Determinants of Common Bean Productivity and Efficiency: A Case of Smallholder Farmers in Eastern Uganda
AbstractAgriculture sustains the livelihoods of about 70.8% of Ugandans, while common bean has emerged to be an important cash crop as well as a staple food for the majority of farmers and consumers. Although Uganda’s bean output has more than doubled, average bean yields in the country have been between 0.6 and 0.8 Mt Ha-1, even though yields higher than 1.5 Mt Ha-1 can be realized with improved varieties. Thusthe objective of this study was to determine the factors influencing common beanproductivityand efficiency among smallholder farmers in Eastern Uganda.The study was conducted in Busia, Mbale, Budaka and Tororo districts in Eastern Uganda based on a sample of 280 householdsselected using a multi-stage sampling technique. For the data collection, a personally administered structured questionnaire was used to conduct interviews, with a focus on household heads. In the analyses, descriptive statistics, a stochastic frontier modeland a two-limit Tobit regression model were employed. It was established that bean productivity was positively influenced by plot size, ordinary seeds, certified seeds and planting fertilizers. The mean technical efficiency among bean farms was 48.2%, mean economic efficiency was 59.94% and mean allocative efficiency was 29.37%. Finally, Tobit model estimation revealed that technical efficiency was positively influenced by value of assets at 1% level and extension service and group membership at 5% level; while age and distance to the factor market negatively influenced technical efficiency at 10% and 5% levels respectively. Economic efficiency was positively influenced by value of assets at 1% level and off-farm income and credit at 5% level. However, farmers’ primary occupation negativelyinfluenced economic efficiency at 5% level. Allocative efficiency was positively influenced by value of assets at 1% level and farm size and off-farm income at 10% level; while distance to the factor market negatively influenced allocative efficiency at 5% level.Hence the study recommended on the need for increased provision of extension service and training on correct input application and improved farming technologies to increase bean productivity. It also suggested on the need for policy to discourage land fragmentation, develop road and market infrastructure in rural areas and provide affordable and easily available credit facilities to improve production efficiency of bean farms.
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Date of creation: Mar 2012
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This paper has been announced in the following NEP Reports:
- NEP-AGR-2012-10-06 (Agricultural Economics)
- NEP-ALL-2012-10-06 (All new papers)
- NEP-EFF-2012-10-06 (Efficiency & Productivity)
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- Daniel Solís & Boris E. Bravo-Ureta & Ricardo E. Quiroga, 2007. "Soil conservation and technical efficiency among hillside farmers in Central America: a switching regression model ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(4), pages 491-510, December.
- Solis, Daniel & Bravo-Ureta, Boris E. & Quiroga, Ricardo E., 2007. "Soil conservation and technical efficiency among hillside farmers in Central America: a switching regression model," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(4), December.
- Taylor, Timothy G. & Scott Shonkwiler, J., 1986. "Alternative stochastic specifications of the frontier production function in the analysis of agricultural credit programs and technical efficiency," Journal of Development Economics, Elsevier, vol. 21(1), pages 149-160, April.
- Joachim Binam & Kalilou Sylla & Ibrahim Diarra & Gwendoline Nyambi, 2003. "Factors Affecting Technical Efficiency among Coffee Farmers in Côte d’Ivoire: Evidence from the Centre West Region," African Development Review, African Development Bank, vol. 15(1), pages 66-76.
- Battese, George E., 1992. "Frontier production functions and technical efficiency: a survey of empirical applications in agricultural economics," Agricultural Economics, Blackwell, vol. 7(3-4), pages 185-208, October.
- Adesina, Akinwumi A. & Djato, Kouakou K., 1997. "Relative efficiency of women as farm managers: Profit function analysis in Cote d'Ivoire," Agricultural Economics: The Journal of the International Association of Agricultural Economists, International Association of Agricultural Economists, vol. 16(1), March.
- Quisumbing, Agnes R., 1996. "Male-female differences in agricultural productivity: Methodological issues and empirical evidence," World Development, Elsevier, vol. 24(10), pages 1579-1595, October.
- Tijani, A.A., 2006. "Analysis of the technical efficiency of rice farms in Ijesha Land of Osun State, Nigeria," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 45(2), June.
- Soniia David & Louise Sperling, 1999. "Improving technology delivery mechanisms: Lessons from bean seed systems research in eastern and central Africa," Agriculture and Human Values, Springer, vol. 16(4), pages 381-388, December.
- Jonna P. ESTUDILLO & Keijiro OTSUKA, 2006. "Lessons From Three Decades Of Green Revolution In The Philippines," The Developing Economies, Institute of Developing Economies, vol. 44(2), pages 123-148.
- Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
- Battese, George E., 1992. "Frontier production functions and technical efficiency: a survey of empirical applications in agricultural economics," Agricultural Economics: The Journal of the International Association of Agricultural Economists, International Association of Agricultural Economists, vol. 7(3-4), October.
- André Croppenstedt, 2005. "Measuring Technical Efficiency of Wheat Farmers in Egypt," Working Papers 05-06, Agricultural and Development Economics Division of the Food and Agriculture Organization of the United Nations (FAO - ESA).
- Ross, Kara L. & Dalton, Timothy J. & Featherstone, Allen M., 2009. "A Nonparametric Efficiency Analysis of Bean Producers from North and South Kivu," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 46575, Southern Agricultural Economics Association.
- Shujie Yao & Zinan Liu, 1998. "Determinants of Grain Production and Technical Efficiency in China," Journal of Agricultural Economics, Wiley Blackwell, vol. 49(2), pages 171-184.
- Nyagaka, Daniel & Obare, Gideon A. & Nguyo, Wilson, 2009. "Economic Efficiency of Smallholder Irish Potato Producers in Kenya: A Case of Nyandarua North District," 2009 Conference, August 16-22, 2009, Beijing, China 49917, International Association of Agricultural Economists.
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