Farmers’ health status, agricultural efficiency, and poverty in rural Ethiopia: A stochastic production frontier approach

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dc.creatorUlimwengu, John M.
dc.date2009
dc.date2024-11-21T09:58:55Z
dc.date2024-11-21T09:58:55Z
dc.date.accessioned2026-06-27T15:42:30Z
dc.descriptionThe A stochastic frontier production function is used to estimate agricultural efficiency index. Then, controlling for household characteristics and other exogenous variables, the efficiency index is regressed on the probability of being sick. Estimation is performed using the treatment effect model where the probability of being sidelined by sickness is modeled as a probit. This framework allows policy simulations that underscore the impact of farmers’ health status on both agricultural efficiency and poverty reduction. Overall, regression results confirm the negative impact of health impediment on farmers’ agricultural efficiency. Simulation results show that improving farmers’ agricultural efficiency by investing in farmers’ health may not necessarily lead to poverty reduction. Additional policy instruments may be needed to achieve simultaneous increase in agricultural productivity and reduction in poverty rate.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/161863
dc.identifier.urihttp://hdl.handle.net/123456789/112381
dc.languageen
dc.publisherInternational Food Policy Research Institute
dc.rightsOpen Access
dc.sourceUlimwengu, John M. 2009. Farmers’ health status, agricultural efficiency, and poverty in rural Ethiopia. IFPRI Discussion Paper 868. https://hdl.handle.net/10568/161863
dc.subjecthealth
dc.subjectagriculture
dc.subjectproductivity
dc.subjectpoverty
dc.subjectfarmers
dc.subjectstochastic models
dc.subjectproduction
dc.subjectscience
dc.subjecttechnology
dc.subjectinnovation
dc.titleFarmers’ health status, agricultural efficiency, and poverty in rural Ethiopia: A stochastic production frontier approach
dc.typeWorking Paper

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Instituto Internacional de Investigación sobre Políticas Alimentarias (IFPRI)