The measurement and spatial-temporal evolution feature of digital finance development level for Chinese banking industry

被引:0
|
作者
Ming L. [1 ,2 ]
Ye B. [1 ]
Lu W. [1 ]
Yang S. [3 ,4 ]
机构
[1] School of Finance and Statistics, Hunan University, Changsha
[2] Financial Development and Credit Management Research Center of Hunan University, Changsha
[3] School of Finance, Hubei University of Economics, Wuhan
[4] Hubei Financial Development and Financial Security Research Center, Wuhan
基金
中国博士后科学基金;
关键词
digital finance; distribution dynamic; evolutionary feature; regional differences;
D O I
10.12011/SETP2023-0007
中图分类号
F4 [工业经济];
学科分类号
0202 ; 020205 ;
摘要
In the era of digital economy, the competition pattern of China’s banking industry is undergoing tremendous changes, and various digital technologies affect the business model and development level of banks. Based on the perspective of the integration of big data and traditional data, this paper uses factor analysis to measure the digital finance development level of 120 commercial banks in China from 2009 to 2019. Then, the kernel density estimation and the spatial panel Dubin model are used to investigate the temporal and spatial variation characteristics of the digital finance development for banks in China from two perspectives of time and space, and the evolution feature of regional differences and sources of bank digital finance is analyzed. Finally, the interactive relationship between the digital finance development level of banks and regional digital inclusive finance is examined. It is found that the digital finance level of Chinese commercial banks shows polarization differences over time. In the eastern region, there is a mutual promotion effect between bank digital finance and regional digital inclusive finance, while in the northeast region, there will be a suppression effect. In the central and western regions, there is no obvious interaction between them. This paper enriches the construction system of digital finance level measurement, and provides important reference experience for revealing the differences in the development of digital finance. It also explores countermeasures for synergistic improvement with regional digital inclusive finance. © 2024 Systems Engineering Society of China. All rights reserved.
引用
收藏
页码:1169 / 1180
页数:11
相关论文
共 22 条
  • [1] Huang Y P, Huang Z., Digital finance development in China: Present and future[J], China Economic Quarterly, 17, 4, pp. 1489-1502, (2018)
  • [2] Gao H Y, Fang J C, Li M., The power of FinTech in risk management: Evidence from China’s banking institutions[J], Systems Engineering — Theory & Practice, 42, 12, pp. 3201-3215, (2022)
  • [3] Guo F, Wang J Y, Wang F, Et al., Measuring China’s digital financial inclusion: Index compilation and spatial characteristics[J], China Economic Quarterly, 19, 4, pp. 1401-1418, (2020)
  • [4] Shen Y, Guo P., Internet finance, technology spillover and commertial banks TPF[J], Journal of Financial Research, 3, pp. 160-175, (2015)
  • [5] Wei C L, Guo B N., Research on FinTech innovation and alleviation of corporate financing constraints — Based on financial technology index calculation and empirical analysis[J], Price: Theory & Practice, 1, pp. 163-166, (2020)
  • [6] Sheng T X, Fan C L., FinTech, optimal banking market structure, and credit supply for SMEs[J], Journal of Financial Research, 6, pp. 114-132, (2020)
  • [7] Zhang Z P, Yang D D., Market competition, the expansion of new rural financial institutions and the development of inclusive finance: Inspection and comparison based on the provincial panel data[J], Chinese Rural Economy, 1, pp. 30-43, (2017)
  • [8] Jin H F, Li H J, Liu Y L., FinTech, banking risks and market crowding-out effect[J], Journal of Finance and Economics, 46, 5, pp. 52-65, (2020)
  • [9] Lin S, Yan H, Bian P., Researches on the evaluation of FinTech capacity of global systemically important banks[J], Journal of Financial Development Research, 1, pp. 20-29, (2020)
  • [10] Jiang S C, Liu C, Hu Y H, Et al., Influence factors of banking finance technology from the perspective of spatial spillover and regional differentiation: Based on the county panel data of a large state-owned commercial bank[J], Journal of Central University of Finance & Economics, 3, pp. 19-32, (2020)