Does the bank’s FinTech innovation reduce its risk-taking? Evidence from China’s banking industry

面板数据 业务 背景(考古学) 经济 精算学 计量经济学 古生物学 生物
作者
Chengming Li,Si He,Yuan Tian,Shiqi Sun,Ning Lü
出处
期刊:Journal of Innovation & Knowledge [Elsevier]
卷期号:7 (3): 100219-100219 被引量:160
标识
DOI:10.1016/j.jik.2022.100219
摘要

In the context of developing FinTech innovation, a commercial bank’s use of FinTech innovation can improve its risk management capability, thereby reducing its risk-taking. This paper explores the impact and mechanism of a bank’s FinTech innovation on its risk-taking using panel data of 65 commercial banks between 2008 and 2020. We innovatively construct a bank-level index based on web crawler technology and obtain the annual numbers of news items about a bank’s FinTech innovation from each bank in Baidu News. The empirical results show that improvement in the bank’s FinTech innovation significantly reduces its risk-taking. To overcome endogenous problems, including measurement errors and omitted variables, we use the instrumental variables (IV) and difference-in-differences (DID) methods to test the hypothesis and obtain consistent estimated results. The mechanism analysis shows that banks rely on FinTech innovation to reduce their risk-taking by improving their operating income and capital adequacy ratio, optimizing their operating performance, and improving their risk control capabilities. Further, a heterogeneity analysis shows that the effect of a bank’s FinTech innovation in reducing its risk-taking is more pronounced in larger, state-owned, joint-stock, and highly-competitive commercial banks. Our research results still hold after a series of robustness tests, including changing the construction methods of the bank’s FinTech innovation index, replacing the bank’s risk-taking indicators, tail-shrinking treatment, and changing samples. Our findings provide micro evidence for the application of FinTech innovation in commercial banks to reduce their risk-taking.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
chinh完成签到,获得积分10
刚刚
温婉的从阳完成签到,获得积分10
刚刚
大个应助5High_0采纳,获得10
刚刚
001关闭了001文献求助
刚刚
1秒前
虚心的芹发布了新的文献求助10
1秒前
無期完成签到,获得积分10
1秒前
1秒前
芒果完成签到 ,获得积分10
1秒前
QG完成签到,获得积分10
2秒前
冯嘉淇完成签到,获得积分10
2秒前
隐形曼青应助why采纳,获得10
3秒前
3秒前
Gloria发布了新的文献求助10
4秒前
李静霆完成签到,获得积分10
4秒前
4秒前
5秒前
5秒前
科研通AI6.2应助肖肖采纳,获得10
5秒前
6秒前
6秒前
今后应助千阳采纳,获得10
6秒前
nan发布了新的文献求助10
6秒前
所所应助愉快的Jerry采纳,获得10
6秒前
野性的如波完成签到,获得积分10
7秒前
明亮的嚣完成签到,获得积分10
7秒前
相信光发布了新的文献求助10
8秒前
土土发布了新的文献求助10
8秒前
过氧化氢完成签到,获得积分10
8秒前
8秒前
yangminmin发布了新的文献求助10
8秒前
浅风完成签到,获得积分10
8秒前
关红张黑发布了新的文献求助10
9秒前
9秒前
小马甲应助小6s采纳,获得10
9秒前
9秒前
9秒前
希望天下0贩的0应助黎JX采纳,获得10
9秒前
正太低音炮完成签到,获得积分10
9秒前
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Propeller Design 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6016102
求助须知:如何正确求助?哪些是违规求助? 7597347
关于积分的说明 16151341
捐赠科研通 5163956
什么是DOI,文献DOI怎么找? 2764569
邀请新用户注册赠送积分活动 1745368
关于科研通互助平台的介绍 1634919