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Gender in agriculture: Determinants of female labor supply decisions among rural households in the context of market imperfections in Pakistan

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  • Muhammad Sohail Amjad Makhdum
  • Rakhshanda Kousar

Abstract

Welfare of the household depends on the better understanding of time allocation among different sectors in response to changes in economic conditions. This article estimates labor supply of male and female of rural households regarding activities for own‐farm, agricultural‐wage, and nonfarm sector. The study utilizes the cross‐sectional data of 341 rural households of the Punjab, Pakistan through random sampling technique. In Pakistan, like other developing countries, gender‐based wage data are almost nonexistent, and functioning of labor market is imperfect. Therefore, reservation wages are calculated through production function analysis. Our results reveal that literacy rate, social status, and rural infrastructure are key determinants in the rural labor market. Hypothesis of separability in agricultural household models is tested by applying three tests. Separability hypothesis is rejected on the bases of results indicating the presence of imperfect labor market in rural settings of Pakistan. The findings suggest that policy makers should focus on educational opportunities, infrastructure development, and minimizing entry barriers in labor market, especially for females, regarded as socially backward class in order to raise economic conditions of rural dwellers in Pakistan.

Suggested Citation

  • Muhammad Sohail Amjad Makhdum & Rakhshanda Kousar, 2021. "Gender in agriculture: Determinants of female labor supply decisions among rural households in the context of market imperfections in Pakistan," Agricultural Economics, International Association of Agricultural Economists, vol. 52(2), pages 235-248, March.
    • Handle: RePEc:bla:agecon:v:52:y:2021:i:2:p:235-248
    DOI: 10.1111/agec.12616
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    References listed on IDEAS

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    1. Thapa, Sridhar, 2008. "Gender differentials in agricultural productivity: evidence from Nepalese household data," MPRA Paper 13722, University Library of Munich, Germany, revised Feb 2009.
    2. Marcel Fafchamps & Agnes R. Quisumbing, 1999. "Human Capital, Productivity, and Labor Allocation in Rural Pakistan," Journal of Human Resources, University of Wisconsin Press, vol. 34(2), pages 369-406.
    3. repec:iza:izawol:journl:y:2014:p:87 is not listed on IDEAS
    4. Palacios-Lopez, Amparo & Christiaensen, Luc & Kilic, Talip, 2017. "How much of the labor in African agriculture is provided by women?," Food Policy, Elsevier, vol. 67(C), pages 52-63.
    5. Hertz, Thomas & Winters, Paul & De la O, Ana Paula & Quiñones, Esteban J. & Davis, Benjamin & Zezza, Alberto, 2008. "Wage inequality in international perspective. Effects of location, sector, and gender," ESA Working Papers 289026, Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA).
    6. World Bank, 2008. "World Development Report 2007 Development and the Next Generation," Working Papers id:1755, eSocialSciences.
    7. Hanan G. Jacoby, 1993. "Shadow Wages and Peasant Family Labour Supply: An Econometric Application to the Peruvian Sierra," Review of Economic Studies, Oxford University Press, vol. 60(4), pages 903-921.
    8. Bardhan, Pranab K, 1979. "Wages and Unemployment in a Poor Agrarian Economy: A Theoretical and Empirical Analysis," Journal of Political Economy, University of Chicago Press, vol. 87(3), pages 479-500, June.
    9. Kien T. Le, 2010. "Separation Hypothesis Tests in the Agricultural Household Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(5), pages 1420-1431.
    10. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    11. Sher Verick, 2014. "Female labor force participation in developing countries," IZA World of Labor, Institute of Labor Economics (IZA), pages 1-87, September.
    12. Abdulai, Awudu & Regmi, Punya Prasad, 2000. "Estimating labor supply of farm households under nonseparability: empirical evidence from Nepal," Agricultural Economics, Blackwell, vol. 22(3), pages 309-320, April.
    13. Takashi Kurosaki & Humayun Khan, 2006. "Human Capital, Productivity, and Stratification in Rural Pakistan," Review of Development Economics, Wiley Blackwell, vol. 10(1), pages 116-134, February.
    14. Emmanuel Skoufias, 1994. "Using Shadow Wages to Estimate Labor Supply of Agricultural Households," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(2), pages 215-227.
    15. Edwin F. Ulveling & Lehman B. Fletcher, 1970. "A Cobb-Douglas Production Function with Variable Returns to Scale," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 52(2), pages 322-326.
    16. Benjamin, Dwayne, 1992. "Household Composition, Labor Markets, and Labor Demand: Testing for Separation in Agricultural Household Models," Econometrica, Econometric Society, vol. 60(2), pages 287-322, March.
    17. Broussard, Nzinga H., 2019. "What explains gender differences in food insecurity?," Food Policy, Elsevier, vol. 83(C), pages 180-194.
    18. Yasuyuki Todo & Ryo Takahashi, 2013. "Impact Of Farmer Field Schools On Agricultural Income And Skills: Evidence From An Aid‐Funded Project In Rural Ethiopia," Journal of International Development, John Wiley & Sons, Ltd., vol. 25(3), pages 362-381, April.
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