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金融研究  2019, Vol. 470 Issue (8): 58-76    
  本期目录 | 过刊浏览 | 高级检索 |
互联网金融、存款竞争与银行风险承担
郭品, 沈悦
西安交通大学经济与金融学院,陕西西安 710061
Internet Finance,Deposit Competition, and Bank Risk-taking
GUO Pin, SHEN Yue
School of Economics and Finance,Xi'an Jiaotong University
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摘要 本文通过构建纳入互联网金融的银行环形城市模型,推演了“互联网金融→存款结构/付息成本→银行风险承担”的传导机制。在此基础上,以2003-2016年我国83家商业银行为样本,建立多重中介效应模型进行实证检验。研究结果表明:(1)互联网金融发展经由恶化存款结构和抬高付息成本两种渠道显著加重了银行风险承担水平,其中,恶化存款结构效应的相对贡献为50%左右,抬高付息成本效应的相对贡献为35%左右;(2)相较于互联网渠道构筑业态,互联网支付结算、互联网资源配置和互联网财富管理业态对银行存款结构和付息成本的不利影响更为强烈;(3)相对于国有、大规模、低流动性和低资本充足率商业银行,面对互联网金融的冲击,非国有、小规模、高流动性和高资本充足率商业银行的客户存款流失更快,平均付息成本上涨更多。
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郭品
沈悦
关键词:  互联网金融  银行风险承担  存款结构  付息成本  多重中介效应模型    
Summary:  Amid advances in information technology and financial innovation, internet finance practices are changing continuously, and new internet finance models are constantly emerging. Since 2013, the development of internet finance has created significant prosperity, leading to rapid changes in how people conduct financial activities and fundamentally altering the financial ecosystem. Commercial banks, the mainstay of the traditional financial sector, are facing increasingly fierce deposit competition. The 19th National Congress of the Communist Party of China in October 2017 proposed “perfecting the financial supervision system and holding the bottom line of systemic financial risks.” The March 2018 meeting of the Central Committee of Finance and Economics emphasized that “preventing and defusing financial risks is related to national security, overall development, and people's property security.” These statements, coming against the backdrop of the rise of internet finance, identified the regulation of bank risk-taking as a central requirement. This raises several important questions: how does internet finance affect bank risk-taking through the channel of intensifying deposit competition? Do the various models of internet finance have heterogeneous impacts on commercial banks? Do different types of commercial banks have diverse responses to internet finance? These are important practical and theoretical issues that need to be solved to prevent bank risks and deepen financial system reform.
   By constructing a bank circular city model that incorporates internet finance, this paper deduces the following transmission mechanism: internet finance → deposit structure/interest-paying costs → bank risk-taking. Then, based on an internet finance index (constructed via text mining) as the core explanatory variable and using a sample of 83 commercial banks in China from 2003 to 2016, a multiple mediation model is built for empirical testing. Furthermore, this paper uses system generalized moment estimation (SYSGMM), iterative seemingly uncorrelated estimation (SUR-i), and instrument variable (IV) technology to verify the existence and dual heterogeneity of the above effects.
   The main conclusions of this paper are as follows: 1) The development of internet finance has significantly increased the risk-taking level of banks through deposit structure deterioration and interest-paying cost increases; the relative contribution of deposit structure deterioration is about 50%, and that of interest-paying cost increases is about 35%. 2) Relative to internet channel construction, the paper finds that internet payment settlement, internet resource allocation, and internet wealth management have stronger negative impacts on banks' deposit structure and interest-paying costs. 3) Compared with state-owned, large-scale, low-liquidity, and low-capital-adequacy commercial banks, non-state-owned, small-scale, high-liquidity, and high-capital-adequacy commercial banks suffer more rapid losses of customer deposits and larger increases in average interest-paying costs when confronted with challenges from internet finance.
   This paper makes several contributions to the literature. First, based on the unique economic and financial environment of China, this paper constructs a bank circular city model that incorporates internet finance and deduces the internal transmission mechanism of internet finance → deposit structure/interest-paying costs → bank risk-taking. Second, by establishing a multiple mediation model, this paper for the first time verifies the mechanism of internet finance development's impact on bank risk-taking; it also evaluates the relative contribution of two aspects of this impact, deposit structure deterioration and interest-paying cost increases. Lastly, while earlier studies pay more attention to the overall impact of internet finance on commercial banks, this paper divides internet finance into four typical models according to financial function to explain the heterogeneous impacts of various models on commercial banks. In addition, using four dimensions of banks (property-rights type, asset scale, liquidity level, and capital strength), this paper examines the diverse responses of different types of commercial banks to internet finance.
Keywords:  Internet Finance    Bank Risk-taking    Deposit Structure    Interest-paying Cost    Multiple Mediation Model
JEL分类号:  G21   G23   E44  
基金资助: * 本文感谢国家社会科学基金(编号17ZDA147、19BJY259)和国家自然科学基金(编号71673214、71373201)的资助。
作者简介:  郭 品,经济学博士,助理研究员,西安交通大学经济与金融学院,E-mail:guopin198961@163.com.
沈 悦,经济学博士,教授,西安交通大学经济与金融学院,E-mail:shenyuel@mail.xjtu.edu.cn.
引用本文:    
郭品, 沈悦. 互联网金融、存款竞争与银行风险承担[J]. 金融研究, 2019, 470(8): 58-76.
