0042 and .0517 family size, wealth and <strong>in</strong>formation shar<strong>in</strong>g<br />

behavior respectively, the results if the variables family size, wealth and <strong>in</strong>formation shar<strong>in</strong>g<br />

behavior <strong>in</strong>creases by one percent, yearly sale by.1514, .0042 and .0517, percent <strong>in</strong>creasers<br />

respectively. <strong>The</strong> Coefficient -.0702, -.3702, -.3498, -.005, and -0.353 age <strong>of</strong> the respondent,<br />

educational level market access distance from the market knowledge <strong>of</strong> livestock production<br />

respectively, the results if the variables age <strong>of</strong> the respondent, educational level market access<br />

63


distance from the market knowledge <strong>of</strong> livestock production package <strong>in</strong>creases by one percent,<br />

yearly sale decreases by-.0702, -.3702, -.3498, -.005, and -0.353 percent respectively.<br />

4.9. <strong>The</strong> extent <strong>of</strong> <strong>Market</strong> <strong>Access</strong> <strong>in</strong> pastoral community livestock production <strong>in</strong>formation<br />

shar<strong>in</strong>g <strong>in</strong> the study area<br />

This section covers the <strong>in</strong>formation source and extent <strong>of</strong> <strong>Market</strong> <strong>Access</strong> <strong>in</strong> pastoral community<br />

livestock production <strong>in</strong>formation shar<strong>in</strong>g among pastoralists <strong>in</strong> study area. Information sources<br />

were analyzed to assess the strengths and weaknesses <strong>of</strong> <strong>in</strong>formation source and extent <strong>of</strong><br />

<strong>in</strong>formation shar<strong>in</strong>g among pastoralists. <strong>The</strong> extent <strong>of</strong> <strong>in</strong>formation shar<strong>in</strong>g among pastoralists<br />

could <strong>in</strong>vestigate from many angles and characteristics, but <strong>in</strong> this subsection, it is only from<br />

pastoralist’s market <strong>in</strong>formation source po<strong>in</strong>t <strong>of</strong> view particularly on market access <strong>in</strong>formation.<br />

Distribution <strong>of</strong> respondents on the basis <strong>of</strong> <strong>Market</strong> <strong>Access</strong> <strong>in</strong> pastoral community livestock<br />

production <strong>in</strong>formation source is described <strong>in</strong> Table 14.<br />

Table 14. Association between different distance from the <strong>in</strong>formation source <strong>of</strong> respondent and<br />

their MAIPCLP (n=126)<br />

No Information source Information source<br />

<strong>Market</strong> access Never Sometimes Always<br />

Rank<br />

livestock production (1)<br />

(2)<br />

(3)<br />

users category Freque % Frequenc % Frequenc %<br />

ncy<br />

y<br />

y<br />

1 Neighbors or friends 6 4.76 61 48.41 59 46.83 1<br />

2 Other <strong>Pastoral</strong>ists 22 17.46 56 44.44 48 38.10 2<br />

3 Religious organizations 67 53.60 41 32.80 17 13.60 3<br />

4 Rural radio programs 91 72.22 33 26.19 2 1.59 4<br />

5 WARDO 93 73.81 33 26.19 0 0 4<br />

6 Kebele adm<strong>in</strong>istration 91 72.22 35 27.78 0 0 5<br />

7 Traders 94 74.60 26 20.63 6 4.76 6<br />

8 Tra<strong>in</strong><strong>in</strong>gdemonstration 103 81.75 23 18.25 0 0 7<br />

and field days<br />

9 NGOs/pcdp 105 83.33 21 16.67 0 0 8<br />

64


10 <strong>Pastoral</strong> Days 108<br />

18 14.29 0 0 9<br />

85.71<br />

11 Leaflets and folders 108 85.71 18 14.29 0 0 9<br />

12 Brokers 119 94.44 7 5.56 0 0 10<br />

13 Development agents 115 91.27 11 8.73 0 0 11<br />

14 pastoralist’s<br />

116 92.06 10 7.94 0 0 12<br />

cooperatives<br />

Source: Computed from survey data, 2009 % is percentage<br />

<strong>The</strong> total number <strong>of</strong> <strong>in</strong>formation sources assessed <strong>in</strong> the area was 14. As it is stated <strong>in</strong> Table<br />

14, neighbors or friends, Other <strong>Pastoral</strong>ists are the major source <strong>of</strong> <strong>in</strong>formation among<br />

pastoralists <strong>in</strong> their order <strong>of</strong> importance. Upon group discussion, the participants disclosed that<br />

market development agent appears on various meet<strong>in</strong>g conducted for various purpose at different<br />

times and use the occasion for pass<strong>in</strong>g their message related to different pastoral practices and<br />

livestock diseases control. <strong>The</strong> survey result showed that the major sources <strong>of</strong> <strong>in</strong>formation are<br />

religious organizations, rural radio programs, <strong>Woreda</strong> pastoraldevelopment <strong>of</strong>fice, Kebele<br />

adm<strong>in</strong>istration, and Traders, Tra<strong>in</strong><strong>in</strong>g, demonstration and field days, NGOs/pcdp, Leaflets and<br />

folders, Brokers, Development agents, and pastoralist’s cooperatives respectively. <strong>The</strong> least used<br />

Information sources were Brokers, Development agents, and pastoralist’s cooperatives.<br />

In order to assess extent <strong>of</strong> <strong>in</strong>formation shar<strong>in</strong>g among market access pastoralists household<br />

respondents were <strong>in</strong>terviews with which they share market access <strong>in</strong> pastoral community<br />

livestock production that obta<strong>in</strong>ed from the above stated sources <strong>of</strong> <strong>in</strong>formation. <strong>The</strong> f<strong>in</strong>d<strong>in</strong>g <strong>of</strong><br />

the analysis showed generally there extent <strong>of</strong> formal market access livestock production is low.<br />

However, that there is high extent <strong>of</strong> <strong>in</strong>formal market access <strong>in</strong> pastoral community livestock<br />

production neighbors and friends, Other <strong>Pastoral</strong>ists, Religious organizations and rural radio<br />

programs upon their <strong>in</strong>teraction at various occasions (Table 14).<br />

65


4.9.1 Group discussion <strong>Market</strong> access livestock production <strong>in</strong>formation shar<strong>in</strong>g<br />

Upon group discussion, the participants <strong>of</strong> group discussion were requested to identify and<br />

rank with whom they share market <strong>in</strong>formation and rank accord<strong>in</strong>gly. <strong>The</strong> group members were<br />

exhaustively identified with whom they share market <strong>in</strong>formation is shared and ranked after<br />

thorough discussion among themselves. <strong>The</strong> result <strong>of</strong> group discussion was summarized and<br />

presented <strong>in</strong> Table 15.<br />

Table 15. Group discussion rank<strong>in</strong>g level <strong>of</strong> <strong>Market</strong> access livestock production <strong>in</strong>formation<br />

shar<strong>in</strong>g<br />

No Information shared among actors Group rank<br />

1 Neighbor and friend 1 st<br />

2 Other <strong>Pastoral</strong>ists 2 nd<br />

3 Religious(cultural met<strong>in</strong>g’s) organizations 3 rd<br />

Source: Group discussion <strong>of</strong> kibish town Adm<strong>in</strong>istration, 2009<br />

