IDEAS home Printed from https://ideas.repec.org/a/eee/asieco/v90y2024ics1049007823000957.html
   My bibliography  Save this article

Artificial intelligence and intergenerational occupational mobility

Author

Listed:
  • Wang, Linhui
  • Zhao, He
  • Cao, Zhanglu
  • Dong, Zhiqing

Abstract

Artificial intelligence (AI) has a huge impact on economic development, while the literature focuses on the effect of AI on employment, and little is known about the impact of AI on intergenerational occupational mobility. Using a large, representative survey of individual-level data from the CGSS database, this paper presents novel evidence on the effect of AI on intergenerational occupational mobility. The results indicate that AI significantly increases intergenerational occupational mobility and induces more upward mobility, which stems from AI-induced demand for more high-skilled labors and changes in occupational task attributes. Furthermore, the effect of AI is heterogeneous for different groups in cognitive ability, family economic conditions, paternal educational attainment, and paternal occupational type.

Suggested Citation

  • Wang, Linhui & Zhao, He & Cao, Zhanglu & Dong, Zhiqing, 2024. "Artificial intelligence and intergenerational occupational mobility," Journal of Asian Economics, Elsevier, vol. 90(C).
  • Handle: RePEc:eee:asieco:v:90:y:2024:i:c:s1049007823000957
    DOI: 10.1016/j.asieco.2023.101675
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1049007823000957
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.asieco.2023.101675?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Daron Acemoglu & Pascual Restrepo, 2020. "The wrong kind of AI? Artificial intelligence and the future of labour demand," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 25-35.
    2. Raj Chetty & Nathaniel Hendren, 2018. "The Impacts of Neighborhoods on Intergenerational Mobility II: County-Level Estimates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(3), pages 1163-1228.
    3. Galor, Oded & Tsiddon, Daniel, 1997. "Technological Progress, Mobility, and Economic Growth," American Economic Review, American Economic Association, vol. 87(3), pages 363-382, June.
    4. Raj Chetty & Nathaniel Hendren, 2018. "The Impacts of Neighborhoods on Intergenerational Mobility I: Childhood Exposure Effects," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(3), pages 1107-1162.
    5. Philippe Aghion & Ufuk Akcigit & Antonin Bergeaud & Richard Blundell & David Hemous, 2019. "Innovation and Top Income Inequality," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(1), pages 1-45.
    6. Ajay Agrawal & Joshua S. Gans & Avi Goldfarb, 2019. "Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 31-50, Spring.
    7. Eric A. Hanushek & Charles Ka Yui Leung & Kuzey Yilmaz, 2014. "Borrowing Constraints, College Aid, and Intergenerational Mobility," Journal of Human Capital, University of Chicago Press, vol. 8(1), pages 1-41.
    8. 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.
    9. Carlino, Gerald A. & Chatterjee, Satyajit & Hunt, Robert M., 2007. "Urban density and the rate of invention," Journal of Urban Economics, Elsevier, vol. 61(3), pages 389-419, May.
    10. Benjamin David, 2017. "Computer technology and probable job destructions in Japan: An evaluation," Post-Print hal-01549790, HAL.
    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. Ahsan, Reshad N. & Chatterjee, Arpita, 2017. "Trade liberalization and intergenerational occupational mobility in urban India," Journal of International Economics, Elsevier, vol. 109(C), pages 138-152.
    13. Jeffrey D. Sachs & Laurence J. Kotlikoff, 2012. "Smart Machines and Long-Term Misery," NBER Working Papers 18629, National Bureau of Economic Research, Inc.
    14. Trajtenberg, Manuel, 2018. "AI as the next GPT: a Political-Economy Perspective," CEPR Discussion Papers 12721, C.E.P.R. Discussion Papers.
    15. Jose V. Rodriguez Mora & John Hassler, 2000. "Intelligence, Social Mobility, and Growth," American Economic Review, American Economic Association, vol. 90(4), pages 888-908, September.
    16. James Bessen, 2019. "Automation and jobs: when technology boosts employment," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 34(100), pages 589-626.
    17. Reddy, A. Bheemeshwar, 2015. "Changes in Intergenerational Occupational Mobility in India: Evidence from National Sample Surveys, 1983–2012," World Development, Elsevier, vol. 76(C), pages 329-343.
    18. David, Benjamin, 2017. "Computer technology and probable job destructions in Japan: An evaluation," Journal of the Japanese and International Economies, Elsevier, vol. 43(C), pages 77-87.
    Full references (including those not matched with items on IDEAS)

