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Technical efficiency of poultry egg production in Ogun state, Nigeria

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  • Osinowo, Olatokunbo H.
  • Tolorunju, Esther T.

Abstract

There is a retarded growth in poultry egg production in Ogun state, Nigeria. This has led to high production costs and average market prices of the product. Therefore, this study examined the technical efficiency of poultry egg production in Ogun state, Nigeria using the stochastic frontier production function model. Primary data was collected using a set of structured questionnaires from one hundred and twenty (120) poultry egg farmers (selected using multi-stage sampling techniques) from the Poultry Association of Nigeria, Ogun State Chapter. The level of technical efficiencies (TE) varied widely across farms, ranging between 64% and 97%, with a mean value of 85.6%. Only “years of experience” negatively affected the TE while an increase in other socio-economic variables, such as education, age and farm location, led to an increase in the TE value. The major constraints in poultry egg production included unbearable costs of feed, inadequate funds and capital, lack of disease control facilities and unstable power supply. This study recommends the dissemination of improved modern technology in egg production to poultry egg farmers.

Suggested Citation

  • Osinowo, Olatokunbo H. & Tolorunju, Esther T., . "Technical efficiency of poultry egg production in Ogun state, Nigeria," Journal of Agribusiness and Rural Development, University of Life Sciences, Poznan, Poland, vol. 51(1).
    • Handle: RePEc:ags:pojard:356022
    DOI: 10.22004/ag.econ.356022
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    References listed on IDEAS

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    3. George E. Battese & Greg S. Corra, 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 169-179, December.
    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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