As it can be noted from Table 15, neighbors and friends, Other <strong>Pastoral</strong>ists and Religious<br />

organizations are the ma<strong>in</strong> actors with whom pastoralists share market access <strong>in</strong> pastoral<br />

community livestock production among themselves. Both structured <strong>in</strong>terview and focus group<br />

discussion results <strong>in</strong>dicates that there is high level <strong>of</strong> pastoralists to pastoralists <strong>in</strong>formation<br />

shar<strong>in</strong>g the study area.<br />

4.9.2 Group discussion challenges <strong>of</strong> formal <strong>Market</strong> access livestock <strong>in</strong> the study area<br />

Upon group discussion, the participants <strong>of</strong> group discussion were requested to identify and<br />

rank challenges <strong>of</strong> formal <strong>Market</strong> access livestock <strong>in</strong> the study area the participants are rank<br />

accord<strong>in</strong>gly. <strong>The</strong> group members were exhaustively identified the mean reason <strong>of</strong> group<br />

discussion was highly challenges formal market access <strong>in</strong> the study area. <strong>The</strong> result <strong>of</strong> group<br />

discussion was summarized and presented <strong>in</strong> Table 18.<br />

66


Table 16. Group discussion challenges <strong>of</strong> formal <strong>Market</strong> access livestock <strong>in</strong> the study area<br />

Challenges Reasons rank<br />

1 Security<br />

problem<br />

- <strong>Pastoral</strong>ists has clash encobe and other ware materials to<br />

keep and protect with other parties rob<strong>in</strong>/Tift with <strong>in</strong> ethnic<br />

groups across boundary<br />

1<br />

- Legal Traders needed <strong>in</strong> security<br />

- illegal Traders needed cheap or low cot purchase livestock<br />

production to pastoralists<br />

- pastoralists Crash<strong>in</strong>g with other ethnic groups like kill<strong>in</strong>g<br />

other parties don’t move free with market<strong>in</strong>g and town areas<br />

- <strong>Pastoral</strong>ists needed more livestock products, therefore it<br />

needed rob<strong>in</strong>/Tift other groups and across boundary. So don’t<br />

move free with livestock market<strong>in</strong>g area and town areas<br />

2 Culture - For marred purpose it needs much more livestock product and<br />

cash <strong>in</strong> birr so don’t need sale the livestock products and it<br />

needed rob<strong>in</strong>/Tift other groups and across boundary. So don’t<br />

move free with livestock market<strong>in</strong>g and town areas<br />

3 <strong>Market</strong> - <strong>Pastoral</strong>ists lived <strong>in</strong> diversified and high market Distance<br />

Distance from from residence are<br />

residence are - To seek food on livestock products<br />

- Lack <strong>of</strong> Transportation access<br />

4 Loss <strong>in</strong>tention - less <strong>in</strong>tension <strong>in</strong>frastructure <strong>in</strong> the study area<br />

for market - loss awareness creation the livestock market<br />

access - no market cha<strong>in</strong> by pastoralist and formal traders and<br />

governmental exporters<br />

and nongovernmental<br />

- Less <strong>in</strong>tension cultural mired and war material adm<strong>in</strong>istration<br />

security problems<br />

organizations - -don’t has legal market access days <strong>in</strong> the woreda center<br />

Source: Group discussion <strong>of</strong> kibish town Adm<strong>in</strong>istration, 2009<br />

2<br />

3<br />

4<br />

67


As it can be noted from Table 16, the participants <strong>of</strong> group discussion were challenges <strong>of</strong><br />

formal <strong>Market</strong> access livestock <strong>in</strong> the study area pastoralists share market access <strong>in</strong> pastoral<br />

community livestock production among themselves. Structured <strong>in</strong>terview, observations and<br />

focus group discussion,<br />

security challenges: - it is highly affected market access <strong>in</strong> the study area <strong>Pastoral</strong>ists has<br />

excess ware materials to keep and protect with other parties rob<strong>in</strong>/Tift with <strong>in</strong> ethnic groups<br />

across boundary, Legal Traders needed <strong>in</strong> security, illegal Traders needed cheap or low cost<br />

purchase livestock production to pastoralists, Crash<strong>in</strong>g with other ethnic groups like kill<strong>in</strong>g other<br />

parties don’t move free with market<strong>in</strong>g and town areas, <strong>Pastoral</strong>ists needed more livestock<br />

products, therefore it needed rob<strong>in</strong>/Tift other groups and across boundary. So don’t move free<br />

with livestock market<strong>in</strong>g area and town areas.<br />

Cultural challenges: - it has a different cultural challenge <strong>in</strong> the study area. For marred purpose<br />

it needs much more livestock product, clash encobe and cash <strong>in</strong> birr some pastoralists, so don’t<br />

need sale the livestock products and it needed rob<strong>in</strong>/Tift other groups and across boundary. So<br />

don’t move free with livestock market<strong>in</strong>g and town areas.<br />

<strong>Market</strong> Distance from residence area <strong>Pastoral</strong>ists lived <strong>in</strong> diversified and high market Distance<br />

from residence area and to seek food on livestock products.<br />

Less <strong>in</strong>tention for market access governmental and non-governmental organizations; <strong>in</strong> the<br />

study area the government and no governmental organizations more focuses build pastoral<br />

villages, <strong>in</strong>stitution services and collect<strong>in</strong>g pastoralists. So less <strong>in</strong>tension <strong>in</strong>frastructure <strong>in</strong> the<br />

study area, loss awareness creation the livestock market, no market cha<strong>in</strong> by pastoralist and<br />

formal traders and exporters, Less <strong>in</strong>tension cultural mired and war material adm<strong>in</strong>istration<br />

security problems and don’t has legal market access days <strong>in</strong> the woreda center.<br />

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CHAPTER FIVE<br />

5. CONCLUSION AND RECOMMENDATION<br />

5.1 Conclusion<br />

This study was conducted <strong>in</strong> <strong>Surma</strong> <strong>Woreda</strong>, Benci-maji <strong>zone</strong> <strong>of</strong> southwest SNNPRG. So far,<br />

there is no study conducted <strong>in</strong> Benci-maji <strong>zone</strong> on market access <strong>in</strong> pastoral community <strong>in</strong><br />

general and market access livestock production <strong>in</strong> particular. <strong>The</strong>refore, this study has tried to<br />

look <strong>in</strong>to the extent <strong>of</strong> market access <strong>in</strong> pastoral community livestock production <strong>of</strong> the study<br />

area and determ<strong>in</strong>ants <strong>of</strong> market access users by pastoralists <strong>in</strong> the area. Multi stage sampl<strong>in</strong>g<br />

procedure was followed to select kebele adm<strong>in</strong>istration and household respondents for the study.<br />

