铁道运输与经济2025，Vol.47Issue(2)：35-44,67,11.DOI:10.16668/j.cnki.issn.1003-1421.2025.02.05
我国省际数字物流空间关联网络结构特征及其驱动因素识别
Structural Characteristics of Interprovincial Digital Logistics Spatial Association Network and Identification of Its Driving Factors in China
摘要
Abstract
Taking the panel data of 30 Chinese provinces as research objects and based on the entropy method,this paper examined the characteristics of network structures associated with digital logistics space and its driving factors using kernel density estimation,modified gravity model,social network analysis,and QAP model.The results show that all Chinese provinces exist in the whole spatial correlation network,showing stable and complex spatial correlation relationships.However,the overall spatial correlation is low,and there is still a lot of room for the development of communication and collaboration in digital logistics among provinces.The spatial correlation network of digital logistics exhibits a significant"Matthew effect",with the eastern provinces playing a prominent and intermediary role and central and western provinces in a peripheral situation.The digital logistics spatial association network involves four major segments,with an obvious"club"effect existing in each segment.The matrices of geographic distance,financial support,scientific and technological innovation,and openness to the outside world strongly affect the formation of digital logistics spatial correlation networks.However,the matrices of economic development and social consumption have little effect on the formation of these networks.关键词
数字物流/空间关联网络/修正引力模型/社会网络分析/驱动因素Key words
Digital Logistics/Spatial Association Network/Modified Gravity Model/Social Network Analysis/Driving Factor分类
交通工程引用本文复制引用
李元豪,钱昭英..我国省际数字物流空间关联网络结构特征及其驱动因素识别[J].铁道运输与经济,2025,47(2):35-44,67,11.基金项目
贵州省哲学社会科学规划课题(22GZYB19) （22GZYB19）
