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

作　　者：王丙参[1] 魏艳华[1] 马立平[2] Wang Bingcan;Wei Yanhua;Ma Liping(School of Mathematics and Statistics,Tianshui Normal University,Tianshui Gansu 741001,China;School of Statistics,Capital University of Economics and Business,Beijing 100070,China)

机构地区：[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

出　　处：《天水师范学院学报》2024年第4期115-128,共14页Journal of Tianshui Normal University

基　　金：2021年国家自然科学基金资助“矩阵型变量的统计建模研究”(12071308);2023年天水师范学院高层次人才科研项目“复杂数据的无监督降维方法及其在综合评价中应用研究”(KYQ2023-13)阶段性成果。

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。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 decomposition.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,Shanghai,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 western regions,while the DE level in the western region is slightly higher than that in the central region;The relative 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 decomposition 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 

分 类 号：F49[经济管理—产业经济]