IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v99y2025ics1059056025001868.html
   My bibliography  Save this article

The impact of digital innovation on labor share: Evidence from Chinese firms

Author

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

Abstract

We use data from listed Chinese companies spanning the years 2000–2021 to study the impact of digital innovation on labor share. Our findings reveal a significant role of digital innovation in enhancing firms' labor share, which changes the factor allocation within firms. Mechanistic analysis reveals that digital innovation drives firm growth through innovation spillover effect, productivity enhancing effect, and expansion effect, with internal control costs and outward foreign direct investment acting as moderating factors. Further examination shows that the labor share-enhancing effect of digital innovation is more pronounced in firms with advanced technologies, greater market power, state ownership, and lower financing constraints. Additionally, we find that the relationship between digital innovation and labor share follows a phased pattern, exhibiting an inverted U-shaped trend over time.

Suggested Citation

  • Liu, Tingyu & Huang, Peng & Wang, Qiaoru, 2025. "The impact of digital innovation on labor share: Evidence from Chinese firms," International Review of Economics & Finance, Elsevier, vol. 99(C).
    • Handle: RePEc:eee:reveco:v:99:y:2025:i:c:s1059056025001868
    DOI: 10.1016/j.iref.2025.104023
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1059056025001868
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.iref.2025.104023?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. Georgios Petropoulos & David Pichler & Francesco Chiacchio, 2018. "The impact of industrial robots on EU employment and wages- A local labour market approach," Bruegel Working Papers 25186, Bruegel.
    2. Boehm, Christoph E. & Flaaen, Aaron & Pandalai-Nayar, Nitya, 2020. "Multinationals, Offshoring, and the Decline of U.S. Manufacturing," Journal of International Economics, Elsevier, vol. 127(C).
    3. Zhang, Fan & Meng, Lei & Sun, Wen & Si, Yanwu, 2021. "Information technology and the labor market in China," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 156-168.
    4. Olivier Blanchard & Francesco Giavazzi, 2003. "Macroeconomic Effects of Regulation and Deregulation in Goods and Labor Markets," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 879-907.
    5. Robert M. Solow, 1956. "A Contribution to the Theory of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 70(1), pages 65-94.
    6. Brent Neiman, 2014. "The Global Decline of the Labor Share," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(1), pages 61-103.
    7. 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.
    8. Gilbert Cette & Sandra Nevoux & Loriane Py, 2022. "The impact of ICTs and digitalization on productivity and labor share: evidence from French firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 31(8), pages 669-692, November.
    9. Rudy Fichtenbaum, 2011. "Do Unions Affect Labor's Share of Income: Evidence Using Panel Data," American Journal of Economics and Sociology, Wiley Blackwell, vol. 70(3), pages 784-810, July.
    10. Prettner, Klaus, 2019. "A Note On The Implications Of Automation For Economic Growth And The Labor Share," Macroeconomic Dynamics, Cambridge University Press, vol. 23(3), pages 1294-1301, April.
    11. 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.
    12. Erik Brynjolfsson & Kristina McElheran, 2016. "The Rapid Adoption of Data-Driven Decision-Making," American Economic Review, American Economic Association, vol. 106(5), pages 133-139, May.
    13. Jiang, Yiyun & Wang, Xiufeng & Sam, Toong Hai & Vasudevan, Asokan, 2024. "Digital transformation, equity pledge and labor income share," Finance Research Letters, Elsevier, vol. 64(C).
    14. Michael Elsby & Bart Hobijn & Ayseful Sahin, 2013. "The Decline of the U.S. Labor Share," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 44(2 (Fall)), pages 1-63.
    15. 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.
    16. 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.
    17. Simcha Barkai, 2020. "Declining Labor and Capital Shares," Journal of Finance, American Finance Association, vol. 75(5), pages 2421-2463, October.
