| 摘要: |
| 数字经济空间关联网络的形成重塑了区域经济关联的物质基础与技术范式,从数字经济空间关联网络的碳减排效应假说与机制出发,选取2010—2023年中国263个地级市数据,借助修正的引力模型和社会网络分析来验证研究假说并对研究结果进行深入阐释。研究发现:考察期内数字经济空间关联网络的整体联动性逐渐增强,并具有显著的碳减排效应,而且能够通过引发能源消费强度下降、促进数字产业集聚、提升绿色技术创新水平等机制强化这一效应；空间上,在经济较发达的东部和中部地区、高碳排放的资源型城市、具备政策优势的数字经济试点地区,数字经济空间关联网络都显示出更强的减排效应。 |
| 关键词: 数字经济 空间关联网络 碳减排 修正引力模型 社会网络分析 |
| DOI：10.13216/j.cnki.upcjess.2026.04.0001 |
| 分类号:F124.5 |
| 基金项目:国家社会科学基金项目(22BTJ055) |
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| Digital Economy Spatial Correlation Network and Its Carbon Emission Reduction Effect:Empirical Evidence from Chinese Prefecture Level Cities |
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WANG Yanfei, TANG Xiumei
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(Department of Economics and Management, Party School of Chongqing Committee of CPC, Chongqing 400050, China)
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| Abstract: |
| The formation of spatial correlation networks in the digital economy has reshaped the material foundation and technical paradigm of regional economic linkages. Based on the carbon reduction effect hypothesis and influencing mechanism of such networks, this study employs panel data of 263 prefecture-level cities in China from 2010 to 2023. Using a revised gravity model and social network analysis, this paper verifies the research hypotheses and interprets the empirical results. The findings indicate that the overall connectivity of digital economy spatial correlation networks has steadily improved over the sample period, presenting a significant carbon emission reduction effect. This effect can be effectively enhanced by reducing energy consumption intensity, facilitating digital industry agglomeration, and promoting green technological innovation. Spatially, the carbon reduction effect exhibits evident regional heterogeneity and is more pronounced in eastern and central regions with higher economic development, high-carbon resource-based cities, and policy-supported digital economy pilot areas. |
| Key words: digital economy spatial correlation network carbon emission reduction adjusted gravity model social network analysis 英文编校:马志强 |
