IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v102y2025ics1059056025005052.html
   My bibliography  Save this article

Research on wage distortion in R&D and innovation activities —— Evidence from China's listed manufacturing enterprises

Author

Listed:
  • Ding, Yijiu
  • Li, Bo
  • Lan, Dahai
  • Yu, Chunrong
  • Zhang, Xueqing

Abstract

Under the dual emphasis on the innovation-driven development strategy and the goal of common prosperity, scientifically evaluating wage distortion in R&D and innovation activities (WD-RDIA) is of critical importance for improving income distribution mechanisms, enhancing innovation efficiency, and strengthening national core competitiveness. This study utilizes data from China's listed manufacturing enterprises from 2018 to 2023, and applies a measurement method under conditions of imperfect competition to investigate WD-RDIA. The findings are as follows: First, WD-RDIA is widespread among China's manufacturing enterprises, and exceeding the average wage distortion across the entire production and operation process. Second, WD-RDIA exhibits notable heterogeneity. Regarding ownership structure, WD-RDIA is most pronounced in privately-owned enterprises, followed by foreign-funded enterprises, with state-owned enterprises experiencing relatively lower levels. From industry characters perspective, WD-RDIA is most severe in capital-intensive enterprises, while it is relatively weaker in labor-intensive and technology-intensive enterprises, both of which are less affected than capital-intensive industries. Third, employment pressure has amplified enterprises' bargaining power in wage decision-making processes, serving as an important driver of WD-RDIA.

Suggested Citation

  • Ding, Yijiu & Li, Bo & Lan, Dahai & Yu, Chunrong & Zhang, Xueqing, 2025. "Research on wage distortion in R&D and innovation activities —— Evidence from China's listed manufacturing enterprises," International Review of Economics & Finance, Elsevier, vol. 102(C).
  • Handle: RePEc:eee:reveco:v:102:y:2025:i:c:s1059056025005052
    DOI: 10.1016/j.iref.2025.104342
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1059056025005052
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.iref.2025.104342?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.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:102:y:2025:i:c:s1059056025005052. 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: 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.