DETERMINANTS OF TECHNICAL EFFICIENCY IN IRRIGATED TOMATO PRODUCTION UNDER KANO RIVER IRRIGATION PROJECT, PHASE I
Abstract
The present study has estimated the Determinants of Technical Efficiency in Irrigated Tomato Production under Kano River Irrigation Project, Phase I. Primary data were collected from 213 irrigated tomato farmers, using multi-stage sampling techniques in three local government areas covered by KRIP. Data were collected during the 2014/2015 irrigation farming season using structured questionnaire. Data collected were analyzed using two-stage Data Envelopment Analysis (DEA) and regression models. Findings further revealed that none of the sampled irrigated tomato farmer reached the frontier threshold. Also, factors such as age, household size, farming experience, sources of finance, sex and cooperative society were responsible for 59% total variation in technical efficiency among the three categories of irrigated tomato farms. Based on the findings of this study, it can be concluded that age, household size, farming experience, amount of credit, extension contact, cooperative societies and sex were the determinants of technical efficiency were for all the three categories of farms. It was therefore, recommended that since cooperative membership was a significantly determinant of technical efficiency, irrigated tomato farmers should join cooperative societies, so as to be able to benefit from the government and non-governmental organisations through increased credit access, input supply and farm advisory services
References
Abba, A. and Shehu, M. (2007). Commodity Chain Analysis of Tomato: Case Study of KRIP Area, Kano State. Agricultural Development in Nigeria Programme. A collaborative Programme of NAERLS/ABU, Zaria and Embassy of France Abuja.
Abdullahi, A. and Huffman, W.E. (1998). An examination of profit inefficiency of rice farmers in Northern Ghana. Staff paper, Swiss Federal Institute of Technology, Department of Agricultural Economics.
Anonymous, (2010). Tomato en.wikipedia.org/wiki/tomato.
Anonymous, (2011). Petomech li.www.southafrica.net.
Asogwa, B.C. Ihemeje, J.C. and Ezihe, J.A.C. (2011). Technical and Allocative Efficiency Analysis of Nigerian Rural Farmers: Implication for Poverty Reduction, Agricultural Journal. 6(5): 243-251.
Central Bank of Nigeria (2010). Annual Report and Statement of Accounts, Abuja.
Coelli, T.J., Rahman, S. and Thistle, C. (2002). Technical, allocative, cost and scale efficiencies in Bangladesh rice cultivation: A non-parametric approach. Journal of Econometrics. 53(3): 607-626.
Crop Production and Value 2014. Kano River Irrigation Project.
Haruna, U. (2004). Prospects and Problems of Vegetable Production under Irrigation in the Fadama Areas of Bauchi State, Nigeria. Horticultural Society of Nigeria, Proceedings of the 22nd Annual Conference.
Jaliya, M. M, Sani, B. M, Lawal, A. O. and Murtala, G. B. (2007).Effect of Irrigation Frequency on Productivity of Heat Tolerant Tomato Varieties at Samaru, Zaria, Agricultural Engineering and Irrigation Programme, NAERLS/ABU, Zaria 13thNational Irrigation and Drainage Seminar, Minna. Pp. 105-108.
Kano Agricultural and Rural Development Authority (KNARDA). 2002 Kano State Estimated Crop Production. Monitoring and Evaluation Unit.
Kano State Government (2012). Brief on Kano State. kano.gov.ng/new/index.php/2012-02-28-03-51-05/brief. Accessed on 10th January, 2013.
KRIP-WUCS (2014). Kano River Irrigation Project-Water Users Cooperative Society: Hadejia-Jama`are River Basin Development Authority, Kura Office.
Murthy, D.S, Sudha, M, Hegde, M.R. and Dakshina, M. (2009). Technical Efficiency and its Determinants in Tomato Production in Karnataka, India: Data Envelopment Analysis (DEA) Approach. Agricultural Economics Research Review.22: 215-224.
Nielsen, S.S. (1998). Food Analysis, 2nd Edition. Aspen Publication, Gaithersberg, Maryland.
NPC (2006). National Population Commission. Population Census of the Federal Republic of Nigeria. 2006 Census Report National Population Commission, Abuja.
Okafor, F.C. and Andrew, G.O. (1994). Rural Systems and Land Resources Evaluation for Africa. Benin: The Benin Social Series for Africa, pp. 75-86.
Olanrewaju,D. and Swarup, V. (1983).Tomato Cultivation and it’s Potential in Nigeria. National Horticultural Research Institute, Idi-Ishin, Ibadan, Nigeria, Occasional Paper No. 10 ISSN 0795-4123.
Procter, A. and Meullenet, J.F. (1998). Sampling and Sample Preparation In: Food Analysis, 2nd Edition. Aspen Publication, Gaithersberg, Maryland
Shankara, N, Joep Van Lidt, D. J, Marja, D. G, Martin, H. and Barbara, V. D. (2005). Cultivation of Tomato: Production, Processing and Marketing,Agrodok 17, Agromisa Foundation and CTA, Wageningen.
Thomas, D. 1990. Intra-Household Resource Allocation an Inferential Approach. Journal of Human Resources 25 (4): 635-64.
Usman, J. and Bakari, U.M. (2013).Profitability of Small Scale Dry Season Tomato (Lycopersicon esculentum Mill.) Production in Adamawa State, Nigeria. ARPN Journal of Science and Technology.3 (6):604-612.
Zhu, J. (2004). Super-efficiency and Data Envelopment Sensitivity Analysis. European Journal of Operational Research. 129: 443-455.
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