IDEAS home Printed from https://ideas.repec.org/a/taf/regstd/v53y2019i9p1333-1343.html
   My bibliography  Save this article

Knowledge networks in regional development: an agent-based model and its application

Author

Listed:
  • Tamás Sebestyén
  • Attila Varga

Abstract

Interventions targeting the support of interregional knowledge networks have become an increasingly important part of modern regional development policy. However, our knowledge is limited with respect to the potential economic effects of concrete policy interventions. In order to examine these effects, we developed an agent-based model of network formation. We discuss the model in detail and provide the results of a simulation that illustrates how the agent-based model might be applied to help solve an important practical problem, namely prioritization, in Smart Specialisation policy.

Suggested Citation

  • Tamás Sebestyén & Attila Varga, 2019. "Knowledge networks in regional development: an agent-based model and its application," Regional Studies, Taylor & Francis Journals, vol. 53(9), pages 1333-1343, September.
    • Handle: RePEc:taf:regstd:v:53:y:2019:i:9:p:1333-1343
    DOI: 10.1080/00343404.2019.1622663
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00343404.2019.1622663
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00343404.2019.1622663?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Anna Varga-Csajkás & Tamás Sebestyén & Attila Varga, 2023. "Dynamics of collaboration among high-growth firms: results from an agent-based policy simulation," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 70(2), pages 353-377, April.
    2. Haruo H. Horaguchi & Toichiro Susumago, 2022. "Global R&D Location Strategy of Multinational Enterprises: an Agent-Based Simulation Modeling Approach," Journal of Industry, Competition and Trade, Springer, vol. 22(3), pages 457-479, December.

    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:regstd:v:53:y:2019:i:9:p:1333-1343. 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/CRES20 .

    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.