Predicting uptake of aquaculture technologies among smallholder fish farmers in Kenya

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Abstract

In Africa, many governments and development agencies have promoted aquaculture as a panacea for household food security, rural development, and poverty reduction. However, aquaculture production in the continent remains low despite significant investments in research and technology development. While numerous initiatives have been directed at technological innovation and transfer, their present scale of uptake is very slow and therefore inadequate to achieve transformational change envisaged in the 2030 Agenda for sustainable development. In this paper, we aim to (1) critically analyze the factors that influence fish farmer’s perceptions, attitudes, and behaviors toward technology adoption; and (2) to determine the impacts of technology adoption on farmer’s livelihoods. Primary data were collected using a self-administered digitized questionnaire to 331 randomly selected farmers in Kenya. Multivariate logistic regression models were used to analyze data. Results revealed that variables including secondary education, diversified on-farm activities, farm size, production levels, attendance of extension training, ease of understanding, and ease of handling technologies were positive and significant predictors of aquaculture technology adoption. However, 30% of fish farmers were categorized as high adopters of novel aquaculture technologies, implying that there are gaps in technical skills hindering adoption of innovative technologies and best management practices. To facilitate learning and uptake of technologies and good practices by farmers, a range of aquaculture-related extension and communication materials, including posters, hard copy information leaflets and brochures of recipes in appropriate languages, short video presentations, and radio features, should be commissioned to support the smallholder farmers.

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APA

Obiero, K. O., Waidbacher, H., Nyawanda, B. O., Munguti, J. M., Manyala, J. O., & Kaunda-Arara, B. (2019). Predicting uptake of aquaculture technologies among smallholder fish farmers in Kenya. Aquaculture International, 27(6), 1689–1707. https://doi.org/10.1007/s10499-019-00423-0

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