Abstract

Fish production is significant to Nigeria’s aggregate economy. In Imo State in particular, it contributes to employment and income generation; food security; foreign exchange earnings and bridging protein demand-supply gap. Despite all these, empirical studies that logically, explain the determinant of income from catfish production are still relatively scanty. These creates a vacuum in research and knowledge thereby make it extremely difficult if not impossible for the government and other relevant stakeholders to know the method they can use in helping farmers realize huge income from catfish production as well as prospective farmers to venture into catfish farming. It was on this backdrop that the study was systematically undertaken in the area. Data were elicited from 90 catfish farmers’ selected using multistage and purposive sampling procedure across Imo State, Nigeria. Data collected were analyzed using descriptive statistical tool, gross income and multiple regression analysis. Result show that the mean age was 45.00 years. Greater proportions (71.11%) were male. Majority (78.88%) were married with an average household size of 7 persons. The mean educational level and farming experience were 12 and 15.00 years respectively. Reasonable proportions (68.89%) have no access to credit. Average annual farm income was ₦650,000.00 ($1,570.64). Majority (45.56%) used concrete pond while approximately 47.78% of the farmers sourced their fingerling from commercials fish hatchery. Net farm income and return per capita invested were ₦3,050,714.69 ($7,371.65) and N 15.41k respectively. The profitability index was N 15.30, which implies that for every naira earned as revenue from the catfish farming, about 15.30kobo returned to farmer as net farm income. Estimated regression results shows that pond size (X 1 ); cost of fish feed (X 2 ); cost of labour (X 3 ); stocking rate (X 6 ); Educational Level (X 9 ); Farm Income (X 10 ) and Farming Experience (X 11 ) were the major determinant of income in catfish production. Findings provided evidence that catfish production is efficient and lucrative in the area. However, approximately 97.78% of the farmers complained of inadequate production capital. It was therefore recommended that farmers particularly on their own should judiciously pool productive resources together through strengthened and stable cooperative society group as this would enhance their profitability in catfish production in the area. Moreover, effective agricultural policies and programmes should focus on granting fish farmers improved access to farm credit as these would enable them increase their production frontier and realize huge profit overtime in the area. Keywords: Catfish; Income, Profitability, Management System, Imo State, Nigeria DOI: 10.7176/JESD/13-1-03 Publication date: January 31 st 2022

Highlights

  • In Nigeria, agriculture provides between 80 to 90 percent of the country’s food needs (National Bureau of Statistics (NBS), 2021)

  • Imo State covers an area of about 5,067.20 km2, with a population of 3,934,899 [(National Population Commission (NPC), 2006; National Bureau of Statistics (NBS), 2007)] and population density of about 725km2 (Ministry of Land Survey and Urban Planning, 2015)

  • The implication is that younger farmers are more likely to withstand the stress and strain involved in catfish production in the area

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Summary

Introduction

In Nigeria, agriculture provides between 80 to 90 percent of the country’s food needs (National Bureau of Statistics (NBS), 2021). Catfish farming implies intervention in the rearing process of fish to enhance production such as regular stocking, feeding, and protection from predators amongst others. It is an important revenue earning enterprise especially at such a time, when the nation seeks to diversity its productive base from the monolithic nature or near total dependence on the oil sector to other sectors like agriculture. The demand for fish protein is about 2.7million MT and only 800,000 MT is produced locally It shows that there is still a short in supply of about 1.9million MT

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