Determinants of Aquaculture Productivity Among Small Holder Farmers in Bungoma County, Kenya
Main Article Content
Keywords
Aquaculture, farming, production, fisheries, productivity, driver
Abstract
The world fish demand is steadily rising as result of low supply thus the need to intensively promote aquaculture. Concerted efforts by the Kenyan government and stakeholders have been in place to promote commercial aquaculture. However, despite the effort there is still a big gap between supply and demand. This was an explanatory study that sought to investigate the determinants of aquaculture productivity among small holder farmers in Bungoma County, Kenya. The study targeted a population of 428 households with ponds in the study area. Using Yamane formular, 207 households were sampled for the study. Sampling of respondents was through purposive, multistage and simple random techniques. A Cobb-Douglas production function was fitted into a stochastic frontier model and analyzed by means of Maximum Likelihood Estimation to determine the efficiency of aquaculture enterprise. Descriptive statistics on the other hand was analyzed through tables and graphs using SPSS. Generally, the study found out that aquaculture in Bungoma is largely semi-intensive in nature. Access to credit, scale of operations, resource support and availability of other sources of household income were found to be significant (p<0.05) predictors of aquaculture farming. Therefore, there is need to increase credit access for farmers as a way of mitigating for the lack of financial resources for investment.
References
Ali, M. H., Azad, M. A. K., Anisuzzaman, M., Chowdhury, M. M. R., Hoque, M., & Shariful, M. I. (2010). Livelihood Status of the fish farmers in Some selected areas of Tarakanda Upazila of Mymensingh District. J. Agrofor. Journal on environment and livelihood status., 3(2), 85-89.
FAO, (2020). The State of World Fisheries and Aquaculture 2020. Sustainability in Action. Food and Agriculture Organization, Rome (2020), 10.4060/ca9229en. https://www.fao.org/documents/card/en/c/ca9229en
FAO (2012). Voluntary guidelines on the responsible governance of tenure of land, fisheries and forests in the context of national food security. Committee on World Food Security/FAO. Rome. (Available at: http:// www.fao.org/nr/tenure/voluntary-guidelines/en/ in various languages)FAO. (2018). The state of World fisheries and aquaculture. Meeting the sustainable development goals. FAO. Rome, Italy
FAO (2021).Aquaculture Business Development Project for Kenya. Aquaculture Business Development Project for Kenya - TCP/KEN/3703 (fao.org)
Government of Kenya (GoK) (2010). Fish Farming enterprise Productivity Programme. Phase II Project Proposal
Government of Kenya, Economic Stimulus Programme, (2009). Overcoming today’s challenges for a better tomorrow. Programme implementation guide (2009).
INNOROVE (2023). Aquaculture Dynamics in Kenya. INNOROV, 20th September, 2023. https://www.linkedin.com/pulse/dynamics-kenyan-fish-farming-from-farm-table-innorov. v.
Kaliba A.R., Ngugi C.C., Mackambo J., & Quagrainie K.K., (2007) Economic profitability of Nile tilapia (Oreochromis niloticus) production in Kenya. Aquatc Res 38:1129–1136. doi:10.1111/j.13652109.2007.01772.
Kaminski, A. M., Kruijssen, F., Cole, S. M., Beveridge, M. C., Dawson, C., Mohan, C. V., ... & Little, D. C. (2020). A review of inclusive business models and their application in aquaculture development. Reviews in Aquaculture, 12(3), 1881-1902.
Kenya National Bureau of Statistics (KNBS), 2018. Statistical abstract 2018978-9966-102-07-2,
Kimani, N.E, Okemwa M.G, Aura M.C (2020): The status of Kenya Fisheries Towards Sustainable exploitation of Fisheries Resources for Food Security and Economic Development. Kenya Marine and Fisheries Research Institute (KMFRI). https://mahb.stanford.edu/library-item/the-status-of-kenya-fisheries/
Kimathi, A.N., Ibuathu, C. N. and Guyo, H. S. (2013). Factors Affecting Profitability of Fish Farming Under Economic Stimulus Programme in Tigania East District, Meru County, Kenya. IOSR Journal of Business and Management (IOSR-JBM), 15(3): 25-36
KMAP (2016). Kenya Market-led Aquaculture Programme (KMAP) 2016 2019). https://www.farmafrica.org/downloads/fact-sheets/kmap-with-project-achievements.pdf
KNBS (Kenya National Bureau of Statistics). (2020). Economic survey Nairobi. Kenya National Bureau of Statistics, Kenya. pp. 333
Kwamena K. Quagrainie, Charles C. Ngugi, Stephen Amisah (2009); Analysis of the use of credit facilities by small-scale fish farmers in Kenya. Aquacult Int (2010) 18:393–402 DOI 10.1007/s10499-009-9252-8
J.M. Njiru, C.M. Aura, J.K. Okechi (2018): Cage fish culture in Lake Victoria: a boon or a disaster in waiting? Fish. Manag. Ecol., 26 (5) (2018), pp. 426-434, 10.1111/fme.12283
Osondu, Charles Kelechi (2014) Determinants of decision for non-farm entrepreneurship by women farmers in Ikwuano Lga, Abia State. Agrosearch, 14(2):154-167. http://dx.doi.org/10.4314/agrosh.v14i2.6
Rahm, M. R., & Huffman, W. E. (1984). The Adoption of Reduced Tillage: The Role of Human a of Human Capital and Other Variables. American Journal Agricural Economics, 66(4), 405-413. http://dx.doi.org/10.2307/1240918
Ramachandran, R., Rani, M. and Kabilan, S.J. (2010) Synthesis, Structure and Conformational Analysis of 2,4-diaryl-3-azabicyclo [3.3.1] nonan-9-one Thiosemicarbazones and Semicarbazones. Journal of Molecular Structure, 970, 42-50.
https://doi.org/10.1016/j.molstruc.2010.02.005
Saha, A., Love, H. A., & Schwart, R. (1994). Adoption of Emerging Technologies under Output Uncertainty. American Journal of Agricultural Economics, 76(4), 836-846. http://dx.doi.org/10.2307/1243745
Shitote. Z., Wakhungu. J. and China., S (2012). Challenges Facing Fish Farming Development in Western Kenya. Greener Journal of Agricultural Sciences ISSN: 2276-7770 Vol. 3 (5), pp. 305-311, May 2012.
Yamane, Y. (1967). Mathematical Formulae for Sample Size Determination.
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Kennedy O. Onyango , School of Business and Economics, Moi University, P.O Box 3900-30100, Eldoret, Kenya
School of Business and Economics, Moi University, Kenya
Timothy Sulo , School of Business and Economics, Moi University, P.O Box 3900-30100, Eldoret, Kenya
School of Business and Economics, Moi University, Kenya
Jared Mose, School of Business and Economics, Moi University, P.O Box 3900-30100, Eldoret, Kenya
School of Business and Economics, Moi University, Kenya