Economic efficiency of commercial vegetable production system in akwa ibom state, nigeria: a translog stochastic frontier cost function approach Report as inadecuate




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K.C. Kalu ;Tropical and Subtropical Agroecosystems 2008, 8 (3)

Author: J.A. Mbanasor

Source: http://www.redalyc.org/


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Tropical and Subtropical Agroecosystems E-ISSN: 1870-0462 ccastro@uady.mx Universidad Autónoma de Yucatán México Mbanasor, J.A.; Kalu, K.C. Economic efficiency of commercial vegetable production system in Akwa Ibom state, Nigeria: a translog stochastic frontier cost function approach Tropical and Subtropical Agroecosystems, vol.
8, núm.
3, 2008, pp.
313-318 Universidad Autónoma de Yucatán Mérida, Yucatán, México Available in: http:--www.redalyc.org-articulo.oa?id=93911235011 How to cite Complete issue More information about this article Journals homepage in redalyc.org Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative Tropical and Subtropical Agroecosystems, 8 (2008): 313- 318 SHORT NOTE [NOTA CORTA] Tropical and Subtropical Agroecosystems ECONOMIC EFFICIENCY OF COMMERCIAL VEGETABLE PRODUCTION SYSTEM IN AKWA IBOM STATE, NIGERIA: A TRANSLOG STOCHASTIC FRONTIER COST FUNCTION APPROACH. [EVALUACIÓN DE LA EFICIENCIA ECONÓMICA DE LA PRODUCCIÓN COMERCIAL DE VEGETALES EN NIGERIA] J.A.
Mbanasor* and K.C.
Kalu Department of Agribusiness and Management, Michael Okpara University of Agriculture, Umudike, Abia State, Nigeria.
Email: jambanasor@yahoo.co.uk *Corresponding author SUMMARY RESUMEN This study employed a translog stochastic frontier cost function to measure the level of economic efficiency and its determinants in commercial vegetable production Systems.
A multi-stage random sampling technique was used to select 150 vegetable farmers from whom input-output data and their prices were obtained using the cost-route approach.
The results of the analysis showed that the mean farm level economic efficiency was about 61%.
The study found level of education and household size to be negatively and significant at 10% and 1 % respectively while age, farm experience, extension visit and access to credit were significant an...





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