Main Article Content
Banana farmers in most parts of Kenya have not embraced value addition despite its accrued economic benefits and emphasis by stakeholders. A study was done in Chuka Sub-County, Tharaka Nithi County to identify the socio-economic factors affecting uptake of banana value addition by farmers. The study was based on the diffusion of innovations theory to establish the relationship between farming experience, group membership, access to credit and uptake of banana value addition. The study adopted a descriptive research design whereby frequency tables were generated whilst both qualitative and quantitative data was collected. The target population was 20,180 banana farming households in Chuka Sub-County and 3 key informants. Purposive sampling, Random sampling and snowballing techniques were used to select the 156 banana farmers. A pilot study of 24 (15% of sample size) households was done in Imenti South and the questionnaire was found to be reliable (Cronbach alpha value, α˂0.785). With a 90% questionnaire return rate, the data collected was analyzed using SPSS version 25 and presented using frequency tables. Binary logistic regression was used to test the levels of significance of variables and the model through the Hosmer & Lemeshow test of the goodness of fit suggested that the it was good for fit to the data as p=0.480 (>0.05) while ANOVA analyses were used to check the presence of multicollinearity. It was observed that only 31.9% of farmers uptake banana value addition and there were no banana value addition technologies identified with 35.6% and 64.4% of those who uptake doing banana ripening for sale and bulk packaging respectively. The results [P=0.05] showed that group membership [p=0.019] and access to credit [p=0.004] had a positive and significant effect on the uptake of banana value addition by farmers at varying levels. It was observed that farming experience had a positive effect on the uptake, but was statistically insignificant. The study recommended that; farmers should be encouraged to form cooperatives on value addition and the government and other stakeholders in conjunction with financial institutions need to streamline policies to enhance farmer’s access credit for effective farming among others.
Bucheli M. Bananas and business: The united fruit company in colombia. 1899-2000. NYU Press; 2005.
Muthee AI, Gichimu BM, Nthakanio PN. Analysis of banana production practices and constraints in Embu County, Kenya. Asian Journal of Agriculture and Rural Development. 2019;9(1):123.
Tarrés Q, Espinosa E, Domínguez-Robles J, Rodríguez A, Mutjé P, Delgado-Aguilar M. The suitability of banana leaf residue as raw material for the production of high lignin content micro/nano fibers: From residue to value-added products. Industrial Crops and Products. 2017;99,:27-33.
Minten B, Tamru S, Reardon T. Post-harvest losses in rural-urban value chains: Evidence from Ethiopia. Food Policy. 2020; 101860.
Kikulwe EM, Asindu M. A contingent valuation analysis for assessing the market for genetically modified planting materials among banana producing households in Uganda. GM Crops & Food. 2020;1-12.
Obaga BR, Mwaura FO. Impact of farmers’ participation in banana value addition in household welfare in Kisii Central Sub-County. International Academic Journal of Social Sciences and Education. 2018;2(1): 25-46.
Gathee JW. Challenges facing the Kenyan horticultural producer for export. International Symposium on Horticultural Economics in Developing Countries. 1989; 270:271-278.
Rogers, E. Diffusion of Innovations. New York: Simon and Schuster, 2003.
Kenya National Bureau of Statistics. 2009 Kenya population and housing census volume 1 A: Population distribution by administrative units; Kenya National Bureau of Statistics. Nairobi, 2010.
Tharaka Nithi County Government (TNCG). Development of concept paper on improving the banana value chain in Tharaka Nithi County. Final Inception Report. 2018.
Palinkas LA, Horwitz SM, Green CA, Wisdom JP, Duan N, Hoagwood K. Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. Administration and Policy in Mental Health and Mental Health Services Research. 2015;42(5): 533-544.
Cochran, WG. Sampling Techniques, Wiley, New York, 1983.
Pallant J. Survival manual. A step by step guide to data analysis using SPSS; 2011.
