摘要
Abstract
This paper uses principal component analysis(PCA)to synthesize dimension reduction,then estimates the com-mon prosperity level of 30 provinces in China from 2008 to 2021,and finally uses Theil index,Moran's index,kernel density esti-mation method and Markov transfer probability matrix to analyze the regional difference,spatial autocorrelation characteristics,time evolution characteristics and dynamic evolution law of common prosperity level.The results go as the following:The common prosperity level of all provinces shows an upward trend from 2008 to 2021,and that of most provinces becomes positive in 2021.From the perspective of regional differences,the overall difference of China's common prosperity level shows a trend of fluctuation and decline.From the perspective of spatial autocorrelation characteristics,the common prosperity level of all provinces has obvi-ous positive spatial autocorrelation characteristics,and this correlation is evident between provinces that are geographically close to each other and provinces with similar levels of economic development.From the perspective of temporal evolution characteris-tics,the kernel density curves in eastern,central and western regions present the characteristics of multi-peak distribution,rela-tively flat,and the main peak shifting to the right.From the perspective of dynamic evolution law,the common prosperity level of each province has high stability,and the level transition mainly occurs between adjacent levels.关键词
共同富裕/主成分分析/区域差异/时空演进格局Key words
common prosperity/principal component analysis/regional differences/spatiotemporal evolution pattern分类
管理科学