<strong>The</strong> kebele adm<strong>in</strong>istration were stratified <strong>in</strong>to three strata (closest, slightly far and remote) based<br />

on their distance from the <strong>Woreda</strong> headquarter. Accord<strong>in</strong>gly, five kebele adm<strong>in</strong>istrations were<br />

selected from the three strata us<strong>in</strong>g random sampl<strong>in</strong>g techniques. F<strong>in</strong>ally 126 HH respondents<br />

were <strong>in</strong>cluded <strong>in</strong>to the study.<br />

To address the objective <strong>of</strong> the study, both quantitative and qualitative methodologies were<br />

used <strong>in</strong> the study. <strong>The</strong> primary data necessary for quantitative study were collected us<strong>in</strong>g pretested<br />

semi structured <strong>in</strong>terview schedule from 126 sample household respondents which are the<br />

units <strong>of</strong> observation <strong>of</strong> the study. Qualitative data were collected through field visit, personal<br />

observations, focused group discussion, <strong>in</strong>formal <strong>in</strong>terview <strong>of</strong> key <strong>in</strong>formants and kebele<br />

adm<strong>in</strong>istration leaders. Secondary data were collected from the worda adm<strong>in</strong>istration pastoral<br />

development <strong>of</strong>fice and fish and animal development <strong>of</strong>fice and various sources to supplement<br />

the data obta<strong>in</strong>ed from the survey.<br />

Different analytical techniques were applied to analyze collected data. Descriptive statistics<br />

such percentage frequency and rank<strong>in</strong>g was used to identify; source <strong>of</strong> <strong>in</strong>formation, perceived<br />

importance and perceived value <strong>of</strong> market access <strong>in</strong>formation <strong>in</strong> the study area. Multiple<br />

regression, t-test and p-value test were to see association between explanatory variables and<br />

market accesses livestock production. Pearson Moment correlation and were also to see the<br />

relation and strength <strong>of</strong> explanatory variables with market access (the dependent variable). logit<br />

model is used to determ<strong>in</strong>e factors affect<strong>in</strong>g market access <strong>in</strong> pastoral community livestock<br />

production <strong>in</strong> the study area.<br />

69


<strong>The</strong> f<strong>in</strong>d<strong>in</strong>g <strong>of</strong> the survey shows that neighbor’s or friends, other pastoralists and religious<br />

organization are the major market access livestock production <strong>in</strong>formation sources for<br />

pastoralists <strong>of</strong> the study area. <strong>The</strong> survey result also revealed that, neighbor’s or friends other<br />

pastoralists and religious organization are the most important <strong>in</strong>formation sources market<br />

accesses livestock production practice <strong>in</strong> the study area. In the study area the government and no<br />

governmental organizations more focuses build pastoral villages and <strong>in</strong>stitution services and<br />

collect<strong>in</strong>g pastoralists, less <strong>in</strong>tention <strong>in</strong> the market access and market cha<strong>in</strong>.<br />

Product Moment correlation analysis between explanatory variable and market access by<br />

pastoralists shows that age <strong>of</strong> the respondent, <strong>in</strong>formation shar<strong>in</strong>g behavior, transportation<br />

facility <strong>of</strong> were noted to positively related to market access <strong>in</strong> pastoral community livestock<br />

production at various degree <strong>of</strong> strength. Whereas, achievement <strong>of</strong> motivation level education,<br />

social participation, mass media exposure, wealth, distance from market and distance from the<br />

<strong>Woreda</strong> headquarter/ center were negatively related to market access <strong>in</strong> pastoral community<br />

livestock production.<br />

Some factors considered as determ<strong>in</strong>ants <strong>of</strong> market access <strong>in</strong> pastoral community livestock<br />

production and entered <strong>in</strong>to logit regression model; such as level <strong>of</strong> education, wealth,<br />

<strong>in</strong>formation shar<strong>in</strong>g behavior, social participation and distance from the <strong>Woreda</strong> headquarter/<br />

center and were found p-value 5% <strong>of</strong> significant impact market access <strong>in</strong> pastoral community<br />

livestock production and transportation facility, age, achievement <strong>of</strong> motivation, mass media<br />

exposure and Distance from the market are no significant.<br />

70


5.2 Recommendations<br />

All development policy and program <strong>in</strong>terventions livelihood self-reliance through <strong>in</strong>creased<br />

livestock production and productivity <strong>of</strong> pastoralists <strong>in</strong> the study area need to consider livestock<br />

market access, how these market access is shared livestock production and what factor <strong>in</strong>fluence<br />

market users <strong>of</strong> available market access for the achievement <strong>of</strong> the anticipated susta<strong>in</strong>able<br />

development. Accord<strong>in</strong>gly, the follow<strong>in</strong>g recommendations are noteworthy to be considered<br />

promotion <strong>of</strong> efforts <strong>of</strong> the technologies to be productivity and accessibility <strong>of</strong> market.<br />

In the study area was high market challenges, mostly; security, culture, market distance, the<br />

governmental and non-governmental less <strong>in</strong>tention to market access livestock production.<br />

<strong>Livestock</strong> is an asset <strong>of</strong> <strong>in</strong> the study area, pastoralists need more legal and stable markets to ga<strong>in</strong><br />

maximum cot <strong>of</strong> livestock production. <strong>The</strong> market access <strong>in</strong> pastoral community livestock<br />

production governmental and non-governmental organizations more attention to pastoral <strong>in</strong>come<br />

and contribution <strong>of</strong> the sector to the economy.<br />

Information shar<strong>in</strong>g was found to exert significant impact on the probability <strong>of</strong> market access<br />

livestock production by pastoralists. This was due to the high prevail<strong>in</strong>g <strong>in</strong>formation source from<br />

neighbors, friends, relatives and others friends is easily available and has high perceived value by<br />

the pastoralists. Policy makers should give emphasis pastoralists to pastoralist’s flow <strong>of</strong><br />

<strong>in</strong>formation while promot<strong>in</strong>g new <strong>in</strong>novated technologies. Identify<strong>in</strong>g prevail<strong>in</strong>g social networks<br />

and <strong>in</strong>formal organizations <strong>in</strong> every community and utiliz<strong>in</strong>g them <strong>in</strong> dissem<strong>in</strong>ation assumes<br />

much importance.<br />

Social participation showed that <strong>in</strong>terpersonal communication is the ma<strong>in</strong> medium to access to<br />

