中国快递经济空间关联网络及其驱动因素研究  

Research on Spatial Correlation Network of China’s Express Economy and Its Driving Factors

作　　者：陈蕾[1] 马青山 刘传明[3] Chen Lei;Ma Qingshan;Liu Chuanming(Finance and Economics College,Jimei University,Xiamen Fujian 361021,China;School of Economics,Zhongnan University of Economics and Law,Wuhan 430073,China;School of Economics,Central University of Finance and Economics,Beijing 102206,China)

机构地区：[1]集美大学财经学院,福建厦门361021 [2]中南财经政法大学经济学院,武汉430073 [3]中央财经大学经济学院,北京102206

出　　处：《统计与决策》2020年第24期78-83,共6页Statistics & Decision

基　　金：教育部人文社会科学研究项目(17JYA790012)。

摘　　要：文章基于修正的引力模型识别了快递经济发展的空间关联网络,采用社会网络分析方法对快递经济空间关联网络的网络结构进行了探讨,然后运用QAP模型对快递经济发展空间关联网络的影响因素进行了分析。研究发现:快递经济空间关联网络呈现出复杂的网络结构形态,考察期内快递经济空间关联网络的网络密度呈上升态势,网络等级度呈下降态势;江苏、上海、天津、北京、山东等省份的点度中心度、中介中心度和接近中心度较高,扮演着中心行动者角色;各地区交通基础设施差异、经济发展差异、居民可支配收入差异、人口数量差异是影响快递经济空间关联网络的主要因素。Based on the modified gravity model,this paper identifies the spatial correlation network of express economy development,discusses the network structure of express economy’s spatial correlation network with the social network analysis methods,and then applies QAP model to analyze the influencing factors of spatial correlation network of express economy development.The results show that the spatial correlation network of express economy presents a complex network structure,and during the investigation period,the network density of express economy’s spatial correlation network is on the rise,while the network level is on the decline,that Jiangsu,Shanghai,Tianjin,Beijing,Shandong and other provinces have a relatively higher degree of point centrality,betweenness centrality and closeness centrality,playing the role of central actors,that regional differences in transportation infrastructure,economic development,residents’disposable income and population size are the main factors affecting the spatial correlation network of express economy.

关 键 词：快递经济 空间关联网络 网络结构 QAP模型 

分 类 号：F124.1[经济管理—世界经济]