FinTech development and commercial bank efficiency in China

被引:23
|
作者
Lee, Chien-Chiang [1 ]
Ni, Wenjie [2 ]
Zhang, Xiaoming [3 ]
机构
[1] Nanchang Univ, Sch Econ & Management, Nanchang, Peoples R China
[2] Univ Hongkong, Business Sch, Hongkong, Peoples R China
[3] Beijing Jiaotong Univ, Dept Finance, Beijing, Peoples R China
关键词
FinTech; Commercial bank efficiency; Total factor productivity; DEA -Malmquist model; Text mining method; China; OWNERSHIP; PERFORMANCE; INNOVATION;
D O I
10.1016/j.gfj.2023.100850
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
The rapid development of financial technology (FinTech) is challenging the business of commercial banks. This research analyzes the impact mechanisms of FinTech on the efficiency of commercial banks in China, drawing from the principles of consumer theory, disruptive innovation theory, and technology spillover theory. We apply the DEA-Malmquist model to calculate the total factor productivity of 74 commercial banks from 2012 to 2019 and utilize the text mining method to construct the FinTech development index during the same period. Finally, this study investigates FinTech's effects on commercial bank efficiency in China through the dynamic panel-generalized model of moments. The results show the following. First, FinTech development reduces the commercial bank efficiency for the overall effect. Second, its development affects the debt side of commercial banks, which becomes less efficient because of the rising debt cost. Third, various types of commercial banks are impacted differently by FinTech; urban commercial and rural commercial banks are the most influenced by FinTech, while joint-stock banks are the least influenced. Fourth, regional commercial banks are impacted more by FinTech, with those in the east region more affected. The research conclusions offer theoretical and practical values for deepening the reform of commercial banks and for developing and applying FinTech.
引用
收藏
页数:20
相关论文
共 50 条
  • [41] Empirical Analysis on Operation Efficiency of Commercial Bank in China Based on Data Envelopment Analysis
    Yang Rui
    Wang JunZeng
    Zhou Jie
    Yuan Qian
    CONFERENCE ON WEB BASED BUSINESS MANAGEMENT, VOLS 1-2, 2010, : 990 - 994
  • [42] Commercial bank ownership and performance in China
    Boateng, Agyenim
    Huang, Wei
    Kufuor, Nana Kwabena
    APPLIED ECONOMICS, 2015, 47 (49) : 5320 - 5336
  • [43] How FinTech Affects Bank Systemic Risk: Evidence from China
    Qian Chen
    Chuang Shen
    Journal of Financial Services Research, 2024, 65 : 77 - 101
  • [44] The impact of Fintech on bank development: A meta-analysis investigation
    Wang, Wei
    Guan, Songze
    Li, Juan
    Tang, Yuefei
    He, Tianyu
    E & M EKONOMIE A MANAGEMENT, 2025, 28 (01): : 152 - 169
  • [45] The impact of bank FinTech on green credit allocation: Evidence from China
    Deng, Yumiao
    Fang, Mengmeng
    Ma, Sichao
    Wang, Fanzhi
    Wu, Wanting
    FINANCE RESEARCH LETTERS, 2025, 71
  • [46] Impact of Fintech on Bank Risk-Taking: Evidence from China
    Deng, Liurui
    Lv, Yongbin
    Liu, Ye
    Zhao, Yiwen
    RISKS, 2021, 9 (05)
  • [47] FinTech adoption and bank risk-taking: evidence from China
    Guo, Pin
    Cheng, Maoyong
    Shen, Yue
    APPLIED ECONOMICS LETTERS, 2024, 31 (07) : 594 - 602
  • [48] Bank Fintech and firm leverage adjustment speed: Evidence from China
    Liu, Haiming
    Hu, Jikong
    RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE, 2025, 73
  • [49] Does bank FinTech reduce credit risk? Evidence from China
    Cheng, Maoyong
    Qu, Yang
    PACIFIC-BASIN FINANCE JOURNAL, 2020, 63
  • [50] How FinTech Affects Bank Systemic Risk: Evidence from China
    Chen, Qian
    Shen, Chuang
    JOURNAL OF FINANCIAL SERVICES RESEARCH, 2024, 65 (01) : 77 - 101