IDEAS home Printed from
MyIDEAS: Login to save this article or follow this journal

Productivity effects of basic research in low-tech and high-tech industries

  • Czarnitzki, Dirk
  • Thorwarth, Susanne

R&D encompasses plenty of activities which are usually summarized under the terms of basic research, applied research and development. Although basic research is often associated with low appropriability it provides the fundamental basis for subsequent applied research and development. Especially in the high-tech sector basic research capabilities are an essential component for a firm's success. We use firm-level panel data stemming from Belgian R&D surveys and apply a production function approach which shows that basic research exhibits a premium on a firm's output when compared to applied research and development. When we split the sample into high-tech and low-tech companies, we find a large premium of basic research for firms in high-tech industries, but no premium in low-tech sectors.

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:
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Elsevier in its journal Research Policy.

Volume (Year): 41 (2012)
Issue (Month): 9 ()
Pages: 1555-1564

in new window

Handle: RePEc:eee:respol:v:41:y:2012:i:9:p:1555-1564
Contact details of provider: Web page:

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. repec:oup:restud:v:58:y:1991:i:2:p:277-97 is not listed on IDEAS
  2. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
  3. Saul Lach & Mark Schankerman, 2006. "Incentives and Invention in Universities," CEP Discussion Papers dp0729, Centre for Economic Performance, LSE.
  4. Bruno Cassiman & David Pérez Castrillo & Reinhilde Veugelers, 2000. "Endogeneizing know-how flows through the nature of R&D investments," Economics Working Papers 512, Department of Economics and Business, Universitat Pompeu Fabra, revised Mar 2001.
  5. Lichtenberg, Frank R & Siegel, Donald, 1991. "The Impact of R&D Investment on Productivity--New Evidence Using Linked R&D-LRD Data," Economic Inquiry, Western Economic Association International, vol. 29(2), pages 203-29, April.
  6. Douglas Staiger & James H. Stock, 1994. "Instrumental Variables Regression with Weak Instruments," NBER Technical Working Papers 0151, National Bureau of Economic Research, Inc.
  7. Manuel Trajtenberg & Rebecca Henderson & Adam Jaffe, 1992. "Ivory Tower Versus Corporate Lab: An Empirical Study of Basic Research and Appropriability," NBER Working Papers 4146, National Bureau of Economic Research, Inc.
  8. Blundell, Richard & Griffith, Rachel & Van Reenen, John, 1995. "Dynamic Count Data Models of Technological Innovation," Economic Journal, Royal Economic Society, vol. 105(429), pages 333-44, March.
  9. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," Review of Economic Studies, Oxford University Press, vol. 70(2), pages 317-341.
  10. Czarnitzki, Dirk & Kraft, Kornelius & Thorwarth, Susanne, 2009. "The knowledge production of 'R' and 'D'," Economics Letters, Elsevier, vol. 105(1), pages 141-143, October.
  11. Pavitt, Keith, 1991. "What makes basic research economically useful?," Research Policy, Elsevier, vol. 20(2), pages 109-119, April.
  12. Steffen Mueller, 2008. "Capital stock approximation using firm level panel data," Working Papers 038, Bavarian Graduate Program in Economics (BGPE).
  13. Richard Blundell & Rachel Griffith & Frank Windmeijer, 1999. "Individual effects and dynamics in count data models," IFS Working Papers W99/03, Institute for Fiscal Studies.
  14. Lim, Kwanghui, 2004. "The relationship between research and innovation in the semiconductor and pharmaceutical industries (1981-1997)," Research Policy, Elsevier, vol. 33(2), pages 287-321, March.
  15. Rosenberg, Nathan, 1990. "Why do firms do basic research (with their own money)?," Research Policy, Elsevier, vol. 19(2), pages 165-174, April.
  16. Hall, Bronwyn H. & Mairesse, Jacques, 1995. "Exploring the relationship between R&D and productivity in French manufacturing firms," Journal of Econometrics, Elsevier, vol. 65(1), pages 263-293, January.
  17. Link, Albert N, 1981. "Basic Research and Productivity Increase in Manufacturing: Additional Evidence," American Economic Review, American Economic Association, vol. 71(5), pages 1111-12, December.
  18. Luc Sels & Sophie De Winne & Johan Maes & Jeroen Delmotte & Dries Faems & Anneleen Forrier, 2006. "Unravelling the HRM-Performance Link: Value-Creating and Cost-Increasing Effects of Small Business HRM," Journal of Management Studies, Wiley Blackwell, vol. 43(2), pages 319-342, 03.
  19. Hausman, Jerry A, 1978. "Specification Tests in Econometrics," Econometrica, Econometric Society, vol. 46(6), pages 1251-71, November.
  20. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-97, November.
  21. Johannes Van Biesebroeck, 2003. "Revisiting Some Productivity Debates," NBER Working Papers 10065, National Bureau of Economic Research, Inc.
  22. Kuen-Hung Tsai & Jiann-Chyuan Wang, 2004. "R&D Productivity and the Spillover Effects of High-tech Industry on the Traditional Manufacturing Sector: The Case of Taiwan," The World Economy, Wiley Blackwell, vol. 27(10), pages 1555-1570, November.
  23. Mansfield, Edwin, 1980. "Basic Research and Productivity Increase in Manufacturing," American Economic Review, American Economic Association, vol. 70(5), pages 863-73, December.
  24. Dirk Czarnitzki & Hanna Hottenrott & Susanne Thorwarth, 2011. "Industrial research versus development investment: the implications of financial constraints," Cambridge Journal of Economics, Oxford University Press, vol. 35(3), pages 527-544.
  25. Zvi Griliches, 1998. "Issues in Assessing the Contribution of Research and Development to Productivity Growth," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 17-45 National Bureau of Economic Research, Inc.
  26. Richard R. Nelson, 1959. "The Simple Economics of Basic Scientific Research," Journal of Political Economy, University of Chicago Press, vol. 67, pages 297.
  27. Kenneth Arrow, 1962. "Economic Welfare and the Allocation of Resources for Invention," NBER Chapters, in: The Rate and Direction of Inventive Activity: Economic and Social Factors, pages 609-626 National Bureau of Economic Research, Inc.
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:eee:respol:v:41:y:2012:i:9:p:1555-1564. 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: (Zhang, Lei)

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.