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The role of proximity in stakeholder networks for smart specialisation: a sparsely populated area case study

The role of proximity in stakeholder networks for smart specialisation: a sparsely populated area case study

Ghinoi, Stefano ORCID: 0000-0002-9857-4736, Steiner, Bodo and Makkonen, Teemu (2021) The role of proximity in stakeholder networks for smart specialisation: a sparsely populated area case study. Innovation: The European Journal of Social Science Research. ISSN 1351-1610 (Print), 1469-8412 (Online) (In Press) (doi:https://doi.org/10.1080/13511610.2021.1879631)

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Abstract

The European Smart Specialisation Strategy (S3) with its underlying aim to support regional growth, cohesion, and innovation has by now been widely applied to European Sparsely Populated Areas (SPAs). Previous works have identified that intra-regional stakeholder networks are important for a successful S3 implementation, and that their establishment is related to the level of proximity between stakeholders; however, the nature of such networks in the context of developing S3 in SPAs deserves further investigation. This paper explores how different dimensions of proximity are associated with intra-regional networks aimed at implementing S3 in a Northern European SPA (Lapland, Finland). The results suggest that geographical and cognitive proximity are positively associated with both formal and informal networking, while institutional proximity is negatively related with informal networking, suggesting that effective policy interventions require multiple relationships to be activated through supporting greater diversity between SPAs stakeholders.

Item Type: Article
Uncontrolled Keywords: smart specialisation strategy, sparsely populated areas, social network analysis, proximity, Finland
Subjects: H Social Sciences > H Social Sciences (General)
Faculty / Department / Research Group: Faculty of Business
Faculty of Business > Department of International Business & Economics
Faculty of Business > Networks and Urban Systems Centre (NUSC)
Faculty of Business > Networks and Urban Systems Centre (NUSC) > Centre for Business Network Analysis (CBNA)
Last Modified: 12 Apr 2021 20:33
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/31069

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