<strong>in</strong>formation with neighbors, friends and relatives, other pastoralists, worda adm<strong>in</strong>istration,<br />

extension, agents, NGOs, researcher tra<strong>in</strong><strong>in</strong>gs, demonstration and field day. <strong>The</strong> market access <strong>in</strong><br />

pastoral community livestock production social participation is highly important market access<br />

livestock production.<br />

It was found that pastoralists who have more livestock production wealth have high<br />

probability <strong>of</strong> us<strong>in</strong>g market access than those who have lower pastoralist’s <strong>in</strong>come. <strong>The</strong>refore, <strong>in</strong><br />

order to bridge f<strong>in</strong>ancial shortage needed for food and security, purchase <strong>of</strong> agricultural <strong>in</strong>put for<br />

proper utilization <strong>of</strong> available market access governmental and non-governmental organization<br />

71


operat<strong>in</strong>g <strong>in</strong> the area need to facilitate long term and short term credit to resource poor<br />

pastoralists through establishment and strengthen<strong>in</strong>g <strong>of</strong> rural or micr<strong>of</strong><strong>in</strong>ance <strong>in</strong>stitutions and<br />

open livestock market days.<br />

Education level <strong>of</strong> pastoralists and count<strong>in</strong>g for 62.70% <strong>of</strong> the study area was found to be very<br />

low <strong>of</strong> the respondents cannot read and write. As a result <strong>of</strong> high level <strong>of</strong> illiteracy among<br />

pastoralists <strong>of</strong> the study area they were not <strong>in</strong> a position to use pr<strong>in</strong>t media that would create<br />

opportunity <strong>of</strong> ga<strong>in</strong><strong>in</strong>g market access <strong>in</strong>formation. <strong>The</strong>refore, concerned government <strong>of</strong>fices and<br />

non-governmental organization operat<strong>in</strong>g <strong>in</strong> the area has to consider functional adult literacy<br />

program to improve the situation. Mass media play the greatest role <strong>in</strong> provision <strong>of</strong> <strong>in</strong>formation<br />

<strong>in</strong> shortest possible time over large area easily overcom<strong>in</strong>g geographical limitation hurdles.<br />

<strong>The</strong>refore, pastoral related broadcast through the national and local radio program has to give<br />

due consideration to provide pastoralists with relevant market access <strong>in</strong>formation timely and<br />

sufficiently.<br />

Distance from the head quarter or center found to exert negative impact on market access<br />

livestock production by pastoralists <strong>in</strong> study area. <strong>The</strong> longer the distance from head<br />

quarter/center and is distance from the market, the lower the probability <strong>of</strong> market access <strong>in</strong> the<br />

study area. <strong>The</strong>refore, <strong>in</strong> order to conducive environment for market access and <strong>in</strong>crease ability<br />

<strong>of</strong> <strong>in</strong>formed decision mak<strong>in</strong>g <strong>of</strong> technologies use by pastoralists, there is a need to make special<br />

emphasis to target these segments <strong>of</strong> the community by market development agents.<br />

72


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75


Appendix 1:- Sampl<strong>in</strong>g procedure<br />

22 kebele adm<strong>in</strong>istration <strong>of</strong> surma<br />

woreda<br />

Closet kebele<br />

Adm<strong>in</strong>istration<br />

N=5<br />

Slightly kebele<br />

Adm<strong>in</strong>istration<br />

N=9<br />

Remote kebele<br />

Adm<strong>in</strong>istration<br />

N=8<br />

Tuligit<br />

Haritga<br />

Bebus<strong>in</strong><br />

Moga<br />

Dishou<br />

NHHH<br />

NHH<br />

NHH<br />

NHH<br />

NHH<br />

477<br />

423<br />

153<br />

91<br />

63<br />

PSZ=48<br />

PSZ=43<br />

PSZ=16<br />

PSZ=9<br />

PSZ=7<br />

76


Appendix 2 Questionnaire<br />

SCHOOL OF GRAGUATE STUDIES<br />

DEPARTMENT OF ECONOMICS IN PROJECT PLANING AND MANAGEMENT<br />

<strong>Market</strong> <strong>Access</strong> <strong>in</strong> pastoral community livestock production <strong>in</strong> <strong>Case</strong> <strong>of</strong> <strong>Benchi</strong>-maji <strong>zone</strong> surma<br />

woreda SNNP Regional State<br />

General Instructions to Enumerators<br />

✓ Make brief <strong>in</strong>troduction to each pastoralists before start<strong>in</strong>g the <strong>in</strong>terview, get <strong>in</strong>troduced<br />

to the pastoralists, (greet them <strong>in</strong> the local way) get his or her name; tell them yours, the<br />

<strong>in</strong>stitution you are work<strong>in</strong>g for, and make clear the purpose and objective <strong>of</strong> the study.<br />

✓ Please ask each question clearly and patiently until the pastoral understands (gets your<br />

po<strong>in</strong>t).<br />

✓ Please fill up the questionnaire accord<strong>in</strong>g to the pastoralists reply (do not put your own<br />

op<strong>in</strong>ion).<br />

✓ Please do not try to use technical terms while discuss<strong>in</strong>g with pastoralists and do not<br />

forget to record the local unit.<br />

✓ Dur<strong>in</strong>g the process put the answer <strong>of</strong> each respondent both on the space provided and<br />

encircle <strong>in</strong> the choose<br />

Identification Number (code) __________<br />

Kebele Adm<strong>in</strong>istration _______________<br />

Name <strong>of</strong> enumerator_________________<br />

Date <strong>of</strong> <strong>in</strong>terview____________________<br />

I. PERSONAL FACTORS<br />

1. Name <strong>of</strong> the respondent _________________________<br />

2. Name <strong>of</strong> the household head_____________________<br />

3. Age <strong>of</strong> respondent ______________<br />

77


4. Marital status 1= S<strong>in</strong>gle 2= Married 3= Divorced 4=Widowed<br />

5. Education level 0= illiterate 1= Read & write 2=primary school (grade1-6)<br />

3= secondary school (grade 7-10) 4= College and above<br />

6. Household members (family size)___________________<br />

SN<br />

Relationship to the<br />

Age<br />

Gender<br />

Education level<br />

respondent(a)<br />

0: F 1: M<br />

R1 A1 S1 E1<br />

6.1<br />

6.2<br />

6.3<br />

6.4<br />

6.5<br />

6.5<br />

6.6<br />

6.7<br />

6.8<br />

6.9<br />

6.10<br />

(a) Relationship: 1: Husband 2: Son 3: Daughter 4: Relative 5: Raised 6: Other<br />

(b)Education level: 0= illiterate 1= read & write 2=primary school 3= secondary school<br />