Chakrabartty SN. Best split-half and maximum reliability. IOSR Journal of Research & Method in Education. 2013; 3(1):1-8.
Bolarinwa OA. Principles and methods of validity and reliability testing of questionnaires used in social and health science researches. Igerian Postgraduate Medical Journal. 2015;22(4):195.
Ntshangase NL, Muroyiwa B, Sibanda M. Farmers’ perceptions and factors influencing the adoption of no-till conservation agriculture by small-scale farmers in Zashuke, KwaZulu-Natal Province. Sustainability. 2018;10(2):555.
Ullah A, Khan D, Zheng S, Ali U. Factors influencing the adoption of improved cultivars: A case of peach farmers in Pakistan. Ciência Rural. 2018;48(11).
Ntale JF, Litondo KO, Mphande OM. Indicators of value added agri-businesses on small farms in Kenya: An empirical study of Kiambu and Murang’a Counties. Journal of Small Business and Entrepreneurship Development. 2013; 2(3):89-101.
Berno T. Sustainability on a plate: Linking agriculture and food in the Fiji Islands tourism industry. Tourism and agriculture: New geographies of consumption, production and rural restructuring; 2011.
Nwachukwu JU. Technology adoption and agricultural development in Sub-Saharan Africa (SSA): A Nigerian Case Study. Cult. Relig. Stud. 2017;5:371-385.
Rezvanfar A, Samiee A, Faham E. Analysis of factors affecting adoption of sustainable soil conservation practices among wheat growers. World Applied Sciences Journal. 2009;6(5):644-651.
Arellanes P, Lee DR. The determinants of adoption of sustainable agriculture technologies: Evidence from the hillsides of Honduras; 2003.
Pereira A, Maraschin M. Banana (Musa spp) from peel to pulp: Ethnopharmacology, source of bioactive compounds and its relevance for human health. Journal of Ethnopharmacology. 2015;160:149-163.
Aldosari F, Al Shunaifi MS, Ullah MA, Muddassir M, Noor MA. Farmers’ perceptions regarding the use of information and communication technology (ICT) in Khyber Pakhtunkhwa, Northern Pakistan. Journal of the Saudi Society of Agricultural Sciences. 2019;18(2):211-217.
Atkins M, Agboola JO, Byrd KA, Naziri D, Pincus L, Thilsted S, Yossa R. Fish & roots, tubers and bananas in agri food systems: Opportunities for, and constraints to integrated production, Value Addition and Human Consumption; 2019.
Shilomboleni H, De Plaen R. Scaling up research-for-development innovations in food and agricultural systems. Development in Practice. 2019;29(6):723-734.
Pappu A, Patil V, Jain S, Mahindrakar A, Haque R, Thakur VK. Advances in industrial prospective of cellulosic macromolecules enriched banana biofibre resources: A review. International Journal of Biological Macromolecules. 2015; 79:449-458.
Tarrés Q, Espinosa E, Domínguez-Robles J, Rodríguez A, Mutjé P, Delgado-Aguilar M. The suitability of banana leaf residue as raw material for the production of high lignin content micro/nano fibers: From residue to value-added products. Industrial Crops and Products. 2017;99:27-33.
Sharma M, Patel SN, Sangwan RS, Singh SP. Biotransformation of banana pseudostem extract into a functional juice containing value added biomolecules of potential health benefits; 2017.
Sondarva YM, Desai CP, Patel JB. Constraints faced by the banana growers in adoption of innovative banana technology; 2019.
Guma IP, Rwashana AS, Oyo B. Food security policy analysis using system dynamics: The case of Uganda. International Journal of Information Technologies and Systems Approach (IJITSA). 2018;11(1):72-90.
Jideani AI. Introductory chapter: Banana nutrition-function and processing kinetics. In Banana Nutrition-Function and Processing Kinetics. IntechOpen; 2019.
Hettiarachchi IC, De Silva DA, Karunaratne AS. Black and white faces of banana value chain in Sri Lanka: A case study. In IV International Conference on Postharvest and Quality Management of Horticultural Products of Interest for Tropical Regions. 2017;1278:185-192.
