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.
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.