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Does the digital economy generate a gender dividend for female employment? Evidence from China

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  • Lu, Jing
  • Xiao, Qinglan
  • Wang, Taoxuan

Abstract

Using data from the China General Social Survey, the China Family Panel Studies, and a unique dataset of enterprises' online recruitment, this research examines the effect of the digital economy on female employment. The empirical results suggest that the digital economy significantly promotes female employment. Consistent with our theoretical analysis, the estimates indicate that this relationship holds because the digital economy promotes the formation of egalitarian gender perspectives, promotes the use of digital technology, and increases labor demand emphasizing the necessity for female-preference occupations. The dividend of the digital economy is tilted toward vulnerable groups in the labor market, including the low-skilled, older, and rural workforce, and only exerts an employment promotion effect on women without parenting burden. Further examination reveals evidence that digitalization has not led to a holistic improvement in the quality of female employment. Digitalization lengthens the working hours of severely underemployed female workers, and improves women's occupational status and job satisfaction; however, it has a minimal impact on protecting employees' rights and interests or reducing overtime workers' work intensity. Nonself-employed, full-time, and part-time workers all benefit from the development of the digital economy, while self-employed workers do not. In addition, a weakening effect of digitalization on the gender employment gap is not evident, which relates to the digital economy generating a female dividend in terms of promoting gender equality and increasing labor demand but resulting in a digital gender divide in the use of digital technology.

Suggested Citation

  • Lu, Jing & Xiao, Qinglan & Wang, Taoxuan, 2023. "Does the digital economy generate a gender dividend for female employment? Evidence from China," Telecommunications Policy, Elsevier, vol. 47(6).
  • Handle: RePEc:eee:telpol:v:47:y:2023:i:6:s0308596123000563
    DOI: 10.1016/j.telpol.2023.102545
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    as
    1. Nathan Nunn & Nancy Qian, 2014. "US Food Aid and Civil Conflict," American Economic Review, American Economic Association, vol. 104(6), pages 1630-1666, June.
    2. Nkoumou Ngoa, Gaston Brice & Song, Jacques Simon, 2021. "Female participation in African labor markets: The role of information and communication technologies," Telecommunications Policy, Elsevier, vol. 45(9).
    3. Nicholas Bloom & James Liang & John Roberts & Zhichun Jenny Ying, 2015. "Does Working from Home Work? Evidence from a Chinese Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(1), pages 165-218.
    4. Lalive, Rafael & Card, David & Colella, Fabrizio, 2021. "Gender Preferences in Job Vacancies and Workplace Gender Diversity," CEPR Discussion Papers 16619, C.E.P.R. Discussion Papers.
    5. Forsythe, Nancy & Korzeniewicz, Roberto Patricio & Durrant, Valerie, 2000. "Gender Inequalities and Economic Growth: A Longitudinal Evaluation," Economic Development and Cultural Change, University of Chicago Press, vol. 48(3), pages 573-617, April.
    6. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    7. 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.
    8. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation, and Work," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 197-236, National Bureau of Economic Research, Inc.
    9. Emmanuel Vazquez & Hernan Winkler, 2017. "How Is the Internet Changing Labor Market Arrangements? Evidence from Telecommunications Reforms in Europe," CEDLAS, Working Papers 0210, CEDLAS, Universidad Nacional de La Plata.
    10. Catherine J. Weinberger, 2014. "The Increasing Complementarity between Cognitive and Social Skills," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 849-861, December.
    11. Ganzeboom, H.B.G. & de Graaf, P.M. & Treiman, D.J. & de Leeuw, J., 1992. "A standard international socio-economic index of occupational status," WORC Paper 92.01.001/1, Tilburg University, Work and Organization Research Centre.
    12. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    13. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    14. Peter Kuhn & Hani Mansour, 2014. "Is Internet Job Search Still Ineffective?," Economic Journal, Royal Economic Society, vol. 124(581), pages 1213-1233, December.
    15. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - Working Papers Series dp-298, Boston University - Department of Economics.
    16. Daron Acemoglu, 2015. "Localised and Biased Technologies: Atkinson and Stiglitz's New View, Induced Innovations, and Directed Technological Change," Economic Journal, Royal Economic Society, vol. 0(583), pages 443-463, March.
    17. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
    18. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    19. Wang, Ruiyu & Shi, Jinchuan & Ye, Bing, 2022. "Can robots reshape gender role attitudes?," China Economic Review, Elsevier, vol. 75(C).
    20. Aksoy, Cevat Giray & Özcan, Berkay & Philipp, Julia, 2021. "Robots and the gender pay gap in Europe," European Economic Review, Elsevier, vol. 134(C).
    21. Fossen, Frank M. & Sorgner, Alina, 2022. "New digital technologies and heterogeneous wage and employment dynamics in the United States: Evidence from individual-level data," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    22. Phelps, Edmund S, 1972. "The Statistical Theory of Racism and Sexism," American Economic Review, American Economic Association, vol. 62(4), pages 659-661, September.
    23. Paola Giuliano & Antonio Spilimbergo, 2014. "Growing up in a Recession," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(2), pages 787-817.
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    4. Menggen Chen & Songyangyang Zhao & Jiawen Wang, 2023. "The Impact of the Digital Economy on Regional Carbon Emissions: Evidence from China," Sustainability, MDPI, vol. 15(20), pages 1-34, October.

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    More about this item

    Keywords

    Digital economy; Female employment; Gender equality perspectives; Use of digital technology; Labor demand;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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