78


II. ECONOMIC FACTOR<br />

7. Do you have livestock? 1= Yes 0= No ________________<br />

8. If yes, total livestock number owned ____________<br />

9. Do you sale <strong>in</strong> livestock last year? 1= yes 2= No<br />

10. If yes, number <strong>of</strong> livestock sale <strong>in</strong> market ____________<br />

11. Do you sale any livestock production out <strong>of</strong> the market last year? 1= yes ____ 2=No_______<br />

12. If yes, number <strong>of</strong> livestock sale out <strong>of</strong> the market __________<br />

13. Annual <strong>in</strong>come from market<strong>in</strong>g <strong>of</strong> livestock products (<strong>in</strong> birr), for 2016 (2008) year<br />

SN Income from livestock products activities<br />

Farm activities Amount Income sale (<br />

Unit Total Birr)<br />

13.1 F1 U1 T1 Is<br />

13.2 Sales <strong>of</strong> chicken<br />

13.3 Sales <strong>of</strong> eggs<br />

13.4 Sales <strong>of</strong> milk<br />

13.5 Sales <strong>of</strong> cheese<br />

13.6 Sales <strong>of</strong> butter<br />

13.7 Sales <strong>of</strong> hide & sk<strong>in</strong><br />

13.8 Sales <strong>of</strong> calves<br />

13.9 Sales <strong>of</strong> heifer<br />

13.10 Sales <strong>of</strong> oxen<br />

13.11 Sales <strong>of</strong> cow<br />

13.12 Sales <strong>of</strong> sheep<br />

13.13 Sales <strong>of</strong> goat<br />

13.14 Sales <strong>of</strong> camel<br />

13.15 Others, specify<br />

79


14. Do you get any credit <strong>in</strong>stitution <strong>in</strong> your area? 1) Yes 0) No<br />

15. If yes, which are those agencies?<br />

1= Bank 2= NGO 3= Micr<strong>of</strong><strong>in</strong>ance <strong>in</strong>stitute<br />

4 = Local money lender 5 = Service cooperatives 6 = Others (specify)<br />

16. Are you eligible to credit from any agency? 1) Yes 0) No<br />

20. Have you obta<strong>in</strong>ed credit for livestock production <strong>in</strong> the last five years? (Credit utilization) 1)<br />

Yes 0) No<br />

20.1 If yes, Please fill the follow<strong>in</strong>g table<br />

No Credit source Amount ( <strong>in</strong> birr) Purpose <strong>of</strong> use<br />

1<br />

2<br />

3<br />

4<br />

Purpose: 1) For purchas<strong>in</strong>g livestock foods, 2) For purchas<strong>in</strong>g improved synchronization, 3) For<br />

purchas<strong>in</strong>g productive livestock production, 4) all 5) For other purpose (Specify) ____________<br />

III. Communication variable<br />

21. Did you have any contact with market Development agent <strong>in</strong> your area? 1=Yes 0= No<br />

21.1 If yes, frequency <strong>of</strong> contact?<br />

Once <strong>in</strong> four week (4)<br />

Once <strong>in</strong> two months (3)<br />

Some time (2)<br />

Some times on meet<strong>in</strong>g (1)<br />

21.2 Do you want more contact? 1) Yes 0)No<br />

80


21.3 If no, why? 1= No DA nearby 2 = No need for service<br />

3 = others (specify)<br />

22. What types <strong>of</strong> service most <strong>of</strong> the times are you gett<strong>in</strong>g from market Development agents?<br />

(1)Technical support:___________<br />

(2) <strong>The</strong>oretical <strong>in</strong>formation:__________<br />

(3) Input Supply:__________<br />

(4) Experience shar<strong>in</strong>g:_____________<br />

(5) Others (specify)_____________________________<br />

(6)None<br />

23. What types <strong>of</strong> service most <strong>of</strong> the times are you search<strong>in</strong>g from market Development agent?<br />

Rank them:<br />

1=Mostly obta<strong>in</strong>ed 2= obta<strong>in</strong>ed 3=moderately obta<strong>in</strong>ed<br />

4=Somehow obta<strong>in</strong>ed 5=Least obta<strong>in</strong>ed<br />

1. Technical support:___________<br />

2. <strong>The</strong>oretical <strong>in</strong>formation:__________<br />

3. Input Supply:__________<br />

4. Experience shar<strong>in</strong>g:_____________<br />

5. Others (specify)_____________________________<br />

6. None<br />

81


24. How frequently do you have access to media for the last three years (Media exposure)?<br />

Mass media<br />

Frequency<br />

exposure<br />

Daily<br />

Once <strong>in</strong> a week<br />

Some times (1) Never (0)<br />

(3)<br />

(2)<br />

Radio<br />

Television<br />

News paper<br />

Posters<br />

Leaflets<br />

25. Which program do you listen to mostly? (Rank accord<strong>in</strong>g to their importance)<br />

Rank: 1=Most important 2=Important 3= moderately important 4=Somehow important 5=Least<br />

important<br />

<strong>Livestock</strong> market<strong>in</strong>g program ( )<br />

News program ( )<br />

Drama program ( )<br />

Music program ( )<br />

Others (specify) ______________ ( )<br />

26. Why first ranked program is the most important to you _____________________<br />

27. How far is your residence from the nearest market town or city? ______ Km, or ____ hours<br />

on foot walk. (Distance from center)<br />

Information seek<strong>in</strong>g behavior<br />

28 Do you believe that you have enough <strong>in</strong>formation on market access? 1) Yes 2) No 3) I don’t<br />

know<br />

28.1 If no, do you need market access new <strong>in</strong>formation? 1) Yes 2) No<br />

82


28.2 If yes:-How much market access new <strong>in</strong>formation you wish to get.<br />

Amount <strong>of</strong> new <strong>in</strong>formation wish to get: 0= No <strong>in</strong>formation 1= some <strong>in</strong>formation 2= All<br />

<strong>in</strong>formation<br />

28.3 How frequently you seek <strong>in</strong>formation: - Frequency <strong>of</strong> seek<strong>in</strong>g <strong>in</strong>formation: 1= Rarely<br />

2=sometimes 3= most frequently<br />

29. Out <strong>of</strong> the obta<strong>in</strong>ed <strong>in</strong>formation on market accesses, which are the types <strong>of</strong> <strong>in</strong>formation you<br />

have utilized <strong>in</strong> your livestock production dur<strong>in</strong>g last season. (Information utilization)<br />

29.1) Information utilization <strong>in</strong> current season<br />

SN Type <strong>of</strong> <strong>in</strong>formation Amount <strong>of</strong> <strong>in</strong>formation utilized<br />

1 synchronization<br />

2 <strong>Livestock</strong> food preparation<br />

3 <strong>Livestock</strong> market<strong>in</strong>g<br />

4 Disease control<br />

5<br />

Amount <strong>of</strong> <strong>in</strong>formation utilized:<br />

5) All <strong>in</strong>formation/most <strong>in</strong>tensively 4) some <strong>in</strong>formation/most <strong>in</strong>tensively<br />

