IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

R&D, Innovation and Growth: Evidence from Four Manufacturing Sectors in OECD Countries

  • Ulku, Hulya

This paper provides an empirical analysis of the relationship between R&D intensity, rate of innovation and the growth rate of output in four manufacturing sectors from 17 OECD countries. The findings suggest that the knowledge stock is the main determinant of innovation in all four manufacturing sectors and that R&D intensity increases innovation in the chemicals and the electrical and electronics sector. In addition, the rate of innovation has a positive effect on the growth rate of output in all sectors except for the drugs and medical sector. These results lend strong support for the non-scale endogenous growth models. *I am grateful to Adam Jaffe for his invaluable suggestions and comments.

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: no

Paper provided by University of Manchester, Institute for Development Policy and Management (IDPM) in its series Development Economics and Public Policy Working Papers with number 30542.

in new window

Date of creation: 2005
Date of revision:
Handle: RePEc:ags:idpmde:30542
Contact details of provider: Postal:
Harold Hankins Building, Precinct Centre, Booth Street West, Manchester, M13 9QH

Phone: +44-161-275-2800
Fax: +44-161-273-8829
Web page:

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. Marios Zachariadis, . "R&D-Induced Growth in the OECD?," Departmental Working Papers 2001-02, Department of Economics, Louisiana State University.
  2. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth Through Creative Destruction," Scholarly Articles 12490578, Harvard University Department of Economics.
  3. Dominique Guellec & Bruno van Pottelsberghe de la Potterie, 2001. "R&D and Productivity Growth: Panel Data Analysis of 16 OECD Countries," OECD Economic Studies, OECD Publishing, vol. 2001(2), pages 103-126.
  4. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-37, October.
  5. Hall, Bronwyn H & Jaffe, Adam B & Trajtenberg, Manuel, 2001. "The NBER Patent Citations Data File: Lessons, Insights and Methodological Tools," CEPR Discussion Papers 3094, C.E.P.R. Discussion Papers.
  6. Dinopoulos, Elias & Thompson, Peter, 2000. "Endogenous growth in a cross-section of countries," Journal of International Economics, Elsevier, vol. 51(2), pages 335-362, August.
  7. Rachel Griffith & Stephen Redding & John Van Reenen, 2000. "Mapping the Two Faces of R&D: Productivity Growth in a Panel of OECD Industries," CEP Discussion Papers dp0458, Centre for Economic Performance, LSE.
  8. Gang Gong & Alfred Greiner & Willi Semmler, 2004. "Endogenous Growth: Estimating the Romer Model for the US and Germany," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(2), pages 147-164, 05.
  9. Griliches, Zvi, 1990. "Patent Statistics as Economic Indicators: A Survey," Journal of Economic Literature, American Economic Association, vol. 28(4), pages 1661-1707, December.
  10. Marios Zachariadis, 2003. "R&D, innovation, and technological progress: a test of the Schumpeterian framework without scale effects," Canadian Journal of Economics, Canadian Economics Association, vol. 36(3), pages 566-586, August.
  11. Michael Binder & Cheng Hsiao & M. Hashem Pesaran, 2000. "Estimation and Inference In Short Panel Vector Autoregressions with Unit Roots And Cointegration," CESifo Working Paper Series 374, CESifo Group Munich.
  12. Richard Blundell & Steve Bond, 1995. "Initial conditions and moment restrictions in dynamic panel data models," IFS Working Papers W95/17, Institute for Fiscal Studies.
  13. Comanor, William S & Scherer, Frederic M, 1969. "Patent Statistics as a Measure of Technical Change," Journal of Political Economy, University of Chicago Press, vol. 77(3), pages 392-98, May/June.
  14. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
  15. Hansen, Henrik & Tarp, Finn, 2001. "Aid and growth regressions," Journal of Development Economics, Elsevier, vol. 64(2), pages 547-570, April.
  16. Charles I. Jones, 1995. "Time Series Tests of Endogenous Growth Models," The Quarterly Journal of Economics, Oxford University Press, vol. 110(2), pages 495-525.
  17. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
  18. repec:fth:harver:1473 is not listed on IDEAS
  19. D. Frantzen, 2003. "The Causality between R&D and Productivity in Manufacturing: An international disaggregate panel data study," International Review of Applied Economics, Taylor & Francis Journals, vol. 17(2), pages 125-146.
  20. Valentina Meliciani, 2000. "The relationship between R&D, investment and patents: a panel data analysis," Applied Economics, Taylor & Francis Journals, vol. 32(11), pages 1429-1437.
  21. Levine, Ross & Loayza, Norman & Beck, Thorsten, 2000. "Financial intermediation and growth: Causality and causes," Journal of Monetary Economics, Elsevier, vol. 46(1), pages 31-77, August.
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:ags:idpmde:30542. 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: (AgEcon Search)

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.