Research on the Threshold Effect and Spatial Effect of FinTech on Regional Financial Risks
MENG Miao-miao1, ZHANG Zeng-lian2, LI Pei-yi3
1.School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China 2.School of Economics and Management, Beijing University of Science and Technology, Beijing 100083, China 3.School of Business Information, Shanghai Business School, Shanghai 201400, China
Abstract:From the provincial-level perspective of regional financial risks, and based on provincial-level panel data from 2011 to 2022, this study applies the panel threshold model and spatial threshold model to examine the threshold effect and spatial effect of fintech on China’s regional financial risks. The research shows the following findings: First, there exists an “inverted U-shaped” relationship between fintech and regional financial risks, with fintech first promoting and then suppressing regional financial risks, and this is equally applicable to both the breadth of fintech coverage and the depth of its use. Second, the development level of fintech in China is in a reasonable state overall, which is conducive to the prevention and control of regional financial risk. Third, the non-linear impact of fintech on China's regional financial risks has spatial effects. Therefore, in the future, China should accurately grasp the development laws of fintech, develop fintech steadily, incorporate fintech supervision into the existing regulatory framework, continuously improve the long-term fintech regulatory mechanism, and accelerate the circulation of fintech development factors among regions, promote inter-regional collaborative development of fintech and collaborative governance of financial risks.
孟苗苗, 张曾莲, 李佩轶. 金融科技对区域金融风险影响的门槛效应和空间效应研究[J]. 北京交通大学学报(社会科学版), 2025, 24(1): 99-110.
MENG Miao-miao, ZHANG Zeng-lian, LI Pei-yi. Research on the Threshold Effect and Spatial Effect of FinTech on Regional Financial Risks. journal6, 2025, 24(1): 99-110.
1 杨东.监管科技:金融科技的监管挑战与维度建构[J].中国社会科学,2018,(5):69-91+205-206. 2 程雪军.我国监管科技的风险衍生与路径转换:从金融科技“三元悖论”切入[J].上海大学学报(社会科学版),2022,39(1):74-90. 3 谷政,石岿然.金融科技助力防控金融风险研究[J].审计与经济研究,2020,35(1):16-17+11. 4 薛莹,胡坚.金融科技助推经济高质量发展:理论逻辑、实践基础与路径选择[J].改革,2020,(3):53-62. 5 胡滨,任喜萍.金融科技发展:特征、挑战与监管策略[J].改革,2021,(9):82-90. 6 龚强,马洁,班铭媛.中国金融科技发展的风险与监管启示[J].国际经济评论,2022,(6):45-70+5. 7 吕承超,何加豪.中国金融科技发展的区域差异、分布动态及收敛特征[J].财经问题研究,2023,(4):43-57. 8 刘孟飞,罗小伟.金融科技、风险传染与银行业系统性风险[J].经济社会体制比较,2022,(3):72-87. 9 林曦,王仁曾.金融科技对金融市场复杂性的影响研究——基于系统性金融风险视角[J].证券市场导报,2023,(10):68-79. 10 THAKOR A V. Fintech and Banking: What Do We Know? [J]. Journal of Financial Intermediation, 2020,41(1):1-13. 11 蒋业宏.我国金融开放、金融创新与金融风险之间的相互传导影响机制研究[J].新疆社会科学,2020,(5):30-38+170-171. 12 FOLEY S, KARLSEN J R, Putni?? T J. Sex, Drugs, and Bitcoin: How Much Illegal Activity Is Financed through Cryptocurrencies? [J]. Rerview of Financial Studies,2019,32(5):1798-1853. 13 李睿.金融科技是否推动了我国产业结构优化——基于空间效应和门槛效应的分析[J].经济与管理,2021,35(5):53-62. 14 KHALIL F, ALAM H M. Identification of Fintech Driven Operational Risk Events[J]. Journal of the Research Society of Pakistan,2020,57:75-87. 15 陶玲,朱迎.系统性金融风险的监测和度量——基于中国金融体系的研究[J].金融研究,2016,(6):18-36. 16 欧阳资生,熊家毅,马文博.数字金融如何影响我国区域性金融风险——基于空间杜宾模型的分析[J].统计研究,2024,41(5):24-35. 17 盛天翔,范从来.金融科技、最优银行业市场结构与小微企业信贷供给[J].金融研究,2020,(6):114-132. 18 侯层,李北伟.金融科技是否提高了全要素生产率——来自北京大学数字普惠金融指数的经验证据[J].财经科学,2020,(12):1-12. 19 郭峰,王靖一,王芳,等.测度中国数字普惠金融发展:指数编制与空间特征[J].经济学(季刊),2020,19(4):1401-1418. 20 唐松,伍旭川,祝佳.数字金融与企业技术创新——结构特征、机制识别与金融监管下的效应差异[J].管理世界,2020,36(5):52-66+9. 21 吴非,常曦,任晓怡.政府驱动型创新:财政科技支出与企业数字化转型[J].财政研究,2021,(1):102-115. 22 HANSEN B E. Threshold Effects in Non-dynamic Panels: Estimation, Testing and Inference[J]. Journal of Econometrics,1999,93(2): 345-368. 23 WANG Q Y. Fixed-effect Panel Threshold Model Using Stata[J]. The Stata Journal ,2015,(1) :121-134.