IDEAS home Printed from https://ideas.repec.org/a/eee/techno/v141y2025ics016649722500001x.html
   My bibliography  Save this article

Multiple proximities and inter-agency collaboration within a policy network: The case of innovation policymaking in China

Author

Listed:
  • Sun, Yutao
  • Jiang, Lin
  • Cao, Cong

Abstract

Previous innovation studies have not only focused on the nexus between proximity and the structure of innovation networks but also on the drivers of inter-agency collaboration within policy networks. However, a lack of attention has been paid to the role of proximity between agencies in innovation policy networks. To fill this gap in literature, this study examines the impact of institutional, cognitive, social, organizational, and resource proximities on inter-agency collaboration for innovation policymaking. China’s innovation policy network is analyzed from 2010 to 2019. The network consists of 67 government agencies, and the analysis includes a total of 19,899 agency pair-year observations. The results reveal that institutional, cognitive, social, and organizational proximities facilitate inter-agency collaboration. Conversely, resource proximity has been found to impede such collaboration. In terms of the strength of proximity effects on shaping collaboration, social proximity has the largest impact, followed by organizational and institutional proximity. Cognitive proximity, however, exerts the weakest effect of all.

Suggested Citation

  • Sun, Yutao & Jiang, Lin & Cao, Cong, 2025. "Multiple proximities and inter-agency collaboration within a policy network: The case of innovation policymaking in China," Technovation, Elsevier, vol. 141(C).
    • Handle: RePEc:eee:techno:v:141:y:2025:i:c:s016649722500001x
    DOI: 10.1016/j.technovation.2025.103169
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S016649722500001X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.technovation.2025.103169?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.

    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:techno:v:141:y:2025:i:c:s016649722500001x. 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.sciencedirect.com/science/journal/01664972 .

    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.