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Impacts of Agricultural Extension on Crop Productivity, Poverty and Vulnerability: Evidence from Uganda

  • Md. Faruq Hasan

    (Department of Agricultural Extension, Hajee Mohammad Danesh Science and Technology University, Bangladesh)

  • Katsushi S. Imai

    (Economics, School of Social Sciences, University of Manchester (UK) and RIEB, Kobe University (Japan))

  • Takahiro Sato

    (Research Institute for Economics & Business Administration (RIEB), Kobe University, Japan)

The present study examines whether agricultural extension improves household crop productivity, reduces poverty as well as vulnerability in rural Uganda drawing upon Uganda National Panel Survey data in 2009-10. We first estimate household crop productivity using stochastic frontier analysis that can allow for stochastic shocks in the production function. Then, the effect of different types of agricultural extension programmes on the crop productivity is estimated by treatment effects model which controls for the sample selection associated with household participation in agricultural extension. In this model, the distance to agricultural extension service centre is used as an instrument for participation in agricultural extension. It is found that household crop productivity was significantly raised by household participation in all types of agricultural extension programs except NGO programs, while household expenditure per capita was also significantly increased by participation in most cases. This is consistent with the central objectives of agricultural extension to improve productivity and reduce poverty. Further evidence is provided on the role of extension in reducing vulnerability as expected poverty associated with extension programs of NAADS, large farmers and other types of extension service providers.

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Paper provided by Research Institute for Economics & Business Administration, Kobe University in its series Discussion Paper Series with number DP2012-34.

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Length: 33 pages
Date of creation: Dec 2012
Date of revision: Feb 2013
Handle: RePEc:kob:dpaper:dp2012-34
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  1. 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.
  2. Md. Shafiul Azam & Katsushi S. Imai, 2010. "Vulnerability and poverty in Bangladesh," Working Papers id:2675, eSocialSciences.
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  5. Cameron,A. Colin & Trivedi,Pravin K., 2005. "Microeconometrics," Cambridge Books, Cambridge University Press, number 9780521848053.
  6. Katsushi S. Imai, 2009. "Poverty, undernutrition and vulnerability in rural India: Role of rural public works and food for work programmes," The School of Economics Discussion Paper Series 0914, Economics, The University of Manchester.
  7. Dasgupta, Partha, 1997. "Nutritional status, the capacity for work, and poverty traps," Journal of Econometrics, Elsevier, vol. 77(1), pages 5-37, March.
  8. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
  9. Xiaobing Wang & Woojin Kang & Katsushi S. Imai, 2010. "Poverty and Vulnerability in Rural China: Effects of Taxation," Working Papers id:2886, eSocialSciences.
  10. Asep Suryahadi & Sudarno Sumarto, 2003. "Poverty and Vulnerability in Indonesia Before and After the Economic Crisis," Asian Economic Journal, East Asian Economic Association, vol. 17(1), pages 45-64, 03.
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