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Proceedings of the 2nd International Conference on Big Data Economy and Digital Management, BDEDM 2023, January 6-8, 2023, Changsha, China

Research Article

Studies on Financial Center Selection Using Spatial Statistical Analysis and Combination Evaluation

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  • @INPROCEEDINGS{10.4108/eai.6-1-2023.2330316,
        author={Longxiao  Yuan and Yuxin  Jia},
        title={Studies on Financial Center Selection Using Spatial Statistical Analysis and Combination Evaluation},
        proceedings={Proceedings of the 2nd International Conference on Big Data Economy and Digital Management, BDEDM 2023, January 6-8, 2023, Changsha, China},
        publisher={EAI},
        proceedings_a={BDEDM},
        year={2023},
        month={6},
        keywords={financial center spatial statistical analysis combined evaluation mann-kendall test},
        doi={10.4108/eai.6-1-2023.2330316}
    }
    
  • Longxiao Yuan
    Yuxin Jia
    Year: 2023
    Studies on Financial Center Selection Using Spatial Statistical Analysis and Combination Evaluation
    BDEDM
    EAI
    DOI: 10.4108/eai.6-1-2023.2330316
Longxiao Yuan1, Yuxin Jia2,*
  • 1: University College London
  • 2: University of Oxford
*Contact email: 2360919540@qq.com

Abstract

For a long time, due to the level of economic development and natural resource endowment, China has had an obvious spatial-structural non-equilibrium. As an essential part of the economic system, finance exhibits relatively solid regional characteristics. Financial resources and related factors driven by them rapidly gather in the central cities, resulting in the gradual formation of regional financial centers. Financial centers realize the optimal allocation of available resources and drive regional economic growth through financial agglomeration, expansion diffusion, spillover, and economic growth. In this paper, spatial statistical analysis is successfully applied to the issue of financial agglomeration in China. The research results indicate that although China's regional economic growth has a statistically significant spatial aggregation distribution, the spatial aggregation distribution for financial development demonstrates a relatively insignificant level. Economic agglomeration far precedes the financial counterpart. The spatial agglomeration level of China's regional financial development is persistently increasing, as more-developed areas have particular driving effects on the financial development of surrounding provinces and cities. This pattern reflects the huge supporting role of regional financial centers on the economy and finance of surrounding areas.

Keywords
financial center spatial statistical analysis combined evaluation mann-kendall test
Published
2023-06-13
Publisher
EAI
http://dx.doi.org/10.4108/eai.6-1-2023.2330316
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