Sebatta C, Mugisha J, Katungi E, Kashaaru A, Kyomugisha H.(n.d.). Smallholder farmers’ decision and level of participation in the potato market in Uganda. Modern Economy. 2014.
Winters JV. Human capital externalities and employment differences across metropolitan areas of the USA. Journal of Economic Geography. 2013;13(5):799-822.
Bekele N, Obare G, Mithöfer D, Amudavi D. The impact of group based training approaches on crop yield, household income and adoption of pest management practices in the smallholder horticultural subsector of Kenya. Journal of Sustainable Development in Africa. 2013;15(1):117-140.
Tibolla H, Pelissari FM, Martins JT, Lanzoni EM, Vicente AA, Menegalli FC, Cunha RL. Banana starch nanocomposite with cellulose nanofibers isolated from banana peel by enzymatic treatment: In vitro cytotoxicity assessment. Carbohydrate Polymers. 2019;207:169-179.
Ali DA, Bowen D, Deininger K. Personality traits, technology adoption, and technical efficiency: Evidence from smallholder rice farms in Ghana. The Journal of Development Studies. 2020;56(7):1330-1348.
Paroda RS. Strategy for doubling farmers’ income. LS: International Journal of Life Sciences. 2019;8(2):128-140.
Sebeko T. Assessment of postharvest loss for perishable produces from wholesalers to consumers; 2015.
Karienye DK, Kamiri H. Trends of banana production among smallholders’ farmers due to rainfall and temperature variations in Mount Kenya Region County, Kenya. Budapest International Research in Exact Sciences (BirEx) Journal. 2020;2(2):213-227.
Kibaara B, Nyoro JK. Expanding the agricultural finance frontier: A kenyan case no. 307-2016-4952. 2008;49-52.
Meijer SS, Catacutan D, Ajayi OC, Sileshi GW, Nieuwenhuis M. The role of knowledge, attitudes and perceptions in the uptake of agricultural and agroforestry innovations among smallholder farmers in Sub-Saharan Africa. International Journal of Agricultural Sustainability. 2015; 13(1):40-54.
Florence N, Nathan S. The effect of commercial banks’ agricultural credit on agricultural growth in Uganda. African Journal of Economic Review. 2020; 8(1):162-175.
Martey E, Wiredu AN, Etwire PM, Kuwornu JK. The impact of credit on the technical efficiency of maize-producing households in Northern Ghana.. Agricultural Finance Review; 2019.
Osabohien RO, Osabuohien E, Ekhator-Mobayode UE, Matthew O, Gershon O. Household access to agricultural credit and agricultural production in Nigeria: A propensity score matching model. South African Journal of Economic and Management Sciences. 2020;23(1): 1-11.
Rogers E. Diffusion of Innovations. New York: Simon and Schuster; 2003.
Vigneswaran C, Pavithra V, Gayathri V, Mythili K. Banana fiber: Scope and value added product developmen. Journal of Textile and Apparel, Technology and Management. 2015;9(2).
Rogers, E. Diffusion of Innovations. New York: Simon and Schuster, 2003.
Narain S. Agricultural credit repayment scenario among small and marginal farmers: A ground reality of Hamirpur District of Uttar Pradesh. Journal of Community Mobilization and Sustainable Development. 2019;14(1):141-146.
Moahid M, Maharjan KL. Factors affecting farmers’ access to formal and informal credit: Evidence from Rural Afghanistan. Sustainability. 2020;12(3):1268.
Gebre GG, Rik E, Kijne A. Analysis of banana value chain in Ethiopia: Approaches to sustainable value chain development. Cogent Food & Agriculture. 2020;6(1):1742516.
Nguyen TT, Nguyen TT, Grote U. Credit and ethnic consumption inequality in the central highlands of Vietnam. Social Indicators Research. 2020;148(1): 143-172.