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Digitalization and the “Too Big to Fail” dilemma: mechanisms and asymmetric effects of banks’ Fintech innovation on total factor productivity

    Chengming Li Affiliation
    ; Yuan Zhang Affiliation
    ; Hongwei Yu Affiliation

Abstract

Fintech is driving the revolution of finance and profoundly affecting the development of the financial sector. However, few studies examined how commercial banks’ fintech innovation affects total factor productivity (TFP). To build up the fintech index of commercial banks, we use web crawler technology to accumulate news related to the fintech innovation of commercial banks in Baidu news. We use the panel data of 72 banks in China from 2010 to 2020 to explore the impacts and mechanisms of fintech on commercial banks’ TFP. The results show that fintech innovation effectively improves TFP after a series of robustness tests. Further, we find that fintech innovation can improve commercial banks’ TFP by promoting innovations of financial products, increasing risk control capability, reducing cost, and improving profit. Also, the utility of fintech is more significant in banks with more assets, facilities, and human capital, which means that fintech innovation creates a “bigger is better” mindset. Meanwhile, the result of quantile regression shows that the higher the fintech innovation, the more significant the increase in TFP, which further reveals that there is ‘too big to fail’ among commercial banks under digitalization.

Keyword : fintech innovation, total factor productivity, commercial banks, too big to fail, digitalization dilemma, asymmetric effects, quantile regression, web crawler technology

How to Cite
Li, C., Zhang, Y., & Yu, H. (2024). Digitalization and the “Too Big to Fail” dilemma: mechanisms and asymmetric effects of banks’ Fintech innovation on total factor productivity. Technological and Economic Development of Economy, 30(2), 464–488. https://doi.org/10.3846/tede.2024.21299
Published in Issue
May 9, 2024
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This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Adetutu, M. O., Odusanya, K. A., Ebireri, J. E., & Murinde, V. (2020). Oil booms, bank productivity and natural resource curse in finance. Economics Letters, 186, Article 108517. https://doi.org/10.1016/j.econlet.2019.07.002

Allen, F., Qian, J. Q., Shan, S. C., & Zhao, M. (2014). The IPO of Industrial and Commercial Bank of China and the ‘Chinese Model’of privatizing large financial institutions. The European Journal of Finance, 20(7–9), 599–624. https://doi.org/10.1080/1351847X.2012.671780

Ayandibu, A. O., & Houghton, J. (2017). The role of Small and Medium Scale Enterprise in local economic development (LED). Journal of Business and Retail Management Research, 11(2).

Bellstam, G., Bhagat, S., & Cookson, J. A. (2021). A text-based analysis of corporate innovation. Management Science, 67(7), 4004–4031. https://doi.org/10.1287/mnsc.2020.3682

Berger, A. N. (2003). The economic effects of technological progress: Evidence from the banking industry. Journal of Money, Credit and Banking, 35(2), 141–176. https://doi.org/10.1353/mcb.2003.0009

Buchak, G., Matvos, G., Piskorski, T., & Seru, A. (2018). Fintech, regulatory arbitrage, and the rise of shadow banks. Journal of Financial Economics, 130(3), 453–483. https://doi.org/10.1016/j.jfineco.2018.03.011

Chen, M. A., Wu, Q., & Yang, B. (2019). How valuable is FinTech innovation?. The Review of Financial Studies, 32(5), 2062–2106. https://doi.org/10.1093/rfs/hhy130

Cheng, M., & Qu, Y. (2020). Does bank FinTech reduce credit risk? Evidence from China. Pacific-Basin Finance Journal, 63, Article 101398. https://doi.org/10.1016/j.pacfin.2020.101398

Chiu, J., & Koeppl, T. V. (2019). Blockchain-based settlement for asset trading. The Review of Financial Studies, 32(5), 1716–1753. https://doi.org/10.1093/rfs/hhy122

Delis, M. D., & Kouretas, G. P. (2011). Interest rates and bank risk-taking. Journal of Banking & Finance, 35(4), 840–855. https://doi.org/10.1016/j.jbankfin.2010.09.032

Dynan, K. E., Elmendorf, D. W., & Sichel, D. E. (2006). Can financial innovation help to explain the reduced volatility of economic activity?. Journal of Monetary Economics, 53(1), 123–150. https://doi.org/10.1016/j.jmoneco.2005.10.012

