IDEAS home Printed from https://ideas.repec.org/a/bla/chinae/v29y2021i4p142-166.html
   My bibliography  Save this article

Does Fintech Narrow the Gender Wage Gap? Evidence from China

Author

Listed:
  • Qing Guo
  • Siyu Chen
  • Xiangquan Zeng

Abstract

Information and communication technology promotes the rapid development of fintech, which has a far‐reaching impact on wage distribution in China. Using data from the Chinese General Social Survey and the Index of Digital Financial Inclusion, this study examines the impact of fintech on the gender wage gap. We find that fintech (i) narrows the gender wage gap; (ii) reduces capital constraints and operating costs, thereby promoting female entrepreneurship, driving more women into employment, and enabling women to increase their wages and bargaining power within the household; and (iii) positively impacts the wages of women (and men) who have lower family economic status, and helps women (but not men) counter the risk of decline in wages caused by childbearing and caring under the two‐child policy. These findings have important policy implications and provide evidence of women's improving economic conditions leading to a reduced gender wage gap.

Suggested Citation

  • Qing Guo & Siyu Chen & Xiangquan Zeng, 2021. "Does Fintech Narrow the Gender Wage Gap? Evidence from China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 29(4), pages 142-166, July.
  • Handle: RePEc:bla:chinae:v:29:y:2021:i:4:p:142-166
    DOI: 10.1111/cwe.12382
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/cwe.12382
    Download Restriction: no