    18. Alexander Hijzen & Holger Görg & Robert C. Hine, 2005. "International Outsourcing and the Skill Structure of Labour Demand in the United Kingdom," Economic Journal, Royal Economic Society, vol. 115(506), pages 860-878, October.
    19. Li, Minghuan & Jiang, Anxuan & Ma, Jianteng, 2023. "Digital transformation and income inequality within enterprises – Evidence from listed companies in China," Pacific-Basin Finance Journal, Elsevier, vol. 81(C).
    20. Hong Yang & Wen Zhang, 2024. "Explaining the decline of China's labor share: A wide replication of Oberfield and Raval (2021)," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(6), pages 1190-1197, September.
    21. 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.
    22. Dauth, Wolfgang & Findeisen, Sebastian & Südekum, Jens & Wößner, Nicole, 2017. "German robots - the impact of industrial robots on workers," IAB-Discussion Paper 201730, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    23. David Klenert & Enrique Fernández-Macías & José-Ignacio Antón, 2023. "Do robots really destroy jobs? Evidence from Europe," Economic and Industrial Democracy, Department of Economic History, Uppsala University, Sweden, vol. 44(1), pages 280-316, February.
    24. John Hutchinson & Damiaan Persyn, 2012. "Globalisation, concentration and footloose firms: in search of the main cause of the declining labour share," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 148(1), pages 17-43, April.
    25. Ann Harrison, 2022. "Has Globalization Eroded Labor’s Share? Some Cross-Country Evidence," World Scientific Book Chapters, in: Globalization, Firms, and Workers, chapter 5, pages 89-135, World Scientific Publishing Co. Pte. Ltd..
    26. Südekum, Jens & Dauth, Wolfgang & Findeisen, Sebastian & Woessner, Nicole, 2017. "German Robots – The Impact of Industrial Robots on Workers," CEPR Discussion Papers 12306, C.E.P.R. Discussion Papers.
    27. Chi, Wei & Qian, Xiaoye, 2013. "Regional disparity of labor's share in China: Evidence and explanation," China Economic Review, Elsevier, vol. 27(C), pages 277-293.
    28. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343, National Bureau of Economic Research, Inc.
    29. 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.
    30. Shakina, Elena & Parshakov, Petr & Alsufiev, Artem, 2021. "Rethinking the corporate digital divide: The complementarity of technologies and the demand for digital skills," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    31. Li, Chengming & Huo, Peng & Wang, Zeyu & Zhang, Weiguang & Liang, Feiyan & Mardani, Abbas, 2023. "Digitalization generates equality? Enterprises’ digital transformation, financing constraints, and labor share in China," Journal of Business Research, Elsevier, vol. 163(C).
    32. Li, Bing & Liu, Chang & Sun, Stephen Teng, 2021. "Do corporate income tax cuts decrease labor share? Regression discontinuity evidence from China," Journal of Development Economics, Elsevier, vol. 150(C).
    33. Piret TONURIST & Erkki KARO, 2016. "State Owned Enterprises As Instruments Of Innovation Policy," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 87(4), pages 623-648, December.
    34. Charles J. Hadlock & Joshua R. Pierce, 2010. "New Evidence on Measuring Financial Constraints: Moving Beyond the KZ Index," The Review of Financial Studies, Society for Financial Studies, vol. 23(5), pages 1909-1940.
    35. Qian Sun, 2018. "Explaining the state-owned enterprise wage premium in China: is it unobserved heterogeneity?," Economic and Political Studies, Taylor & Francis Journals, vol. 6(2), pages 135-157, April.
    36. Cui, Guanghui & Zhang, Yi & Ma, Jingwen & Yao, Wenyun, 2023. "Does environmental regulation affect the labor income share of manufacturing enterprises? Evidence from China," Economic Modelling, Elsevier, vol. 123(C).
    37. J. R. Hicks, 1963. "The Theory of Wages," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-349-00189-7, August.
    38. Ma, Bianjing & Chen, Lei & Wang, Xiaohui & Ding, Song, 2024. "Who benefits more from the digital economy: (Non-)Cognitive ability and the labor income premium," International Review of Economics & Finance, Elsevier, vol. 96(PB).
    39. Xudong Li & Gen-Fu Feng & Wai Yan Shum & Kam Hung Chui, 2024. "The Impacts of Digital Transformation on Labor Income Share: Evidence from China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 60(6), pages 1265-1280, May.
