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What type of enterprise forges close links with universities and government labs? Evidence from CIS 2

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Author Info

  • Masao Nakamura

    (Faculty of Commerce, Institute of Asian Research and Faculty of Applied Science, University of British Columbia, 2053 Main Mall, Vancouver, BC, Canada, V6 T 1Z2)

  • Pierre Mohnen
  • Cathy Hoareau

    (Centre for Interuniversity Research and Analysis on Organizations (CIRANO), Montréal, Canada)

Abstract

This paper tries to uncover some of the economic factors that encourage firms to seek information from universities and government labs or to collaborate with these institutions. We exploit the information contained in the second Community Innovation Surveys (CIS2) for France, Germany, Ireland and Spain. We estimate an ordered probit model on the importance of knowledge sourcing from universities and government labs controlling for selection bias, and a trivariate probit model explaining the decisions to innovate, collaborate in innovation, and in particular collaborate with universities and government labs. R&D-intensive firms and radical innovators tend to source knowledge from universities and government labs but not to cooperate with them directly. Outright collaborations in innovation with universities and government labs is characteristic of large firms, firms that patent or those that receive government support for innovation. Members of an enterprise group tend to cooperate in innovation but not directly with universities or government labs. Copyright © 2003 John Wiley & Sons, Ltd.

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File URL: http://hdl.handle.net/10.1002/mde.1086
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Bibliographic Info

Article provided by John Wiley & Sons, Ltd. in its journal Managerial and Decision Economics.

Volume (Year): 24 (2003)
Issue (Month): 2-3 ()
Pages: 133-145

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Handle: RePEc:wly:mgtdec:v:24:y:2003:i:2-3:p:133-145

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Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/7976

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  1. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
  2. James D. Adams & Eric P. Chiang & Jeffrey L. Jensen, 2003. "The Influence of Federal Laboratory R&D on Industrial Research," Rensselaer Working Papers in Economics 0301, Rensselaer Polytechnic Institute, Department of Economics.
  3. Bronwyn H. Hall & Albert N. Link & John T. Scott, 2001. "Universities as Research Partners," Development and Comp Systems 0012001, EconWPA.
  4. Jaffe, Adam B, 1989. "Real Effects of Academic Research," American Economic Review, American Economic Association, vol. 79(5), pages 957-70, December.
  5. Audretsch, David B & Vivarelli, Marco, 1994. "Small Firms and R&D Spillovers: Evidence from Italy," CEPR Discussion Papers 927, C.E.P.R. Discussion Papers.
  6. Acs, Zoltan J & Audretsch, David B & Feldman, Maryann P, 1994. "R&D Spillovers and Recipient Firm Size," The Review of Economics and Statistics, MIT Press, vol. 76(2), pages 336-40, May.
  7. Duguet, E., 2000. "Knowledge Diffusion, Technological Innovation and TFP Growth at the Firm Level : Evidence from French Manufacturing," Papiers d'Economie Mathématique et Applications 2000.105, Université Panthéon-Sorbonne (Paris 1).
  8. Cassiman, Bruno & Veugelers, Reinhilde, 2002. "Complementarity in the Innovation Strategy: Internal R&D, External Technology Acquisition and Cooperation," CEPR Discussion Papers 3284, C.E.P.R. Discussion Papers.
  9. Mansfield, Edwin, 1980. "Basic Research and Productivity Increase in Manufacturing," American Economic Review, American Economic Association, vol. 70(5), pages 863-73, December.
  10. Acs, Zoltan J & Audretsch, David B & Feldman, Maryann P, 1992. "Real Effects of Academic Research: Comment," American Economic Review, American Economic Association, vol. 82(1), pages 363-67, March.
  11. Adams, James D, 1990. "Fundamental Stocks of Knowledge and Productivity Growth," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 673-702, August.
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