3) Some <strong>in</strong>formation/less <strong>in</strong>tensively 2) some <strong>in</strong>formation/rarely 1) only some <strong>in</strong>formation/very<br />

rarely<br />

83


30. Information source and its use pattern:<br />

(Indicate how frequently you use the follow<strong>in</strong>g sources to get <strong>in</strong>formation on <strong>Market</strong> accesses<br />

livestock production)<br />

SN Information source Frequency <strong>of</strong> use<br />

Always<br />

(2)<br />

Sometimes<br />

(1)<br />

Never<br />

(0)<br />

1 MOA Office<br />

2 NGOs exist<strong>in</strong>g <strong>in</strong> the area<br />

3 <strong>Pastoral</strong>ists’ cooperatives<br />

4 Peasant associations<br />

5 Development Agents<br />

6 Neighbors/Friends<br />

7 Religious <strong>in</strong>stitutions<br />

8 Other <strong>Pastoral</strong>ists<br />

9 Brokers<br />

10 Tra<strong>in</strong><strong>in</strong>g, Demonstration &<br />

Field Days<br />

11 <strong>Pastoral</strong> Days<br />

12 Traders<br />

13 Rural radio program<br />

14 Others (specify)<br />

84


31. Perceived importance <strong>of</strong> the <strong>in</strong>formation source:<br />

(Indicate how you perceive the importance <strong>of</strong> the follow<strong>in</strong>g sources to get <strong>in</strong>formation on <strong>Market</strong><br />

accesses livestock production<br />

SN Information source Importance<br />

Very important<br />

(2)<br />

1 MOA Office<br />

2 NGOs exist<strong>in</strong>g <strong>in</strong> the area<br />

Somewhat<br />

important (1)<br />

Not important<br />

(0)<br />

3 <strong>Pastoral</strong>ists’ cooperatives<br />

4 Peasant associations<br />

5 Development Agents<br />

6 Neighbors/Friends<br />

7 Religious <strong>in</strong>stitutions<br />

8 Other <strong>Pastoral</strong>ists<br />

9 Brokers<br />

10 Tra<strong>in</strong><strong>in</strong>g, Demonstration &<br />

Field Days<br />

11 <strong>Pastoral</strong> Days<br />

12 Traders<br />

13 Rural radio program<br />

14 Others (specify)<br />

85


32. Closeness <strong>of</strong> <strong>in</strong>formation source:<br />

(Indicate how close to you the follow<strong>in</strong>g sources to get <strong>in</strong>formation on <strong>Market</strong> accesses livestock<br />

production)<br />

SN Information source Closeness<br />

Very close (2)<br />

Somewhat<br />

close (1)<br />

Far (0)<br />

Not close<br />

1 MOA Office<br />

2 NGOs exist<strong>in</strong>g <strong>in</strong> the area<br />

3 <strong>Pastoral</strong>ists’ cooperatives<br />

4 Peasant associations<br />

5 Development Agents<br />

6 Neighbors/Friends<br />

7 Religious <strong>in</strong>stitutions<br />

8 Other <strong>Pastoral</strong>ists<br />

9 Brokers<br />

10 Tra<strong>in</strong><strong>in</strong>g, Demonstration &<br />

Field Days<br />

11 <strong>Pastoral</strong> Days<br />

12 Traders<br />

13 Rural radio program<br />

14 Others (specify)<br />

86


33. Perceived value <strong>of</strong> <strong>in</strong>formation<br />

(Indicate how much valuable is the <strong>in</strong>formation from the follow<strong>in</strong>g sources)<br />

SN Information source Perceived value for <strong>in</strong>formation obta<strong>in</strong>ed<br />

Very valuable<br />

(2)<br />

Somewhat valuable<br />

(1)<br />

Not<br />

valuable (0)<br />

1 MOA Office<br />

2 NGOs exist<strong>in</strong>g <strong>in</strong> the area<br />

3 <strong>Pastoral</strong>ists’ cooperatives<br />

4 Peasant associations<br />

5 Development Agents<br />

6 Neighbors/Friends<br />

7 Religious <strong>in</strong>stitutions<br />

8 Other <strong>Pastoral</strong>ists<br />

9 Brokers<br />

10 Tra<strong>in</strong><strong>in</strong>g, Demonstration &<br />

Field Days<br />

11 <strong>Pastoral</strong> Days<br />

12 Traders<br />

13 Rural radio program<br />

14 Others (specify)<br />

87


IV. EXTENSION PARTICIPATION<br />

34. Have you ever participated <strong>in</strong> extension plann<strong>in</strong>g last year?<br />

1=Yes 0 =No<br />

34.1 If not, why?<br />

1. Not <strong>in</strong>vited to participate<br />

2. No <strong>in</strong>terest <strong>in</strong> the program<br />

3. Others specify__________________________________<br />

34.2 If yes, <strong>in</strong> what area <strong>of</strong> plann<strong>in</strong>g you have participated.<br />

1. Evaluation <strong>of</strong> the market accesses 2. Current situation analysis<br />

3. <strong>Market</strong> Problem identification 4. Sett<strong>in</strong>g alternative solution<br />

5. Sett<strong>in</strong>g plan 6. Others specify, ______________________________<br />

34. 3 If yes, what was your contribution <strong>in</strong> extension plann<strong>in</strong>g?<br />

1. Information supply<br />

2. Need identification<br />

3. Listener<br />

4. Others specify____________________<br />

34. Have you ever participated <strong>in</strong> extension tra<strong>in</strong><strong>in</strong>g last year?<br />

1=Yes 0=No<br />

35. Have you ever attended any pastoralists’ field day last year?<br />

1=Yes 0=No<br />

36.1. If not, why?<br />

88


1. Not <strong>in</strong>vited to participate<br />

2. No <strong>in</strong>terest <strong>in</strong> the program<br />

3. Others specify___________________<br />

V.SITUATIONAL FACTOR<br />

37. How far is your residence from the follow<strong>in</strong>g <strong>in</strong>stitutions? (Distance from center)<br />

SN Institutions In kilo meter In hour<br />

1 Town<br />

2 <strong>Market</strong><br />

3 Worda Head quarter (<br />

center)<br />

38. Do you have transportation facility <strong>in</strong> your area? 1) Yes 0) No<br />

38.1. If yes, 1) Public 2) Private 3) Trucks 4) lorry<br />

39. Do you have settle residence? 1) Yes 0) No<br />

40. How far is your livestock farm from your residence? In Kilo meter_______ <strong>in</strong> hour ______<br />

VI.SOCIO- CULTURAL FACTORS<br />

41. How frequently do you visit a nearby town or city? (Cosmo politeness)<br />

1. Daily (4)<br />

89


2. Most <strong>of</strong>ten (3)<br />

3. Once a week (2)<br />

4. Sometimes (1)<br />

5. Never (0)<br />

42. What is the purpose <strong>of</strong> the visit?<br />

1. Agricultural related like purchase/shopp<strong>in</strong>g/market<strong>in</strong>g (4)<br />

2. To visit friends/relatives (3)<br />

3. To get medical treatment (2)<br />

4. Enterta<strong>in</strong>ment (1)<br />

5 .Any other purpose (specify) _______purchase dr<strong>in</strong>k<strong>in</strong>g alcohol and bordi_________________<br />

