创新科技2026，Vol.26Issue(1)：76-92,17.DOI:10.19345/j.cxkj.1671-0037.2026.1.6
中国数绿融合的综合评价、空间关联网络及驱动机制
Comprehensive Evaluation,Spatial Correlation Network,and Driving Mechanism of Digital-green Integration in China
摘要
Abstract
In the context of the coordinated development of the in-depth advancement of the"dual carbon"goals and the full-scale implementation of the Digital China initiative,the integra-tion of digital and green development has become a key engine for fostering new high-quality productivity,promoting high-quality development,and advancing Chinese modernization.Based on the panel data of 30 provinces(autonomous regions and municipalities)in China from 2012 to 2022,this paper breaks through the traditional coupling coordination analysis framework,fo-cuses on the"full-cycle"perspective of digital and green integration,and innovatively con-structs a progressive evaluation index system from three dimensions:"integration foundation—integration depth—integration performance".The entropy method is used to measure the level of digital and green integration,and the modified gravity model is used to construct the spatial cor-relation matrix.The social network analysis method is combined to analyze the spatial network structure characteristics,and the quadratic assignment procedure(QAP)is adopted to deeply ex-plore the driving mechanism of network formation.The results show that:①Spatial evolution trend:The level of digital and green integration in China has generally shown a steady upward trend,with an average annual growth rate of 6.80％,but regional differentiation is significant,presenting a spatial pattern of"high in the east and low in the west,high in the south and low in the north".The eastern coastal areas have formed a core growth pole,while the central and west-ern regions,although having improved,still lag behind the east due to factors such as a lack of talent and a weak innovation ecosystem.②Spatial correlation network characteristics:The spa-tial network structure of digital and green integration in China has initially taken shape,but the overall network density is low,and regional cooperation is weak,presenting a"core-periphery"structure.Beijing,Shanghai,Jiangsu,and Guangdong in the east are at the core of the network,while the participation of the central and western regions has improved but is still relatively weak,and the participation of the northwest and northeast peripheral regions is low.Block model analysis divides different regions into four major blocks:net spillover,two-way spillover,main beneficiary,and isolated.The cross-block spillover effect is significant.③Driving mechanism:The level of industrial structure,the level of data elements,spatial adjacency relationships,and differences in economic development levels are the core driving forces for the formation and evo-lution of the spatial correlation network of digital and green integration.Among them,the level of data elements and economic development levels have a significant positive promoting effect on the formation of the spatial correlation network.The industrial structure reduces cross-regional transaction risks by optimizing resource allocation,and spatial adjacency relationships strengthen inter-regional cooperation through the flow of factors and industrial collaboration.However,insufficient policy coordination and regional imbalance in scientific and technological talents to some extent restrict cross-regional integration.Finally,based on the above conclu-sions,three policy implications are drawn from three dimensions:First,rely on spatial adjacency advantages to build regional collaborative clusters to achieve deep integration and balanced re-gional development;Second,break regional barriers,build cross-regional collaboration plat-forms,and enhance the radiation and driving role of the east on the central and western regions;Third,optimize policy coordination and market environment,and improve the coverage of digital infrastructure.关键词
数绿融合/空间关联网络/社会网络分析/驱动机制/QAP回归分析/区域协调发展/空间溢出效应/数字经济Key words
integration of digital and green development/spatial correlation network/social network analysis/driving mechanism/QAP regression analysis/regional coordinated develop-ment/spatial spillover effects/digital economy分类
管理科学引用本文复制引用
聂长飞,袁永雯,冯苑..中国数绿融合的综合评价、空间关联网络及驱动机制[J].创新科技,2026,26(1):76-92,17.基金项目
国家社会科学基金青年项目"数字营商环境赋能技术市场完善的机制与路径研究"(25CJY018) （25CJY018）
江西省自然科学基金青年项目"数字基础设施对企业减污降碳的影响:统计测度、机制识别与协同增效策略"(20252BAC200154) （20252BAC200154）
江西省高校人文社会科学研究青年项目"数字化绿色化'双化协同':理论框架、驱动机制与优化路径"(JJ24204). （JJ24204）
