IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

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

  • 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)

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.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://hdl.handle.net/10.1002/mde.1086
File Function: Link to full text; subscription required
Download Restriction: no

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

as
in new window

Handle: RePEc:wly:mgtdec:v:24:y:2003:i:2-3:p:133-145
Contact details of provider: Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/7976

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Jaffe, Adam B, 1989. "Real Effects of Academic Research," American Economic Review, American Economic Association, vol. 79(5), pages 957-70, December.
  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. 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.
  4. 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.
  5. Cassiman, Bruno & Veugelers, Reinhilde, 2001. "R&D cooperation and spillovers: Some empirical evidence," IESE Research Papers D/430, IESE Business School.
  6. Bronwyn H. Hall & Albert N. Link & John T. Scott, 2003. "Universities as Research Partners," The Review of Economics and Statistics, MIT Press, vol. 85(2), pages 485-491, 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. 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.
  9. 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.
  10. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
  11. Mansfield, Edwin, 1980. "Basic Research and Productivity Increase in Manufacturing," American Economic Review, American Economic Association, vol. 70(5), pages 863-73, December.
  12. 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.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:wly:mgtdec:v:24:y:2003:i:2-3:p:133-145. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing)

or (Christopher F. Baum)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.