基于可持续生计的精准扶贫分析方法及应用研究——以四川凉山彝族自治州为例

发布时间：2018-10-19 07:54

【摘要】：可持续生计框架是辩证思考贫困的影响因素及其形成过程的理论总结,有助于对精准扶贫进行规范化和系统化的研究。本文以可持续生计框架为蓝本,构建基于可持续生计的精准扶贫分析框架,并从影响农户生计的内因和外因视角,讨论精准扶贫的多维贫困识别指数(MPII)的基本构成。以四川省凉山州作为案例区域,建立具有本土特色的MPII指标体系;识别出420户贫困户,其中80.48%(338户)的建档立卡户与识别结果重叠;与建档立卡农户相比,所识别贫困农户在各单个维度和综合维度都几乎处于更劣势的水平,识别效果更加精准。根据贫困原因的相似性,可将贫困农户划分为人力资本贫困型、基础型资本贫困型、社会资本贫困型、多维资本贫困型、生计环境恶劣型等五种类型,并针对不同的贫困类型提出相应的帮扶措施。
[Abstract]:The framework of sustainable livelihood is a theoretical summary of dialectical thinking about the influencing factors of poverty and its forming process, which is helpful to the standardization and systematization of accurate poverty alleviation. Based on the framework of sustainable livelihood, this paper constructs an analytical framework of precision poverty alleviation based on sustainable livelihood, and discusses the basic composition of multidimensional poverty identification index (MPII) based on precision poverty alleviation from the perspective of internal and external factors that affect farmers' livelihood. Taking Liangshan Prefecture of Sichuan Province as a case study area, a MPII index system with local characteristics is established, and 420 poor households are identified, of which 80.48% (338 households) have overlapping identification results. The identified poor farmers are almost at a more inferior level in each single dimension and comprehensive dimension, and the identification effect is more accurate. According to the similarity of the causes of poverty, the poor farmers can be divided into five types: human capital poverty, basic capital poverty, social capital poverty, multidimensional capital poverty, poor livelihood environment, etc. And according to the different poverty types put forward the corresponding help measures.
【作者单位】：北京市社会科学院市情调研中心;西昌学院农业科学学院;上海财经大学财经研究所/城市与区域科学学院;浙江农林大学农民发展研究中心;北京市社会科学院经济研究所;
【基金】：国家自然科学基金项目(41461040) 教育部人文社会科学研究青年基金项目(13YJCZH050,14YJC790063,15YJCZH101) 浙江省哲学社会科学重点研究基地——中国农民研究中心课题(15JDNF01YB)~~
【分类号】：F323.8

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