IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v29y2022i13p1158-1167.html
   My bibliography  Save this article

Does partisan conflict affect US innovation?

Author

Listed:
  • Zehai Zhou
  • Wantao Sun
  • Huaxin Xiao
  • Wanhai You

Abstract

This article explores the influence of partisan conflict on innovation using panel data of 48 mainland US states over the period from 1992 to 2013. A novel indicator of the US partisan conflict, first proposed by Professor Marina Azzimonti, is employed. The nonlinear nexus is tested by accommodating cubic polynomial functional forms. Results show that the relationship between partisan conflict and innovation presents an inverted N-shape with two turning points. That is, the effect might change with partisan conflict. To further study the heterogeneous impact of partisan conflict across different economic development levels, this article divides these states into high- and low-income groups. Subsample analysis concludes that the relationship between partisan conflict and innovation is inverted N-shaped in both high- and low-income groups. A comparative analysis of the turning points between these two groups is conducted. The findings contribute to previous studies in identifying the role of partisan conflict in innovation.

Suggested Citation

  • Zehai Zhou & Wantao Sun & Huaxin Xiao & Wanhai You, 2022. "Does partisan conflict affect US innovation?," Applied Economics Letters, Taylor & Francis Journals, vol. 29(13), pages 1158-1167, July.
  • Handle: RePEc:taf:apeclt:v:29:y:2022:i:13:p:1158-1167
    DOI: 10.1080/13504851.2021.1915462
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13504851.2021.1915462
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13504851.2021.1915462?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:apeclt:v:29:y:2022:i:13:p:1158-1167. 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/RAEL20 .

    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.