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A relational approach to knowledge spillovers in biotech. Network structures as drivers of inter-organizational citation patterns

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  • Ron Boschma
  • Pierre-Alexandre Balland
  • Dieter Kogler

Abstract

In this paper, we analyze the geography of knowledge spillovers in biotech by investigating the way in which knowledge ties are organized. Following a relational account on knowledge spillovers, we depict knowledge networks as complex evolving structures that build on pre-existing knowledge and previously formed ties. In economic geography, there is still little understanding of how structural network forces (like preferential attachment and closure) shape the structure and formation of knowledge spillover networks in space. Our study investigates the knowledge spillover networks of biotech firms by means of inter-organizational citation patterns based on USPTO biotech patents in the years 2008-2010. Using a Stochastic Actor-Oriented Model (SAOM), we explain the driving forces behind the decision of actors to cite patents produced by other actors. Doing so, we address directly the endogenous forces of knowledge dynamics.

Suggested Citation

  • Ron Boschma & Pierre-Alexandre Balland & Dieter Kogler, 2011. "A relational approach to knowledge spillovers in biotech. Network structures as drivers of inter-organizational citation patterns," Papers in Evolutionary Economic Geography (PEEG) 1120, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Dec 2011.
  • Handle: RePEc:egu:wpaper:1120
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    File URL: http://econ.geo.uu.nl/peeg/peeg1120.pdf
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    Cited by:

    1. Tom Broekel & Pierre-Alexandre Balland & Martijn Burger & Frank van Oort, 2013. "Modeling Knowledge Networks in Economic Geography: A Discussion of Four Empirical Strategies," Papers in Evolutionary Economic Geography (PEEG) 1325, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Dec 2013.
    2. Tom Broekel & Pierre-Alexandre Balland & Martijn Burger & Frank Oort, 2014. "Modeling knowledge networks in economic geography: a discussion of four methods," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(2), pages 423-452, September.
    3. Christoph Roesler & Tom Broekel, 2017. "The role of universities in a network of subsidized R&D collaboration: The case of the biotechnology-industry in Germany," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 37(2), pages 135-160, October.

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    More about this item

    Keywords

    knowledge spillovers; network structure; patent citations; biotech; proximity;
    All these keywords.

    JEL classification:

    • B15 - Schools of Economic Thought and Methodology - - History of Economic Thought through 1925 - - - Historical; Institutional; Evolutionary
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • 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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