中国数字经济水平测度与相对地区差异分解——基于加权主成分评价法
Measurement of China's Digital Economy Level and Decomposition of Relative Regional Differences——Based on Weighted Principal Component Evaluation Method
王丙参 1魏艳华 1马立平2
作者信息
- 1. 天水师范学院 数学与统计学院,甘肃 天水 741001
- 2. 首都经济贸易大学 统计学院,北京 100070
- 折叠
摘要
文章基于保序假定将主成分评价法(PCEM)推广为加权PCEM(WPCEM),然后采用第一WPCEM对中国在2013-2021年的数字经济(DE)水平进行测度,将每年综合得分0.01-1化后,再利用Gini系数测算相对地区差异并进行空间、结构分解.研究结论:2013-2021年,中国DE系统稳定,但省市间竞争依然较强,与自身相比,各省市的DE水平逐年提高,新冠疫情对DE水平无阻碍作用;对于DE水平排名,北京、上海、浙江依次稳居前3,重庆、安徽、贵州、江西、广西进步较大;东部地区DE水平远高于中部、西部,而西部地区DE水平略高于中部;中国DE水平相对地区差异过大,先递减后上升,总体差异主要取决于地区间差异,从总体差异的结构分解看,数字化基础的贡献率最高,数字产业化的贡献率最低.
Abstract
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.
关键词
加权主成分评价法/数字经济/相对地区差异/Gini系数Key words
weighted principal component evaluation method/digital economy/relative regional differ-ences/Gini coefficient引用本文复制引用
出版年
2024
NETL
NSTL
万方数据