 Evaluating social dynamics within technology clusters: A methodological approach to assess social capitalAlessandro Muscio, Antonio Lopolito and Gianluca Nardone Land Use Policy, 2019, vol. 88, issue C Abstract: Support for technology clusters is an important element of innovation policy, with an increasing number of national and regional plans promoting Research and Development projects in collaborative networks. This promotes the need to evaluate the effectiveness and efficiency of these policies. Several methods and techniques have been proposed, but a standardised approach has not yet emerged. It is important to assess the role of non-economic effects and, in this paper, we propose a methodology, which uses a social network approach, to assess the social capital outcomes of a technology district policy. Building on social capital theory, we construct a set of indicators to account for structural, relational and cognitive components, as well as bonding, bridging and linking kinds. This approach is not costly, in terms of data and information collection and can be combined with other methods that measure policy performance via physical, as well as economic, outputs and impacts. Keywords: Technology clusters; Technological districts; Social capital; Social network analysis (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:lauspo:v:88:y:2019:i:c:s0264837718302175 DOI: 10.1016/j.landusepol.2019.104161 Access Statistics for this article Land Use Policy is currently edited by Jaap Zevenbergen More articles in Land Use Policy from Elsevier |
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