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University technology transfer: how (in)efficient are French universities?

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  • Claudia Curi
  • Cinzia Daraio
  • Patrick Llerena

Abstract

This paper presents the first assessment of the efficiency of the technology transfer operated by the French university system and its main determinants. The analysis is based on a detailed and original database of 51 technology transfer offices (TTOs) categorised by the type of university to which they belong, for the period 2003--07. Overall, we find a low level of efficiency and both intra- and intercategory efficiency variation. Analysis of the determinants shows that the efficiency of French TTOs depends primarily on the nature of the category (with universities specialised in science and engineering being most efficient), and on institutional and environmental characteristics. Both the age of the TTO and the size of the university have a positive effect. In terms of environmental variables, the intensity of R&D activity (both private and public) has a positive impact; however, in terms of growth rate, private R&D activity seems to be the main driver. Lastly, we find that the presence of a university-related hospital is detrimental to efficiency. An extended discussion of the results within the existing literature is also offered. Copyright The Author 2012. Published by Oxford University Press on behalf of the Cambridge Political Economy Society. All rights reserved., Oxford University Press.

Suggested Citation

  • Claudia Curi & Cinzia Daraio & Patrick Llerena, 2012. "University technology transfer: how (in)efficient are French universities?," Cambridge Journal of Economics, Oxford University Press, vol. 36(3), pages 629-654.
  • Handle: RePEc:oup:cambje:v:36:y:2012:i:3:p:629-654
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    Cited by:

    1. Malwina Mejer, 2012. "Academic Patenting in Belgium:Methodology and Evidence," iCite Working Papers 2013-003, ULB -- Universite Libre de Bruxelles.
    2. Barra, Cristian & Lagravinese, Raffaele & Zotti, Roberto, 2015. "Explaining (in)efficiency in higher education: a comparison of parametric and non-parametric analyses to rank universities," MPRA Paper 67119, University Library of Munich, Germany.
    3. Rossi, Federica & Fassio,Claudio & Geuna, Aldo, 2014. "The Role of Institutional Characteristics in Knowledge Transfer: A Comparative Analysis of Two Italian Universities," 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 201410, University of Turin.
    4. Raphaële Préget & Phu Nguyen-Van & Marc Willinger, 2016. "Who are the voluntary leaders? Experimental evidence from a sequential contribution game," Theory and Decision, Springer, vol. 81(4), pages 581-599, November.
    5. Julien Pénin, 2012. "Motivation crowding-out: Is there a risk for science?," Working Papers of BETA 2012-13, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    6. Cardi, Olivier & Restout, Romain, 2015. "Fiscal Shocks In A Two-Sector Open Economy With Endogenous Markups," Macroeconomic Dynamics, Cambridge University Press, vol. 19(08), pages 1839-1865, December.
    7. repec:eee:soceps:v:62:y:2018:i:c:p:104-120 is not listed on IDEAS
    8. Claudia Curi & Cinzia Daraio & Patrick Llerena, 2015. "The productivity of French technology transfer offices after government reforms," Applied Economics, Taylor & Francis Journals, vol. 47(28), pages 3008-3019, June.
    9. Cohendet Patrick & Llerena Patrick & Simon Laurent, 2014. "The Routinization of Creativity: Lessons from the Case of a Video-game Creative Powerhouse," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 234(2-3), pages 120-141, April.
    10. repec:eee:respol:v:46:y:2017:i:5:p:881-897 is not listed on IDEAS
    11. Ragip Ege & Herrade Igersheim & Charlotte Le Chapelain, 2016. "Transcendental vs. comparative approaches to justice: a reappraisal of Sen's dichotomy," The European Journal of the History of Economic Thought, Taylor & Francis Journals, vol. 23(4), pages 521-543, August.
    12. Meixing Dai, 2016. "Static And Dynamic Effects Of Central Bank Transparency," Bulletin of Economic Research, Wiley Blackwell, vol. 68(1), pages 55-78, January.
    13. Federica Rossi, 2014. "The efficiency of universities’ knowledge transfer activities: A multi-output approach beyond patenting and licensing," Working Papers 16, Birkbeck Centre for Innovation Management Research, revised Feb 2014.
    14. Claudia Curi & Cinzia Daraio & Patrick Llerena, 2013. "What is the productivity change of a university TTOs system at its early stage of development? Evidence from France," DIAG Technical Reports 2013-03, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    15. Amélie Barbier-Gauchard & Francesco De Palma & Giuseppe Diana, 2012. "Currency devaluation with dual labor market : Which perspectives for the Euro Zone ?," Working Papers of BETA 2012-04, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    16. G. Derrick, 2015. "Integration versus separation: structure and strategies of the technology transfer office (TTO) in medical research organizations," The Journal of Technology Transfer, Springer, vol. 40(1), pages 105-122, February.
    17. repec:spr:anresc:v:59:y:2017:i:2:d:10.1007_s00168-017-0843-4 is not listed on IDEAS

    More about this item

    JEL classification:

    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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