中国石油大学学报（社会科学版）2026，Vol.42Issue(4)：1-13,13.DOI:10.13216/j.cnki.upcjess.2026.04.0001
数字经济空间关联网络的碳减排效应
Digital Economy Spatial Correlation Network and Its Carbon Emission Reduction Effect:Empirical Evidence from Chinese Prefecture Level Cities
摘要
Abstract
The formation of spatial correlation networks in the digital economy has reshaped the material foundation and technical para-digm 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 a-nalysis,this paper verifies the research hypotheses and interprets the empirical results.The findings indicate that the overall connectiv-ity 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 agglom-eration,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.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Key words
digital economy/spatial correlation network/carbon emission reduction/adjusted gravity model/social network analysis分类
管理科学引用本文复制引用
王燕飞,唐秀梅..数字经济空间关联网络的碳减排效应[J].中国石油大学学报（社会科学版）,2026,42(4):1-13,13.基金项目
国家社会科学基金项目(22BTJ055) （22BTJ055）
