IDEAS home Printed from
   My bibliography  Save this article

Technical efficiency of the Ugandan matoke farms


  • Almas Heshmati
  • Yilma Mulugeta


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

    Download full text from publisher

    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    1. Gary S. Becker, 1962. "Investment in Human Capital: A Theoretical Analysis," Journal of Political Economy, University of Chicago Press, vol. 70, pages 1-9.
    2. Jim Millington, 1995. "Age and inter-county net migration in Great Britain," Applied Economics Letters, Taylor & Francis Journals, vol. 2(4), pages 107-109.
    3. Moffitt, Robert & Wolfe, Barbara L, 1992. "The Effect of the Medicaid Program on Welfare Participation and Labor Supply," The Review of Economics and Statistics, MIT Press, vol. 74(4), pages 615-626, November.
    4. Edward M. Gramlich & Deborah S. Laren, 1984. "Migration and Income Redistribution Responsibilities," Journal of Human Resources, University of Wisconsin Press, vol. 19(4), pages 489-511.
    5. Treyz, George I, et al, 1993. "The Dynamics of U.S. Internal Migration," The Review of Economics and Statistics, MIT Press, vol. 75(2), pages 209-214, May.
    6. Herzog, Henry W, Jr & Hofler, Richard A & Schlottmann, Alan M, 1985. "Life on the Frontier: Migrant Information, Earnings and Past Mobility," The Review of Economics and Statistics, MIT Press, vol. 67(3), pages 373-382, August.
    7. Henry W. Herzog Jr. & Alan M. Schlottmann, 1984. "Labor Force Mobility in the United States: Migration, Unemployment, and Remigration," International Regional Science Review, , vol. 9(1), pages 43-58, September.
    8. Greenwood, Michael J, 1975. "Research on Internal Migration in the United States: A Survey," Journal of Economic Literature, American Economic Association, vol. 13(2), pages 397-433, June.
    9. Cebula, Richard J, 1990. "A Brief Empirical Note on the Tiebout Hypothesis and State Income Tax Policies," Public Choice, Springer, vol. 67(1), pages 87-89, October.
    10. Schlottmann, Alan M & Herzog, Henry W, Jr, 1981. "Employment Status and the Decision to Migrate," The Review of Economics and Statistics, MIT Press, vol. 63(4), pages 590-598, November.
    11. Molho, Ian, 1986. "Theories of Migration: A Review," Scottish Journal of Political Economy, Scottish Economic Society, vol. 33(4), pages 396-419, November.
    Full references (including those not matched with items on IDEAS)


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. 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.
    2. Onumah, Edward E. & Hoerstgen-Schwark, Gabriele & Brümmer, Bernhard, 2009. "Productivity of hired and family labour and determinants of technical inefficiency in Ghana's fish farms," DARE Discussion Papers 0907, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    3. James Njeru, 2010. "Factors Influencing Technical Efficiencies among Selected Wheat Farmers in Uasin Gishu District, Kenya," Research Papers RP_206, African Economic Research Consortium.
    4. Tchale, Hardwick & Sauer, Johannes, 2007. "The efficiency of maize farming in Malawi. A bootstrapped translog frontier," Cahiers d'Economie et de Sociologie Rurales (CESR), INRA (French National Institute for Agricultural Research), vol. 82.
    5. 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).
    6. 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.
    7. 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), June.
    8. Hardwick Tchale & Johannes Sauer, 2007. "The efficiency of maize farming in Malawi. A bootstrapped translog frontier," Post-Print hal-01201145, HAL.
    9. 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.

    More about this item


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:apeclt:v:3:y:1996:i:7:p:491-494. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Chris Longhurst). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.