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长三角商贸流通网络结构特征、效应及影响因素——基于改进引力模型的社会网络分析
引用本文:刘举胜邱志萍,于长锐. 长三角商贸流通网络结构特征、效应及影响因素——基于改进引力模型的社会网络分析[J]. 商业经济与管理, 2020, 40(9): 5-18
作者姓名:刘举胜邱志萍  于长锐
作者单位:1. 上海财经大学 信息管理与工程学院
2. 上海财经大学 城市与区域科学学院
3. 上海财经大学 财经研究所
基金项目:国家自然科学基金项目;国家自然科学基金项目;上海财经大学研究生创新基金
摘    要:基于2005—2017年长三角41个城市数据,文章采用修正的引力模型构建加权有向商贸流通关联网络,并借助社会网络分析、OLS和QAP回归方法实证研究了长三角商贸流通网络结构特征及其效应和影响因素。研究发现:长三角商贸流通网络中节点联系日趋紧密且连通性增强,但存在明显的冗余联系和等级化特征;网络中各节点影响力的差异正在缩小,且省会城市仍占据商贸流通枢纽中心主导地位;特征向量中心性显著强化各节点商贸流通关联强度,中介中心性显著强化网络极化效应;收入水平、地方保护主义、金融发展、产业结构合理化、互联网、物流业发展和贸易开放的城际差异将显著影响商贸流通网络结构演变,其中金融发展、互联网信息基础设施和物流业发展发挥着关键性作用。

关 键 词:长三角  商贸流通网络  改进的引力模型  社会网络分析  QAP回归  
收稿时间:2020-05-11

Research on the Structural Features,Effects, and Influencing Factors of the Commercial Circulation Network in the Yangtze River Delta:Based on Social Network Analysis Method with Improved Gravity Model
LIU Jusheng QIU Zhiping YU Changrui. Research on the Structural Features,Effects, and Influencing Factors of the Commercial Circulation Network in the Yangtze River Delta:Based on Social Network Analysis Method with Improved Gravity Model[J]. Business Economics and Administration, 2020, 40(9): 5-18
Authors:LIU Jusheng QIU Zhiping YU Changrui
Affiliation:1. School of Information Management and Engineering, Shanghai University of Finance and Economics
2. School of Urban and Regional Science, Shanghai University of Finance and Economics
3. Institute of Finance and Economics, Shanghai University of Finance and Economics
Abstract:Based on the data of 41 cities in the Yangtze River Delta from 2005 to 2017, the paper uses a modified gravity model to construct a weighted and directed commercial circulation related network, and uses the social network analysis, OLS regression, and QAP regression to research the commercial circulation network's structural characteristics, effect, and influence factors empirically. The results show that, firstly, the nodes in the Yangtze River Delta commercial circulation network are getting closer and more connected, but obvious redundant connections and hierarchical characteristics still exist. Secondly, the different influence of each node in the network is shrinking; the provincial capital city still occupies the leading position of the network center. Thirdly, the eigenvectors centrality will significantly strengthen the linkage strength of each node, the intermediary centrality significantly strengthens the network polarization effect. Finally, the inter-urban differences in the aspects of income levels, local protectionism, financial development, rationalization of industrial structure, Internet development, logistics industry development, and trade openness will affect the evolution of the network significantly. Especially, financial development, Internet information infrastructure and logistics industry play a key role among them.
Keywords:Yangtze River Delta  commercial circulation network  adjusted gravity model  social network analysis  QAP regression  
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