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

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Author Info
Ulimwengu, John M.
Abstract

"The 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." from authors' abstract

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Paper provided by International Food Policy Research Institute (IFPRI) in its series IFPRI discussion papers with number 868.

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Date of creation: 2009
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Handle: RePEc:fpr:ifprid:868

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Related research
Keywords: health; Agriculture; productivity; Poverty; Farmers; Efficiency; Stochastic; Production; Science and technology; Institutional change; Innovation;

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  6. Strauss, John, 1986. "Does Better Nutrition Raise Farm Productivity?," Journal of Political Economy, University of Chicago Press, vol. 94(2), pages 297-320, April. [Downloadable!] (restricted)
  7. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-32.
  8. Edward Miguel & Michael Kremer, 2004. "Worms: Identifying Impacts on Education and Health in the Presence of Treatment Externalities," Econometrica, Econometric Society, vol. 72(1), pages 159-217, 01. [Downloadable!] (restricted)
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  10. Deolalikar, Anil B, 1988. "Nutrition and Labor Productivity in Agriculture: Estimates for Rural South India," The Review of Economics and Statistics, MIT Press, vol. 70(3), pages 406-13, August. [Downloadable!] (restricted)
  11. Kraay, Aart, 2006. "When is growth pro-poor? Evidence from a panel of countries," Journal of Development Economics, Elsevier, vol. 80(1), pages 198-227, June. [Downloadable!] (restricted)
  12. Bhargava, Alok & Jamison, Dean T. & Lau, Lawrence J. & Murray, Christopher J. L., 2001. "Modeling the effects of health on economic growth," Journal of Health Economics, Elsevier, vol. 20(3), pages 423-440, May. [Downloadable!] (restricted)
  13. Fogel, Robert W, 2004. "Health, Nutrition, and Economic Growth," Economic Development and Cultural Change, University of Chicago Press, vol. 52(3), pages 643-58, April.
  14. Croppenstedt, Andre & Muller, Christophe, 2000. "The Impact of Farmers' Health and Nutritional Status on Their Productivity and Efficiency: Evidence from Ethiopia," Economic Development and Cultural Change, University of Chicago Press, vol. 48(3), pages 475-502, April.
  15. Robert W. Fogel, 1994. "The Relevance of Malthus for the Study of Mortality Today: Long-Run Influences on Health, Mortality, Labor Force Participation, and Population Growth," NBER Historical Working Papers 0054, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  16. Gregory Amacher & Lire Ersado & Donald Leo Grebner & William Hyde, 2004. "Disease, Microdams and Natural Resources in Tigray, Ethiopia: Impacts on Productivity and Labour Supplies," The Journal of Development Studies, Taylor and Francis Journals, vol. 40(6), pages 122-145, August. [Downloadable!] (restricted)
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