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How do Clusters/Pipelines and Core/Periphery Structures Work Together in Knowledge Processes?

Author

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  • Pierre-Alexandre Balland
  • Raphael Suire
  • Jerome Vicente

Abstract

This paper contributes to the empirical identification of geographical and structural properties of innovative networks, focusing on the particular case of Global Navigation Satellite Systems (GNSS) at the European level. We show that knowledge bases of organizations and knowledge phases of the innovation process are the critical factors in determining the nature of the interplay between structural and geographical features of knowledge networks. Developing a database of R&D collaborative projects of the 5th and 6th European Framework Programs, we propose a methodology based on social network analysis. Its originality consists in starting from a bimodal network, in order to deduce two affiliation matrixes that allow us to study both the properties of the organization network and the properties of the project network. The results are discussed in the light of the mutual influence of the cognitive, structural and geographical dimensions on knowledge production and diffusion, and in the light of the knowledge drivers that give rise to the coexistence of a relational core-periphery structure with a geographical cluster and pipeline structure.

Suggested Citation

  • Pierre-Alexandre Balland & Raphael Suire & Jerome Vicente, 2010. "How do Clusters/Pipelines and Core/Periphery Structures Work Together in Knowledge Processes?," Papers in Evolutionary Economic Geography (PEEG) 1008, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jun 2010.
    • Handle: RePEc:egu:wpaper:1008
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    File URL: http://econ.geo.uu.nl/peeg/peeg1008.pdf
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    Citations

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    Cited by:

    1. Tom Broekel & Ron Boschma, 2011. "The cognitive and geographical composition of ego-networks of firms – and how they impact on their innovation performance," Papers in Evolutionary Economic Geography (PEEG) 1118, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Aug 2011.
    2. Julien Cusin & Elodie Loubaresse, 2017. "Inter-cluster relations in a coopetition context: the case of Inno'vin," Post-Print hal-03239109, HAL.
    3. Pierre-Alexandre Balland, 2012. "Proximity and the Evolution of Collaboration Networks: Evidence from Research and Development Projects within the Global Navigation Satellite System (GNSS) Industry," Regional Studies, Taylor & Francis Journals, vol. 46(6), pages 741-756, September.
    4. Tom Broekel & Ron Boschma, 2012. "Knowledge networks in the Dutch aviation industry: the proximity paradox," Journal of Economic Geography, Oxford University Press, vol. 12(2), pages 409-433, March.

    More about this item

    Keywords

    Economic Geography; Knowledge networks; Social network analysis; EU Framework Programs; GNSS;
    All these keywords.

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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