IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v12y2025i1d10.1057_s41599-025-05249-1.html
   My bibliography  Save this article

Production automation and skill premium: a perspective of deepening the division of labor in enterprises

Author

Listed:
  • Huiping Li

    (Guangzhou College of Commerce)

  • Jun Wang

    (Guangdong University of Foreign Studies)

Abstract

This article describes the deepening of enterprise division of labor from three dimensions: vertical specialization level (VSI), global value chain (GVC) level and global value chain (GVC) position, and integrates production automation and deepening of enterprise division of labor within a framework to explore the impact of production automation on enterprise skill premium and the mechanism by which production automation affects skill premium by promoting deepening of enterprise division of labor. This article uses the matching data of the International Robotics Federation IFR data, Chinese industrial enterprise data, and Chinese customs data from 2001 to 2014 to conduct an empirical test. The result shows that the improvement of production automation level has expanded the skill premium of enterprises. The amplifying effect of production automation on the skill premium is stronger in firms with high levels of specialization and high levels and positions in global value chains. Improving production automation has expanded the skill premium in the context of deepening the division of labor in enterprises. The mechanism test shows that production automation can promote the deepening of enterprise division of labor, and there are chain and ripple effects of production automation on skill premium from the perspective of deepening multi-level division of labor. Heterogeneity testing shows that the chain and spillover effects have different strengths and weaknesses in the skill premium of general trading enterprises, enterprises in the Middle East, and non-state owned enterprises.

Suggested Citation

  • Huiping Li & Jun Wang, 2025. "Production automation and skill premium: a perspective of deepening the division of labor in enterprises," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-14, December.
  • Handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-05249-1
    DOI: 10.1057/s41599-025-05249-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-025-05249-1
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/s41599-025-05249-1?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. Ben Shepherd, 2013. "Global Value Chains and Developing Country Employment: A Literature Review," OECD Trade Policy Papers 156, OECD Publishing.
    2. 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.
    3. Pol Antras & Davin Chor & Thibault Fally & Russell Hillberry, 2012. "Measuring the Upstreamness of Production and Trade Flows," American Economic Review, American Economic Association, vol. 102(3), pages 412-416, May.
    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. Zhang, Chuanchuan, 2020. "Clans, entrepreneurship, and development of the private sector in China," Journal of Comparative Economics, Elsevier, vol. 48(1), pages 100-123.
    6. Xiao Jiang & William Milberg, 2013. "Capturing the jobs from globalization: trade and employment in global value chains," Global Development Institute Working Paper Series ctg-2013-30, GDI, The University of Manchester.
    7. 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.
    8. David Hummels & Rasmus J?rgensen & Jakob Munch & Chong Xiang, 2014. "The Wage Effects of Offshoring: Evidence from Danish Matched Worker-Firm Data," American Economic Review, American Economic Association, vol. 104(6), pages 1597-1629, June.
    9. Chen, Bo & Yu, Miaojie & Yu, Zhihao, 2017. "Measured skill premia and input trade liberalization: Evidence from Chinese firms," Journal of International Economics, Elsevier, vol. 109(C), pages 31-42.
    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. Anwar, Sajid & Sun, Sizhong, 2012. "Trade liberalisation, market competition and wage inequality in China's manufacturing sector," Economic Modelling, Elsevier, vol. 29(4), pages 1268-1277.
    12. 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.
    13. Miaojie Yu, 2015. "Processing Trade, Tariff Reductions and Firm Productivity: Evidence from Chinese Firms," Economic Journal, Royal Economic Society, vol. 125(585), pages 943-988, June.
    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. 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).
    2. 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).
    3. Gries, Thomas & Naudé, Wim, 2022. "Modelling artificial intelligence in economics," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 56, pages 1-12.
    4. Nicola Gagliardi & Benoît Mahy & François Rycx, 2020. "Trade, GVCs, and wage inequality: Theoretical and empirical insights," Reflets et perspectives de la vie économique, De Boeck Université, vol. 0(2), pages 115-134.
    5. 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).
    6. 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.
    7. Gravina, Antonio Francesco & Foster-McGregor, Neil, 2020. "Automation, globalisation and relative wages: An empirical analysis of winners and losers," MERIT Working Papers 2020-040, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    8. 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.
    9. Cao, Yuanyuan & Chen, Shaojian & Tang, Heyan, 2025. "Robot adoption and firm export: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 210(C).
    10. Gries, Thomas & Naude, Wim, 2018. "Artificial intelligence, jobs, inequality and productivity: Does aggregate demand matter?," MERIT Working Papers 2018-047, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    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. repec:ces:ceswps:_10987 is not listed on IDEAS
    13. Florencia Jaccoud & Fabien Petit & Tommaso Ciarli & Maria Savona, 2024. "Automation and Employment over the Technology Life Cycle: Evidence from European Regions," CEPEO Working Paper Series 24-02, UCL Centre for Education Policy and Equalising Opportunities, revised Feb 2024.
    14. Brezis, Elise & Rubin, Amir, 2025. "Polarization in Higher Education and Technological Leadership," MPRA Paper 124200, University Library of Munich, Germany.
    15. Xiang, Junyi & Kong, Dongmin & Zhang, Fan, 2025. "Labor cost, robots, and product quality," China Economic Review, Elsevier, vol. 90(C).
    16. Antonio Francesco Gravina & Neil Foster-McGregor, 2024. "Unraveling wage inequality: tangible and intangible assets, globalization and labor market regulations," Empirical Economics, Springer, vol. 67(4), pages 1375-1420, October.
    17. 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.
    18. Zoltan Csefalvay, 2019. "What are the policy options? A systematic review of policy responses to the impacts of robotisation and automation on the labour market," JRC Working Papers on Corporate R&D and Innovation 2019-02, Joint Research Centre.
    19. 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.
    20. Wu, Yongqiu & Lin, Zhiwei & Zhang, Qingcui & Wang, Wei, 2024. "Artificial intelligence, wage dynamics, and inequality: Empirical evidence from Chinese listed firms," International Review of Economics & Finance, Elsevier, vol. 96(PC).
    21. Aleksandra Parteka & Joanna Wolszczak-Derlacz, 2020. "Wage response to global production links: evidence for workers from 28 European countries (2005–2014)," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 156(4), pages 769-801, November.

    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:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-05249-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.com/palcomms/ .

    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.