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

On the Dynamic Multidimensional Measurement of China's Poverty in Different Provinces——The CHNS data among nine provinces

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。

This thesis is based on principal component analysis and chooses the China Health and Nutrition Survey data which includes nine provinces from 1989 to 2009. We choose ten indexes in four dimensions and use the non - equal weight method to analysis the dynamic multidimensional poverty during different periods. Moreover, we further analyze the relationship between per capita income and the multidimensional poverty index. Research shows that Henan province is the most serious income poverty and second is the Guizhou province and Guangxi province. Jiangsu province and Shandong province have the lowest income poverty. However, from the view of multidimensional poverty reduction, Hubei province has the most obvious decreases, and not Jiangsu and Shandong. The lowest is Liaoning province. Hunan province is the lowest in multidimensional poverty. Therefore, there exist a weak correlation between the multidimensional oovertv and household income.