IDEAS home Printed from https://ideas.repec.org/p/hal/journl/halshs-02056322.html
   My bibliography  Save this paper

Firm heterogeneity and the pattern of R&D collaborations

Author

Listed:
  • Pascal Billand

    (GATE Lyon Saint-Étienne - Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne - ENS de Lyon - École normale supérieure de Lyon - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - UJM - Université Jean Monnet - Saint-Étienne - CNRS - Centre National de la Recherche Scientifique)

  • Christophe Bravard

    (GAEL - Laboratoire d'Economie Appliquée de Grenoble - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - INRA - Institut National de la Recherche Agronomique - CNRS - Centre National de la Recherche Scientifique - UGA [2016-2019] - Université Grenoble Alpes [2016-2019], UGA UFR FEG - Université Grenoble Alpes - Faculté d'Économie de Grenoble - UGA [2016-2019] - Université Grenoble Alpes [2016-2019])

  • Jacques Durieu

    (CREG - Centre de recherche en économie de Grenoble - UGA [2016-2019] - Université Grenoble Alpes [2016-2019], UGA UFR FEG - Université Grenoble Alpes - Faculté d'Économie de Grenoble - UGA [2016-2019] - Université Grenoble Alpes [2016-2019])

  • Sudipta Sarangi

    (Virginia Tech [Blacksburg], DIW Berlin - Deutsches Institut für Wirtschaftsforschung)

Abstract

We consider an oligopoly setting in which firms form pairwise collaborative links in R&D with other firms. Each collaboration generates a value that depends on the identity of the firms that collaborate. First, we provide properties satisfied by pairwise equilibrium networks and efficient networks. Second, we use these properties in two types of situation (1) there are two groups of firms, and the value of a collaboration is higher when firms belong to the same group; (2) some firms have more innovative capabilities than others. These two situations provide clear insights about how firms heterogeneity affects both equilibrium and efficient networks. We also show that the most valuable collaborative links do not always appear in equilibrium, and a public policy that increases the value of the most valuable links may lead to a loss of social welfare.

