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Research on the Spatial Correlation and Influence Factors of Regional Internet Finance in China

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Listed:
  • Haihua Yu
  • Zhiyi Zhuo
  • Jing Zhang

Abstract

Based on the Internet Finance development index developed by Peking University in investigating 31 provinces, we use social network analysis to investigate the spatial correlation and influencing factors of the Internet Finance of China’s provinces. The research shows that the spatial correlation of Internet Finance of China’s provinces has significant characteristics of a regional gradient. The correlation among their correlation is moderate, more closely related, smooth, or weak. All provinces gather to form four plates; they play their respective functional advantages and have different statuses, functions, and roles. The differences between provinces in industrial structure, degree of marketization, infrastructure, degree of informatization, and geographical distance significantly affect the spatial correlation of Internet finance development in China, and the degree of influence decreases in turn. Our results might positively affect policymakers in promoting the coordinated development of regional Internet finance in China.

Suggested Citation

  • Haihua Yu & Zhiyi Zhuo & Jing Zhang, 2023. "Research on the Spatial Correlation and Influence Factors of Regional Internet Finance in China," SAGE Open, , vol. 13(3), pages 21582440231, August.
    • Handle: RePEc:sae:sagope:v:13:y:2023:i:3:p:21582440231193340
    DOI: 10.1177/21582440231193340
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    References listed on IDEAS

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    1. Ping Xie & Chuanwei Zou & Haier Liu, 2016. "The fundamentals of internet finance and its policy implications in China," China Economic Journal, Taylor & Francis Journals, vol. 9(3), pages 240-252, September.
    2. Yan Shen & Yiping Huang, 2016. "Introduction to the special issue: Internet finance in China," China Economic Journal, Taylor & Francis Journals, vol. 9(3), pages 221-224, September.
    3. Bai, Caiquan & Yan, Hong & Yin, Shanggang & Feng, Chen & Wei, Qian, 2021. "Exploring the development trend of internet finance in China: Perspective from club convergence," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    4. Zhuming Chen & Yushan Li & Yawen Wu & Junjun Luo, 2017. "The transition from traditional banking to mobile internet finance: an organizational innovation perspective - a comparative study of Citibank and ICBC," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 3(1), pages 1-16, December.
    5. Feng Guo & Sherry Tao Kong & Jingyi Wang, 2016. "General patterns and regional disparity of internet finance development in China: Evidence from the Peking University Internet Finance Development Index," China Economic Journal, Taylor & Francis Journals, vol. 9(3), pages 253-271, September.
    6. Tola, Vincenzo & Lillo, Fabrizio & Gallegati, Mauro & Mantegna, Rosario N., 2008. "Cluster analysis for portfolio optimization," Journal of Economic Dynamics and Control, Elsevier, vol. 32(1), pages 235-258, January.
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