Measurement of China's Digital Economy Level and Decomposition of Relative Regional Differences——Based on Weighted Principal Component Evaluation Method
The paper generalizes the Principal Component Evaluation Method(PCEM)to Weighted PCEM(WPCEM)based on order-preserving assumptions.Finally,the paper uses WPCEM1 to measure China's digital economy(DE)level from 2013 to 2021,after converting the annual comprehensive score to 0.01-1,the Gini coefficient is used to calculate relative regional differences and perform spatial and structural de-composition.Research conclusions:In 2013-2021,the DE system in China is stable,but the competition among provinces is still strong,compared with itself,the DE level among provinces is increasing year by year,and the COVID-19 epidemic does not hinder the DE level;For the DE level ranking,Beijing,Shang-hai,and Zhejiang ranked steadily in the top 3,while Chongqing,Anhui,Guizhou,Jiangxi,and Guangxi made significant progress;The DE level in the eastern region is much higher than that in the central and west-ern regions,while the DE level in the western region is slightly higher than that in the central region;The rela-tive regional differences in China's DE level are too large,decreasing first and then increasing.The overall difference mainly depends largely on interregional variations,from the perspective of structural decomposi-tion of overall difference,the contribution rate of digital infrastructure is the highest,while the contribution rate of digital industrialization is the lowest.
weighted principal component evaluation methoddigital economyrelative regional differ-encesGini coefficient
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