多维贫困视角下的民族地区精准扶贫——基于CHES2011数据的分析

发布时间：2018-02-25 23:28

本文关键词： 多维贫困民族地区精准扶贫　出处：《民族研究》2017年01期 　论文类型：期刊论文

【摘要】：本文采用多维贫困测量方法,构建了适用于研究中国民族地区农村多维贫困的MPI指标体系,对民族地区农村多维贫困问题做了实证分析。分析结果表明,多维贫困存在地区和民族差异,西南三省区(贵州、广西、湖南)的多维贫困较西北四省区(宁夏、青海、新疆和内蒙古)更严峻,少数民族多维贫困较汉族严峻。与收入贫困类似,民族间多维贫困差异与区域差异存在一定程度的耦合。维度分解结果表明,民族地区贫困农户面临的最严重问题是教育、地势、自然灾害、固定资产等问题。因此,精准扶贫战略的实施需要从多维视角更加全面、更加科学地对贫困人口进行精准识别、精准施策。
[Abstract]:In this paper, the multi-dimensional poverty measurement method is used to construct the MPI index system suitable for the study of multi-dimensional poverty in the rural areas of ethnic minority areas in China, and an empirical analysis of the problem of multi-dimensional poverty in the rural areas of ethnic minority areas is made. The results show that, There are regional and ethnic differences in multidimensional poverty. The multidimensional poverty in the three southwestern provinces (Guizhou, Guangxi, Hunan) is more severe than that in the four northwest provinces (Ningxia, Qinghai, Xinjiang, and Inner Mongolia). The multidimensional poverty of ethnic minorities is more severe than that of Han nationality. Similar to income poverty, there is a certain degree of coupling between multi-dimensional poverty differences and regional differences. The result of dimensional decomposition shows that education is the most serious problem faced by poor farmers in ethnic minority areas. Therefore, the implementation of precision poverty reduction strategy needs to be more comprehensive from a multidimensional perspective, more scientific and accurate identification of the poor population.
【作者单位】：中国社会科学院民族学与人类学研究所民族经济研究室;
【基金】：国家社科基金特别委托项目“21世纪初中国少数民族地区经济社会发展综合调查”(项目编号:13@ZH001) 中国社会科学院民族学与人类学研究所民族经济研究室创新课题“民族地区全面脱贫与小康社会建设研究”的阶段性研究成果
【分类号】：F323.8

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