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Coordination modes in public funding systems


  • Lepori, Benedetto


The aim of this paper is to look at public research funding systems from the perspective of their broader institutional arrangements, in order to observe how these shape the relationships between funding agencies and research actors. Accordingly, public funding is considered as a multilevel and multiactor system, where stable patterns are largely generated by the collective interaction among actors (beyond formal rules and structures) and where coordination between actors (especially funding agencies and performers) represents a key for the functionality of the systems. This drives to characterise the main organisational forms of public research funding in terms of their underlying coordination mode and to use this framework to evaluate them against a number of criteria. Further, the way how these organisational forms can be combined to yield national-level configurations is discussed, and some of their properties and conditions of functioning are derived from the previous discussion; this also leads to identification of three main configurations of funding systems - the project-based model, the mixed model, the vertically integrated model - which describe the variety of national systems and, to a large extent, underpin current discussion on European research policy.

Suggested Citation

  • Lepori, Benedetto, 2011. "Coordination modes in public funding systems," Research Policy, Elsevier, vol. 40(3), pages 355-367, April.
  • Handle: RePEc:eee:respol:v:40:y:2011:i:3:p:355-367

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    2. Ana Fernández-Zubieta & Inés Andújar-Nagore & Sandro Giachi & Manuel Fernández-Esquinas, 2016. "New Organizational Arrangements for Public-Private Research Collaboration," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 7(1), pages 80-103, March.
    3. Lauto, Giancarlo & Valentin, Finn, 2016. "The knowledge production model of the New Sciences: The case of Translational Medicine," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 12-21.
    4. repec:spr:scient:v:94:y:2013:i:3:d:10.1007_s11192-012-0789-3 is not listed on IDEAS
    5. D. Thorleuchter & D. Van Den Poel, 2012. "Technology Classification with Latent Semantic Indexing," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 12/814, Ghent University, Faculty of Economics and Business Administration.
    6. Klenk, Nicole L. & Hickey, Gordon M., 2013. "How can formal research networks produce more socially robust forest science?," Forest Policy and Economics, Elsevier, vol. 37(C), pages 44-56.
    7. Lepori, Benedetto & Barberio, Vitaliano & Seeber, Marco & Aguillo, Isidro, 2013. "Core–periphery structures in national higher education systems. A cross-country analysis using interlinking data," Journal of Informetrics, Elsevier, vol. 7(3), pages 622-634.
    8. Benedetto Lepori & Ivan Ureta & Siegfried Alberton, 2016. "RIO Country Report 2015 Switzerland," JRC Working Papers JRC101238, Joint Research Centre (Seville site).
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