IDEAS home Printed from https://ideas.repec.org/a/taf/ecinnt/v33y2024i1p66-91.html
   My bibliography  Save this article

Innovation and skill premium

Author

Listed:
  • Luca Cattani
  • Giovanni Guidetti
  • Riccardo Leoncini

Abstract

The relationship between innovation and skill premium is analysed on a panel of 12 countries for a 16-year span (2000–2015). According to a Schumpeterian view, a non-linear relationship between innovation and skill premium is found showing a threshold effect that reverses the relationship for relatively high levels of innovative activity. Moreover, the relationships change from convex to concave when variables representing different types of innovative activity are considered. In fact, with R&D a positive relationship with skill premium reverses once a threshold is exceeded, while the opposite holds for patents, for which the relationship is initially negative and then becomes positive. We argue that this is due to the different degrees of appropriability of the knowledge produced by innovators with these activities. We then show how to exploit these different patterns to provide a truly innovation-based analysis of the patterns of skill premium for the United States, France, Germany and Great Britain.

Suggested Citation

  • Luca Cattani & Giovanni Guidetti & Riccardo Leoncini, 2024. "Innovation and skill premium," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 33(1), pages 66-91, January.
    • Handle: RePEc:taf:ecinnt:v:33:y:2024:i:1:p:66-91
    DOI: 10.1080/10438599.2022.2144844
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10438599.2022.2144844
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/10438599.2022.2144844?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:ecinnt:v:33:y:2024:i:1:p:66-91. 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/GEIN20 .

    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.