马来半岛城市贫困与非贫困社区的差异特征

Joy M Mirasol, Zita I Dales
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摘要

贫穷是一个多方面的现象。本研究从人口、经济活动、环境卫生、识字率和教育、社会福利、食物短缺和食物门槛等八个方面对布基农马来亚巴拉伊市14528户家庭进行了研究。考虑到这些维度,在对所有家庭的多重反应的基础上,采用判别分析来确定贫困家庭和非贫困家庭的特征。分类结果显示,87.9%的家庭被正确划分为贫困和非贫困群体。初步结果进一步表明,识字、教育和环境卫生是群体分类的最强预测因素。此外,根据研究制定的分类规则,在确定的贫困户中,只有32.14%的贫困户是该市扶贫项目的受助人,而67.86%的受助人实际上并不贫困。本研究制定的分类规则与城市的分类规则不匹配。本文的分析当然不够复杂,无法完全根据这一结果设计出马来半岛市的全面减贫战略。不过,它确实为政策规划者提供了关于减轻贫穷的物品和服务分配的客观措施,这些措施可以通过部门性减少贫穷战略来实现。政策规划者应将这一结果视为一种指南,以更加知情的循证方式为减贫分配资源。关键词:差异特征,贫困,判别分析
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Differential Characteristics of Poor and Non-Poor Communities in Malaybalay City
Poverty is a multi-dimensional phenomenon. In this study, eight dimensions were considered: demography, economic activities, environmental sanitation, literacy and education, social welfare, food shortage and food threshold of 14,528 households of Malaybalay City, Bukidnon. Given these dimensions, discriminant analysis was used to establish the characteristics of poor and non-poor households on the basis of multiple responses on all households. The classification results reveal 87.9% of households were classified correctly into poor and non-poor groups.  Initial results further revealed that literacy and education and environmental sanitation were the strongest predictors of the group classification. Furthermore, on the basis of the classification rule developed in the study, of the identified poor households only 32.14% were recipients of the poverty reduction program of the city while 67.86% of the recipients were actually non-poor. The classification rule developed by this study did not match the classification rule of the city. The analysis of this paper is certainly not of sufficient complexity to allow a comprehensive poverty reduction strategy for Malaybalay City to be devised entirely from this result. Nevertheless, it does provide policy planners with objective measures on the distribution of goods and services for poverty alleviation that might be realized from sectoral poverty reduction strategy. Policy planners should view this result as a guide to allocate resources for poverty reduction in a more informed evidence-based manner.Keywords:  differential characteristics, poverty, discriminant analysis
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