中国农村多维贫困测度研究——以辽宁省农村为例

Multidimensional Poverty Measure Research in China——As an example in Liaoning province rural

基于综合贫困量度——R指数,利用2010年辽宁省农村入户调查数据,按照教育、健康、保险、土地、收入5个维度对多维贫困进行测量,同时按照维度、地区对多维贫困指数进行分解.研究结果:辽宁省农村的多维贫困状况远远高于以收入为标准测量的贫困发生率;维度分解表明,健康、保险、教育对多维贫困指数贡献最大;地区的分解表明,康平县多维贫困指数最高.

Based on the comprehensive poverty measure R index, we use 2010 rural household survey data in liaoning province and measure multidimensional poverty according to education, health, insurance, land, income which are 5 dimensions. Meanwhile, according to the dimension, the region , multidimensional poverty index are decomposed .Research results： Liaoning province rural poverty is far higher than poverty rate of income; Dimension decomposition show： health, insurance, education have the largest contribution for multidimensional poverty index; the region＇s decomposition show： KangPing County have the highest multidimensional poverty index.