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

Spillovers in product and process innovation: Evidence from manufacturing firms

  • Ornaghi, Carmine

This paper proposes a new empirical approach to assess the impact of knowledge spillovers on firms' productivity and demand. I consider a model where process innovations spillovers to other firms raise firms relative efficiency and technological diffusion of product innovations enhances firms' demand. By modelling knowledge capital as a function of own investment in R\&D and spillovers, I can compare the impact of these two complementary sources of knowledge on both the supply and the demand side. The results obtained confirm the findings already highlighted by previous empirical studies that technological externalities affect significantly firms' productivity growth. The new result obtained is that technological diffusion of product innovations is larger than the one deriving from process innovations, both in magnitude and pervasiveness.

(This abstract was borrowed from another version of this item.)

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 International Journal of Industrial Organization.

Volume (Year): 24 (2006)
Issue (Month): 2 (March)
Pages: 349-380

in new window

Handle: RePEc:eee:indorg:v:24:y:2006:i:2:p:349-380
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. Michele Cincera & Bruno Van Pottelsberghe, 2001. "International R&D spillovers: a survey," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 169(169), pages 3-31.
  2. Griliches, Zvi, 1992. " The Search for R&D Spillovers," Scandinavian Journal of Economics, Wiley Blackwell, vol. 94(0), pages S29-47, Supplemen.
  3. 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.
  4. Bruno Cassiman & Reinhilde Veugelers, 1998. "R&D cooperation and spillovers: Some empirical evidence," Economics Working Papers 328, Department of Economics and Business, Universitat Pompeu Fabra.
  5. Jaffe, Adam B, 1986. "Technological Opportunity and Spillovers of R&D: Evidence from Firms' Patents, Profits, and Market Value," American Economic Review, American Economic Association, vol. 76(5), pages 984-1001, December.
  6. Manuel Trajtenberg & Adam B. Jaffe & Michael S. Fogarty, 2000. "Knowledge Spillovers and Patent Citations: Evidence from a Survey of Inventors," American Economic Review, American Economic Association, vol. 90(2), pages 215-218, May.
  7. Zvi Griliches & Jacques Mairesse, 1981. "Productivity and R and D at the Firm Level," NBER Working Papers 0826, National Bureau of Economic Research, Inc.
  8. Tor Jakob Klette & Zvi Griliches, 1994. "The Inconsistency of Common Scales Estimators when Output Prices are Unobserved and Endogenous," Discussion Papers 127, Statistics Norway, Research Department.
  9. Roberto Hern·n & Pedro L. MarÌn & Georges Siotis, 2003. "An empirical evaluation of the determinants of Research Joint Venture Formation," Journal of Industrial Economics, Wiley Blackwell, vol. 51(1), pages 75-89, 03.
  10. Carmine Ornaghi, 2006. "Assessing the effects of measurement errors on the estimation of production functions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 879-891.
  11. Richard Blundell & Steve Bond, 1999. "GMM estimation with persistent panel data: an application to production functions," IFS Working Papers W99/04, Institute for Fiscal Studies.
  12. Howitt, Peter & Griffith, Rachel & Aghion, Philippe & Blundell, Richard & Bloom, Nick, 2005. "Competition and Innovation: An Inverted-U Relationship," Scholarly Articles 4481507, Harvard University Department of Economics.
  13. Danny Quah, 2002. "Technology Dissemination and Economic Growth: Some Lessons for the New Economy," CEP Discussion Papers dp0522, Centre for Economic Performance, LSE.
  14. 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.
  15. Klette, T.J., 1998. "Market Power, Scale Economies and Productivity: Estimates from a Panel of Establishment Data," Memorandum 15/1998, Oslo University, Department of Economics.
  16. Carmine Ornaghi, 2002. "Assessing The Effectos Of Measurement Errors On The Estimation Of The Production Function," Economics Working Papers we023314, Universidad Carlos III, Departamento de Economía.
  17. R Blundell & Steven Bond, . "Initial conditions and moment restrictions in dynamic panel data model," Economics Papers W14&104., Economics Group, Nuffield College, University of Oxford.
  18. Hu, Albert G. Z. & Jaffe, Adam B., 2003. "Patent citations and international knowledge flow: the cases of Korea and Taiwan," International Journal of Industrial Organization, Elsevier, vol. 21(6), pages 849-880, June.
  19. Ariel Pakes & Mark Schankerman, 1984. "The Rate of Obsolescence of Patents, Research Gestation Lags, and the Private Rate of Return to Research Resources," NBER Chapters, in: R&D, Patents, and Productivity, pages 73-88 National Bureau of Economic Research, Inc.
  20. Bart Los & Bart Verspagen, 2000. "R&D spillovers and productivity: Evidence from U.S. manufacturing microdata," Empirical Economics, Springer, vol. 25(1), pages 127-148.
  21. Laura Bottazzi & Giovanni Peri, . "Innovation and Spillovers in Regions: Evidence from European Patent Data," Working Papers 215, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  22. Ariel Pakes & Mark Schankerman, 1979. "The Rate of Obsolescence Of Knowledge, Research Gestation Lags, and the Private Rate of Return to Research Resources," NBER Working Papers 0346, National Bureau of Economic Research, Inc.
  23. Arellano, Manuel & Bond, Stephen, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Wiley Blackwell, vol. 58(2), pages 277-97, April.
  24. Mansfield, Edwin, 1983. "Technological Change and Market Structure: An Empirical Study," American Economic Review, American Economic Association, vol. 73(2), pages 205-09, May.
  25. M. Ishaq Nadiri, 1993. "Innovations and Technological Spillovers," NBER Working Papers 4423, National Bureau of Economic Research, Inc.
  26. Arellano, Manuel, 2003. "Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780199245291.
  27. Z, Griliches & Jacques Mairesse, 1997. "Production Functions : The Search for Identification," Working Papers 97-30, Centre de Recherche en Economie et Statistique.
  28. Enrico Moretti, 2004. "Workers' Education, Spillovers, and Productivity: Evidence from Plant-Level Production Functions," American Economic Review, American Economic Association, vol. 94(3), pages 656-690, June.
  29. Tor Jakob Klette, 1996. "R&D, Scope Economies, and Plant Performance," RAND Journal of Economics, The RAND Corporation, vol. 27(3), pages 502-522, Autumn.
  30. Quah, Danny, 2002. "Technology Dissemination and Economic Growth: Some Lessons for the New Economy," CEPR Discussion Papers 3207, C.E.P.R. Discussion Papers.
  31. Garcia, Angel & Jaumandreu, Jordi & Rodriguez, Cesar, 2004. "Innovation and jobs: evidence from manufacturing firms," MPRA Paper 1204, University Library of Munich, Germany.
  32. Mansfield, Edwin, et al, 1977. "Social and Private Rates of Return from Industrial Innovations," The Quarterly Journal of Economics, MIT Press, vol. 91(2), pages 221-40, May.
  33. Bertschek, Irene, 1995. "Product and Process Innovation as a Response to Increasing Import and Foreign Direct Investment," Journal of Industrial Economics, Wiley Blackwell, vol. 43(4), pages 341-57, December.
  34. Charles R. Hulten, 2000. "Total Factor Productivity: A Short Biography," NBER Working Papers 7471, 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:indorg:v:24:y:2006:i:2:p:349-380. 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.