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Technical Efficiency of Small-Holder Cocoyam Farmers in Anambra State, Nigeria, Using a Translog Stochastic Frontier Production Function

Author

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

Abstract

This study employed a translog stochastic frontier production function to measure the level of technical efficiency and it’s determinants in small-holder cocoyam production in Anambara state, Nigeria. Multi-stage random sampling technique was used to select 120 cocoyam farmers in the state in 2005 from whom input-output data were obtained using the cost-route approach. The parameters of the stochastic frontier production function were estimated using the maxim likelihood method. The results of the analysis show that individual farm level technical efficiency ranged between 69.01% and 98.42% with a mean of 92.96%. The study found farm size, farming experience, use of fertilizer and membership of farmers’ association/cooperative societies to be positively related to technical efficiency while no significant relationship was found between technical efficiency and age, education, extension contact, household sizes and credit.

Suggested Citation

  • Onyenweaku, C.E & Okoye, B.C, 2007. "Technical Efficiency of Small-Holder Cocoyam Farmers in Anambra State, Nigeria, Using a Translog Stochastic Frontier Production Function," MPRA Paper 16282, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:16282
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    File URL: https://mpra.ub.uni-muenchen.de/16282/2/Okoye_IDEP-AES-06-51.pdf
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    References listed on IDEAS

    as
    1. Bravo-Ureta, Boris E. & Pinheiro, António E., 1993. "Efficiency Analysis of Developing Country Agriculture: A Review of the Frontier Function Literature," Agricultural and Resource Economics Review, Cambridge University Press, vol. 22(1), pages 88-101, April.
    2. K. Kalirajan, 1981. "An Econometric Analysis of Yield Variability in Paddy Production," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 29(3), pages 283-294, November.
    3. 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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    Cited by:

    1. Hamdiyah Alhassan & Benjamin Musah Abu & Paul Kwame Nkegbe, 2020. "Access to Credit, Farm Productivity and Market Participation in Ghana: A Conditional Mixed Process Approach," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 14(2), pages 226-246, May.
    2. Okeke-Agulu, K. I. & Adepoju, S. O. & Nweze, N. J., 2011. "Technical Efficiency Of Snail Farming In Ngor Okpala Lga Of Imo State, Nigeria," Nigerian Journal of Agricultural Economics, Nigerian Journal of Agricultural Economics, vol. 2(1).
    3. Nwachukwu, Ifeanyi N. & Onyenweaku, Chris E., 2009. "Allocative Efficiency among Fadama Fluted Pumkin Farmers in Imo State, Nigeria," MPRA Paper 27249, University Library of Munich, Germany.

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    More about this item

    Keywords

    Translog Stochastic Frontier Production Function; Technical Efficiency.;

    JEL classification:

    • D69 - Microeconomics - - Welfare Economics - - - Other
    • D6 - Microeconomics - - Welfare Economics
    • Q10 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - General

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