Suggested Citation

  • Pascal Billand & Christophe Bravard & Jacques Durieu & Sudipta Sarangi, 2019. "Firm heterogeneity and the pattern of R&D collaborations," Post-Print halshs-02056322, HAL.
  • Handle: RePEc:hal:journl:halshs-02056322
    DOI: 10.1111/ecin.12789
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Pascal Billand & Christophe Bravard & Sudipta Sarangi, 2011. "Strict Nash networks and partner heterogeneity," International Journal of Game Theory, Springer;Game Theory Society, vol. 40(3), pages 515-525, August.
    2. Pascal Billand & Christophe Bravard & Sudipta Sarangi, 2013. "Modeling resource flow asymmetries using condensation networks," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 41(3), pages 537-549, September.
    3. Goyal, Sanjeev & Joshi, Sumit, 2003. "Networks of collaboration in oligopoly," Games and Economic Behavior, Elsevier, vol. 43(1), pages 57-85, April.
    4. , D. & Tessone, Claudio J. & ,, 2014. "Nestedness in networks: A theoretical model and some applications," Theoretical Economics, Econometric Society, vol. 9(3), September.
    5. Hagedoorn, John, 2002. "Inter-firm R&D partnerships: an overview of major trends and patterns since 1960," Research Policy, Elsevier, vol. 31(4), pages 477-492, May.
    6. Philipp Marek & Mirko Titze & Clemens Fuhrmeister & Ulrich Blum, 2017. "R&D collaborations and the role of proximity," Regional Studies, Taylor & Francis Journals, vol. 51(12), pages 1761-1773, December.
    7. Pascal Billand & Christophe Bravard & Sudipta Sarangi, 2011. "Resources Flows Asymmetries in Strict Nash Networks with Partner Heterogeneity," Working Papers 1108, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    8. Galeotti, Andrea & Goyal, Sanjeev & Kamphorst, Jurjen, 2006. "Network formation with heterogeneous players," Games and Economic Behavior, Elsevier, vol. 54(2), pages 353-372, February.
    9. Mowery, David C. & Oxley, Joanne E. & Silverman, Brian S., 1998. "Technological overlap and interfirm cooperation: implications for the resource-based view of the firm," Research Policy, Elsevier, vol. 27(5), pages 507-523, September.
    10. Nicholas Vonortas & Lorenzo Zirulia, 2015. "Strategic technology alliances and networks," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 24(5), pages 490-509, July.
    11. Nicholas S. Vonortas & Koichiro Okamura, 2013. "Network structure and robustness: lessons for research programme design," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 22(4), pages 392-411, June.
    12. Billand, Pascal & Bravard, Christophe & Durieu, Jacques & Sarangi, Sudipta, 2015. "Efficient networks for a class of games with global spillovers," Journal of Mathematical Economics, Elsevier, vol. 61(C), pages 203-210.
    13. Gomes-Casseres, Benjamin & Hagedoorn, John & Jaffe, Adam B., 2006. "Do alliances promote knowledge flows?," Journal of Financial Economics, Elsevier, vol. 80(1), pages 5-33, April.
    14. 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.
    15. Bastian Westbrock, 2010. "Natural concentration in industrial research collaboration," RAND Journal of Economics, RAND Corporation, vol. 41(2), pages 351-371, June.
    16. Richard Blundell & Rachel Griffith & John van Reenen, 1999. "Market Share, Market Value and Innovation in a Panel of British Manufacturing Firms," Review of Economic Studies, Oxford University Press, vol. 66(3), pages 529-554.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Artem Sedakov, 2020. "Characteristic Function and Time Consistency for Two-Stage Games with Network Externalities," Mathematics, MDPI, vol. 8(1), pages 1-9, January.
    2. Battaggion, Maria Rosa & Cerasi, Vittoria, 2020. "Strategic interlocking directorates," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 85-101.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Michael D. König & Xiaodong Liu & Yves Zenou, 2019. "R&D Networks: Theory, Empirics, and Policy Implications," The Review of Economics and Statistics, MIT Press, vol. 101(3), pages 476-491, July.
    2. repec:hal:wpspec:info:hdl:2441/f6h8764enu2lskk9p5487a6cm is not listed on IDEAS
    3. Lorenzo Zirulia, 2023. "Path dependence in evolving R&D networks," Journal of Evolutionary Economics, Springer, vol. 33(1), pages 149-177, January.
    4. Belhaj, Mohamed & Bervoets, Sebastian & Deroïan, Frédéric, 2016. "Efficient networks in games with local complementarities," Theoretical Economics, Econometric Society, vol. 11(1), January.
    5. Billand, Pascal & Bravard, Christophe & Durieu, Jacques & Sarangi, Sudipta, 2015. "Efficient networks for a class of games with global spillovers," Journal of Mathematical Economics, Elsevier, vol. 61(C), pages 203-210.
    6. Mario V. Tomasello & Mauro Napoletano & Antonios Garas & Frank Schweitzer, 2017. "The rise and fall of R&D networks," Industrial and Corporate Change, Oxford University Press, vol. 26(4), pages 617-646.
    7. repec:spo:wpecon:info:hdl:2441/f6h8764enu2lskk9p5487a6cm is not listed on IDEAS
    8. Mario V. Tomasello & Claudio J. Tessone & Frank Schweitzer, 2016. "A Model Of Dynamic Rewiring And Knowledge Exchange In R&D Networks," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 19(01n02), pages 1-23, February.
    9. Norma Olaizola & Federico Valenciano, 2020. "Dominance of weighted nested split graph networks in connections models," International Journal of Game Theory, Springer;Game Theory Society, vol. 49(1), pages 75-96, March.
    10. Michael D. König & Xiaodong Liu & Yves Zenou, 2014. "R&D networks: theory, empirics and policy implications," ECON - Working Papers 142, Department of Economics - University of Zurich.
    11. repec:hal:spmain:info:hdl:2441/f6h8764enu2lskk9p5487a6cm is not listed on IDEAS
    12. Lorenzo Zirulia, 2012. "The role of spillovers in R&D network formation," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 21(1), pages 83-105, November.
    13. Qiang Gong & Huanxing Yang, 2020. "Collaborative Networks in Oligopoly with Asymmetric Firms," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 56(2), pages 357-380, March.
    14. Hiller, Timo, 2022. "A simple model of network formation with competition effects," Journal of Mathematical Economics, Elsevier, vol. 99(C).
    15. Grandjean, G. & Tellone, D. & Vergote, W., 2017. "Endogenous network formation in a Tullock contest," Mathematical Social Sciences, Elsevier, vol. 85(C), pages 1-10.
    16. Dawid, Herbert & Hellmann, Tim, 2014. "The evolution of R&D networks," Journal of Economic Behavior & Organization, Elsevier, vol. 105(C), pages 158-172.
    17. Jackson, Matthew O. & Zenou, Yves, 2015. "Games on Networks," Handbook of Game Theory with Economic Applications,, Elsevier.
    18. 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.
    19. Olaizola Ortega, María Norma & Valenciano Llovera, Federico, 2017. "Efficiency of weighted networks," IKERLANAK info:eu-repo/grantAgreeme, Universidad del País Vasco - Departamento de Fundamentos del Análisis Económico I.
    20. Dawid, Herbert & Hellmann, Tim, 2020. "R&D investments under endogenous cluster formation," Journal of Economic Behavior & Organization, Elsevier, vol. 174(C), pages 253-283.
    21. Dawid, Herbert & Hellmann, Tim, 2016. "R&D Investments under Endogenous Cluster Formation," Center for Mathematical Economics Working Papers 555, Center for Mathematical Economics, Bielefeld University.
    22. Péter Bayer & Ani Guerdjikova, 2020. "Optimism leads to optimality: Ambiguity in network formation," Working Papers hal-03005107, HAL.
    23. Kesavayuth, Dusanee & Zikos, Vasileios, 2012. "Upstream and downstream horizontal R&D networks," Economic Modelling, Elsevier, vol. 29(3), pages 742-750.

    More about this item

    Keywords

    R&D collaborations; networks; link value heterogeneity;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:halshs-02056322. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.