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金融网络中心性对中国城市经济增长的影响机理

Research on the Influence Mechanism of Financial Network Centrality on Urban Economic Growth in China

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【作者】 杨雨宋福铁张杰

【Author】 YANG Yu;SONG Futie;ZHANG Jie;School of Business, East China University of Science and Technology;Research Center for China Administrative Division, East China Normal University;

【通讯作者】 宋福铁;

【机构】 华东理工大学商学院华东师范大学中国行政区划研究中心

【摘要】 金融网络的发展深刻改变了城市间的知识溢出形式并进一步影响着城市经济增长水平,关于金融网络外部性的研究逐渐成为金融地理学的研究热点。本文基于2005—2020年中国金融行业企业的总部分支机构数据,运用社会网络分析及递归思想测算金融网络中心性并分析其时空分布格局,同时运用OLS模型分析金融网络中心性对中国城市经济增长的影响机理,研究发现:(1) 2005—2020年中国金融网络中心性呈现“核心—边缘”分布格局,但是金融网络的空间集聚程度在缩小;(2)金融网络的发展除了能够缓解融资约束之外,在网络外部性影响下,金融网络通过促进知识溢出等影响城市经济增长;;网络链接规模更大、可达性更好的城市具有更高的经济增长水平,空间溢出效应更加依赖于网络邻近性而非“场所空间”中的区位优势;(3)金融网络中心性促进资源溢出的程度呈现空间异质性,扮演“知识守门人”角色的核心地位城市能够从网络链接中获得更大的收益。未来应高度重视金融网络建设,充分发挥金融网络对中国城市经济增长的驱动作用。

【Abstract】 The development of financial network has profoundly changed the form of knowledge spillover between cities and further affected the level of urban economic growth. The research on the externality of financial network has gradually become a research hotspot in financial geography. With the assistance of the data of headquarters and branches of enterprises in China’s financial industry from 2005 to 2020, this paper combines the methods of social network analysis and recursion thought to calculate the centrality of financial network to analyze its spatial and temporal distribution pattern. Meanwhile, we use the OLS model to analyze the influence mechanism of financial network centrality on urban economic growth in China. The study finds that:(1) From2005 to 2020, the centrality of financial network showed a "core-edge" distribution pattern, but the spatial agglomeration degree of financial network was decreasing. In this paper, with the help of the Core/Periphery algorithm in UCINET software, cities are divided into core and peripheral cities according to the 2020 financial network,and finally 52 cities with core status, such as Beijing, Guangzhou, and Hangzhou, and 239 cities with peripheral status, such as Anshan, Binzhou, and Foshan, are identified. Cities in the eastern region play an important role in the allocation of financial network resources, forming a "core-periphery" pattern with Beijing,Shanghai, and Shenzhen as the core cities and the other cities as the periphery cities;(2) The development of financial network can not only alleviate financing constraints, but also affect urban economic growth by promoting knowledge spillovers under the influence of network externalities. Cities with larger network links and better accessibility have higher levels of economic growth, and the knowledge spillover effect is more dependent on network proximity than location advantage in "place space";(3) The degree of knowledge spillover promoted by financial network centrality shows spatial heterogeneity, and the core city which plays the role of "knowledge gatekeeper" can obtain greater benefits from network links. Due to the lack of "knowledge gatekeepers", peripheral cities are unable to make full use of external resources, which exacerbates the risk of being at the low end of the value chain and finally leads to the economic growth level of core cities much higher than that of peripheral cities. In the future, we should attach great importance to the construction of financial network and give full play to the driving role of financial network in urban economic growth in China.

【基金】 国家自然科学基金项目(41771173);上海市哲学社会科学规划一般课题(2021BJB002)~~
  • 【文献出处】 地球信息科学学报 ,Journal of Geo-information Science , 编辑部邮箱 ,2023年05期
  • 【分类号】F832;F299.2
  • 【下载频次】140
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