中国多维贫困的动态测算、结构分解与精准扶贫

发布时间：2018-03-10 12:20

本文选题：多维贫困　切入点：结构分解　出处：《财经研究》2017年04期 　论文类型：期刊论文

【摘要】：贫困的多维福利剥夺程度高低和持续时间长短是近年来理论界关注的焦点,也是政府制定精准扶贫政策的重要理论依据。文章综合Alkire和Foster(2011)提出的多维贫困测算方法和Foster(2009)提出的长期贫困测算方法,构建了长期多维贫困指数和暂时多维贫困指数,实证分析了中国的贫困状况,并进行了城乡分解、指标分解和区域分解。结果发现:第一,样本家庭在多维视角下的长期贫困比例要高于暂时贫困,这与单一地从收入角度来分析长期贫困和暂时贫困的结论恰好相反;第二,对于所有类型的贫困而言,教育年限、医疗保险和健康的贡献度都排在前三位,但健康对于长期贫困人口的贡献度要明显高于暂时贫困;第三,总体看来,农村的多维贫困程度不仅高于城市,而且很多指标的贫困持续时间也要高于城市;第四,从四大区域看,经济发展水平较低的中西部地区,长期多维贫困程度要高于东部和东北部地区。
[Abstract]:The degree and duration of multi-dimensional welfare deprivation of poverty have been the focus of the theoretical circle in recent years. It is also an important theoretical basis for the government to formulate the policy of precision poverty alleviation. The paper synthesizes the multi-dimensional poverty measurement method proposed by Alkire and Foster 2011) and the long-term poverty measurement method put forward by Foster 2009), and constructs the long-term multi-dimensional poverty index and the temporary multi-dimensional poverty index. This paper empirically analyzes the poverty situation in China, and analyzes the urban and rural areas, indicators and regions. The results show that: first, the long-term poverty rate of sample families is higher than that of temporary poverty in multidimensional perspective. This is the opposite of a single analysis of chronic and temporary poverty from an income perspective; second, for all types of poverty, years of education, health insurance and health are among the top three contributors. But the contribution of health to long-term poor population is obviously higher than that of temporary poverty; third, overall, the degree of multi-dimensional poverty in rural areas is not only higher than that in cities, but also the duration of poverty in many indicators is higher than that in cities; 4th, Looking from the four regions, the long-term multi-dimensional poverty level in the middle and west regions with low economic development level is higher than that in the eastern and northeast regions.
【作者单位】：湖北经济学院经济与环境资源学院;武汉大学经济与管理学院;
【基金】：湖北省教育厅哲学社会科学研究重大项目(16ZD031) 国家社会科学基金项目(16BGL125)
【分类号】：F323.8

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