    40. Nicholas Kaldor, 1961. "Capital Accumulation and Economic Growth," International Economic Association Series, in: D. C. Hague (ed.), The Theory of Capital, chapter 0, pages 177-222, Palgrave Macmillan.
    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. Stähler, Nikolai, 2021. "The Impact of Aging and Automation on the Macroeconomy and Inequality," Journal of Macroeconomics, Elsevier, vol. 67(C).
    2. Gregory, Terry & Salomons, Anna & Zierahn, Ulrich, 2016. "Racing With or Against the Machine? Evidence from Europe," VfS Annual Conference 2016 (Augsburg): Demographic Change 145843, Verein für Socialpolitik / German Economic Association.
    3. Abeliansky, Ana Lucia & Prettner, Klaus, 2017. "Automation and demographic change," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168215, Verein für Socialpolitik / German Economic Association.
    4. 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).
    5. Abeliansky, Ana Lucia & Prettner, Klaus, 2021. "Population growth and automation density: theory and cross-country evidence," Department of Economics Working Paper Series 315, WU Vienna University of Economics and Business.
    6. Alessandro Bellocchi & Giovanni Marin & Giuseppe Travaglini, 2021. "The Great Fall of Labor Share:Micro Determinants for EU Countries Over 2011-2019," Working Papers 2102, University of Urbino Carlo Bo, Department of Economics, Society & Politics - Scientific Committee - L. Stefanini & G. Travaglini, revised 2021.
    7. Shimizu, Ryosuke & Momoda, Shohei, 2023. "Does automation technology increase wage?," Journal of Macroeconomics, Elsevier, vol. 77(C).
    8. Gao, Jie & Li, Zhizhuo & Nguyen, Thithuha & Zhang, Wentao, 2025. "Digital transformation and enterprise employment," International Review of Economics & Finance, Elsevier, vol. 99(C).
    9. Dario Cords & Klaus Prettner, 2022. "Technological unemployment revisited: automation in a search and matching framework [The future of work: meeting the global challenges of demographic change and automation]," Oxford Economic Papers, Oxford University Press, vol. 74(1), pages 115-135.
    10. Montobbio, Fabio & Staccioli, Jacopo & Virgillito, Maria Enrica & Vivarelli, Marco, 2022. "Robots and the origin of their labour-saving impact," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    11. 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.
    12. Zhang, Xinchun & Sun, Murong & Liu, Jianxu & Xu, Aijia, 2024. "The nexus between industrial robot and employment in China: The effects of technology substitution and technology creation," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    13. Abeliansky, Ana Lucia & Prettner, Klaus, 2023. "Automation and population growth: Theory and cross-country evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 208(C), pages 345-358.
    14. Francesco Bloise & Irene Brunetti & Valeria Cirillo, 2022. "Firm strategies and distributional dynamics: labour share in Italian medium-large firms," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 39(2), pages 623-655, July.
    15. 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).
    16. Fernández-Macías, Enrique & Klenert, David & Antón, José-Ignacio, 2021. "Not so disruptive yet? Characteristics, distribution and determinants of robots in Europe," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 76-89.
    17. Guendalina Anzolin, 2021. "Automation and its Employment Effects: A Literature Review of Automotive and Garment Sectors," JRC Working Papers on Labour, Education and Technology 2021-16, Joint Research Centre.
    18. Naude, Wim, 2019. "The race against the robots and the fallacy of the giant cheesecake: Immediate and imagined impacts of artificial intelligence," MERIT Working Papers 2019-005, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    19. 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.
    20. 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).

    More about this item

    Keywords

    Digital innovation; Labor share; Factor allocation; Wage inequality;
    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
    • D33 - Microeconomics - - Distribution - - - Factor Income Distribution
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    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:reveco:v:99:y:2025:i:c:s1059056025001868. 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/inca/620165 .

    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.