How Zakat Affects the Technical Efficiency of Irrigated Rice Farmers Adopting Higher-Yielding Varieties (HYV) in Kano State Nigeria
DOI:
https://doi.org/10.70095/cieber.v2i3.38Keywords:
Higher Yielding Varieties, Irrigated Rice Farmers, Stochastic Frontier Model, Technical EfficiencyAbstract
Rice farming in Kano State is yielding low turnover despite the fact that larger hectares of land are devoted to it than in other producing States. This study empirically analysed the technical efficiency of irrigated rice farming that are using Higher Yielding Varieties in Kano State. The study was designed to be cross sectional that used a structured questionnaire to collect data from 590 irrigated rice farmers in Kano State. The study applied the Stochastic Frontier Model for data analysis. The outcome revealed that Higher Yielding Varieties irrigated rice farmers have a weak efficiency index with a significant coefficient of Lambda, signifying the presence of technical inefficiency contributed by the year of farming experience, educational levels, and frequency of extension contacts. Also, the study indicates that higher-yielding varieties irrigated rice farmers have an average efficiency score of 0.128 (12.8% efficiency index) with a 77.2% efficiency gap to optimum efficiency level. The minimum and maximum efficiency scores were 0.079 and 0.228 (7.9% & 22.8%), indicating that 66% of cost habit is required by the minimum efficiency irrigated rice farmers to boost to higher efficiency level. The study concludes that Higher Yielding Varieties irrigated rice farmers’ technical inefficiency was attributed to the Zakah, year of farming experiencing, educational level and frequency of extension contact and Higher Yielding Varieties irrigated rice farmers enjoy a weak efficiency score. Lastly, the study recommends for improving Higher Yielding Varieties utilization among irrigated rice farmers through effective and timely extension visitations.
References
Abdullahi, M. & Tijani, B.A. (2012). Factors affecting youth participation in agricultural practices in Adavi Local Government Area of Kogi State. Proceedings of the 46th Annual Conference held in Bayero University, Kano between 5th to 6th November, 2012
Audi, M. & Huffman, W.E. (2006). The role of human capital in economic growth and agricultural productivity: A cross-country study. Working Paper, Iowa State University.
Aigner, D., Lovell, C.K. & Schmidt, P. (1977). Formulation and estimation of Stochastic Frontier production function models. Journal of Econometrics, 6(1), 21-37.
Ajibefun, I.A., Battese, G.E. & Daramola, A.G. (2002). Determinants of technical efficiency in smallholder food crop farming: A Stochastic Frontier production function approach. Applied Economics, 34(14), 1753-1761.
Ajibefun, I.A. & Daramola, A.G. (2003). Determinants of technical efficiency in small-scale food crop production in Imo State, Nigeria. African Journal of Science and Technology (AJST), 4(1), 1-8.
Baten, M.A., Kamil, A.A. & Hague, M.A. (2009). Modelling technical inefficiencies effects in a Stochastic Frontier production function for panel data. African Journal of Agricultural Research, 4(12), 1374-1384.
Bamiro, O.M. & Aloro, O.E. (2013). Technical efficiency of poultry egg production in Ogun State, Nigeria. Journal of agriculture and Food Sciences, 11(2), 1-10.
Battese, G.E. (1992). Frontier production functions and technical efficiency: A survey of emipirical applications in agricultural economics. Agricultural Economics, 7(3-7), 185-208.
Battese, G.E. & Corra, G.S. (1977). Estimation of a production Frontier model: with application to the pastoral zone of Eastern Australia. Australian Journal of agricultural Economics, 21(3), 169-179.
Bauer, P.W. (1990). Recent Developments in the econometrics estimation of Frontiers. Journal of Econometrics. 46(1-2), 39-56.
Burns, N. & Grove, S.K. (2005). The practice of nursing research: Conduct, critique, and utilization. Elsevier Saunders.
CEMA (2014). Advancing Agricultural Mechanism (AM) to promote farming and rural development in Africa. European Agricultural Machinery, 1(2), 1-12.
