IDEAS home Printed from https://ideas.repec.org/a/eee/asieco/v97y2025ics1049007825000107.html
   My bibliography  Save this article

Intelligent manufacturing and corporate human capital upgrade in China

Author

Listed:
  • Li, Xiaofan
  • Wang, Qiaochu
  • Kong, Dongmin
  • Tao, Yunqing

Abstract

This paper investigates whether and how intelligent manufacturing affects corporate human capital upgrade. We employ China’s intelligent manufacturing demonstration project as a quasi-natural experiment. Using a staggered difference-in-differences approach, we find that intelligent manufacturing is positively associated with corporate human capital upgrade. Moreover, it is shown that the capital-technology complementary effect and the enhancement of inventory management efficiency are mechanisms through which intelligent manufacturing promotes corporate human capital upgrade. Finally, our findings are more pronounced among firms in the high-tech industry and firms in the growth stage. Overall, we provide a timely assessment of China’s intelligent manufacturing demonstration project from the new perspective of corporate labor upgrading.

Suggested Citation

  • Li, Xiaofan & Wang, Qiaochu & Kong, Dongmin & Tao, Yunqing, 2025. "Intelligent manufacturing and corporate human capital upgrade in China," Journal of Asian Economics, Elsevier, vol. 97(C).
  • Handle: RePEc:eee:asieco:v:97:y:2025:i:c:s1049007825000107
    DOI: 10.1016/j.asieco.2025.101886
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1049007825000107
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.asieco.2025.101886?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. 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.
    2. 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.
    3. Goodman-Bacon, Andrew, 2021. "Difference-in-differences with variation in treatment timing," Journal of Econometrics, Elsevier, vol. 225(2), pages 254-277.
    4. 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.
    5. Clément de Chaisemartin & Xavier D'Haultfœuille, 2020. "Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects," American Economic Review, American Economic Association, vol. 110(9), pages 2964-2996, September.
    6. Doruk Cengiz & Arindrajit Dube & Attila Lindner & Ben Zipperer, 2019. "The Effect of Minimum Wages on Low-Wage Jobs," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(3), pages 1405-1454.
    7. Babina, Tania & Fedyk, Anastassia & He, Alex & Hodson, James, 2024. "Artificial intelligence, firm growth, and product innovation," Journal of Financial Economics, Elsevier, vol. 151(C).
    8. Liangcheng Wang & Yifan Liao & Yuye Ding & Tao Peng, 2021. "The effect of customer concentration on supplier sustainable growth: evidence from China," Applied Economics, Taylor & Francis Journals, vol. 53(17), pages 2015-2025, April.
    9. Vivian W. Fang & Xuan Tian & Sheri Tice, 2014. "Does Stock Liquidity Enhance or Impede Firm Innovation?," Journal of Finance, American Finance Association, vol. 69(5), pages 2085-2125, October.
    10. Han, Yue & Yang, Jie & Ying, Limeng & Niu, Yanfang, 2024. "The impact of corporate digital transformation on labor employment," Finance Research Letters, Elsevier, vol. 60(C).
    11. Li, Wencong & Yang, Xingquan & Yin, Xingqiang, 2024. "Digital transformation and labor upgrading," Pacific-Basin Finance Journal, Elsevier, vol. 83(C).
    12. Dou, Bin & Guo, SongLin & Chang, XiaoChen & Wang, Yong, 2023. "Corporate digital transformation and labor structure upgrading," International Review of Financial Analysis, Elsevier, vol. 90(C).
    13. Braganza, Ashley & Brooks, Laurence & Nepelski, Daniel & Ali, Maged & Moro, Russ, 2017. "Resource management in big data initiatives: Processes and dynamic capabilities," Journal of Business Research, Elsevier, vol. 70(C), pages 328-337.
    14. Li, Tao, 2024. "Does smart transformation in manufacturing promote enterprise value chain upgrades?," Finance Research Letters, Elsevier, vol. 69(PA).
    15. 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.
    16. Thorsten Beck & Ross Levine & Alexey Levkov, 2010. "Big Bad Banks? The Winners and Losers from Bank Deregulation in the United States," Journal of Finance, American Finance Association, vol. 65(5), pages 1637-1667, October.
    17. Zhang, Xinchun & Yu, Qi & Liu, Jianxu & He, Ying & Xu, Aijia, 2024. "The application of industrial robots and changes in capital-labour income disparity in China," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 42-56.
    18. Kumar, V. & Ramachandran, Divya & Kumar, Binay, 2021. "Influence of new-age technologies on marketing: A research agenda," Journal of Business Research, Elsevier, vol. 125(C), pages 864-877.
    19. Huang, Yuhong, 2024. "Digital transformation of enterprises: Job creation or job destruction?," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    20. Toorajipour, Reza & Sohrabpour, Vahid & Nazarpour, Ali & Oghazi, Pejvak & Fischl, Maria, 2021. "Artificial intelligence in supply chain management: A systematic literature review," Journal of Business Research, Elsevier, vol. 122(C), pages 502-517.
    21. Zhong, Rong (Irene), 2018. "Transparency and firm innovation," Journal of Accounting and Economics, Elsevier, vol. 66(1), pages 67-93.
