武陵山片区多维贫困度量及其空间表征

发布时间：2018-12-14 06:14

【摘要】：连片特困地区是我国当今扶贫攻坚的主要战场,精准识别贫困人口及贫困类型是开展精准扶贫的关键。从多维贫困指数及发生率角度探讨我国扶贫问题已成为当今国内研究的焦点。在科学、系统设计多维贫困测算指标的基础上,以武陵山片区扶贫重点市(州)为例,构建基于"单维度、多维度识别及贫困加总/分解"多维贫困测算法对研究区域贫困人口进行测算与分析。利用Kriging法对非样本点进行空间插值,从而系统、合理地分析研究区域多维贫困的空间分布状况。结果显示:武陵山片区农村家庭存在多个维度的贫困,多维贫困发生率较高,多维贫困家庭达到了70.9%,重度贫困家庭达到了40.1%;多维贫困指数较高,其中燃料、人均收入、教育年限对贫困指数的影响较大;此外,不同地区各贫困指标差异不同,地处武陵山片区的怀化及湘西自治州的农村多维贫困问题比较严重。
[Abstract]:As the main battlefield of poverty alleviation in China, the identification of poverty population and poverty type is the key to carry out accurate poverty alleviation. From the perspective of multidimensional poverty index and incidence, poverty alleviation in China has become the focus of domestic research. On the basis of scientific and systematic design of multidimensional poverty measurement index, taking the key cities (states) of Wuling Mountain region as an example, the paper constructs a "single dimension". Multidimensional poverty measurement method is used to measure and analyze the poverty population in the study area. The spatial interpolation of non-sample points is carried out by using Kriging method, and the spatial distribution of multi-dimensional poverty in the region is analyzed reasonably. The results show that there are many dimensions of poverty in rural families in Wuling Mountain region, the incidence of multi-dimensional poverty is high, the number of multi-dimensional poor families reaches 70.9, and that of severe poor families reaches 40.1; Multi-dimensional poverty index is higher, among which fuel, per capita income, education years have a greater impact on the poverty index; In addition, there are different poverty indicators in different regions. Huaihua, located in Wuling Mountain region, and Xiangxi Autonomous Prefecture have serious multi-dimensional poverty problems.
【作者单位】：吉首大学商学院;中山大学管理学院;吉首大学旅游与管理工程学院;湖南商学院旅游管理学院;
【基金】：国家自然科学基金项目(71662012) 湖南省哲学社会科学基金项目(15YBX030) 生态旅游湖南省重点实验室开放基金项目(13) 湖南省自然与文化遗产研究基地项目(16JDZB066) 吉首大学2016国家社科基金培育项目
【分类号】：F323.8

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