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

Empirical studies of innovation in the knowledge driven economy

  • Hall, Bronwyn

    ()

    (UNU-MERIT)

  • Mairesse, Jacques

    ()

    (UNU-MERIT)

This introduction to a special issue of EINT surveys a collection of ten papers that study various aspects of innovation and knowledge management and their impact on performance at the firm level for a number of countries. These studies have been conducted using data drawn from innovation surveys combined with data from a number of other sources. The issue illustrates the value of these surveys in improving our understanding of innovation in firms and raises a number of questions for future work in this area.

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://www.merit.unu.edu/publications/wppdf/2006/wp2006-028.pdf
Download Restriction: no

Paper provided by United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT) in its series MERIT Working Papers with number 028.

as
in new window

Length:
Date of creation: 2006
Date of revision:
Handle: RePEc:unm:unumer:2006028
Contact details of provider: Postal: P.O. Box 616, 6200 MD Maastricht
Phone: (31) (0)43 3883875
Fax: (31) (0)43 3216518
Web page: http://www.merit.unu.edu/

More information through EDIRC

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. Tor Jakob Klette & Zvi Griliches, 1992. "The Inconsistency of Common Scale Estimators When Output Prices Are Unobserved and Engogenous," NBER Working Papers 4026, National Bureau of Economic Research, Inc.
  2. Richard C. Levin & Alvin K. Klevorick & Richard R. Nelson & Sidney G. Winter, 1988. "Appropriating the Returns from Industrial R&D," Cowles Foundation Discussion Papers 862, Cowles Foundation for Research in Economics, Yale University.
  3. Robin Cowan & Paul A. David & Dominique Foray, 1999. "The Explicit Economics of Knowledge Codification and Tacitness," Working Papers 99027, Stanford University, Department of Economics.
  4. repec:fth:inseep:9833 is not listed on IDEAS
  5. Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," Harvard Institute of Economic Research Working Papers 1719, Harvard - Institute of Economic Research.
  6. Bruno Crepon & Emmanuel Duguet & Jacques Mairesse, 1998. "Research, Innovation And Productivity: An Econometric Analysis At The Firm Level," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 7(2), pages 115-158.
  7. Elisabeth Kremp & Jacques Mairesse, 2004. "Knowledge Management, Innovation, and Productivity: A Firm Level Exploration Based on French Manufacturing CIS3 Data," NBER Working Papers 10237, National Bureau of Economic Research, Inc.
  8. Jacques Mairesse & Jordi Jaumandreu, 2005. "Panel-data Estimates of the Production Function and the Revenue Function: What Difference Does It Make?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 107(4), pages 651-672, December.
  9. Wesley M Cohen & Richard R Nelson & John P Walsh, 2003. "Protecting Their Intellectual Assets: Appropriability Conditions and Why U.S. Manufacturing Firms Patent (Or Not)," Levine's Working Paper Archive 618897000000000624, David K. Levine.
  10. Richard C. Levin & Alvin K. Klevorick & Richard R. Nelson & Sidney G. Winter, 1987. "Appropriating the Returns from Industrial Research and Development," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 18(3), pages 783-832.
  11. Bronwyn H. Hall & Zvi Griliches & Jerry A. Hausman, 1984. "Patents and R&D: Is There A Lag?," NBER Working Papers 1454, National Bureau of Economic Research, Inc.
  12. Crepon, B. & Duguet, E. & Mairesse, J., 1998. "Research Investment, Innovation and Productivity: An Econometric Analysis at the Firm Level," Papiers d'Economie Mathématique et Applications 98.15, Université Panthéon-Sorbonne (Paris 1).
  13. Guido Fioretti, 2005. "The Production Function," Papers physics/0511191, arXiv.org.
  14. Cohen, Wesley M & Levinthal, Daniel A, 1989. "Innovation and Learning: The Two Faces of R&D," Economic Journal, Royal Economic Society, vol. 99(397), pages 569-96, September.
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:unm:unumer:2006028. 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: (Ad Notten)

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.