IDEAS home Printed from https://ideas.repec.org/a/eee/chieco/v93y2025ics1043951x25001592.html

Artificial intelligence and intra-firm pay dispersion: Evidence from China

Author

Listed:
  • Liu, Tingyu
  • Huang, Peng
  • Wang, Qiaoru

Abstract

This paper examines the impact of AI on intra-firm pay dispersion using a patent database and a micro-database of Chinese A-share listed companies from 2003 to 2021. The results indicate AI adoption reduce intra-firm pay dispersion, primarily through its suppression effect on executive compensation. This effect is particularly pronounced in firms characterized by capital-intensive operations, non-state ownership, and coastal locations. While organizational scale expansion partially offsets‌ AI's role in narrowing pay dispersion, ‌task-based decomposition reveals‌ AI exacerbates wage polarization‌ by ‌disproportionately reduces wage of labors specializing in routine tasks. Additionally, industry-level analysis confirms‌ that AI amplifies wage inequality both within and across sectors.

Suggested Citation

  • Liu, Tingyu & Huang, Peng & Wang, Qiaoru, 2025. "Artificial intelligence and intra-firm pay dispersion: Evidence from China," China Economic Review, Elsevier, vol. 93(C).
    • Handle: RePEc:eee:chieco:v:93:y:2025:i:c:s1043951x25001592
    DOI: 10.1016/j.chieco.2025.102501
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1043951X25001592
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.chieco.2025.102501?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Arthur Lewbel, 2012. "Using Heteroscedasticity to Identify and Estimate Mismeasured and Endogenous Regressor Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(1), pages 67-80.
    2. Anders Akerman & Ingvil Gaarder & Magne Mogstad, 2015. "The Skill Complementarity of Broadband Internet," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(4), pages 1781-1824.
    3. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    4. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The Skill Content of Recent Technological Change: An Empirical Exploration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1279-1333.
    5. Zhai, Shaoxuan & Liu, Zhenpeng, 2023. "Artificial intelligence technology innovation and firm productivity: Evidence from China," Finance Research Letters, Elsevier, vol. 58(PB).
    6. Katja Mann & Lukas Püttmann, 2023. "Benign Effects of Automation: New Evidence from Patent Texts," The Review of Economics and Statistics, MIT Press, vol. 105(3), pages 562-579, May.
    7. Josef Zweimuller & Rudolf Winter-Ebmer, 1999. "Firm-Size Wage Differentials in Switzerland: Evidence from Job-Changers," American Economic Review, American Economic Association, vol. 89(2), pages 89-93, May.
    8. Maarten Goos & Alan Manning & Anna Salomons, 2014. "Explaining Job Polarization: Routine-Biased Technological Change and Offshoring," American Economic Review, American Economic Association, vol. 104(8), pages 2509-2526, August.
    9. Daron Acemoglu & Philippe Aghion & Claire Lelarge & John Van Reenen & Fabrizio Zilibotti, 2007. "Technology, Information, and the Decentralization of the Firm," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(4), pages 1759-1799.
    10. 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.
    11. 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.
    12. Nathalie Chusseau & Michel Dumont & Joël Hellier, 2008. "Explaining Rising Inequality: Skill‐Biased Technical Change And North–South Trade," Journal of Economic Surveys, Wiley Blackwell, vol. 22(3), pages 409-457, July.
    13. Barth, Erling & Roed, Marianne & Schone, Pal & Umblijs, Janis, 2020. "How Robots Change Within-Firm Wage Inequality," IZA Discussion Papers 13605, Institute of Labor Economics (IZA).
    14. Berthold Herrendorf & Richard Rogerson & ?kos Valentinyi, 2013. "Two Perspectives on Preferences and Structural Transformation," American Economic Review, American Economic Association, vol. 103(7), pages 2752-2789, December.
    15. Daron Acemoglu, 2002. "Directed Technical Change," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(4), pages 781-809.
    16. Holz, Carsten A., 2002. "The impact of the liability-asset ratio on profitability in China's industrial state-owned enterprises," China Economic Review, Elsevier, vol. 13(1), pages 1-26.
    17. Jae Song & David J Price & Fatih Guvenen & Nicholas Bloom & Till von Wachter, 2019. "Firming Up Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(1), pages 1-50.
    18. Giacomo Damioli & Vincent Van Roy & Daniel Vertesy, 2021. "The impact of artificial intelligence on labor productivity," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 11(1), pages 1-25, March.
    19. Claudine Gartenberg & Julie Wulf, 2020. "Competition and Pay Inequality Within and Between Firms," Management Science, INFORMS, vol. 66(12), pages 5925-5943, December.
