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Discovering the regional innovation potential for Smart Specialization

The case of the two Baltic Sea Regions

Bibliographic Data

ID11264630
AuthorsŽivile Gedminaitė-Raudonė (0000-0001-8437-5368, Lithuanian Centre for Social Sciences, corresponding author), Seija Virkkala (0000-0003-2294-5243, University of Vaasa), Rita Lankauskien ė, Rita Lankauskien​ė (Lithuanian Centre for Social Sciences), Åge Mariussen (University of Vaasa), Antti Mäenpää (University of Vaasa)
Year2023
Volume54
Issue3
Pages467-489
Publication date2023-07-03
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Baltic Studies (JOURNAL)
Journal identifiersISSN: 0162-9778 • E-ISSN: 1751-7877
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/01629778.2022.2109698
OpenAlexW4292115470
LanguageEN
Citations received1
References cited26

The EU Commission launched an innovation strategy called Smart Specialization in 2012. Smart Specialization is a framework for developing policies unleashing place-based economic potential. Evaluations, however, have shown that appropriate innovation policy decisions are difficult. There is an innovation policy potential that must first be unleashed. This article shows how the application of a method – connectivity analysis – developed through a Baltic Sea Region project ‘LARS – Learning Among Regions on Smart Specialization,’ can be used to support Smart Specialization. The method includes transnational comparisons and targeted policy recommendations for public sector institutions operating within various institutional frameworks and different clusters. It consists of instruments (gaps and factors) measuring collaboration through interviews of 141 quadruple-helix stakeholders across eight Baltic Sea regions

Baltic sea · Business · Commission · Economic geography · Economic growth · Economics · European commission · European union · Geography · Industrial organization · International trade · Public policy · Regional science · Innovation and Knowledge Management · Regional Development and Policy · University-Industry-Government Innovation Models · Oceanography

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Unique citing works1
Citations per year1
Citation span2025 - 2025 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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