多维视角下贫困的识别、追踪及分解研究——基于中国家庭追踪调查(CFPS)数据
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国家自然科学基金项目“财富集中与财富流动的动力学机制及财产性税收效应研究”(71670303);国家自然科学基金北京大学管理科学数据中心智库项目“农村人口老龄化背景下的精准扶贫研究”(2017KEY03);清华农村研究博士论文奖学金项目(201702)。


Study on Identification, Tracking and Decomposition of Poverty from Multidimensional Perspectives——Based on Data from China Family Panel Studies
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    摘要:

    基于多维贫困测度的分析框架和多重剥夺的福利损失,结合中国家庭追踪调查(CFPS)2010、2012和2014年的数据,考察农村地区贫困的识别、追踪和分解。研究表明:从健康、教育、生活状况、卫生条件、食物支出与收入水平六个维度综合来看,考察期内农村地区的多维贫困有所改善;相比一维视角的收入贫困,多维视角下可以借助更多信息对贫困户进行有效地识别和追踪;对多维贫困指数的分解发现,一些特定维度(如教育、生活状况和卫生状况等)的变化对于多维贫困指数变化的影响较大。得出政策启示:对贫困的识别应当借助多维视角的福利剥夺,以便尽可能“识真贫”和“扶真贫”;对于贫困的改善应当致力于贫困户福利水平和脱贫能力的改善;扶贫过程中,应注重一些特定维度对贫困户脱贫能力的影响,将这些维度作为扶贫政策的重要着力点。

    Abstract:

    Based on Alkire-Foster’s analytical framework on multidimensional poverty measurement and the welfare loss of multiple deprivation,this paper uses data of China Family Panel Studies(CFPS) in 2010,2012 and 2014 to study the identification,tracking and decomposition in rural China. The result shows that during the observed period,the situation of multidimensional poverty in rural areas has improved from the following 6 dimensions of health,education,living standard,sanitation,food security and income. Compared with the income perspective,the information of multiple dimension can be useful for the identification and tracking of the poor households effectively. The decomposition of the multidimensional poverty index shows that the changes in some non-income dimensions such as education,living conditions and health have huge impact on the changes of the multidimensional poverty index. The policy implications of the study are as follows:the identification of poverty should be made by the deprived welfare of the multidimensional perspective in order to “identify the real poverty” and “help the real poverty” as much as possible; the improvement of poverty should focus on improving the welfare level and ability in escaping from poverty of the poor households. Finally,it is essential to pay more attention to the impact of some specific nonincome dimensions on escaping from poverty of the poor households and increase poverty status of farmers.

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张 昭,吴丹萍.多维视角下贫困的识别、追踪及分解研究——基于中国家庭追踪调查(CFPS)数据[J].华中农业大学学报(社会科学版),2018(3):90-99

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  • 在线发布日期: 2018-04-26
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