Knowledge networks in regional development: an agent-based model and its application
Tamás Sebestyén and
Attila Varga
Regional Studies, 2019, vol. 53, issue 9, 1333-1343
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.
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://hdl.handle.net/10.1080/00343404.2019.1622663 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:regstd:v:53:y:2019:i:9:p:1333-1343
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CRES20
DOI: 10.1080/00343404.2019.1622663
Access Statistics for this article
Regional Studies is currently edited by Ivan Turok
More articles in Regional Studies from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().