Iwu et al
Greener Journal of Agricultural Sciences
Vol. 9(3), pp. 350-356, 2019
Copyright ©2019, the copyright of this article is retained by the author(s)
DOI Link: https://doi.org/10.15580/GJAS.2019.3.092519177
Determinants of Productivity among Catfish Farmers in Niger State, Nigeria
Iwu, I.M. 1*; Adewole O.E. 2; Ishie, D.N. 3; Arowolo, K.O. 4
1 & 4 Federal College of Freshwater Fisheries Technology, P. M. B. 1500, New Bussa, Niger State, Nigeria.
2 & 3 Federal College of Animal Health and Production Technology, Moore Plantation, Ibadan
Article No.: 092519177
This study was conducted to investigate the determinants of productivity among catfish farmers in Niger State, Nigeria. Borgu Local Government Area was purposively selected because catfish farming is largely practiced in the area. Within the area, data were collected with the aid of well-structured questionnaires administered randomly to 120 fish farmers using the two-stage random sampling technique. Descriptive statistics, Total Factor Productivity Analysis and Ordinary Least Square Regression Model were used to isolate the factors that affect fish farmers’ productivity in the area. Majority of the farmers (93.33%) were males; between ages of 41-60 years (72.5%); married (85.84%); with household size of 1 to 6 (74.17%) and had secondary education (74.17%). Most of the respondents stocked their fish in ponds with sizes ranging from 101M2 to 150M2 (40.83%) or 151M2 to 200M2 (39.17%). More so, 69.17% of the respondents’ ponds were hired / leased and only 14.17% of them funded their production basically with loans. 55% of them combined personal savings and loans to fund the production whereas the rest 37 (30.83%) made use of only personal savings. The result showed that only 6 (5%) of the respondents had Total Factor Productivity (TFP)<1, and only 12(10%) had TFP = 1. Majority (75) of them (62.5%) had TFP between 1.01 and 2.00, while 27 (22.5%) had TFP>2. The result of Double Log Production Function showed that the coefficients of pond size (per 10M2) and quantity of feed (per 0.1 tons) were statistically significant at 1% p>1, while that of farming experience was significant at 5% (p>5), all with positive coefficients. The adjusted R-squared of 0.8241 explained the coefficient of variation of the catfish farmers’ productivity model. It is recommended that farmers in the study area should be provided with more irrigation facilities in order to provide sustainable impoundment for more ponds as well as cheap / subsidized feed, and adequate training / extension education that could compensate for low level of experience among majority of them.
Iwu, I. M.
E-mail: ifymimiiwu@ gmail. com
Keywords: Determinants; productivity; catfish farmers; Borgu Local Government Area; Niger State
Akeredolu, M.O. (1990). Constraints to technology transfer in artisanal fisheries. Ph.D. Aquaculture Planning in Africa, ADCP/REP/75/1, pp. 61 -65. Central Bank of Niegria 2004. Statistical Bulletin, 264 - 267.
Ekunwe, P.A and Emokaro, C.O., (2009). Technical Efficiencies of Catfish Farmers in Kaduna, Nigeria Journal of Applied Sciences Research 5 (7): 802 – 805
Effiong, B. N. (2016). Fish processing, preservation and value addition p 202- 228. In: Fish farming, the value chain approach; Madu (2016) In Him Resource LTD, Palmgrove, Lagos, Nigeria. Pp 276
Eyo, A. A. (1983).The significance of fish handling, preservation and processing In the development of Nigeria inland fishery with special reference to Kainji Lake production.Third Annual Conference, Fisheries Society of Nigeria, FISON. P 115 - 122
Food and Agricultural Organization. (FAO) (2004). The state of world fisheries and aquaculture. Rome: FAO Fisheries.
FAO (1995). The State of World: Fishery and Agriculture Fisheries Department, Rome.
FAO (1997).Survey and analysis of aquaculture development research priorities and capacities in Asia. FAO Fisheries Circular. No 930, FAO, Rome, Italy.
