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Cluster Evolution, Regional Innovation Systems and Knowledge Bases. The Development and Transformation of the ICT Cluster in Southern Sweden

Author

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  • Martin, Roman

    (CIRCLE, Lund University)

  • Trippl, Michaela

    (CIRCLE, Lund University)

Abstract

This paper extends research on long-term cluster evolution with a context sensitive conceptual framework that highlights how configurations of regional innovation systems (RIS), their knowledge base specificities and policy actions can shape cluster development and transformation. By doing so, we redress the neglect of regional context specific factors by current accounts of cluster life cycle models. The empirical part of the paper deals with the evolution of the ICT cluster in Scania, southern Sweden. The emergence of the cluster in the early 1980s was enabled by a strong analytical and synthetic knowledge base in the region, and the subsequent growth was driven by intense collaboration between industry and academia. The changing geography of the ICT industry in the past decade brought along new challenges for the existing companies and led to a transformation of the cluster towards a new growth trajectory. Cluster transformation was facilitated by policy actions that promoted symbolic knowledge activities in the region. The strategy was to combine existing competences in mobile communication with new competences in media and design, and to develop new industrial activities around the theme of New Media, which integrates analytical, synthetic and symbolic knowledge. In the case of Scania, the endowment of the RIS of a variety of knowledge bases and their combination has led to successful cluster development in spite of challenges resulting from changing socio-economic conditions.

Suggested Citation

  • Martin, Roman & Trippl, Michaela, 2015. "Cluster Evolution, Regional Innovation Systems and Knowledge Bases. The Development and Transformation of the ICT Cluster in Southern Sweden," Papers in Innovation Studies 2015/24, Lund University, CIRCLE - Centre for Innovation Research.
  • Handle: RePEc:hhs:lucirc:2015_024
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    References listed on IDEAS

    as
    1. Michaela Trippl & Markus Grillitsch & Arne Isaksen & Tanja Sinozic, 2015. "Perspectives on Cluster Evolution: Critical Review and Future Research Issues," European Planning Studies, Taylor & Francis Journals, vol. 23(10), pages 2028-2044, October.
    2. Roman Martin & Jerker Moodysson, 2010. "Innovation in Symbolic Industries: The Geography and Organization of Knowledge Sourcing," European Planning Studies, Taylor & Francis Journals, vol. 19(7), pages 1183-1203, September.
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    Cited by:

    1. Bjørn T. Asheim & Arne Isaksen & Roman Martin & Michaela Trippl, 2017. "The role of clusters and public policy in new regional economic path development," Chapters, in: Dirk Fornahl & Robert Hassink (ed.), The Life Cycle of Clusters, chapter 1, pages 13-34, Edward Elgar Publishing.
    2. Ron Boschma, 2017. "A concise history of the knowledge base literature: challenging questions for future research," Papers in Evolutionary Economic Geography (PEEG) 1721, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Sep 2017.
    3. Yijia Chen & Robert Hassink, 2019. "Multi-scalar knowledge bases for new regional industrial path development: Toward a typology," PEGIS geo-disc-2019_10, Institute for Economic Geography and GIScience, Department of Socioeconomics, Vienna University of Economics and Business.

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    More about this item

    Keywords

    Cluster evolution; knowledge bases; regional innovation systems; innovation policy; ICT; New Media; Sweden;
    All these keywords.

    JEL classification:

    • B52 - Schools of Economic Thought and Methodology - - Current Heterodox Approaches - - - Historical; Institutional; Evolutionary; Modern Monetary Theory;
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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