43. Are you <strong>in</strong>volved <strong>in</strong> any activities <strong>of</strong> formal and <strong>in</strong>formal <strong>in</strong>stitutions/ Organizations <strong>in</strong> your<br />

area? (Social participation) 1= Yes 0= No<br />

43.1. If yes, type <strong>of</strong> <strong>in</strong>stitutions/ organizations and type <strong>of</strong> membership<br />

SN Organization/ <strong>in</strong>stitution Frequency <strong>of</strong><br />

participation<br />

43.1.1 Parent committee <strong>in</strong> villages /neighbor woreda<br />

43.1.2 <strong>Pastoral</strong> cooperatives<br />

43.1.3 Religious organizations (Mosque/ church)<br />

43.1.4 Informal associations (Idir, Ekub. Mahber<br />

43.1.5 Peasant association<br />

43.1.6 Women’s association<br />

43.1.7 HIV club<br />

43.1.8 Others (Specify)<br />

Frequency <strong>of</strong> participation: 0= Never 1= Sometimes 2= whenever conducted<br />

Office bearer<br />

/Member<br />

Office bear = 1 Member = 2<br />

90


44. With whom do you share the <strong>in</strong>formation you have about market accesses?<br />

(<strong>Livestock</strong> production)<br />

SN Type <strong>of</strong> <strong>in</strong>formation With whom do How frequently you share<br />

you share<br />

(can have more<br />

than one response)<br />

1 synchronization<br />

2 <strong>Livestock</strong> food preparation<br />

3 <strong>Livestock</strong> market<strong>in</strong>g<br />

4 Disease control<br />

5<br />

6<br />

1= Neighbors 2= Friends/ relatives 3= Husband 4= other family members 5= others<br />

0= Never 2= Sometime 3= Frequently<br />

VII.PSYCHOLOGICAL FACTORS<br />

45. What do you know about market accesses? (Knowledge test)<br />

45.1 What is the recommended market accesses and livestock production?<br />

1. ________________ 2. __________________<br />

45.2 How many times weed<strong>in</strong>g is required ___________________<br />

45.3 What are the tim<strong>in</strong>gs <strong>of</strong> livestock production food preparation? _________________<br />

45. 4 what are the recommended synchronization __________<br />

45. 5 recommended l for livestock disease control? ________________<br />

91


46. How is your feel<strong>in</strong>g to achieve someth<strong>in</strong>g? (Achievement motivation)<br />

46.1 How true it is to say that your<br />

True<br />

Undecided<br />

Not true<br />

efforts are directed towards<br />

(3)<br />

(2)<br />

(1)<br />

success<br />

46.2 How <strong>of</strong>ten do you seek<br />

Always<br />

Sometimes<br />

Never<br />

opportunity to excel?<br />

(3)<br />

(2)<br />

(1)<br />

46.3 Would you hesitate to<br />

Never<br />

Sometimes<br />

Always<br />

undertake someth<strong>in</strong>g difficult?<br />

(3)<br />

(2)<br />

(1)<br />

46.4 In how many occasions your<br />

Mostly<br />

Sometimes<br />

Never<br />

efforts lead to your failures<br />

(1)<br />

(2)<br />

(3<br />

46.5 In how many situations do<br />

Mostly<br />

Sometimes<br />

Never<br />

you th<strong>in</strong>k you will succeed <strong>in</strong><br />

(3)<br />

(2)<br />

(1)<br />

do<strong>in</strong>g as much as you can<br />

47. To what degree do you agree on the follow<strong>in</strong>g statements? (<strong>Pastoral</strong>ist’s attitude towards<br />

market accesses livestock production)<br />

SN Statements Measurement Scale<br />

47.1 To br<strong>in</strong>g about substantial<br />

Strongly<br />

Agree<br />

Undecided<br />

Disagree<br />

Strongly<br />

improvement <strong>in</strong> livestock<br />

agree (5)<br />

(4)<br />

(3)<br />

(2)<br />

Disagree (1)<br />

production, it is a necessary to use<br />

the recommended market accesses<br />

48.2 <strong>Market</strong> accesses’ will help to<br />

Strongly<br />

Agree<br />

Undecided<br />

Disagree<br />

Strongly<br />

improve my <strong>in</strong>come and livelihood.<br />

agree<br />

(4)<br />

(3)<br />

(2)<br />

Disagree<br />

(5)<br />

(1)<br />

49.3 <strong>Market</strong> accesses success is<br />

Strongly<br />

Agree<br />

Undecided<br />

Disagree<br />

Strongly<br />

uncerta<strong>in</strong> and hence us<strong>in</strong>g it is risky<br />

agree<br />

(2)<br />

(3)<br />

(4)<br />

Disagree<br />

(1)<br />

(5)<br />

50.4 Us<strong>in</strong>g <strong>Market</strong> accesses’ is the only<br />

Strongly<br />

Agree<br />

Undecided<br />

Disagree<br />

Strongly<br />

way to maximize productivity <strong>in</strong> the<br />

agree<br />

(4)<br />

(3)<br />

(2)<br />

Disagree<br />

92


available livestock production (5) (1)<br />

51.5 <strong>Market</strong> accesses is a wastage <strong>of</strong><br />

money and effort<br />

Strongly<br />

agree<br />

(1)<br />

Agree<br />

(4)<br />

Undecided<br />

(3)<br />

Disagree<br />

(2)<br />

Strongly<br />

Disagree<br />

(1)<br />

Group Discussion<br />

48. Discuses <strong>in</strong> market accesses <strong>in</strong> pastoral community livestock production.<br />

49. Discuses <strong>in</strong> market days.<br />

50. Discuses <strong>in</strong> <strong>in</strong>frastructure to contribute and barriers <strong>in</strong> market<strong>in</strong>g.<br />

51. Discuses <strong>in</strong> traders and brokers practice livestock production <strong>in</strong> pastoral community.<br />

52. Discuses <strong>in</strong> Major actors and their function <strong>in</strong> livestock <strong>Market</strong> ;-<br />

52.1 <strong>Pastoral</strong>ist-Broker-Small trader<br />

52.2 <strong>Pastoral</strong>ist-Collectors<br />

52.3 <strong>Pastoral</strong>ist-Brokers<br />

52.4 <strong>Pastoral</strong>ist-broker-<strong>in</strong>formal trader<br />

52.5 <strong>Pastoral</strong>ists-Other <strong>Pastoral</strong>ists<br />

52.6 <strong>Pastoral</strong>ists-Broker-Festival Consumer<br />

52.7 <strong>Pastoral</strong>ists-Broker-Butchers<br />

It helps to draw <strong>in</strong>formation about to which extent the <strong>Market</strong> accesses <strong>in</strong> pastoral community<br />

livestock production.<br />

93


Appendix3, logit, VIF, regression and marg<strong>in</strong>al effect, Goodness <strong>of</strong> fit <strong>of</strong> the model ( estat<br />

g<strong>of</strong>), estat vif (multicoll<strong>in</strong>earity), estat ovtest(omitted variable) the variables.<br />

