IDEAS home Printed from https://ideas.repec.org/a/wly/mgtdec/v46y2025i1p129-148.html
   My bibliography  Save this article

Can industrial robot utilization drive the total factor productivity of enterprises?

Author

Listed:
  • Tianru Qin
  • Lin Liang
  • Peng Liang
  • Wenqun Liang

Abstract

This study presents a comprehensive investigation of the impact and mechanism of industrial robot utilization on total factor productivity (TFP) using panel data from A‐share listed companies in China's manufacturing industry. Our findings reveal the significant contribution of industrial robots to enhancing TFP in microenterprises, with this influence persisting over time. Mechanism tests demonstrate that industrial robot utilization effectively reduces labor costs, mitigates financing constraints, and enhances innovation capabilities, thereby improving enterprises' TFP. Additionally, a heterogeneity analysis indicates a more pronounced impact of industrial robot utilization on TFP in labor‐intensive, non‐high‐tech enterprises, as well as in enterprises operating in highly competitive markets. This study deepens our understanding of industrial robot utilization and TFP, which broadens the scope of this field. This has significant practical implications for transforming traditional factors, integrating new technologies, and facilitating digital and intelligent transformations of manufacturing enterprises in emerging economies.

Suggested Citation

  • Tianru Qin & Lin Liang & Peng Liang & Wenqun Liang, 2025. "Can industrial robot utilization drive the total factor productivity of enterprises?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 46(1), pages 129-148, January.
    • Handle: RePEc:wly:mgtdec:v:46:y:2025:i:1:p:129-148
    DOI: 10.1002/mde.4364
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/mde.4364
    Download Restriction: no
    File URL: https://libkey.io/10.1002/mde.4364?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
    ---><---

    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:wly:mgtdec:v:46:y:2025:i:1:p:129-148. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/7976 .

    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.