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

Author

Listed:
  • 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)

Abstract

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.

Suggested Citation

  • Md. Faruq Hasan & Katsushi S. Imai & Takahiro Sato, 2012. "Impacts of Agricultural Extension on Crop Productivity, Poverty and Vulnerability: Evidence from Uganda," Discussion Paper Series DP2012-34, Research Institute for Economics & Business Administration, Kobe University, revised Feb 2013.
    • Handle: RePEc:kob:dpaper:dp2012-34
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    References listed on IDEAS

    as
    1. Hoddinott, John & Quisumbing, Agnes, 2003. "Methods for microeconometric risk and vulnerability assessments," Social Protection Discussion Papers and Notes 29138, The World Bank.
    2. Andrew Street, 2003. "How much confidence should we place in efficiency estimates?," Health Economics, John Wiley & Sons, Ltd., vol. 12(11), pages 895-907, November.
    3. Cameron,A. Colin & Trivedi,Pravin K., 2005. "Microeconometrics," Cambridge Books, Cambridge University Press, number 9780521848053, November.
    4. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    5. Md. Shafiul Azam & Katsushi Imai, 2009. "Vulnerability and Poverty in Bangladesh," Economics Discussion Paper Series 0905, Economics, The University of Manchester.
    6. Foster, Andrew D, 1995. "Nutrition and Health Investment," American Economic Review, American Economic Association, vol. 85(2), pages 148-152, May.
    7. Katsushi S. Imai, 2011. "Poverty, undernutrition and vulnerability in rural India: role of rural public works and food for work programmes," International Review of Applied Economics, Taylor & Francis Journals, vol. 25(6), pages 669-691, November.
    8. Katsushi Imai & Xiaobing Wang & Woojin Kang, 2010. "Poverty and vulnerability in rural China: effects of taxation," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 8(4), pages 399-425.
    9. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    10. Dasgupta, Partha, 1997. "Nutritional status, the capacity for work, and poverty traps," Journal of Econometrics, Elsevier, vol. 77(1), pages 5-37, March.
    11. 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, March.
    12. 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 325-332.
    13. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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    Cited by:

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    2. Kalibwani, R., 2018. "The Relationship between Technical Efficiency In Food Crop Production And Household Wealth In Uganda: Evidence From Maize Farming Households between 2005- 2010," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275889, International Association of Agricultural Economists.
    3. Hannington Jawoko Odongo & Alfonse Opio & Adrian Mwesigye & Rogers Bariyo, 2023. "Contribution of Pluralistic Agriculture Extension Service Provision to Smallholder Farmer Resilience," Journal of Sustainable Development, Canadian Center of Science and Education, vol. 16(6), pages 1-79, November.
    4. Katsushi S. Imai & Md. Faruq Hasan & Eleonora Porreca, 2015. "Do Agricultural Extension Programmes Reduce Poverty and Vulnerability? Farm Size, Agricultural Productivity and Poverty in Uganda," Discussion Paper Series DP2015-06, Research Institute for Economics & Business Administration, Kobe University.
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    6. Elahi, Ehsan & Abid, Muhammad & Zhang, Liqin & ul Haq, Shams & Sahito, Jam Ghulam Murtaza, 2018. "Agricultural advisory and financial services; farm level access, outreach and impact in a mixed cropping district of Punjab, Pakistan," Land Use Policy, Elsevier, vol. 71(C), pages 249-260.

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    More about this item

    Keywords

    Agricultural Extension; Poverty; Vulnerability; Treatment Effects Model; Uganda;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • N57 - Economic History - - Agriculture, Natural Resources, Environment and Extractive Industries - - - Africa; Oceania
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance

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