Performance of women-managed plots compared to men-managed plots among smallholder maize farmers in western and central Ethiopia
A more targeted approach towards improving women’s access to agricultural innovations is key to increase the overall agricultural productivity. This paper uses gender-disaggregated household and plot-level survey data from Ethiopia to explore the impacts of multiple agronomic practices disaggregated by the sex of the plot manager. Using a multinomial endogenous switching regression methodology, after controlling for endogeneity arising from observed and unobserved heterogeneity, we found that multiple agronomic practices have a positive and significant effect on maize yields and maize income. Crucially, subject to demographics, plot quality and agronomic practices (among others), we found that women-managed plots (WMP) had treatment effects (yields) that were statistically the same as those of men-managed plots (MMP) (and nominally higher in a number of cases).
Main Authors: | , , |
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Format: | Article biblioteca |
Language: | English |
Published: |
Taylor and Francis
2021
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Subjects: | AGRICULTURAL SCIENCES AND BIOTECHNOLOGY, Technology Adoption, Heterogeneity, Endogenous Switching Regression, INNOVATION ADOPTION, TECHNOLOGY, GENDER, REGRESSION ANALYSIS, WELFARE, |
Online Access: | https://hdl.handle.net/10883/21940 |
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