Effect of pond rental market system on aquaculture farmers in the coastal communities of Nigeria

IF 1.3 Q3 FISHERIES
O. A. Thompson, O. Aturamu, B. Ajiboye, O. Olumide Ojo
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引用次数: 0

Abstract

ABSTRACT The study assessed the effect of renting pond on aquaculture farmers’ productivity in the coastal communities of Nigeria. Multistage sampling technique was used to collect primary data for the study. Data were collected from two hundred and forty (240) aquaculture farmers. Net Profit Margin Ratio (NPMR) was used to determine the profitability of both pond rentals and non-pond rentals. Endogenous Switching Regression Model was used to analyze the effects of renting pond on the productivity of the aquaculture farmers. Result of NPMR revealed that the pond rental aquaculture farmers’ profitability was 9.95% higher than that of non-pond rental farmers. Result of the ESR showed that pond rental aquaculture farmers’ productivity was 9.73 kg/m2 and non-rentals was 7.22 kg/m2. The difference represents increase in productivity of pond rental aquaculture farmers by 34.76%. Hence, aquaculture farmers should be encouraged to participate in pond rental market system to increase their profitability and productivity.
池塘租赁市场制度对尼日利亚沿海社区水产养殖户的影响
摘要本研究评估了租用池塘对尼日利亚沿海社区水产养殖农民生产力的影响。采用多阶段抽样技术收集研究的原始数据。数据收集自240名养殖户。净利润率(NPMR)用于确定池塘租金和非池塘租金的盈利能力。采用内生切换回归模型,分析了租用池塘对养殖户生产力的影响。NPMR结果显示,池塘租赁养殖户的盈利能力比非池塘租赁养殖农户高9.95%。ESR结果表明,池塘租赁养殖户的生产力为9.73 kg/m2,非租赁养殖户为7.22 kg/m2。这一差异意味着池塘租赁养殖户的生产力提高了34.76%。因此,应鼓励养殖户参与池塘租赁市场体系,以提高其盈利能力和生产力。
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来源期刊
Journal of Applied Aquaculture
Journal of Applied Aquaculture Environmental Science-Ecology
CiteScore
3.20
自引率
0.00%
发文量
38
期刊介绍: The Journal of Applied Aquaculture is a platform for the sharing of practical information needed by researchers to meet the needs of investors, farm managers, extension agents and policy makers working to adapt aquaculture theory to achieve economic and food security objectives in the real world. The journal emphasizes multi-disciplinary research and case studies that propose financially and logistically viable solutions to observable problems.
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