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Technical Efficiency Of Upland Rice Producers In South Western Uganda

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  • Jude, Asiimwe. K.

Abstract

Uganda’s rice demand has been on an increase due to increasing population, urbanization and changing consumer preferences. The resulting effect has been increased importation of rice into the country consequently straining foreign exchange accounts. Insufficiency in the rice supply is related to the low national average yield of 1.5t/ha. New upland rice varieties that are high yielding have been introduced in the country to improve national supply, save wetlands, fight food insecurity and improve incomes of the rural poor. This study was conducted in South Western Uganda in the districts of Bushenyi and Rukungiri. It examined whether farmers were technically efficient in input use to generate the required output levels and the farm specific factors that were affecting their technical efficiency. A total of 196 respondents were randomly selected from four rice producing sub counties using a sampling frame generated by the sub county leaders. A Cobb Douglas production function was fitted to the data to generate results. Analysis was accomplished using frontier 4.1 programme. Results revealed that production of upland rice involved excessive use of labour (1136 person days/ ha) and seeds (154kg/ha) compared to the recommended rates. It was also found that technical efficiency of upland producers were below the frontier level averaging at 61% and the existing output was being achieved through land expansion. Attainment of primary five education significantly (P=0.076) improved efficiency of farmers. For farm level technical efficiency of upland rice to improve, yield improving and labour saving technologies need to be introduced notably soil enriching aspects like fertilizers. For labour saving technologies, use pre or post emergency herbicides and mechanization of the upland rice would be a better move in the right direction. Lastly promoting primary education and specialised extension services that target upland rice will improve efficiency greatly.

Suggested Citation

  • Jude, Asiimwe. K., 2009. "Technical Efficiency Of Upland Rice Producers In South Western Uganda," Research Theses 117711, Collaborative Masters Program in Agricultural and Applied Economics.
    • Handle: RePEc:ags:cmpart:117711
    DOI: 10.22004/ag.econ.117711
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    References listed on IDEAS

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    1. Subal C. Kumbhakar, 1994. "Efficiency estimation in a profit maximising model using flexible production function," Agricultural Economics, International Association of Agricultural Economists, vol. 10(2), pages 143-152, April.
    2. Lockheed, Marlaine E & Jamison, Dean T & Lau, Lawrence J, 1980. "Farmer Education and Farm Efficiency: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 29(1), pages 37-76, October.
    3. Helfand, Steven M. & Levine, Edward S., 2004. "Farm size and the determinants of productive efficiency in the Brazilian Center-West," Agricultural Economics, Blackwell, vol. 31(2-3), pages 241-249, December.
    4. Tom Kompas, 2004. "Market reform, productivity and efficiency in Vietnamese rice production," International and Development Economics Working Papers idec04-4, International and Development Economics.
    5. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    6. Alvarez, Antonio & Arias, Carlos, 2004. "Technical efficiency and farm size: a conditional analysis," Agricultural Economics, Blackwell, vol. 30(3), pages 241-250, May.
    7. Mubarik Ali & John C. Flinn, 1989. "Profit Efficiency Among Basmati Rice Producers in Pakistan Punjab," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(2), pages 303-310.
    8. 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.
    9. 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.
    Full references (including those not matched with items on IDEAS)

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