铁道运输与经济2025，Vol.47Issue(10)：73-83,11.DOI:10.16668/j.cnki.issn.1003-1421.2025.10.07
中国物流业碳排放空间关联网络结构特征及影响因素研究
Research on Structural Characteristics and Influencing Factors of Spatial Correlation Network of Carbon Emissions of Logistics
摘要
Abstract
In recent years,China's logistics industry has developed rapidly,and its carbon emissions have received widespread attention.To analyze the spatial correlation of carbon emissions in the logistics industry of 30 provinces in China,starting from the perspective of relationship data and network,based on panel data of carbon emissions in China's inter-provincial logistics industry from 2011 to 2022,the gravity model and social network analysis method were comprehensively used to explore the structural characteristics and influencing factors of the spatial correlation network of carbon emissions in China's inter-provincial logistics industry.The results indicate that during the research period,the spatial correlation of carbon emissions in China's inter-provincial logistics industry continues to strengthen,and the spatial correlation network tends to stabilize,but the overall correlation strength is not high.Shandong,Jiangsu,Henan,and Guangdong are not only the centers of the spatial correlation network of carbon emissions in the logistics industry but also important bridges for other provinces to conduct spatial correlation of carbon emissions in the logistics industry.Factors such as economic development levels,transportation intensity,and transportation levels significantly affect the spatial correlation network of carbon emissions in China's inter-provincial logistics industry.关键词
物流业/碳排放/空间关联/社会网络分析法/结构特征Key words
Logistics Industry/Carbon Emission/Spatial Correlation/Social Network Analysis/Structure Characteristic分类
交通工程引用本文复制引用
耿立艳,张占福,杨雨佳,魏嘉骏..中国物流业碳排放空间关联网络结构特征及影响因素研究[J].铁道运输与经济,2025,47(10):73-83,11.基金项目
河北省社会科学基金专题项目(HB23ZT059) （HB23ZT059）
