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Knowledge Flows in High-Tech Industry Clusters: Dissemination Mechanisms and Innovation Regimes

In: Long Term Economic Development

Author

Listed:
  • Bo Carlsson

    (Case Western Reserve University)

Abstract

This paper explores knowledge flows, i.e., creation and dissemination of knowledge, in three types of clusters in order to lay a conceptual foundation for analysis of knowledge-based industry clusters and for technology policy. Distinction is made between two different innovation regimes: discovery-driven innovation, represented by Silicon Valley and Cambridge, UK, in semiconductors, and by Boston/Cambridge, the San Francisco Bay Area and Medicon Valley in biotechnology; and design-driven innovation as represented by Boeing in Seattle, Bombardier in Montreal, Airbus in Toulouse, and Saab in Linköping in the aircraft industry. In each cluster, the role of universities and other creators of knowledge is examined. The nature of knowledge dissemination is also analyzed, distinguishing between market-mediated transfers of knowledge and non-market mediated and undirected transfers (“true” spillovers). The role of new start-ups versus incumbent firms in knowledge dissemination and cluster growth is also examined.

Suggested Citation

  • Bo Carlsson, 2013. "Knowledge Flows in High-Tech Industry Clusters: Dissemination Mechanisms and Innovation Regimes," Economic Complexity and Evolution, in: Andreas Pyka & Esben Sloth Andersen (ed.), Long Term Economic Development, edition 127, pages 191-221, Springer.
    • Handle: RePEc:spr:eccchp:978-3-642-35125-9_9
    DOI: 10.1007/978-3-642-35125-9_9
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    Cited by:

    1. Vera Barinova & Stepan Zemtsov, 2015. "SME?s cluster identification in Russia," ERSA conference papers ersa15p572, European Regional Science Association.
    2. Carlsson, Bo, 2020. "How do you design an experimental economy?," Papers in Innovation Studies 2020/14, Lund University, CIRCLE - Centre for Innovation Research.
    3. Bembenek Boguslaw, 2016. "RFID within High-Tech Clusters – Towards a Knowledge-Based Economy," Economics and Business, Sciendo, vol. 28(1), pages 52-60, April.
    4. Stek, Pieter E. & van Geenhuizen, Marina S., 2016. "The influence of international research interaction on national innovation performance: A bibliometric approach," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 61-70.
    5. Giuseppe Calignano & Rune Dahl Fitjar, 2017. "Strengthening relationships in clusters: How effective is an indirect policy measure carried out in a peripheral technology district?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(1), pages 139-169, July.
    6. Vera Barinova & Denis Burkov & Stepan Zemtsov & Vladimir Eremkin, 2016. "Uncovering Regional Clustering of high technology SMEs: Russian Case," Working Papers 147, Gaidar Institute for Economic Policy, revised 2016.
    7. Carlsson , Bo, 2016. "Industrial Dynamics: A Review of the Literature 1990-2009," Papers in Innovation Studies 2016/3, Lund University, CIRCLE - Centre for Innovation Research.

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