Determinants Of Adoption Of Improved Processing Technology Among Catfish Producer - Processors In South Western, Nigeria

Kolapo Adetomiwa () and Olufemi Adedotun Yesufu
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Kolapo Adetomiwa: Department of Agricultural Economics, Faculty of Agriculture, Obafemi Awolowo University, Ile-Ife, Nigeria
Olufemi Adedotun Yesufu: Department of Agricultural Economics, Faculty of Agriculture, Obafemi Awolowo University, Ile-Ife, Nigeria

Food & Agribusiness Management (FABM), 2020, vol. 1, issue 1, 94-99

Abstract: This study investigated the determinants of adoption of improved processing technology among the catfish producer-processors in South Western Nigeria. Ninety (90) catfish producers were selected randomly and total enumeration of 75 catfish producer-processors using the improved catfish processing technology were used. Data were collected using a well-structured and pretested questionnaire and analyzed using descriptive statistics, marketing margin and logit regression. The results showed sex distribution of the catfish producers and producer-processors were dominated by male, 75.6% and 76.0% respectively with the male producer-processors more prone to using the improved technology than their female counterparts. Majority of the producers-processors (93.3%) were using the charcoal powered improved catfish processing technology. The mean ages of the producers and producers-processors were 44.6±13.4 and 35.8±11.3 years, respectively. An analysis of the factors influencing the adoption of the improved catfish processing technology showed that access to credit, membership in association and awareness significantly predicted the probability of the producers adopting the improved processing technology in South Western, Nigeria. Credit facilities should be made available to the catfish producers in order to expand their catfish farm and also for them to be able to acquire the improved catfish processing technology.

Keywords: Catfish; Adoption; Logit regression; Technology; South Western; Nigeria (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:zib:zbfabm:v:1:y:2020:i:2:p:94-99

DOI: 10.26480/fabm.02.2020.94.99

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