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Meeusen N, Van den Brock J. Efficiency Estimation from Cobb – Douglas Production function with Composite Error.” International Economic review”. 1977;18(2):123-134.

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Article

Application of Stochastic Production Frontier in the Estimation of Technical Efficiency of Poultry Egg Production in Ogbomoso Metropolis of Oyo State, Nigeria

1Department of Agricultural Economics, Landmark University, Omu-Aran, Kwara State, Nigeria

2Department of Agricultural Economics, Ladoke Akintola University of Technology, Ogbomoso

3Department of Agricultural Extension, Landmark University, Omu-Aran, Kwara State, Nigeria

4Department of Accounting and Finance, Landmark University, Omu-Aran, Kwara State, Nigeria


World Journal of Agricultural Research. 2013, Vol. 1 No. 6, 119-123
DOI: 10.12691/wjar-1-6-5
Copyright © 2013 Science and Education Publishing

Cite this paper:
I.A Adedeji, Kazeem .O Adelalu, S.I Ogunjimi, A.O Otekunrin. Application of Stochastic Production Frontier in the Estimation of Technical Efficiency of Poultry Egg Production in Ogbomoso Metropolis of Oyo State, Nigeria. World Journal of Agricultural Research. 2013; 1(6):119-123. doi: 10.12691/wjar-1-6-5.

Correspondence to: I.A  Adedeji, Department of Agricultural Economics, Landmark University, Omu-Aran, Kwara State, Nigeria. Email: ajibby77@yahoo.com

Abstract

The study analyzed the Technical Efficiency (TE) of poultry egg production in Ogbomoso metropolis of Oyo state, Nigeria from a sample of 60 poultry farmers selected from two Local Government Area in Oyo state. Stochastic parametric technique was used to analyse the technical efficiency of poultry farmers. Estimated technical efficiency of the poultry egg farmers ranged from 18.3% to 92.7% with a mean technical efficiency of 66%. The variation in the level of technical efficiency indicates that more opportunities exist for poultry egg farmers to increase their egg productivity and income through improvements in their technical efficiency. Determinants of technical efficiency of poultry egg farmers were found to be credit accessibility, education level, farming experience, flock size, extension contact and farmers’ associations membership, since all these variables were found to be positive and significantly related to technical efficiency.

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