IDEAS home Printed from https://ideas.repec.org/p/adb/adbwps/241.html
   My bibliography  Save this paper

Working Paper 104 - Technology Gap and Efficiency in Cocoa Production in West and Central Africa: Implications for Cocoa Sector Development

Author

Abstract

This paper applies the recentlydeveloped metafrontier functiontechnique to investigate productivitypotentials and efficiencies in cocoaproduction in West and Central Africa.The methodology enables the estimationof national technology gap ratios (TGRs)by using a decomposition resultinvolving both the national productionfrontiers and the (regional)metaproduction frontier. Empiricalresults are derived using acomprehensive dataset collected duringone of the larger surveys of cocoafarmers in four West and Central Africacountries, namely Cameroon, Ghana,Nigeria and Cote d’Ivoire. The data andanalysis support the view that technicalefficiency in cocoa production is globallylow, and technology gap plays animportant part in explaining the ability ofcocoa sector in one country to competewith cocoa sectors in other countries inthe West and Central Africa region. Thepaper ends by highlighting relevantstrategies for sustainable cocoadevelopment in Africa.

Suggested Citation

  • Guy Nkamleu & Joachim Nyemeck & Jim Gockowsk, 2010. "Working Paper 104 - Technology Gap and Efficiency in Cocoa Production in West and Central Africa: Implications for Cocoa Sector Development," Working Paper Series 241, African Development Bank.
  • Handle: RePEc:adb:adbwps:241
    as

    Download full text from publisher

    File URL: https://www.afdb.org/fileadmin/uploads/afdb/Documents/Publications/WORKING%20104%20%20PDF%20d.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Guy Blaise Nkamleu, 2004. "L'échec de la croissance de la productivité agricole en Afrique francophone," Économie rurale, Programme National Persée, vol. 279(1), pages 53-65.
    2. Anderson, Richard G & Thursby, Jerry G, 1986. "Confidence Intervals for Elasticity Estimators in Translog Models," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 647-656, November.
    3. Coelli, T. J., 1992. "A computer program for frontier production function estimation : Frontier version 2.0," Economics Letters, Elsevier, vol. 39(1), pages 29-32, May.
    4. Guy Nkamleu, 2004. "Productivity Growth, Technical Progress and Efficiency Change in African Agriculture," African Development Review, African Development Bank, vol. 16(1), pages 203-222.
    5. Coelli, Tim J., 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 39(03), December.
    6. Hayami, Yujiro & Ruttan, Vernon W, 1970. "Agricultural Productivity Differences Among Countries," American Economic Review, American Economic Association, vol. 60(5), pages 895-911, December.
    7. Zeller, Manfred & Diagne, Aliou & Mataya, Charles, 1997. "Market access by smallholder farmers in Malawi," FCND discussion papers 35, International Food Policy Research Institute (IFPRI).
    8. 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.
    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.
    10. Lau, Lawrence J. & Yotopoulos, Pan A., 1989. "The meta-production function approach to technological change in world agriculture," Journal of Development Economics, Elsevier, vol. 31(2), pages 241-269, October.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Besseah, Felix A. & Kim, Sangho, 2014. "Technical Efficiency of Cocoa Farmers in Ghana," Journal of Rural Development/Nongchon-Gyeongje, Korea Rural Economic Institute, vol. 37(2), July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    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:adb:adbwps:241. 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: (Adeleke Oluwole Salami). General contact details of provider: http://edirc.repec.org/data/afdbgci.html .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.