“收入导向型”多维贫困的识别与流动性研究——基于CFPS调查数据农村子样本的考察

发布时间：2018-03-11 17:04

本文选题：多维贫困　切入点：贫困识别　出处：《经济理论与经济管理》2017年02期 　论文类型：期刊论文

【摘要】：本文结合收入及健康、教育、生活状况、卫生状况和食物支出五个非收入指标,构建了"收入导向型"多维贫困指数,采用中国家庭追踪调查(CFPS)数据的农村子样本,考察多维贫困的识别、追踪和流动性问题。在比较了6维贫困指标和多维贫困指标对贫困识别的效果后研究发现,仅依据收入、教育和生活状况三个维度即可有效识别和追踪贫困家庭,并且在这三个维度下均处于贫困状态的农村家庭跳出贫困陷阱的概率显著低于一般收入贫困家庭。研究表明,扶贫政策应当在减少收入贫困基础上更多关注多重剥夺对贫困家庭整体福利的影响,并致力于提高贫困家庭的持续脱贫能力以增强其跳出贫困陷阱的可能性。
[Abstract]:Combining income and health, education, living condition, health status and food expenditure five non-income indicators, this paper constructs a "income-oriented" multi-dimensional poverty index, and uses the Chinese household tracking survey (CFPS) data as a rural sub-sample. This paper examines the identification, tracking and mobility of multidimensional poverty. After comparing the effects of six dimensional poverty indicators and multidimensional poverty indicators on poverty identification, it is found that only based on income, Three dimensions of education and living conditions can effectively identify and track poor families, and rural households in all three dimensions are significantly less likely to escape the poverty trap than those with average income poverty. Poverty alleviation policies should pay more attention to the impact of multiple deprivation on the overall welfare of poor families based on reducing income poverty and focus on enhancing the ability of poor families to extricate themselves from poverty in a sustained manner in order to enhance their chances of escaping the poverty trap.
【作者单位】：北京师范大学经济与工商管理学院;
【基金】：教育部新世纪优秀人才支持计划(NCET-13-0066) 北京师范大学中央高校基本科研业务费专项资金项目(SKZZB2014007)的资助
【分类号】：F323.8

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