Fuster, A., Plosser, M., Schnabl, P., & Vickery, J. (2019). The role of technology in mortgage lending. The Review of Financial Studies, 32(5), 1854–1899. https://doi.org/10.1093/rfs/hhz018

Goldfarb, A., & Trefler, D. (2018). AI and international trade (Working paper No. 24254). National Bureau of Economic Research. https://doi.org/10.3386/w24254

Gu, S., Kelly, B., & Xiu, D. (2020). Empirical asset pricing via machine learning. The Review of Financial Studies, 33(5), 2223–2273. https://doi.org/10.1093/rfs/hhaa009

Feng, G., Jingyi, W., Fang, W., Tao, K., Xun, Z., & Zhiyun, C. (2020). Measuring China’s digital financial inclusion: Index compilation and spatial characteristics. China Economic Quarterly, 19(4), 1401–1418.

Huang, Y., Lin, C., Sheng, Z., & Wei, L. (2018). FinTech credit and service quality (Working paper). Geneva Financial Research Institute, Geneva. http://matteocrosignani.com/site/wp-content/uploads/2018/05/Crosignani_Discussion_Cavalcade18.pdf

Glancy, F. H., & Yadav, S. B. (2011). A computational model for financial reporting fraud detection. Decision support systems, 50(3), 595–601. https://doi.org/10.1016/j.dss.2010.08.010

Kamarudin, F., Hue, C. Z., Sufian, F., & Mohamad Anwar, N. A. (2017). Does productivity of Islamic banks endure progress or regress? Empirical evidence using Data Envelopment Analysis based Malmquist Productivity Index. Humanomics, 33(1), 84–118. https://doi.org/10.1108/H-08-2016-0059

Lee, C. C., Li, X., Yu, C. H., & Zhao, J. (2021). Does fintech innovation improve bank efficiency? Evidence from China’s banking industry. International Review of Economics & Finance, 74, 468–483. https://doi.org/10.1016/j.iref.2021.03.009

Lee, I., & Shin, Y. J. (2018). Fintech: Ecosystem, business models, investment decisions, and challenges. Business Horizons, 61(1), 35–46. https://doi.org/10.1016/j.bushor.2017.09.003

Levinsohn, J., & Petrin, A. (2003). Estimating production functions using inputs to control for unobservables. The Review of Economic Studies, 70(2), 317–341. https://doi.org/10.1111/1467-937X.00246

Li, C., Li, D., He, S., Sun, S., Tian, Y., & Wang, Z. (2022a). The effect of big data-based digital payments on household healthcare expenditure. Frontiers in Public Health, 10, Article 922574. https://doi.org/10.3389/fpubh.2022.922574

Li, C., He, S., Tian, Y., Sun, S., & Ning, L. (2022b). Does the bank’s FinTech innovation reduce its risk-taking? Evidence from China’s banking industry. Journal of Innovation & Knowledge, 7(3), Article 100219. https://doi.org/10.1016/j.jik.2022.100219

Li, C., Huo, P., Wang, Z., Zhang, W., Liang, F., & Mardani, A. (2023a). Digitalization generates equality? Enterprises’ digital transformation, financing constraints, and labor share in China. Journal of Business Research, 163, Article 113924. https://doi.org/10.1016/j.jbusres.2023.113924

Li, C., Huang, Y., Wu, Y., Wang, X., Tian, Y., Wu, R., Qu, F., & Wang, Z. (2023c). Intelligent data sharing strategy supported by artificial intelligence and blockchain technology: Based on medical data. Annals of Operations Research. https://doi.org/10.1007/s10479-023-05423-1

Li, C., Wang, Y., Zhou, Z., Wang, Z., & Mardani, A. (2023b). Digital finance and enterprise financing constraints: Structural characteristics and mechanism identification. Journal of Business Research, 165, Article 114074. https://doi.org/10.1016/j.jbusres.2023.114074

Li, C., Li, D., Liang, Y., & Wang, Z. (2024). Underdog entrepreneurship in the digital era: The effect of digital servitization on household entrepreneurship in China. Heliyon, 10(2), Article e24154. https://doi.org/10.1016/j.heliyon.2024.e24154

