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Human Development in India - NCAER

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employment 41Box 4.1Education Does Not Always Lead to Greater Levels of Employment for WomenWomen’s Employment by Education andHousehold Income (Rural)Women’s Employment by Education andHousehold Income (Urban)In general one would expect education to lead to greater opportunities and wages and thereby <strong>in</strong>crease labour force participation forwomen. However, educated women may also come from higher <strong>in</strong>come families which would reduce the <strong>in</strong>centive for employment amongeducated women. Figures <strong>in</strong> this box plot levels of women’s work participation by their own education levels and qu<strong>in</strong>tiles of other family<strong>in</strong>come (that is, family <strong>in</strong>come m<strong>in</strong>us the woman’s own earn<strong>in</strong>gs from wage or salary employment).Higher levels of other family <strong>in</strong>come show the expected dis<strong>in</strong>centive for women’s labour force participation. But regardless of family<strong>in</strong>come, women’s work participation decl<strong>in</strong>es as their education <strong>in</strong>creases from none to 10th standard.Only school<strong>in</strong>g beyond 10th standard has any positive <strong>in</strong>centive for women’s work participation. The absence of skilled work preferredby educated women may be partially responsible for this negative relationship. The <strong>in</strong>crease <strong>in</strong> employment for women with highersecondary and college education, especially <strong>in</strong> urban areas, suggests that a greater availability of suitable white-collar and salariedemployment could lead to <strong>in</strong>creased female labour force participation.Source: IHDS 2004–5 data.hold differences, state differences do not follow state <strong>in</strong>comedifferences. Some affluent states like Himachal Pradeshhave high rates of women’s labour force participation whileothers like Punjab have very low rates. Some poor stateslike Chhattisgarh have high rates while others like Jharkhandhave low rates. Regional differences <strong>in</strong> women’s work participationappear to follow more historical and culturaltrajectories than differences <strong>in</strong> household wealth. Inferr<strong>in</strong>gmacro-level changes from the cross sectional householddifferences is especially hazardous, given these state differences.LEVEL OF EMPLOYMENTMost adult men are <strong>in</strong> the labour force and their well-be<strong>in</strong>gis governed by their ability to ga<strong>in</strong> year-round work. TablesA.4.2a and A.4.2b report the number of days worked dur<strong>in</strong>gthe preced<strong>in</strong>g year—whether family farm labour, other farmlabour, non-farm labour, salaried work, or time devoted tofamily bus<strong>in</strong>esses. 2The results pa<strong>in</strong>t an <strong>in</strong>terest<strong>in</strong>g picture. There is much lessemployment available <strong>in</strong> rural <strong>India</strong> than <strong>in</strong> urban areas. Theaverage rural man works only 206 days per year, comparedwith 282 days for the average urban man. The average ruralwork<strong>in</strong>g woman works 106 days per year, compared with180 days for the average urban work<strong>in</strong>g woman.Table A.4.2a reports differences <strong>in</strong> days of employmentby educational and social characteristics. Although men’semployment varies less by population groups than acrossstates, some results are noteworthy. Adivasi men are significantlyless likely to be employed (200 days) than otherforward castes, Muslims, and other m<strong>in</strong>ority groups, whorange from 236 days to 265 days. The disadvantages forAdivasis come <strong>in</strong> part from their rural location, but even <strong>in</strong>urban populations Adivasi men work fewer days.2S<strong>in</strong>ce the IHDS did not collect <strong>in</strong>formation on time spent <strong>in</strong> animal care, this type of labour is omitted from the table. Only people who wereemployed more than 120 hours <strong>in</strong> the previous year are reported <strong>in</strong> Tables A.4.2a and A.4.2b. Days of employment are calculated as full day equivalents,where a full day is assumed to be eight hours of work. Many employees who worked as drivers or domestic servants, or who held two jobs, reported work<strong>in</strong>gmore than 365 full day equivalents <strong>in</strong> a year; thus, total days are capped at 365.

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