FAO (2007): State of World Fisheries and Aquaculture http://www.fao.org/statist/fisoft/fish plu.asp
Ibitola O.R.; Fasakin I.J.; Popoola O.O.; Olajide O.O. (2019). Determinants of Maize Framers’ Productivity among Smallholder Farmers in Oyo State, Nigeria. Greener Journal of Agricultural Sciences 9(2), pp. 189-198,
Iwu, I. M.; Iwu, C. J. and Aguihe E. O.(2015)Technical Efficiency of Fish Farms in Borgu Local Government Area, Niger State, Nigeria.International Journal of Applied Research and Technology Esxon Publishers Vol. 4, No. 9, September 2015. 110 – 115.
Kapetsky JM (2004). A Strategic Assessment of warm water fish farming potential in Africa. 67 Rome: Food and Agricultural Organization.
Madu, C. T. (2016). Introducing fish farming/ Aquaculture and the entrepreneurial opportunities: an overview: p 1- 14. In: Fish farming, the value chain approach; Madu (2016) In Him Resource LTD, Palmgrove, Lagos, Nigeria. Pp 276
Miller J, Atanda T (2004). “Opportunities in Aquaculture and Fisheries in Nigeria”. Fish Farming Big Industry in the Future. National Agriculture Focus. An Agricultural News Magazine Published by Foundation Consultants Limited, Abuja.October Edition. (1) 4: 10.
Nwabeze, G. O. and C. T. Madu (2016).Marketing of fish p229-239. In: Fish farming, the value chain approach; Madu (2016) In Him Resource LTD, Palmgrove, Lagos, Nigeria. Pp 276
Oderinde, A.O., (1998) Economic viability of Fish farming in Ibadan Metropolis. Unpublished MSc thesis (Dept. of Agric. Economics, Ibadan).Pp.1-22.
Oladeji, J.O. and O.B. Oyesola (2002). African Journal of Livestock Extension Vol. 1, pp50
Olasumbo, M. 2001. Water resources management and development in Nigeria - issues and challenges in a new millennium. An Inaugural Lecture delivered at the University of Agriculture on Wednesday, 22nd of August 2001 at FUNAB, Abeokuta.,
Oyewo, I.O, Raufu M.O, Adesope A. A, Akanni O.F. Adio, A.B (2014). Factors affecting Maize Production in Oluyole Local Government Area, Oyo State Scientia Agriculture www.pscipub.com/SA 7 (2): 70-75
Singh K., Dey M.M., Rabbani A.G., Sudhakaran P.O. and Thapa O. (2009) Technical Efficiency of Freshwater Aquaculture and Its Determinants in Tripura, India. Agricultural Economics Research Review Vol 22(1): 185 – 195.
Singh K.(2007). Economics and Determinants of Fish Production and Its Effects on Family Income Inequality in West Tripura District of TripuraInd. Jn. of Agri. Econ. 62,(1), pp 114 - 126
Uhuru M K 2010 Budget speech for the fiscal year 2010/2011 Effective dates 1st July 2010 – 30th June 2011. Available on the internet at: www.treasury.go.ke.
Cite this Article: Iwu, IM; Adewole OE; Ishie, DN; Arowolo, KO (2019). Determinants of Productivity among Catfish Farmers in Niger State, Nigeria. Greener Journal of Agricultural Sciences 9(3): 350-356, https://doi.org/10.15580/GJAS.2019.3.092519177
Call for Articles/Books
Call for Scholarly Articles
Authors from around the world are invited to send scholary articles that suits the scope of this journal. The journal is currently open to submissions and will process and publish articles daily, immediately they are ready.
The journal is centered on quality and goes about its processes in a very timely fashion. Seasoned editors/reviewers will be consulted to review each article(s), profer quality evaluations and polish the articles with expertise before publication.
Use our quick submit button to submit or simply send your article(s) as an e-mail attachment to firstname.lastname@example.org or email@example.com.
Call for Books
You are also invited to submit your books for online or print publication. We publish books related to all academic subject areas. Submit as an e-mail attachment to firstname.lastname@example.org.