Challa, T.G. (2016). Prospects and challenges of agricultural mechanization in Oramia Regional State-Ethiopia. American Journal of Agriculture and Forestry, 4(5), 118-127.
Donkoh, S.A., Ayinde, O.E. & Ogundeji, A.A. (2019). Technical efficiency of smallholder maize producers in Ghana: A Stochastic approach. Journal of Agriculture and Food Sciences, 17(2), 1-13.
Egbodion, J. & Ahmadu, J. (2015). Production cost efficiency and profitability of Abakaliki rice in Ihialia Local Government Area of Anambra State, Nigeria. Journal of Applied Sciences and Environmental Management, 19(2), 327-333.
Forsund, F.R.., Lovell, C.A.K. & Schmidt, P. (1980). A survey of Frontier production and their relationships to efficiency measurement. Journal of Econometrics, 13(1), 5-25.
Fox, N., Hunn, A. & Mathers, N. (2007). Sampling and sample size calculation. The NIHR RDS for the East Midlands/Yarkshire and the Humber.
Garba, J.S. (2019). An assessment of the impact of farm modernization on the rice production in Kano State, Nigeria. Unpublished M. Sc. Dissertations submitted to the Department of Economic, Faculty of Social Sciences, Bayero University Kano.
Gautum, M. & Jeffrey, S. (1999). Sowing the seeds of poverty: Why food security needs political security in South Asia. International food Policy research Institute (IFPRI).
Girei, A.A., Dire, B., Iliya, M.M. & Salihu, M. (2013). Stochastic Frontier production function on the resources use efficiency of Fadama II crop farmers in Adamawa State, Nigeria. European Journal of agricultural & Forestry Research, 1(2), 1-15.
Growth and Employment in States Number 4 [GEMS4] (2019). Mapping of rice production clusters in Nigeria. A Tetra Technical Company.
Hadeja Jama’are River Basin Development Authority [HJRBDA] (2004). Hadeja Jama’are River Basin Development Authority: Rice clusters.
Hidayah, I., Hanani, N., Anindita, R. & Setiawan, B. (2013). Production and cost efficiency analysis using Frontier Stochastic approach: A case of paddy farming system with Integrated Plant and Resources Management (IPRM) approach in Buru District Maluku Province Indonesia. Journal of Economics and Sustainable Development, 4(1), 78-84.
Ifeanyichukwu, U.S., Ike, E.C., Akubuike, N.E. & Felix, E. (2016). Analysis of technical inefficiency in rice production among farmers in Ezza South Local Government Area of Ebonyi State Nigeria [Application of Stochastic Frontier Production]. Achieves of Current Research International, 5(1), 1-12.
Kalirajan, K.P. (1981). An econometric analysis of yield variability in paddy production. Canadian Journal of Agricultural Economics, 29(3), 283-294.
KNARDA (2008). Kano State agricultural and rural development authority meteorological station. Annual Temperature and Rainfall Report, P.20.
KNSG (2004). Participatory rural appraisal on household food security and nutrition summary report, Kano State, Nigeria. November, 2004, Pp.5.
Meeusen, W. & Van Den Broeck, J. (1977). Efficiency estimation from Cobb-Douglas production functions with composed error. International Economic Review, 18(2), 435-444.
Mochebelele, S.E. & Winter-Nelson, A. (2016). Determinants of smallholder dairy farmers’ participation in modern and traditional marketing channels in the Free State, South Africa. Agrekon, 55(1-2), 1-17.
Norton, G.W, Alwang, J. & Masters, W.A (2014). Economics of agricultural development: World food system and resource us. Routledge, 3rd ed.
Obianefo, I.C., Nwigwe, C., Meludu, N.T. & Anyasie, I.C. (2020). Determinants of agricultural commercialization among smallholder farmers in ndiuche, Umuahia North Local Government Area, Abia State, Nigeria. Journal of Agriculture and Food Sciences, 18(2), 1-12.
