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Does Non-Farm Sector Employment Reduce Rural Poverty and Vulnerability? Evidence from Vietnam and India

Author

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  • Katsushi S. Imai

    (School of Social Sciences, University of Manchester (UK) and RIEB, Kobe University (Japan))

  • Raghav Gaiha

    (Faculty of Management Studies, University of Delhi, India)

  • Ganesh Thapa

    (International Fund for Agricultural Development, Rome, Italy)

Abstract

The present study examines whether rural non-farm employment has any poverty and/or vulnerability-reducing effect in Vietnam and India. To take account of sample selection bias associated with it, we have applied treatment-effects model. It is found that log per capita consumption or log mean per capita expenditure significantly increased as a result of access to the rural non-farm employment in both Vietnam and India - which is consistent with its poverty reducing role of accessing - with the aggregate effect larger in Vietnam than in India. Access to the rural non-farm employment significantly reduces vulnerability too in both countries, implying that diversification of household activities into non-farm sector would reduce such risks. When we disaggregate non-farm sector employment by its type, we find that poverty and vulnerability reducing effects are much larger for sales, professionals, and clerks than for unskilled or manual employment in both countries. However, because even unskilled or manual non-farm employment significantly reduces poverty and vulnerability in India and poverty in some years in Vietnam, this has considerable policy significance as the rural poor do not have easy access to skilled non-farm employment.

Suggested Citation

  • Katsushi S. Imai & Raghav Gaiha & Ganesh Thapa, 2015. "Does Non-Farm Sector Employment Reduce Rural Poverty and Vulnerability? Evidence from Vietnam and India," Discussion Paper Series DP2015-01, Research Institute for Economics & Business Administration, Kobe University.
    • Handle: RePEc:kob:dpaper:dp2015-01
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    More about this item

    Keywords

    Poverty; Vulnerability; Non-farm sector; Treatment Effects Model; Vietnam; India;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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