统计与决策2026，Vol.42Issue(12)：87-93,7.DOI:10.13546/j.cnki.tjyjc.2026.12.014
中国省域数实融合创新水平的时空演进及影响因素
Spatiotemporal Evolution and Influencing Factors of the Innovation Level of Digital-real Economy Integration in China's Provinces
摘要
Abstract
Based on the panel data of 31 provinces in China from 2011 to 2023,this paper uses the kernel density estimation method,Dagum Gini Coefficient method and Spatial Durbin Model to analyze the dynamic evolution characteristics,regional dif-ferences and influencing factors of the innovation level of digital-real economy integration.The results of the research are shown as follows:(1)During the study period,the innovation level of digital-real economy integration in China showed an overall steady upward trend,and the four major regions exhibited a development pattern of eastern region>western region>central region>northeastern region.(2)The development of the innovation level of digital-real economy integration among provinces was unbal-anced,and the absolute difference showed an expanding trend.(3)Interregional differences are the main source of the overall dif-ferences in the innovation level of digital-real economy integration,and the interregional difference between the eastern and west-ern regions is the largest.(4)Basic research significantly promotes the development of digital-real economy integration innovation in the local region and has a positive spatial spillover effect on neighboring regions.关键词
数实融合创新/数实融合专利/时空演进/空间杜宾模型Key words
innovation of digital-real economy integration/patent of digital-real economy integration/spatiotemporal evolu-tion/spatial Durbin model分类
管理科学引用本文复制引用
皮亚彬,林燕芳,梁力恒..中国省域数实融合创新水平的时空演进及影响因素[J].统计与决策,2026,42(12):87-93,7.基金项目
教育部人文社会科学研究青年基金项目(25YJC790079) （25YJC790079）
国家自然科学基金面上项目(72173032) （72173032）
