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Education: a key to women's agricultural productivity in Cambodia

Author

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  • James Manley

    (Department of Economics, Towson University)

Abstract

As women comprise a larger share of land managers, it is important to discern factors that limit their success. Using nationally representative data from Cambodia we compare factors associated with productivity among female headed households as opposed to male headed households. OLS regressions show that household size, education, vocational training, land area, an index of non-agricultural capital, and the income share from agriculture are positively related to all types of agricultural revenue. However, when we use a Blinder-Oaxaca decomposition to separately consider revenue from crop production and rice production (as opposed to animal husbandry) we see that after the primacy of land access, the years of education are the next most important, and that differences between endowments explain all of the difference between male and female-headed households. We conclude that there are high returns to investment in education for girls and women in Cambodian agriculture.

Suggested Citation

  • James Manley, 2024. "Education: a key to women's agricultural productivity in Cambodia," Working Papers 2024-03, Towson University, Department of Economics, revised Feb 2024.
  • Handle: RePEc:tow:wpaper:2024-03
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    File URL: http://webapps.towson.edu/cbe/economics/workingpapers/2024-03.pdf
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    More about this item

    Keywords

    Cambodia; education; Blinder-Oaxaca decomposition; agricultural productivity; FAO; 50x2030.;
    All these keywords.

    JEL classification:

    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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