GUO Pin, SHEN Yue. Internet Finance,Deposit Competition, and Bank Risk-taking. Journal of Financial Research, 2019, 470(8): 58-76.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2019/V470/I8/58
[1] 邓向荣和张嘉明,2018,《货币政策、银行风险承担与银行流动性创造》,《世界经济》第4期,第28~52页。
[2] 郭品和沈悦,2015,《互联网金融加重了商业银行的风险承担吗?——来自中国银行业的经验证据》,《南开经济研究》第4期,第80~97页。
[3] 郭晔和赵静,2017,《存款保险制度、银行异质性与银行个体风险》,《经济研究》第12期,第134~148页。
[4] 刘莉亚、余晶晶、杨金强和朱小能,2017,《竞争之于银行信贷结构调整是双刃剑吗?——中国利率市场化进程的微观证据》,《经济研究》第5期,第131~145页。
[5] 邱晗、黄益平和纪洋,2018,《金融科技对传统银行行为的影响——基于互联网理财的视角》,《金融研究》第8期,第17~29页。
[6] 申创和刘笑天,2017,《互联网金融、市场势力与商业银行绩效》,《当代经济科学》第5期,第16~29页。
[7] 沈悦和郭品,2015,《互联网金融、技术溢出与商业银行全要素生产率》,《金融研究》第3期,第160~175页。
[8] 汪莉和陈诗一,2018,《利率政策、影子银行与我国商业银行风险研究》,《经济学(季刊)》第10期,第1~22页。
[9] 王聪聪、党超、徐峰、钟立和新杜炜,2018,《互联网金融背景下的金融创新和财富管理研究》,《管理世界》第12期,第168~170页。
[10] 王国刚和张扬,2015,《互联网金融之辨析》,《财贸经济》第1期,第5~16页。
[11] 王晋斌和李博,2017,《中国货币政策对商业银行风险承担行为的影响研究》,《世界经济》第1期,第25~43页。
[12] 王静,2015,《基于金融功能视角的互联网金融形态及对商业银行的冲击》,《财经科学》第3期,第56~65页。
[13] 谢平和邹传伟,2012,《互联网金融模式研究》,《金融研究》第12期,第11~22页。
[14] 战明华、张成瑞和沈娟,2018,《互联网金融发展与货币政策的银行信贷渠道传导》,《经济研究》第4期,第63~76页。
[15] 郑联盛,2014,《中国互联网金融:模式、影响、本质与风险》,《国际经济评论》第5期,第103~118+106页。
[16] Adrian,T. and HS. Shin, 2010, “Liquidity and Leverage”, Journal of Financial Intermediation, 19(3), pp.418~437.
[17] Allen,F., J. McAndrews and P. Strahan, 2002, “E-finance: An Introduction”, Journal of Financial Services Research, 22(1), pp.5~27.
[18] Allen,F., P. Fulghieri and H. Mehran, 2011, “The Value of Bank Capital and the Structure of the Banking Industry”, The Review of Financial Studies, 24(4), pp.971~982.
[19] Berger,S. and F. Gleisner, 2009, “Emergence of Financial Intermediaries in Electronic Markets: The Case of Online P2P Lending”, Business Research, 2(1), pp.39~65.
[20] Cornett,M. M., J. McNutt, P. E. Strahan and H. Tehranian, 2011, “Liquidity Risk Management and Credit Supply in the Financial Crisis”, Journal of Financial Economics, 101(2), pp.297~312.
[21] Dell'Ariccia,G., L. Laeven and G. A. Suarez, 2017, “Bank Leverage and Monetary Policy's Risk-taking Channel: Evidence from the United States”, Journal of Finance, 72(2), pp.613~654.
[22] Entrop,O., C. Memmel, B. Ruprecht and M. Wilkens, 2015, “Determinants of Bank Interest Margins: Impact of Maturity Transformation”, Journal of Banking & Finance, 54(1), pp.1~19.
[23] Fiordelisi,F. and D. S. Mare, 2014, “Competition and Financial Stability in European Cooperative Banks”, Journal of International Money and Finance, 45(2), pp.1~16.
[24] Hou,X., Z. Gao and Q. Wang, 2016, “Internet Finance Development and Banking Market Discipline: Evidence from China”, Journal of Financial Stability, 22(2), pp.88~100.
[25] Lepetit,L. and F. Strobel, 2015, “Bank Insolvency Risk and Z-Score Measures: A Refinement”, Finance Research Letters, 13(5), pp.214~224.
[26] Pathan,S., 2009, “Strong Boards, CEO Power and Bank Risk-taking”, Journal of Banking & Finance, 33(7), pp.1340~1350.
[27] Preacher,K. and A. Hayes, 2008, “Asymptotic and Resampling Strategies for Assessing and Comparing Indirect Effects in Multiple Mediator Models”, Behavioral Research Methods, 40(3), pp.879~891.
[28] Qiao,H., ML. Chen and Y. Xia, 2018, “The Effects of the Sharing Economy: How Does Internet Finance Influence Commercial Bank Risk Preferences?”, Emerging Markets Finance and Trade, 54(13), pp.3013~3028.
[29] Salop,S. C., 1979, “Monopolistic Competition with Outside Goods”, The Bell Journal of Economics, 26(4), pp.141~156.
[30] Shin,H. S., 2009, “Reflections on Northern Rock: The Bank Run that Heralded the Global Financial Crisis”, Journal of Economic Perspectives, 23(1), pp.101~120.
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