IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/17463.html
   My bibliography  Save this paper

Technical Efficiency of Small-Holder Cocoyam Farmers in Anambra State, Nigeria: Implications for Agricultural Extension Policy

Author

Listed:
  • Okoye, B.C
  • Onyenweaku, C.E
  • Agwu, A.E

Abstract

This study employed the Cobb-Douglas stochastic frontier production function to measure the level of technical efficiency in small-holder cocoyam production in Anambra state, Nigeria. A multi-stage random sampling technique was used to select 120 cocoyam farmers in the state in 2005 and from them input-output data were obtained using the cost-route approach. The parameters of the stochastic frontier production function were estimated using the maximum likelihood method. The result of the analysis shows that individual farm level technical efficiency was about 95%. The study found education and farming experience to be positively and significantly related to technical efficiency at 1% while practice index, fertilizer use and membership of cooperative societies also had a direct relationship with technical efficiency and were significant at 5% level. Age and farm size had an indirect relationship with technical efficiency and was significant at 1% and 5% level respectively. There were no significant relationship between technical efficiency and knowledge index, credit access and family size. Expected increases in agriculture require increase in agricultural productivity. In other words, agricultural productivity very much depends on the efficiency of the production process. Hence, policies designed to educate people through proper agricultural extension services will have a great impact in increasing the level of efficiency and hence agricultural productivity of these farmers.

Suggested Citation

  • Okoye, B.C & Onyenweaku, C.E & Agwu, A.E, 2006. "Technical Efficiency of Small-Holder Cocoyam Farmers in Anambra State, Nigeria: Implications for Agricultural Extension Policy," MPRA Paper 17463, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:17463
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/17463/1/MPRA_paper_17463.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lau, Lawrence J & Yotopoulos, Pan A, 1971. "A Test for Relative Efficiency and Application to Indian Agriculture," American Economic Review, American Economic Association, vol. 61(1), pages 94-109, March.
    2. 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)

    Citations

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


    Cited by:

    1. Fenske, James, 2011. "Land tenure and investment incentives: Evidence from West Africa," Journal of Development Economics, Elsevier, vol. 95(2), pages 137-156, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nay, Myo Aung, 2011. "Agricultural efficiency of rice farmers in Myanmar : a case study in selected areas," IDE Discussion Papers 306, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    2. Munir Ahmad & Sarfraz Khan Qureshi, 1999. "Recent Evidence on Farm Size and Land Productivity: Implications for Public Policy," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 38(4), pages 1135-1153.
    3. Bozoglu, Mehmet & Ceyhan, Vedat, 2007. "Measuring the technical efficiency and exploring the inefficiency determinants of vegetable farms in Samsun province, Turkey," Agricultural Systems, Elsevier, vol. 94(3), pages 649-656, June.
    4. Bravo-Ureta, Boris E., 1983. "Non-Parametric Measures of Technical Efficiency in Milk Production," Journal of the Northeastern Agricultural Economics Council, Northeastern Agricultural and Resource Economics Association, vol. 12(2), pages 1-8.
    5. Balint, Borbala & Sauer, Johannes, 2006. "Distorted Prices And Producer Efficiency - Romanian Maize," 46th Annual Conference, Giessen, Germany, October 4-6, 2006 14958, German Association of Agricultural Economists (GEWISOLA).
    6. Balint, B. & Sauer, J., 2007. "Distorted Prices and Producer Efficiency – Romanian Maize," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 42, March.
    7. Ahearn, Mary & Whittaker, Gerald & Glaze, Dargan, 1990. "Cost Distribution And Efficiency Of Corn Production," 1990 Conference, January 6-9, Albuquerque, New Mexico 260175, Regional Research Committe NC-181: Determinants of Farm Size and Structure.
    8. Sauer, Johannes & Balint, Borbala, 2006. "Romanian Maize - Distorted Prices and Producer Efficiency," 2006 Annual meeting, July 23-26, Long Beach, CA 21410, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Das, Nibedita, 2000. "Technology, efficiency and sustainability of competition in the Indian telecommunications sector," Information Economics and Policy, Elsevier, vol. 12(2), pages 133-154, June.
    10. Fatima, Hina & Almas, Lal K & Yasmin, Bushra, 2017. "Production Efficiency Analysis of Capsicum (Bell Pepper) Cropping System under the Tunnels in Punjab, Pakistan," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252736, Southern Agricultural Economics Association.
    11. Douglas D. Evanoff & Philip R. Israilevich, 1991. "Productive efficiency in banking," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 15(Jul), pages 11-32.
    12. Kanter, Christopher A. & Hueth, Brent & Gould, Brian W., 2013. "A Comparative Efficiency Analysis of Cooperative and Non-cooperative Dairy Manufacturing Firms," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150497, Agricultural and Applied Economics Association.
    13. Alvarez, Antonio & Arias, Carlos, 2004. "Technical efficiency and farm size: a conditional analysis," Agricultural Economics, Blackwell, vol. 30(3), pages 241-250, May.
    14. Sickles, Robin C., 2005. "Panel estimators and the identification of firm-specific efficiency levels in parametric, semiparametric and nonparametric settings," Journal of Econometrics, Elsevier, vol. 126(2), pages 305-334, June.
    15. Tadesse, Bedassa & Krishnamoorthy, S., 1997. "Technical efficiency in paddy farms of Tamil Nadu: An analysis based on farm size and ecological zone," Agricultural Economics, Blackwell, vol. 16(3), pages 185-192, August.
    16. A Saravanan, 2022. "An Economic Analysis of Technical Efficiency of Paddy Cultivation of Erode District in Tamil Nadu," Shanlax International Journal of Economics, Shanlax Journals, vol. 10(2), pages 1-11, March.
    17. 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).
    18. Bagi, Faqir Singh, 1985. "Estimation Of Economic And Allocative Efficiencies Relative To Stochastic Frontier Profit Function," 1985 Annual Meeting, August 4-7, Ames, Iowa 278504, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    19. W. Cooper & C. Lovell, 2011. "History lessons," Journal of Productivity Analysis, Springer, vol. 36(2), pages 193-200, October.
    20. Díaz-Hernández, Juan José & Martínez-Budría, Eduardo & González, Rosa Marina, 2020. "Effects of Inefficiency on Marginal Costs, Degree of Economies of Scale and Technical Change: A Theoretical Relationship. The Case of Spanish Port Authorities || Efectos de la ineficiencia sobre los c," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 29(1), pages 190-207, June.

    More about this item

    Keywords

    Technical Efficiency; Stochastic Frontier Production Function and Extension Service.;

    JEL classification:

    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture
    • Q19 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Other
    • Q10 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - General

    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:pra:mprapa:17463. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.