Ogundele, O.O. & Okoruwa, V.O. (2006). Technical efficiency differentials in rice production technologies in Nigeria. African Economic Consortium (AERC). Research Paper 154. The Regal Press Kenya Ltd, Nairobi.
Rijk, A.G. (1989). Agricultural mechanization policy and strategy. Asian Productivity Organization, Tokyo.
Rismaya, Erin., Aan Jaelani., Wartoyo, W., (2026). Integrasi Keuangan Syariah dan dan Islamic HRM: Analisis Bibliomatric Sistem Pengupahan Berbasis Bagi Hasil (2010-2015). Khazanah Multidisiplin. Vol. 7 No 1, 1-36
Saka, J.O. & Lawal, B.O. (2009). Determinants of adoption and productivity of Improved Rice Varieties in Southwestern Nigeria. African Journal of Biotechnology, 8(19), 4923-4932.
Soyoum, A., Tekalign, M. & Bekele, E. (1998). Effect of integrated nutrients management on maize (Zea mays L.) performance in the highlands of Ethiopia. Ethiopian Journal of Agricultural Sciences, 16(1), 1-12.
Schmidt, P. (1986). Frontier production function. Ecological Economics, 4(4), 289-303.
Schmidt, P. & Lovell, C.K. (1986). Estimating technical efficiency and allocative inefficiency relative to Stochastic production and cost frontiers. Journal of Econometrics, 33(1-2), 83-101.
Tilakaratna, H.M. & Tilakaratna, I.G. (2000). Farm mechanization in rice cultivation.
Tun, Y. & Kang, H. (2015).An analysis on the factors affecting rice production efficiency in Nyanmar. Journal of East Asian Economic Integration, 19(2), 167-188.
Usman, U., Wartoyo, W., Haida, N., & Wahyuningsih, N. (2024). Implementasi Sustainable Development Goals (SDGS) Di Indonesia Perspektif Ekonomi Islam. Al-Masharif: Jurnal Ilmu Ekonomi Dan Keislaman, 12(1), 108-126.
University of Southern California Library [USCL] (2016). 12 major types of research designs- Module3 Handout 1.
Wali, H.N. (2012). Challenges and prospects of agricultural marketing in Nigeria: The case of tomato marketing in Kano State. In J.M. Jibrin et al. (eds.) (2012). Agricultural transformation in deregulated economy: Prospects and challenges. Agricultural Society of Nigeria.
Wartoyo, W., & Haida, N. (2024). The Impact of Government Sukuk Emissions on Islamic Banking Activities in Indonesia. Equilibrium: Jurnal Ekonomi Syariah, 12(1), 235-252.
Wartoyo, W., Kholis, N., Arifin, A., & Syam, N. (2022). The Contribution of Mosque-Based Sharia Cooperatives to Community Well-Being Amidst the COVID-19 Pandemic. Iqtishadia: Jurnal Kajian Ekonomi dan Bisnis Islam, 15(1), 21-45.
Wartoyo, W., Habibah, S. A., Anwar, A. M. A. W. K., & Haida, N. N. (2025). Komparasi Kinerja Bank Umum Syariah di Indonesia: Analisis Islamicity Performance Index (IPI). Salam (Islamic Economics Journal), 6(1), 166-183.
Wartoyo, W., & Haerisma, A. S. (2022). Cryptocurrency in the perspective of maqasid al-shariah. Afkaruna: Indonesian Interdisciplinary Journal of Islamic Studies, 18(1), 110-139.
Wartoyo, W. (2026). Financial efficiency of Islamic rural banks in Indonesia: A two-stage DEA approach. Humanities and Social Sciences Letters, 14(1), 357-373.
Yamane, T. (1967). Learn how to calculate sample size using the formula. ResearchClue.com.
Zoogah, D.B., Peng, M.W., & Woldu, H. (2015). Institutions, resources, and poverty reduction in Africa: An empirical examination. Journal of African Business, 16(1-2), 1-16.
