资产为基础的福利贫困的手工鱼养殖户在三角洲州,尼日利亚

Oboh, J. E., A. C. I.,, Emokaro C. O.,
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引用次数: 0

摘要

在尼日利亚三角洲州进行的这项研究侧重于主成分分析(PCA)的实证应用,这是一种基于资产的福利衡量标准,可用于评估发展中国家农村地区家庭的贫困水平。本研究采用问卷式入户调查数据收集方法。最后的财富指数是根据从河三角洲州社区的430户手工捕鱼家庭收集的数据得出的。测量家庭财富状况多个方面的16个变量的数据被用来提取一组用于构建指数的主成分。两个关键的统计检验,KMO和Bartlett的检验,显示了PCA数据的适当性。结果显示,有五个主要因素影响家庭的财富状况,从而影响家庭的福祉:家庭基础设施、能源、耐用家庭资产、水资源和流动性。因此,建议任何改善研究地区以及具有类似社会经济环境的其他地区农户福祉的努力都应考虑这些因素作为减轻贫困的切入点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Asset based wellbeing of poverty of artisanal fish farmers in delta state, nigeria
This research carried out in Delta State, Nigeria, focuses on the empirical application of Principal Component Analysis (PCA), an asset based measure of wellbeing which can be used to assess level of poverty among households in rural areas of developing countries. The study employed questionnaire-based household survey data collection methods. The final wealth index was derived using data collected from 430 artisanal fishing households in riverine Delta State communities. Data on 16 variables measuring multiple aspects of household wealth status were used to extract the set of principal components utilized in the construction of the index. Two key statistical tests, the KMO and Bartlett’s tests, showed the appropriateness of the data for PCA. Results revealed that five major factors influence the wealth status and hence the wellbeing of households: home infrastructure, energy sources, durable home assets, water sources and mobility. Therefore, it is suggested that any efforts to improve the wellbeing of farm households in the study area as well as in other regions with similar socio- economic settings should consider these factors as entry point to poverty alleviation.
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