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Natural concentration in industrial research collaboration

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  • Bastian Westbrock
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    Abstract

    Empirical work shows that networks of research and development alliances are asymmetric, with a small number of firms involved in the majority of partnerships. This article investigates the welfare-relevant effects of such concentrated networks in a model of network formation in an oligopolistic market. We find that concentration is a typical characteristic of a socially efficient network when the costs of collaborative activity are significant. Moreover, expanding on prior work relating to strategically stable interfirm networks, we compare the stable and the efficient structures. Our findings suggest that real-world networks might even exhibit too little concentration. Copyright (c) 2010, RAND.

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    Bibliographic Info

    Article provided by RAND Corporation in its journal The RAND Journal of Economics.

    Volume (Year): 41 (2010)
    Issue (Month): 2 ()
    Pages: 351-371

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    Handle: RePEc:bla:randje:v:41:y:2010:i:2:p:351-371

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    Cited by:
    1. Michael Koenig & Jan Lorenz & Fabrizio Zilibotti, 2012. "Innovation vs. Imitation and the Evolution of Productivity Distributions," Discussion Papers 11-008, Stanford Institute for Economic Policy Research.
    2. König, Michael D. & Battiston, Stefano & Napoletano, Mauro & Schweitzer, Frank, 2012. "The efficiency and stability of R&D networks," Games and Economic Behavior, Elsevier, vol. 75(2), pages 694-713.
    3. Sudipta Sarangi & Pascal Billand & Christophe Bravard & Jacques Durieu, . "Efficient networks for a class of games with global spillovers," Departmental Working Papers 2013-06, Department of Economics, Louisiana State University.
    4. Michael D. Koenig & Xiaodong Liu & Yves Zenou, 2014. "R&D Networks: Theory, Empirics and Policy Implications," Discussion Papers 13-027, Stanford Institute for Economic Policy Research.
    5. Herbert Dawid & Tim Hellmann, 2012. "The Evolution of R&D Networks," Working Papers 467, Bielefeld University, Center for Mathematical Economics.
    6. Kesavayuth, Dusanee & Zikos, Vasileios, 2012. "Upstream and downstream horizontal R&D networks," Economic Modelling, Elsevier, vol. 29(3), pages 742-750.
    7. Mauro Napoletano & Mario V Tomasello & Antonios Garas & Frank Schweitzer, 2013. "The Rise and Fall of R&D Networks," Sciences Po publications 2013-15, Sciences Po.
    8. Pascal Billand & Christophe Bravard & Subhadip Chakrabarti & Sudipta Sarangi, 2013. "Abram Bergson," Working Papers 1339, Groupe d'Analyse et de Théorie Economique (GATE), Centre national de la recherche scientifique (CNRS), Université Lyon 2, Ecole Normale Supérieure.
    9. Stuart McDonald & Mohamad Alghamdi & Bernard Pailthorpe, 2012. "The Emergence of a Small World in a Network of Research Joint Ventures," Discussion Papers Series 469, School of Economics, University of Queensland, Australia.
    10. repec:spo:wpecon:info:hdl:2441/f6h8764enu2lskk9p5487a6cm is not listed on IDEAS
    11. Mauro Caminati, 2012. "Self sustaining R&D networks," Department of Economics University of Siena 653, Department of Economics, University of Siena.
    12. Michael Koenig, 2012. "The Formation of Networks with Local Spillovers and Limited Observability," Discussion Papers 11-004, Stanford Institute for Economic Policy Research.
    13. Billand, P. & Bravard, C. & Chakrabarti, S. & Sarangi, S., 2013. "A note on networks collaboration in multi-market oligopolies," Working Papers 2013-05, Grenoble Applied Economics Laboratory (GAEL).
    14. Pascal Billand & Christophe Bravard & Subhadip Chakrabarti & Sudipta Sarangi, 2014. "A Note on Networks of Collaboration in Multi-market Oligopolies," Working Papers halshs-00924990, HAL.

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