Technical Efficiency of Artisanal Fishing Households in Malawi
Department of Economics and Law, Malawi University of Business and Applied Sciences (MUBAS), Blantyre, 312225, Malawi
Betchani Tchereni
Department of Economics and Law, Malawi University of Business and Applied Sciences (MUBAS), Blantyre, 312225, Malawi
DOI: https://doi.org/10.36956/rwae.v5i3.1109
Received: 21 May 2024; Received in revised form: 2 July 2024; Accepted: 30 July 2024; Published: 10 September 2024
Copyright © 2024 Fredrick Mangwaya Banda, Betchani Tchereni. Published by Nan Yang Academy of Sciences Pte. Ltd.
This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.
Abstract
This study assesses the technical efficiency of artisanal fishing households in Malawi using the stochastic production frontier model, particularly, the Cobb-Douglas model. The specific objectives of the study were two-fold: to measure the productivity of the artisanal fishers in Malawi and to find the determinants of their technical efficiency. The study used data obtained from the Malawi’s Fifth Integrated Household Survey (IHS-5), and results indicate that artisanal fishers are highly productive as the Cobb-Douglas stochastic frontier production function exhibited increasing returns to scale. The study also found that the artisanal fishers are technically efficient as their mean technical efficiency score is about 99 percent, implying that on average, a typical artisanal fisher operates only 1 percent below the maximum potential output. Furthermore, the study findings indicate that amount of money a household pays as rent for a fishing gear, the number of fishers hired, and the number of fishing gears operated by a household are positive determinants of technical efficiency among artisanal fishers; whereas the payment to hired fishers on credit is a negative determinant of technical efficiency among the artisanal fishing households in Malawi. Hence, two-fold policy implications emanate from the study as follows: Firstly, in order to promote technical efficiency of the artisanal fishing households in Malawi, policymakers need to intensify efforts aimed at encouraging spawning of fish by, strictly, prohibiting fishing in the fish spawning months. Secondly, policymakers need to encourage the artisanal fishers to subsidize the productive inputs in the artisanal fisheries sub-sector such as fishing gears and boats, and improve fishers access to credit.
Keywords: Artisanal fishers; Cobb-Douglas production function; Fishery; Technical efficiency; Stochastic frontier production function
References
[1] FAO, 2020. National Aquaculture Sector Overview. Fisheries and Aquaculture Department, Malawi.
[2] Malawi Government, 2016. National Fisheries and Aquaculture Policy. Available from: http://www.unpei.org/malawi-government-national-fisheries-and-aquaculturepolicy
[3] Phiri, L.Y., Dzanja, J., Kakota, T., et al., 2013. Value chain analysis of Lake Malawi fish: A case study of oreochromis spp (Chambo). International Journal of Business and Social Science. 4 (2), 170–181. Available from: https://www.cabidigitallibrary.org/doi/full/10.5555/20133150127
[4] Kirkley, J., Squires, D., Strand I.E., 1995. Assessing technical efficiency in commercial fisheries: The Mid-Atlantic Sea scallop fishery. American Journal of Agricultural Economics. 77(4), 686–697.
[5] Baffoe-Bonnie, A., Kostandini, G., 2018. Annual and environmental production conditions effects on smallholder technical efficiency in Sub-Saharan Africa: Evidence from Ethiopia. The Journal of the International Association of Agricultural Economists.50(6), 779–791.
[6] Phiri, F., Yuan, X., 2018. Technical efficiency of tilapia production in Malawi and China: Application of stochastic frontier production approach. Journal of Aquaculture Research and Development. 9(4), 1–7.
[7] Mussa, H., Kaunda, E., Jere, W., et al., 2019. Resource use efficiency in tilapia production in Central and Southern Malawi. Aquaculture Economics & Management. 24 (1),1–19.
[8] Sesabo, J., Tol, R., 2006. Technical efficiency and small-scale fishing households in Tanzanian coastal villages: An empirical analysis. African Journal of Aquatic Science. 32(1) , 51–61.
[9] Pascoe, S., Andersen, L., de Wilde, J.W., 2001. The impact of management regulation on the technical efficiency of vessels in the Dutch Beam Trawl Fishery. European Review of Agricultural Economics. 28(2), 187–206.
[10] Jacobs, R., Smith, P., Street, A., 2006. Measuring efficiency in health care: Analytic techniques and health policy. Cambridge University Press: Cambridge.
[11] Kumbhakar, S.C., Lovell, C.A.K., 2000. Stochastic frontier analysis. Cambridge University Press: Cambridge.
[12] Debreu, G., 1951. The coefficient of resource utilization. Econometrica. 19(3), 273–292.
[13] Aigner, D.J., Chu, S.F.,1968. On estimating the industry production function. American Economic Review. 58, 826–839.
[14] Hannesson, R., 1983. Bioeconomic production function in fisheries: Theoretical and empirical analysis. Canadian Journal of Fisheries and Aquatic Sciences. 40, 968–982.
[15] Meussen, W., van Den Broeck, J., 1977. Efficiency estimation from Cobb-Douglas production functions with composed error. International Economic Review. 18, 435–444.
[16] Aigner, J., Lovell, K., Schmidt, P., 1977. Formulation and estimation of stochastic frontier production function models. Journal of Econometrics. 6(2), 21–37.
[17] Zikmund, W., Babin, J., Carr, J., et al., 2010. Business Research Methods, 8th ed. South Western Cengage Learning: Canada.
[18] Adzawla, W., Alhassan, H., 2021. Effects of climate adaptation on technical efficiency of maize production in Northern Ghana. Agricultural and Food Economics. 9(14), 1–18
[19] Setsoafia, E., Owusu, P., Danso-Abbeam, G., 2017. Estimating profit efficiency of artisanal fishing Pru District of Brango-Ahafo Region, Ghana. Advances in Agriculture. 9(1), 1–7.
[20] Aminu, F., Sanusi, R., Idris, A., 2014. Technical efficiency of artisanal fish production in Lower Ogun River Basin of Lagos State, Nigeria. Journal of Applied Agricultural Research. 6(2), 3–15.
[21] Jondrow, J., Lovell, C.A.K., Materov, I.S., et al., 1982. On the estimation of technical inefficiency in the stochastic frontier production function model. Journal of Econometrics. 19(2–3), 233–238.