Abstract

China has achieved significant achievements on poverty reduction effect since 1978, two hundred fifty million people have get rid of poverty. While with the relative poverty has become increasingly prominent, there are more dimensions which influence the poverty reduction effect. In order to make a comprehensive evaluation on poverty reduction effect for Chinese poverty-stricken areas, this paper presents a dynamic evaluation model based on the gray correlation method to measuring multidimensional poverty reduction effect by selecting the data of Chinese 14 contiguous poor areas. According to analyzing from three evaluation situations of current development, growth and comprehensive evaluation, the result shows that Desertification Area of Yunnan, Guangxi and Guizhou all have high rankings in comprehensive evaluation, current development evaluation and growth evaluation. While Qinba Mountain Area, Wuling Mountain Area and Dabie Mountain Area are ranked higher in current development evaluation than in growth evaluation, which indicates that these areas will have more difficulties in poverty reduction in the future. On the contrary, Tibet Area, Tree Districts in South Xinjiang and Daxing'anling Mountain Area are ranked lower in current development than in growth evaluation, which reflects that there are much more potential in poverty reduction in these areas.