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Does digital finance reduce the employment in the finance industry? Evidence from China

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  • Deng, Jiapin
  • Liu, Yanchu

Abstract

Finance has long been a popular major in college education, but the development of digital finance raises the concern about job losses in the finance industry. Using novel panel datasets from China, we document robust city-level evidence that digital finance significantly reduces the employment in the finance industry. Moreover, we find that the labor efficiency in the finance industry increases with the intensity of digital finance, which supports the argument of technological unemployment. Our analysis suggests that more attention should be paid to the potential unbalance between the labor demand and supply in the finance industry.

Suggested Citation

  • Deng, Jiapin & Liu, Yanchu, 2022. "Does digital finance reduce the employment in the finance industry? Evidence from China," Finance Research Letters, Elsevier, vol. 48(C).
    • Handle: RePEc:eee:finlet:v:48:y:2022:i:c:s1544612322002409
    DOI: 10.1016/j.frl.2022.102994
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    1. Scott, Susan V. & Van Reenen, John & Zachariadis, Markos, 2017. "The long-term effect of digital innovation on bank performance: An empirical study of SWIFT adoption in financial services," Research Policy, Elsevier, vol. 46(5), pages 984-1004.
    2. Ferreira, Miguel A. & Eça, Afonso & Prado, Melissa Porras & Rizzo, A. Emanuele, 2022. "The real effects of FinTech lending on SMEs: evidence from loan applications," Working Paper Series 2639, European Central Bank.
    3. Thakor, Anjan V., 2020. "Fintech and banking: What do we know?," Journal of Financial Intermediation, Elsevier, vol. 41(C).
    4. Guy Michaels & Ashwini Natraj & John Van Reenen, 2010. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over 25 Years," CEP Discussion Papers dp0987, Centre for Economic Performance, LSE.
    5. Marco Di Maggio & Vincent Yao, 2021. "Fintech Borrowers: Lax Screening or Cream-Skimming?," The Review of Financial Studies, Society for Financial Studies, vol. 34(10), pages 4565-4618.
    6. Peterson K. Ozili, 2018. "Impact of digital finance on financial inclusion and stability," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 18(4), pages 329-340, December.
    7. Thakor, Anjan, 2020. "Corrigendum to: Fintech and Banking: What Do We Know?," Journal of Financial Intermediation, Elsevier, vol. 43(C).
    8. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    9. Ozili, Peterson Kitakogelu, 2018. "Impact of Digital Finance on Financial Inclusion and Stability," MPRA Paper 84771, University Library of Munich, Germany.
    10. Maarten Goos & Alan Manning, 2007. "Lousy and Lovely Jobs: The Rising Polarization of Work in Britain," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 118-133, February.
    11. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    12. Li, Jie & Wu, Yu & Xiao, Jing Jian, 2020. "The impact of digital finance on household consumption: Evidence from China," Economic Modelling, Elsevier, vol. 86(C), pages 317-326.
    13. Greg Buchak & Jiayin Hu & Shang-Jin Wei, 2021. "FinTech as a Financial Liberator," NBER Working Papers 29448, National Bureau of Economic Research, Inc.
    14. Morse, Adair, 2011. "Payday lenders: Heroes or villains?," Journal of Financial Economics, Elsevier, vol. 102(1), pages 28-44, October.
    15. Peter Phillips & Hyungsik Moon, 2000. "Nonstationary panel data analysis: an overview of some recent developments," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 263-286.
    16. Berger, Allen N, 2003. "The Economic Effects of Technological Progress: Evidence from the Banking Industry," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(2), pages 141-176, April.
    17. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    18. Guy Michaels & Ashwini Natraj & John Van Reenen, 2014. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over Twenty-Five Years," The Review of Economics and Statistics, MIT Press, vol. 96(1), pages 60-77, March.
    19. Berg, Andrew & Buffie, Edward F. & Zanna, Luis-Felipe, 2018. "Should we fear the robot revolution? (The correct answer is yes)," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 117-148.
    20. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
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    Cited by:

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    4. Geng Tian, 2022. "Influence of Digital Finance on Household Leverage Ratio from the Perspective of Consumption Effect and Income Effect," Sustainability, MDPI, vol. 14(23), pages 1-11, December.
    5. Elshandidy, Tamer & Ahmed, Yousry, 2023. "Stock price informativeness of risk disclosure: Does time orientation matter?," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 149-162.

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    More about this item

    Keywords

    Digital finance; Employment; Technological unemployment; Finance industry;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • G29 - Financial Economics - - Financial Institutions and Services - - - Other
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • A22 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Undergraduate

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