    File URL: https://libkey.io/10.1111/cwe.12382?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Alan B. Krueger, 1993. "How Computers Have Changed the Wage Structure: Evidence from Microdata, 1984–1989," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(1), pages 33-60.
    2. Evans, David S & Jovanovic, Boyan, 1989. "An Estimated Model of Entrepreneurial Choice under Liquidity Constraints," Journal of Political Economy, University of Chicago Press, vol. 97(4), pages 808-827, August.
    3. Gary S. Becker, 1964. "Human Capital: A Theoretical and Empirical Analysis with Special Reference to Education, First Edition," NBER Books, National Bureau of Economic Research, Inc, number beck-5, March.
    4. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    5. Garry Bruton & Susanna Khavul & Donald Siegel & Mike Wright, 2015. "New Financial Alternatives in Seeding Entrepreneurship: Microfinance, Crowdfunding, and Peer–to–Peer Innovations," Entrepreneurship Theory and Practice, , vol. 39(1), pages 9-26, January.
    6. Xun Zhang & Ying Tan & Zonghui Hu & Chen Wang & Guanghua Wan, 2020. "The Trickle‐down Effect of Fintech Development: From the Perspective of Urbanization," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 28(1), pages 23-40, January.
    7. Cantarella, Michele & Strozzi, Chiara, 2019. "Workers in the Crowd: The Labour Market Impact of the Online Platform Economy," IZA Discussion Papers 12327, Institute of Labor Economics (IZA).
    8. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    9. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, March.
    10. Jane Golley & Yixiao Zhou & Meiyan Wang, 2019. "Inequality of Opportunity in China's Labor Earnings: The Gender Dimension," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 27(1), pages 28-50, January.
    11. Björn Gustafsson & Shi Li, 2000. "Economic transformation and the gender earnings gap in urban China," Journal of Population Economics, Springer;European Society for Population Economics, vol. 13(2), pages 305-329.
    12. Balsmeier, Benjamin & Woerter, Martin, 2019. "Is this time different? How digitalization influences job creation and destruction," Research Policy, Elsevier, vol. 48(8), pages 1-1.
    13. Barbara R. Bergmann, 1974. "Occupational Segregation, Wages and Profits When Employers Discriminate by Race or Sex," Eastern Economic Journal, Eastern Economic Association, vol. 1(2), pages 103-110, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lucas A. Mariani & Jose Renato Haas Ornelas & Bernardo Ricca, 2023. "Banks’ Physical Footprint and Financial Technology Adoption," Working Papers Series 576, Central Bank of Brazil, Research Department.
    2. Yanna He & Muzaffarjon Ahunov, 2022. "Financial Literacy: The Case of China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 30(5), pages 75-101, September.
    3. Tobias Berg & Andreas Fuster & Manju Puri, 2022. "FinTech Lending," Annual Review of Financial Economics, Annual Reviews, vol. 14(1), pages 187-207, November.
    4. Orkun Saka & Barry Eichengreen & Cevat Giray Aksoy, 2022. "Epidemic Exposure, Financial Technology, and the Digital Divide," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(7), pages 1913-1940, October.
    5. Auer, Raphael & Tercero-Lucas, David, 2022. "Distrust or speculation? The socioeconomic drivers of U.S. cryptocurrency investments," Journal of Financial Stability, Elsevier, vol. 62(C).
    6. Johannes Treu, 2023. "The Chance of FinTech to be a New General-Purpose Technology," International Business Research, Canadian Center of Science and Education, vol. 16(11), pages 1-22, November.
    7. Treu, Johannes, 2023. "Finanzielle Allgemeinbildung, Finanzielle Inklusion, FinTech und SDG: Ein holistischer Rahmen," IU Discussion Papers - Business & Management 2 (April 2023), IU International University of Applied Sciences.
    8. Treu, Johannes, 2022. "FinTech, General Purpose Technology und Wohlfahrt," IU Discussion Papers - Business & Management 5 (Juni 2022), IU International University of Applied Sciences.
    9. Orkun Saka & Barry Eichengreen & Cevat Giray Aksoy, 2022. "Epidemic Exposure, Financial Technology, and the Digital Divide," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(7), pages 1913-1940, October.
    10. Peisen LIU & Shiqi Chen & Yufeng XIA, 2023. "The Effect of Bank Competition and Rural Banks on Wages: Evidence from Agricultural Firms," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 5-24, December.
    11. repec:zbw:bofitp:2021_013 is not listed on IDEAS
    12. Dyah Titis Kusuma Wardani & Navi'ah Khusniati & Susilo Nur Aji Cokro Darsono, 2023. "Sociodemographic Effects on Financial Inclusion: Implications from Online Transaction in Developing-8 Countriesfrom Online Transaction in Developing-8 Countries Abstract: The world has reached the ind," Economics and Finance in Indonesia, Faculty of Economics and Business, University of Indonesia, vol. 69, pages 67-86, Juni.
    13. Mariani, Lucas A. & Haas Ornelas, José Renato & Ricca, Bernardo, 2023. "Banks’ Physical Footprint and Financial Technology Adoption," IDB Publications (Working Papers) 12812, Inter-American Development Bank.
    14. MA, Xinxin & CHENG, Jie, 2023. "The Impact of Trade Unions on the Gender Wage Gap : Evidence from China," Discussion Paper Series 752, Institute of Economic Research, Hitotsubashi University.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xinxin Ma, 2022. "Internet use and gender wage gap: evidence from China," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 56(1), pages 1-17, December.
    2. Appleton, Simon & Song, Lina & Xia, Qingjie, 2005. "Has China crossed the river? The evolution of wage structure in urban China during reform and retrenchment," Journal of Comparative Economics, Elsevier, vol. 33(4), pages 644-663, December.
    3. Francisco Queiró, 2022. "Entrepreneurial Human Capital and Firm Dynamics [How Large Are Human-Capital Externalities? Evidence from Compulsory Schooling Laws]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(4), pages 2061-2100.
    4. Joaquin Turmo-Garuz & M.-Teresa Bartual-Figueras & Francisco-Javier Sierra-Martinez, 2019. "Factors Associated with Overeducation Among Recent Graduates During Labour Market Integration: The Case of Catalonia (Spain)," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(3), pages 1273-1301, August.
    5. Parro Francisco, 2012. "A Supply-Demand Framework for Understanding the U.S. Gender Gap in Education," The B.E. Journal of Macroeconomics, De Gruyter, vol. 12(1), pages 1-24, June.
    6. Daniele Checchi, 2001. "Education, Inequality and Income Inequality," STICERD - Distributional Analysis Research Programme Papers 52, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    7. Schultz, T. Paul, 2003. "Human Resources in China: The Birth Quota, Returns to Schooling, and Migration," Center Discussion Papers 28437, Yale University, Economic Growth Center.
    8. Hans‐Peter Y. Qvist & Anders Holm & Martin D. Munk, 2021. "Demand and Supply Effects and Returns to College Education: Evidence from a Natural Experiment with Engineers in Denmark," Scandinavian Journal of Economics, Wiley Blackwell, vol. 123(2), pages 676-704, April.
    9. Christiansen, Charlotte & Joensen, Juanna Schroter & Nielsen, Helena Skyt, 2007. "The risk-return trade-off in human capital investment," Labour Economics, Elsevier, vol. 14(6), pages 971-986, December.
    10. Zagler, Martin & Amighini, Alessia & Fang, Weidi, 2023. "On the evolution of the wage premium for party membership in China," Department of Economics Working Paper Series 351, WU Vienna University of Economics and Business.
    11. Axel Franzen, 2001. "Wages and the Use of New Technologies: An Empirical Analysis of the Swiss Labor Market," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 137(IV), pages 505-523, December.
    12. Solomon W. Polachek & Jun Xiang, 2009. "The Gender Pay Gap across Countries: A Human Capital Approach," SOEPpapers on Multidisciplinary Panel Data Research 227, DIW Berlin, The German Socio-Economic Panel (SOEP).
    13. Angel de la Fuente & Antonio Ciccone, 2003. "Human capital in a global and knowledge-based economy," UFAE and IAE Working Papers 562.03, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    14. Hans Heijke & Christoph Meng & Ger Ramaekers, 2003. "An investigation into the role of human capital competences and their pay‐off," International Journal of Manpower, Emerald Group Publishing Limited, vol. 24(7), pages 750-773, November.
    15. Yubilianto, 2020. "Return to education and financial value of investment in higher education in Indonesia," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 9(1), pages 1-28, December.
    16. Janzen, Katrin & Panitz, Robert & Glückler, Johannes, 2022. "Education premium and the compound impact of universities on their regional economy," Research Policy, Elsevier, vol. 51(1).
    17. Adriaan Kalwij, 2000. "Estimating the economic return to schooling on the basis of panel data," Applied Economics, Taylor & Francis Journals, vol. 32(1), pages 61-71.
    18. Jimeno, Juan F. & Lamo, Ana & Christopoulou, Rebekka, 2010. "Changes in the wage structure in EU countries," Working Paper Series 1199, European Central Bank.
    19. CHEN, Guifu & HAMORI, Shigeyuki, 2009. "Economic returns to schooling in urban China: OLS and the instrumental variables approach," China Economic Review, Elsevier, vol. 20(2), pages 143-152, June.
    20. Iwasaki, Ichiro & Ma, Xinxin, 2020. "Gender wage gap in China: a large meta-analysis," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 54, pages 1-17.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:chinae:v:29:y:2021:i:4:p:142-166. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/iwepacn.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.