IDEAS home Printed from https://ideas.repec.org/a/taf/reroxx/v35y2022i1p391-408.html
   My bibliography  Save this article

Government R&D subsidies and enterprise R&D activities: theory and evidence

Author

Listed:
  • Wan-Shu Wu
  • Kai Zhao

Abstract

Under the control of multi-dimensional factors such as industry and enterprise characteristics, this paper examines the impact of government R&D subsidies on enterprise R&D activities, both theoretically and empirically. Theoretically, on the basis of Symeonidis model, this paper establishes a three-stage dynamic game model by introducing the government R&D subsidy, in order to expand the existing theory. Taking the data of the listed enterprises in China as the research sample, the Spatial Quantile Autoregressive Regression method, which has the ability to examine both spatial effect and quantile effect, is used to test the theoretical results. It is found that R&D subsidies play a significant positive role in stimulating the R&D activities of enterprises, and the incentive effect of subsidies is more obvious with the increase of R&D investment and R&D efficiency. Furthermore, the spillover effect can improve R&D efficiency, and this effect will be gradually strengthened with the increase of quantile.

Suggested Citation

  • Wan-Shu Wu & Kai Zhao, 2022. "Government R&D subsidies and enterprise R&D activities: theory and evidence," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 35(1), pages 391-408, December.
  • Handle: RePEc:taf:reroxx:v:35:y:2022:i:1:p:391-408
    DOI: 10.1080/1331677X.2021.1893204
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1331677X.2021.1893204
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/1331677X.2021.1893204?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.

    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:taf:reroxx:v:35:y:2022:i:1:p:391-408. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/rero .

    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.