详细信息

基于地理探测器的中国金融网络空间结构特征及影响因素研究    

Spatial structure characteristics and influencing factors of financial network of China based on geodetectors

文献类型:期刊文献

中文题名:基于地理探测器的中国金融网络空间结构特征及影响因素研究

英文题名:Spatial structure characteristics and influencing factors of financial network of China based on geodetectors

作者:杨雨[1];宋福铁[1];张杰[2]

机构:[1]华东理工大学商学院,上海200237;[2]华东师范大学中国行政区划研究中心,上海200241

年份:2023

卷号:46

期号:9

起止页码:1524

中文期刊名:干旱区地理

外文期刊名:Arid Land Geography

收录:CSTPCD;;Scopus;北大核心:【北大核心2020】;CSCD:【CSCD2023_2024】;

基金:国家自然科学基金面上项目(41771173);上海市哲学社会科学规划一般课题(2021BJB002)资助。

语种:中文

中文关键词:地理探测器;金融网络;空间结构;影响因素

外文关键词:geodetector;financial network;spatial structure;influencing factors

摘要:利用多行业金融机构的地理分布数据,运用社会网络分析方法对中国金融网络进行测度,借助地理探测器模型探讨中国金融网络空间结构形成的影响因素。结果表明:(1)金融网络呈现“核心-边缘”结构特征,但是金融网络的空间分异程度在缩小。另外,金融网络空间结构具有空间指向性。(2)影响全国、东部、中西部、核心和边缘地位金融网络发育的因子不同,这与不同区域经济发展水平、市场潜力、关键资源、区位条件和经营成本等不同紧密相关。(3)择优选择、路径依赖和网络邻近机制是金融网络空间结构形成所遵循的内在机理,在未来经济金融日趋融合的大背景下,各级政府需进一步在更大尺度上加强城市之间在金融方面的合作。通过研究中国金融网络空间结构特征及其影响因素,既可以为优化金融资源配置提供政策建议,也可以为推动城市间协调发展的政策制定提供科学依据。
This study uses data on the geographical distribution of financial institutions in multiple industries and applies social network analysis methods to examine Chinese financial networks.Additionally,a geographic detector model is applied to explore the factors influencing the formation of the networks’spatial structure.The results showed that:(1)Financial networks were found to be characterized by a“core-edge”structure,with core cities located mainly in the eastern region and peripheral cities located mainly in the central and western regions,while a decreasing degree of network spatial differentiation was found.In addition,the existence of spatial directionality was identified in the networks’spatial structure.The development of financial networks in the central and western regions and peripheral cities was found to be dependent on a“radiation”process arising from the eastern regions and core cities,in which the“trickle-down effect”on the extra-territorial cities is fully exploited.In the eastern region,infrastructure is well developed and the business environment and other related conditions are relatively good due to the region’s high level of economic development and the presence of many financial enterprise headquarters.(2)The factors that influence the development of financial networks differ across the country,eastern and central and western regions,and core and peripheral cities,being closely related to the respective economic development level,market potential,key resources,locational conditions,and operating costs.The factors affecting the development of financial networks are more diverse and the interactions between the influencing factors are more balanced in the central and western regions and peripheral cities than those in the eastern region and core cities.(3)Merit selection,path dependence,and network proximity are the inherent mechanisms followed in the formation of the networks’spatial structure;merit selection determines the spatial directionality of financial markets,while path dependency drives the formation of the networks’spatial structure and determines“coreedge”characteristics.In addition,the stronger the financial linkages between cities,the greater the capability of cities with higher network accessibility to utilize network resources.The study contributes to the theory of“space flows”and,in the context of increasing economic and financial integration,points to the need for governments at all levels to strengthen financial cooperation between cities,and to do so at a larger scale.While promoting financial and economic development,attention should be paid to unbalanced spatial structures,with particular recognition of the importance of promoting the coordinated development of cities in the central and western regions and of further leveraging the role of core cities as“radiation”drivers.Through its examination of the characteristics of the spatial structure of China’s financial network and its influencing factors,the study provides both policy recommendations regarding the optimization of financial resources allocation and a scientific basis for the formulation of policies aimed at promoting coordinated intercity development.

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