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Technical efficiency of the Ugandan matoke farms

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  • Almas Heshmati
  • Yilma Mulugeta

Abstract

The issues of measurement of technical efficiency in the production of matoke in Uganda are investigated. A Cobb-Douglas functional form is used to represent the underlying production technology and corrected least squares procedure to estimate the model and the farm-specific measures of technical efficiency. The data consists of a crossection of 288 matoke-producing family farms during the crop year 1990-1991. The productive performance of farms are compared according to the size of land. The impact of various production characteristics on the production structure of the farms is also tested. The empirical results from a comparison of different farm sizes show very small variations in mean efficiency between the different size classes. Some variations in the distribution of farms within each size-class are observed. The mean technical efficiency is found to be 65%.

Suggested Citation

  • Almas Heshmati & Yilma Mulugeta, 1996. "Technical efficiency of the Ugandan matoke farms," Applied Economics Letters, Taylor & Francis Journals, vol. 3(7), pages 491-494.
  • Handle: RePEc:taf:apeclt:v:3:y:1996:i:7:p:491-494
    DOI: 10.1080/758540813
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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.
    4. 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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    2. Edward Ebo ONUMAH & Bernhard BRÜMMER & Gabriele HÖRSTGEN-SCHWARK, 2010. "Productivity of the hired and family labour and determinants of technical inefficiency in Ghana's fish farms," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 56(2), pages 79-88.
    3. Onumah, Justina A. & Williams, Portia Adade & Quaye, Wilhelmina & Akuffobea, Mavis & Onumah, Edward E., 2014. "Smallholder Cocoa Farmers Access to On/Off-Farm Support Services and its Contribution to Output in the Eastern Region of Ghana," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society (AESS), vol. 4(10), pages 1-12, October.
    4. Tchale, Hardwick & Sauer, Johannes, 2008. "Soil Fertility Management And Maize Productivity In Malawi: Curvature Correct Efficiency Modeling And Simulation," 2007 Second International Conference, August 20-22, 2007, Accra, Ghana 52077, African Association of Agricultural Economists (AAAE).
    5. Chirwa Ephraim W., 2007. "Sources of Technical Efficiency among Smallholder Maize Farmers in Southern Malawi," Working Papers 172, African Economic Research Consortium, Research Department.
    6. Shalander Kumar & Abhishek Das & Michael Hauser & Geoffrey Muricho & Tulu Degefu & Asnake Fikre & Chris Ojiewo & Setotaw Ferede & Rajeev K. Varshney, 2022. "Estimating the potential to close yield gaps through increased efficiency of chickpea production in Ethiopia," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(5), pages 1241-1258, October.
    7. Boris Bravo-Ureta & Daniel Solís & Víctor Moreira López & José Maripani & Abdourahmane Thiam & Teodoro Rivas, 2007. "Technical efficiency in farming: a meta-regression analysis," Journal of Productivity Analysis, Springer, vol. 27(1), pages 57-72, February.
    8. Tchale, Hardwick & Sauer, Johannes, 2007. "The efficiency of maize farming in Malawi. A bootstrapped translog frontier," Cahiers d'Economie et de Sociologie Rurales (CESR), Institut National de la Recherche Agronomique (INRA), vol. 82.
    9. Hardwick Tchale & Johannes Sauer, 2007. "The efficiency of maize farming in Malawi. A bootstrapped translog frontier," Cahiers d'Economie et Sociologie Rurales, INRA Department of Economics, vol. 82, pages 33-56.
    10. Onumah, Edward E. & Acquah, H. de-Graft, 2011. "A Stochastic Production Investigation of Fish Farms in Ghana," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 3(2), pages 1-10, June.
    11. Hardwick Tchale & Johannes Sauer, 2007. "The efficiency of maize farming in Malawi. A bootstrapped translog frontier," Post-Print hal-01201145, HAL.
    12. Igbekele Ajibefun & Adebiyi Daramola & Abiodun Falusi, 2006. "Technical efficiency of small scale farmers: An application of the stochastic frontier production function to rural and urban farmers in Ondo State, Nigeria," International Economic Journal, Taylor & Francis Journals, vol. 20(1), pages 87-107.

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