中国省份多维贫困的动态测度——以中国健康与营养调查中的9省为例

发布时间：2018-04-30 05:20

本文选题：多维贫困 + 地区分解　；参考：《贵州财经大学学报》2014年01期

【摘要】：在主成分分析法的理论基础上,以中国健康与营养调查8个年度中的9个省份为研究对象,选取四个维度10项指标,测算了各省不同时期多维贫困的动态变化,并进一步考察省份间人均收入高低与多维贫困指数间的相关性。结果表明:中部的河南收入贫困最严重,其次为西部的贵州和广西,东部的江苏和东北部的黑龙江最小。然而,从多维贫困减小程度来看,减小幅度最大的为中部的湖北,而并非东部地区,下降幅度最小的为辽宁,也并非河南、贵州或广西;到2009年,湖南省多维贫困指数值最小,黑龙江和辽宁最高。因此,多维贫困与地区经济或家户收入之间呈弱相关关系。
[Abstract]:On the basis of principal component analysis (PCA) theory, 9 provinces in 8 years of China Health and Nutrition Survey were selected as research objects, and 10 indexes of four dimensions were selected to measure the dynamic changes of multidimensional poverty in different periods of time. Furthermore, the correlation between per capita income and multi-dimensional poverty index was investigated. The results show that income poverty is the most serious in central Henan, followed by Guizhou and Guangxi in the west, Jiangsu in the east and Heilongjiang in the northeast. However, from the perspective of the reduction of multidimensional poverty, the largest reduction is in Hubei in the central region, not in the eastern region, and the smallest in Liaoning, not in Henan, Guizhou or Guangxi. By 2009, Hunan Province had the smallest multi-dimensional poverty index. Heilongjiang and Liaoning are the highest. Therefore, there is a weak correlation between multidimensional poverty and regional economy or household income.
【作者单位】：湖北经济学院经济学系;五邑大学经济管理学院;
【基金】：国家社会科学基金项目“当前中国农村多维贫困的测度与反贫困政策研究”(11BJL040) 广东省自然科学基金项目“广东省经济益贫式增长的度量与潜在来源分解”(S2012010009683)的阶段性成果
【分类号】：F124.7;F224

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