集中连片特困地区多维贫困测度及时空变迁

Multidimensional Poverty Measurement and Spatiotemporal Change in Concentrated Poverty-stricken Areas

基于2011~2016年样本数据,采用AF多维贫困测度方法对集中连片特困地区多维贫困进行测度,运用空间变异系数和Moran’s I指数对片区多维贫困的空间相关性及区域差异性作了分析。结果表明:集中连片特困地区总体贫困和各维度贫困都呈现显著的减缓现象,其中经济发展水平和社会发展水平的贡献率所占比重较高;各片区的多维贫困存在显著的空间差异,呈现出多维贫困指数东、中、西部地区依次递减的特征;各片区之间的多维贫困程度差异呈现不断缩小的趋势,在空间上存在显著的正相关性。

Based on the sample data from 2011 to 2016,AF multi-dimensional poverty measurement method is used to measure the multi-dimensional poverty in the concentrated poverty-stricken areas and the spatial correlation and regional differences of the multi-dimensional poverty in these areas are analyzed by using spatial variability coefficient and Moran’s I index.Poverty in all dimensions has shown a significant slowdown in which the contribution rate of economic development and social development is higher and there are significant spatial differences in the multi-dimensional poverty in each region,displaying the feature of declining in turn in terms of multi-dimensional poverty index in the eastern,central and western regions.Besides,the discrepancy of such index in different regions tends to lower gradually and there is significant positive correlation in the space.