Liu, J., Li, X., & Wang, S. (2020). What have we learnt from 10 years of fintech research? a scientometric analysis. Technological Forecasting and Social Change, 155, Article 120022. https://doi.org/10.1016/j.techfore.2020.120022

Luo, S., Sun, Y., Yang, F., & Zhou, G. (2022). Does fintech innovation promote enterprise transformation? Evidence from China. Technology in Society, 68, Article 101821. https://doi.org/10.1016/j.techsoc.2021.101821

Olley, S., & Pakes, A. (1992). The dynamics of productivity in the telecommunications equipment industry (Working paper No. 3977) National Bureau of Economic Research. https://doi.org/10.3386/w3977

Palmié, M., Wincent, J., Parida, V., & Caglar, U. (2020). The evolution of the financial technology ecosystem: An introduction and agenda for future research on disruptive innovations in ecosystems. Technological Forecasting and Social Change, 151, Article 119779. https://doi.org/10.1016/j.techfore.2019.119779

Pan, X., Pan, X., Song, M., Ai, B., & Ming, Y. (2020). Blockchain technology and enterprise operational capabilities: An empirical test. International Journal of Information Management, 52, Article 101946. https://doi.org/10.1016/j.ijinfomgt.2019.05.002

Phan, D. H. B., Narayan, P. K., Rahman, R. E., & Hutabarat, A. R. (2020). Do financial technology firms influence bank performance?. Pacific-Basin Finance Journal, 62, Article 101210. https://doi.org/10.1016/j.pacfin.2019.101210

Philippon, T. (2019). On fintech and financial inclusion (Working paper No. 26330). National Bureau of Economic Research. https://doi.org/10.3386/w26330

Ray, S. C., & Das, A. (2010). Distribution of cost and profit efficiency: Evidence from Indian banking. European Journal of Operational Research, 201(1), 297–307. https://doi.org/10.1016/j.ejor.2009.02.030

Sheng, T. (2021). The effect of fintech on banks’ credit provision to SMEs: Evidence from China. Finance Research Letters, 39, Article 101558. https://doi.org/10.1016/j.frl.2020.101558

Solow, R. M. (1956). A contribution to the theory of economic growth. The Quarterly Journal of Economics, 70(1), 65–94. https://doi.org/10.2307/1884513

Thakor, A. V. (2020). Fintech and banking: What do we know?. Journal of Financial Intermediation, 41, Article 100833. https://doi.org/10.1016/j.jfi.2019.100833

Thota, N., & Subrahmanyam, A. C. V. (2020). Bank total factor productivity convergence: Evidence from India. Finance Research Letters, 37, Article 101357. https://doi.org/10.1016/j.frl.2019.101357

Wang, Y., Xiuping, S., & Zhang, Q. (2021). Can fintech improve the efficiency of commercial banks? – An analysis based on big data. Research in International Business and Finance, 55, Article 101338. https://doi.org/10.1016/j.ribaf.2020.101338

Wang, Z., Lu, J., Li, M., Yang, S., Wang, Y., & Cheng, X. (2022). Edge computing and blockchain in enterprise performance and venture capital management. Computational Intelligence and Neuroscience. https://doi.org/10.1155/2022/2914936

Xu, Y., & Li, C. (2023). Digital transformation, firm boundaries, and market power: Evidence from China’s listed companies. Systems, 11(9), Article 479. https://doi.org/10.3390/systems11090479

Yu, C., Jia, N., Li, W., & Wu, R. (2022). Digital inclusive finance and rural consumption structure –evidence from Peking University digital inclusive financial index and China household finance survey. China Agricultural Economic Review, 14(1), 165–183. https://doi.org/10.1108/CAER-10-2020-0255

Zhai, C., Ding, X., Zhang, X., Jiang, S., Zhang, Y., & Li, C. (2023). Assessing the effects of urban digital infrastructure on corporate Environmental, Social and Governance (ESG) performance: Evidence from the broadband China Policy. Systems, 11(10), Article 515. https://doi.org/10.3390/systems11100515

Zhao, J., Li, X., Yu, C. H., Chen, S., & Lee, C. C. (2022). Riding the FinTech innovation wave: FinTech, patents and bank performance. Journal of International Money and Finance, 122, Article 102552. https://doi.org/10.1016/j.jimonfin.2021.102552