    20. Joel Mokyr & Chris Vickers & Nicolas L. Ziebarth, 2015. "The History of Technological Anxiety and the Future of Economic Growth: Is This Time Different?," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 31-50, Summer.
    21. 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.
    22. Domini, Giacomo & Grazzi, Marco & Moschella, Daniele & Treibich, Tania, 2022. "For whom the bell tolls: The firm-level effects of automation on wage and gender inequality," Research Policy, Elsevier, vol. 51(7).
    23. John, Kose & Senbet, Lemma W., 1998. "Corporate governance and board effectiveness1," Journal of Banking & Finance, Elsevier, vol. 22(4), pages 371-403, May.
    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. Deng, Yue & Feng, Aiya & Hu, Dezhuang, 2025. "Gender earnings gap in Chinese firms: Can it be narrowed by industrial robots?," China Economic Review, Elsevier, vol. 89(C).
    2. Anderton, Robert & Jarvis, Valerie & Labhard, Vincent & Morgan, Julian & Petroulakis, Filippos & Vivian, Lara, 2020. "Virtually everywhere? Digitalisation and the euro area and EU economies," Occasional Paper Series 244, European Central Bank.
    3. Caselli, Mauro & Fracasso, Andrea & Scicchitano, Sergio & Traverso, Silvio & Tundis, Enrico, 2025. "What workers and robots do: An activity-based analysis of the impact of robotization on changes in local employment," Research Policy, Elsevier, vol. 54(1).
    4. M. Battisti & M. Del Gatto & A. F. Gravina & C. F. Parmeter, 2021. "Robots versus labor skills: a complementarity/substitutability analysis," Working Paper CRENoS 202104, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    5. David J. Deming & Mikko I. Silliman, 2024. "Skills and Human Capital in the Labor Market," NBER Working Papers 32908, National Bureau of Economic Research, Inc.
    6. 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.
    7. repec:ces:ceswps:_10955 is not listed on IDEAS
    8. Fierro, Luca Eduardo & Caiani, Alessandro & Russo, Alberto, 2022. "Automation, Job Polarisation, and Structural Change," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 499-535.
    9. Maarten Goos & Melanie Arntz & Ulrich Zierahn & Terry Gregory & Stephanie Carretero Gomez & Ignacio Gonzalez Vazquez & Koen Jonkers, 2019. "The Impact of Technological Innovation on the Future of Work," JRC Working Papers on Labour, Education and Technology 2019-03, Joint Research Centre.
    10. Genz, Sabrina & Schnabel, Claus, 2021. "Digging into the digital divide: Workers' exposure to digitalization and its consequences for individual employment," Discussion Papers 118, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    11. Ekaterina Prytkova & Fabien Petit & Deyu Li & Sugat Chaturvedi & Tommaso Ciarli, 2024. "The Employment Impact of Emerging Digital Technologies," CEPEO Working Paper Series 24-01, UCL Centre for Education Policy and Equalising Opportunities, revised Feb 2024.
    12. Falck, Oliver & Heimisch-Roecker, Alexandra & Wiederhold, Simon, 2021. "Returns to ICT skills," Research Policy, Elsevier, vol. 50(7).
    13. Cirillo, Valeria & Evangelista, Rinaldo & Guarascio, Dario & Sostero, Matteo, 2021. "Digitalization, routineness and employment: An exploration on Italian task-based data," Research Policy, Elsevier, vol. 50(7).
    14. Xin, Baogui & Ye, Xiaopu, 2024. "Robotics applications, inclusive employment and income disparity," Technology in Society, Elsevier, vol. 78(C).
    15. Fabien Petit & Florencia Jaccoud & Tommaso Ciarli, 2023. "Heterogeneous Adjustments of Labor Markets to Automation Technologies," CESifo Working Paper Series 10237, CESifo.
    16. Daniele Angelini, 2023. "Aging Population and Technology Adoption," Working Paper Series of the Department of Economics, University of Konstanz 2023-01, Department of Economics, University of Konstanz.
    17. Gries, Thomas & Naudé, Wim, 2020. "Artificial Intelligence, Income Distribution and Economic Growth," IZA Discussion Papers 13606, Institute of Labor Economics (IZA).
    18. Goos, Maarten & Rademakers, Emilie & Röttger, Ronja, 2021. "Routine-Biased technical change: Individual-Level evidence from a plant closure," Research Policy, Elsevier, vol. 50(7).
    19. Włoch, Renata & Śledziewska, Katarzyna & Rożynek, Satia, 2025. "Who's afraid of automation? Examining determinants of fear of automation in six European countries," Technology in Society, Elsevier, vol. 81(C).
    20. Zhou, Yuwen & Shi, Xin, 2025. "How does digital technology adoption affect corporate employment? Evidence from China," Economic Modelling, Elsevier, vol. 147(C).
    21. Youssef Benzarti & Jarkko Harju, 2021. "Using Payroll Tax Variation to Unpack the Black Box of Firm-Level Production," Journal of the European Economic Association, European Economic Association, vol. 19(5), pages 2737-2764.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    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:eee:chieco:v:93:y:2025:i:c:s1043951x25001592. 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/chieco .

    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.