    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. Zhou, Zhongsheng & Li, Zhuo & Du, Shanzhong & Cao, June, 2024. "Robot adoption and enterprise R&D manipulation: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    2. Heyman, Fredrik & Olsson, Martin, 2022. "Long-Run Effects of Technological Change: The Impact of Automation and Robots on Intergenerational Mobility," Working Paper Series 1451, Research Institute of Industrial Economics, revised 29 Jun 2023.
    3. Chenhui Ding & Xiaoming Song & Yingchun Xing & Yuxuan Wang, 2023. "Bilateral Effects of the Digital Economy on Manufacturing Employment: Substitution Effect or Creation Effect?," Sustainability, MDPI, vol. 15(19), pages 1-22, October.
    4. Jasmine Mondolo, 2022. "The composite link between technological change and employment: A survey of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1027-1068, September.
    5. Michael Coelli & Jeff Borland, 2019. "Behind the headline number: Why not to rely on Frey and Osborne’s predictions of potential job loss from automation," Melbourne Institute Working Paper Series wp2019n10, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    6. Neidhöfer, Guido & Ciaschi, Matías & Gasparini, Leonardo & Serrano, Joaquín, 2021. "Social mobility and economic development," ZEW Discussion Papers 21-087, ZEW - Leibniz Centre for European Economic Research.
    7. Wang, Lei & Zhou, Yahong & Chiao, Benjamin, 2023. "Robots and firm innovation: Evidence from Chinese manufacturing," Journal of Business Research, Elsevier, vol. 162(C).
    8. Qianqian Guo & Zhifang Su, 2023. "The Application of Industrial Robot and the High-Quality Development of Manufacturing Industry: From a Sustainability Perspective," Sustainability, MDPI, vol. 15(16), pages 1-26, August.
    9. Yang, Chih-Hai, 2022. "How Artificial Intelligence Technology Affects Productivity and Employment: Firm-level Evidence from Taiwan," Research Policy, Elsevier, vol. 51(6).
    10. Cao, Yuqiang & Hu, Yong & Liu, Qian & Lu, Meiting & Shan, Yaowen, 2023. "Job creation or disruption? Unraveling the effects of smart city construction on corporate employment in China," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    11. Caselli, Mauro & Fracasso, Andrea & Scicchitano, Sergio & Traverso, Silvio & Tundis, Enrico, 2021. "Stop worrying and love the robot: An activity-based approach to assess the impact of robotization on employment dynamics," GLO Discussion Paper Series 802, Global Labor Organization (GLO).
    12. Stefan Jestl, 2022. "Industrial Robots, and Information and Communication Technology: The Employment Effects in EU Labour Markets," wiiw Working Papers 215, The Vienna Institute for International Economic Studies, wiiw.
    13. Guido Neidhöfer & Matías Ciaschi & Leonardo Gasparini & Joaquín Serrano, 2024. "Social mobility and economic development," Journal of Economic Growth, Springer, vol. 29(2), pages 327-359, June.
    14. Leibrecht, Markus & Scharler, Johann & Zhoufu, Yan, 2023. "Automation and unemployment: Does collective bargaining moderate their association?," Structural Change and Economic Dynamics, Elsevier, vol. 67(C), pages 264-276.
    15. MORIKAWA Masayuki, 2020. "Heterogeneous Relationships between Automation Technologies and Skilled Labor: Evidence from a Firm Survey," Discussion papers 20004, Research Institute of Economy, Trade and Industry (RIETI).
    16. Zhang, Yun & Qu, Yuxuan, 2024. "Has the digital economy improved the consumption of poor and subsistence households?," China Economic Review, Elsevier, vol. 83(C).
    17. Hennig, Jan-Luca, 2021. "Labor Market Polarization and Intergenerational Mobility: Theory and Evidence," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242353, Verein für Socialpolitik / German Economic Association.
    18. Filippi, Emilia & Bannò, Mariasole & Trento, Sandro, 2023. "Automation technologies and their impact on employment: A review, synthesis and future research agenda," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    19. Camiña, Ester & Díaz-Chao, Ángel & Torrent-Sellens, Joan, 2020. "Automation technologies: Long-term effects for Spanish industrial firms," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    20. Iftekhairul Islam & Fahad Shaon, 2020. "If the Prospect of Some Occupations Are Stagnating With Technological Advancement? A Task Attribute Approach to Detect Employment Vulnerability," Papers 2001.02783, arXiv.org.

    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:eee:asieco:v:90:y:2024:i:c:s1049007823000957. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/asieco .

    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.