    22. Tao, Yunqing & Kong, Dongmin & Sun, Nan & Li, Xiaofan, 2024. "Social credit and corporate risk-taking: Evidence from China," Research in International Business and Finance, Elsevier, vol. 69(C).
    23. Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens, 2004. "Implementing matching estimators for average treatment effects in Stata," Stata Journal, StataCorp LLC, vol. 4(3), pages 290-311, September.
    24. Zeba, Gordana & Dabić, Marina & Čičak, Mirjana & Daim, Tugrul & Yalcin, Haydar, 2021. "Technology mining: Artificial intelligence in manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    25. Toni M. Whited & Guojun Wu, 2006. "Financial Constraints Risk," The Review of Financial Studies, Society for Financial Studies, vol. 19(2), pages 531-559.
    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. Fan, Xiamin & Wu, Yuhui & Zhou, Yucheng & Wu, Shinong, 2025. "How does artificial intelligence shock affect labor income distribution? Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 90(C).
    2. Xu, Chongchong & Lin, Boqiang, 2025. "The AI-sustainability Nexus: How does intelligent transformation affect corporate green innovation?," International Review of Financial Analysis, Elsevier, vol. 102(C).
    3. Yu, Lianchao & Liu, Donghui & Liu, Qiang & Han, Hongling, 2025. "De-localization of environmental governance and corporate innovation structure: Evidence from a quasi-natural experiment in China," Research in International Business and Finance, Elsevier, vol. 73(PA).
    4. Zhang, Jingxue & Yu, Shiwei & Zhang, Yue-Jun & Su, Bin & Sun, Ya-Fang, 2025. "How do renewable energy policies affect energy green development? Evidence from Chinese listed energy firms," Energy Economics, Elsevier, vol. 142(C).
    5. Cao, Qingfeng & Ni, Pengfei & Guo, Jing, 2025. "Broadband internet and income inequality among the floating population: Evidence from the “broadband China” strategy in China," China Economic Review, Elsevier, vol. 90(C).
    6. Gao, Jie & Li, Zhizhuo & Nguyen, Thithuha & Zhang, Wentao, 2025. "Digital transformation and enterprise employment," International Review of Economics & Finance, Elsevier, vol. 99(C).
    7. Andreas Baur & Lisandra Flach & Isabella Gourevich & Florian Unger, 2023. "North-South Trade: The Impact of Robotization," CESifo Working Paper Series 10865, CESifo.
    8. Li, Daiyue & Jin, Yanhong & Cheng, Mingwang, 2024. "Unleashing the power of industrial robotics on firm productivity: Evidence from China," Journal of Economic Behavior & Organization, Elsevier, vol. 224(C), pages 500-520.
    9. Zhou, Yuwen & Shi, Xin, 2025. "How does digital technology adoption affect corporate employment? Evidence from China," Economic Modelling, Elsevier, vol. 147(C).
    10. Dai, Hangrui & Yang, Ronghai & Cao, Rongguang & Yin, Lei, 2024. "Does the application of industrial robots promote export green transformation? Evidence from Chinese manufacturing enterprises," International Review of Economics & Finance, Elsevier, vol. 96(PA).
    11. Deng, Liuchun & Müller, Steffen & Plümpe, Verena & Stegmaier, Jens, 2024. "Robots, occupations, and worker age: A production-unit analysis of employment," European Economic Review, Elsevier, vol. 170(C).
    12. Liang, Peng & Liang, Lin & Tang, Xinhui, 2024. "The impact of digital-oriented mergers and acquisitions on enterprise labor demand," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    13. David Autor & Caroline Chin & Anna Salomons & Bryan Seegmiller, 2024. "New Frontiers: The Origins and Content of New Work, 1940–2018," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 139(3), pages 1399-1465.
    14. Cirillo, Valeria & Mina, Andrea & Ricci, Andrea, 2024. "Digital technologies, labor market flows and training: Evidence from Italian employer-employee data," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    15. Qiao, Xiaole & He, Yang & Du, Qiang, 2025. "How does the urban digital economy drive labor allocation in China?—A perspective of factor mobility between digital and non-digital enterprises," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 1159-1175.
    16. Ma, Rui & Guo, Fei & Li, Dongdong, 2024. "Can public data availability affect stock price crash risk? Evidence from China," International Review of Financial Analysis, Elsevier, vol. 94(C).
    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. repec:ces:ceswps:_10955 is not listed on IDEAS
    19. 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).
    20. Dai, Yanke & Du, Ting & Gao, Huasheng & Gu, Yan & Wang, Yongqin, 2024. "Patent pledgeability, trade secrecy, and corporate patenting," Journal of Corporate Finance, Elsevier, vol. 85(C).
    21. Chuanlin Wang, & Guowan Yan & Jing Yang, 2025. "Navigating Employment Transformations: Liberalism vs. Statism in the Era of Industry 4.0," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 27(68), pages 145-145, February.

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • G38 - Financial Economics - - Corporate Finance and Governance - - - Government Policy and Regulation
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure

    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:asieco:v:97:y:2025:i:c:s1049007825000107. 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.