Table 1, logit model regression <strong>in</strong> market access<br />

. logit maaccess age edulevel acmo sopa Wealth mameexp <strong>in</strong>shbe transfacility difrma<br />

> difrce<br />

Iteration 0: log likelihood = -58.351933<br />

Iteration 1: log likelihood = -44.485744<br />

Iteration 2: log likelihood = -40.023177<br />

Iteration 3: log likelihood = -39.925684<br />

Iteration 4: log likelihood = -39.925515<br />

Iteration 5: log likelihood = -39.925515<br />

Logistic regression Number <strong>of</strong> obs = 126<br />

LR chi2 (10) = 36.85<br />

Prob > chi2 = 0.0001<br />

Log likelihood = -39.925515 Pseudo R2 = 0.3158<br />

maaccess Coef. Std. Err. z P>z [95% Conf.<br />

Interval]<br />

age .0374558 .0241117 1.55 0.120 -.0098023 .084714<br />

edulevel -.9842543 .492733 -2.00 0.046 -1.949993 -.0185153<br />

acmo -.9187925 .9100673 -1.01 0.313 -2.702492 .8649065<br />

sopa -.9864133 .469539 -2.10 0.036 -1.906693 -.0661339<br />

Wealth -.0164497 .0062721 -2.62 0.009 -.0287428 -.0041566<br />

mameexp -.4842865 .5835225 -0.83 0.407 -1.62797 .6593966<br />

94


<strong>in</strong>shbe 2.061819 .55681 3.70 0.000 .9704914 3.153146<br />

Transfacility .5547259 .7579608 0.73 0.464 -.9308499 2.040302<br />

difrma -.039163 .0302929 -1.29 0.196 -.0985359 .0202099<br />

difrce -.0652878 .028842 -2.26 0.024 -.1218171 -.0087584<br />

_cons 1.036691 2.128783 0.49 0.626 -3.135646 5.209029<br />

Tabel 2, Marg<strong>in</strong>al effects after logit market access<br />

. mfx<br />

Marg<strong>in</strong>al effects after logit<br />

y = Pr(maaccess) (predict)<br />

= .07027043<br />

variable dy/dx Std. Err. z P>z [ 95% C.I. ] X<br />

age .0024471 .00156 1.56 0.118 -.000619 .005513 38.7698<br />

edulevel -.0643038 .03015 -2.13 0.033 -.123392 -.005216 1.55556<br />

acmo -.060027 .06074 -0.99 0.323 -.179067 .059013 1.15079<br />

Sopa -.0644448 .03435 -1.88 0.061 -.131761 .002871 1.72222<br />

Wealth -.001074 .00042 -2.54 0.011 -.001903 -.000246 64.5397<br />

mameexp -.0316396 .03806 -0.83 0.406 -.106232 .042952 1.43651<br />

<strong>in</strong>shbe .1347038 .04568 2.95 0.003 .045174 .224234 1.53175<br />

transf~y* .0428331 .06751 0.63 0.526 -.089489 .175155 .15873<br />

Difrma -.0025586 .002 -1.28 0.202 -.006485 .001368 20.3333<br />

difrce -.0042654 .00192 -2.22 0.027 -.008037 -.000494 22.619<br />

(*) dy/dx is for discrete change <strong>of</strong> dummy variable from 0 to 1<br />

95


Table 3, Post estimation tests for the logit model <strong>Market</strong> access<br />

Goodness <strong>of</strong> fit <strong>of</strong> the model<br />

. estat g<strong>of</strong><br />

Logistic model for maaccess, goodness-<strong>of</strong>-fit test<br />

Number <strong>of</strong> observations = 126<br />

Number <strong>of</strong> covariate patterns = 126<br />

Pearson chi2 (115) = 236.70<br />

Prob > chi2 = 0.0000<br />

Table 4, Variance Inflation Factor<br />

Variable VIF 1/VIF<br />

Difrma 1.34 0.744748<br />

edulevel 1.26 0.796711<br />

age 1.23 0.812665<br />

Inshbe 1.20 0.835211<br />

difrce 1.19 0.839776<br />

sopa 1.13 0.881173<br />

Acmo 1.10 0.906267<br />

transfacil~y 1.08 0.923137<br />

mameexp 1.07 0.932487<br />

Wealth 1.07 0.936442<br />

Mean VIF 1.17<br />

96


Table 5, Post estimation tests for the multiple regressions yearly sale (<strong>in</strong>come)<br />

estat vif (multicoll<strong>in</strong>earity)<br />

<strong>The</strong> result <strong>of</strong> the test has shown that there is no any multicoll<strong>in</strong>erity problem<br />

Variable VIF 1/VIF<br />

Wealth 1.49 0.669490<br />

lnfsize 1.45 0.691793<br />

lnedulevel 1.30 0.768882<br />

maaccess 1.30 0.769828<br />

lnage 1.20 0.834595<br />

difrma 1.18 0.844113<br />

<strong>in</strong>shbe 1.17 0.852894<br />

knlipr 1.13 0.888179<br />

Mean VIF 1.28<br />

Tabele 6 estat ovtest(omitted variable) yearly sale (<strong>in</strong>come)<br />

<strong>The</strong>re is no any omitted variable <strong>in</strong> the model<br />

Ramsey RESET test us<strong>in</strong>g powers <strong>of</strong> the fitted values <strong>of</strong> lnYsale<br />

Ho: model has no omitted variables<br />

F(3, 114) = 9.30<br />

Prob > F = 0.0000<br />

.<br />

97


Appendix 4 <strong>Market</strong> Canals and number <strong>of</strong> Formal and Informal trade Areas<br />

<strong>Maji</strong> tume<br />

<strong>Maji</strong> worda<br />

Formal<br />

<strong>Market</strong><br />

area<br />

Jeba worda<br />

jeba twon<br />

Koka surma<br />

worda koka<br />

kebele<br />

<strong>Maji</strong> tume<br />

<strong>Maji</strong> worda and<br />

other kebeles<br />

Jeba worda<br />

bero kebele<br />

jeba twon and<br />

other kebele<br />

Jeba worda berha<br />

kebele gabisa,<br />

shola, gesena, siyali<br />

Informal market<br />

Koka ,<br />

kibish and<br />

othre<br />

surma<br />

worda<br />

Knowber<strong>in</strong>g<br />

worda shasha<br />

ande guraferda<br />

Dima worda<br />

Dima town<br />

98

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