Vol. 11 No. 2 (2021): vol 11,Iss 2,Year 2021
Articles

Economic efficiency of fish farming in ondo state, nigeria

Aina O S
Department of Cooperative Economics, Federal College of Horticulture, Dadin-Kowa. P.M.B. 108, Gombe State, Nigeria.
Yakubu S A
Department of Agricultural Economics and Extension, Ambrose Ali University, Ekpoma, Edo State, Nigeria.
Odegbade O O
Department of Agricultural Economics and Extension, Ambrose Ali University, Ekpoma, Edo State, Nigeria.
Dada A A
Department of Economics and Extension, Cocoa Research Institute of Nigeria (CRIN), P.M.B Nigeria.5244, Ibadan, Oyo State.
Sangodare A O
Department of Cooperative Economics, Federal College of Horticulture, Dadin-Kowa. P.M.B. 108, Gombe State, Nigeria.
Published June 30, 2021
Keywords
  • Economic, Efficiency, Fish, Farming, Ondo, Nigeria
How to Cite
O S, A., S A, Y., O O, O., A A, D., & A O, S. (2021). Economic efficiency of fish farming in ondo state, nigeria. Journal of Management and Science, 11(2), 40-45. https://doi.org/10.26524/jms.11.13

Abstract

This study assessed economic efficiency of fish farming in Ondo State, Nigeria. The study used primary and secondary data to achieve the objective of the study. Primary data were collected with the aid of structured questionnaire from 72 Fish farmers selected using the multistage sampling technique. The analytical technique involved budgeting technique, stochastic frontier production and cost function analysis. The study discovered from the gross margin and net-revenue analysis that fish production was profitable judging by the positive value and size of the gross margin (₦175.55 per kg) and net revenue (₦170.96 per kg). The result of the stochastic frontier production function analysis showed that all the regressors used in the analysis had positive coefficient, indicating that all
the inputs considered had direct relationship with farmers output. The result of the stochastic cost frontier function analysis showed that unit cost of labour, fingerlings, fertilizer and lime had positive regression coefficients, indicating that as these variables increase,the overall production cost of fish increases. The result also indicated that the presence of technical inefficiency had effects on fish production as depicted by the significant estimated gamma coefficient. The study recommends improvement in human capital development through education policy and training programme by extension education, opening of more market opportunities should be pursued and government should provide support to fish farmer’s cooperative society by increasing their capital base.

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