IDEAS home Printed from https://ideas.repec.org/a/taf/ecinnt/v12y2003i1p93-116.html
   My bibliography  Save this article

The endogenous formation of scientific research coalitions

Author

Listed:
  • Paul David
  • Louise Keely

Abstract

The paper develops a formal model of coalition-building ("network" formation) among research units that seek competitive funding from a supra-regional program, while also drawing support from their respective regional funding agencies. This analysis is motivated by the absence of frameworks of analysis applicable to problems of design of public R&D funding arrangements in the European Union, and in other regional systems were independent programs of "federal and state" support for research co-exists. The model assumes a fixed finite population of research units and an associated distribution of reputed quality, or scientific reputation, which may be modified as a consequence of research results. Non-cooperative games of coalition formation developed by Bloch (1995), and Ray and Vohra (1999), provides a useful single-period framework for this part of the analysis. Collaborations are formed in the expectation of attracting incremental research funding, given the selection criteria of the agency that offers funding for "networks". Invitations to join proposals for networks are initiated and acted upon following a specific ordering procedure. This gives rise to a repeated non-cooperative game of coalition (or collaboration) formation, in which the distribution of payoffs within the collaboration is governed by a fixed rule. Following Keely (2002), this type of game is applied to a multi-period setting in which a distribution of coalitions is tracked, along with the levels of funding received. The latter are determined according to a rule comparing the distribution of reputations within proposed collaborations, and the effects upon the distribution of reputations in the entire population are analysed. Alternative possible external funding rules are evaluated with the help of a numerical example, to determine how their impacts upon collaboration formation, and the resulting evolution of the reputation distribution (as that will be affected by the allocation of funding).

Suggested Citation

  • Paul David & Louise Keely, 2003. "The endogenous formation of scientific research coalitions," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 12(1), pages 93-116.
    • Handle: RePEc:taf:ecinnt:v:12:y:2003:i:1:p:93-116
    DOI: 10.1080/10438590303121
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/10438590303121
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/10438590303121?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Cristiano, Antonelli & Ferraris, Gianluigi, 2009. "Innovation as an Emerging System Property: an Agent Based Model," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 200911, University of Turin.
    2. Antonelli, Cristiano, 2010. "From population thinking to organization thinking: Coalitions for innovation. A review article of Complexity perspectives in innovation and social change, by Lane, D.A., van Der Leeuw, S.E., Pumain, D," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201002, University of Turin.
    3. Cristiano Antonelli, 2011. "The Economic Complexity of Technological Change: Knowledge Interaction and Path Dependence," Chapters, in: Cristiano Antonelli (ed.), Handbook on the Economic Complexity of Technological Change, chapter 1, Edward Elgar Publishing.
    4. Defazio, Daniela & Lockett, Andy & Wright, Mike, 2009. "Funding incentives, collaborative dynamics and scientific productivity: Evidence from the EU framework program," Research Policy, Elsevier, vol. 38(2), pages 293-305, March.
    5. Jackie Krafft & Francesco Quatraro, 2011. "The dynamics of technological knowledge," Post-Print halshs-00727633, HAL.
    6. Jackie Krafft & Francesco Quatraro, 2011. "The Dynamics of Technological Knowledge: From Linearity to Recombination," Chapters, in: Cristiano Antonelli (ed.), Handbook on the Economic Complexity of Technological Change, chapter 7, Edward Elgar Publishing.
    7. Cristiano Antonelli & Gianluigi Ferraris, 2011. "Innovation as an Emerging System Property: An Agent Based Simulation Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 14(2), pages 1-1.

    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:taf:ecinnt:v:12:y:2003:i:1:p:93-116. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GEIN20 .

    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.