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

Innovation and productivity in European industries

  • Mario Pianta

    ()

    (Corresponding author, Università di Urbino)

  • Andrea Vaona

    ()

    (Dipartimento di Scienze economiche (Università di Verona))

The labour productivity impact of innovation is investigated in this paper combining neo-Schumpeterian insights on the variety of innovation, with the importance of industrial structures and firm size; two models are proposed for explaining productivity and export success in European manufacturing industries and firm size classes. The empirical estimates are based on data from the European innovation survey (CIS 2), covering Austria, France, Italy, the Netherlands and the UK, broken down by 22 sectors and for large, medium and small firms. The econometric results, obtained adopting cross-sectional estimation methodologies able to account for unobserved industrial characteristics, show that productivity in Europe relies on product and process innovation, with the support of the efficiency gains provided by a grouped business structures. Conversely, in Italy the introduction of new machinery linked to innovation appears as the key mechanism supporting domestic productivity. When export success is considered, all countries have to rely on an innovation-based model of competitiveness.

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://dse.univr.it/RePEc/ver/Wpaper/WP34.pdf
File Function: First version
Download Restriction: no

Paper provided by University of Verona, Department of Economics in its series Working Papers with number 34.

as
in new window

Length: 38
Date of creation: Jun 2006
Date of revision:
Handle: RePEc:ver:wpaper:34
Contact details of provider: Postal: Vicolo Campofiore, 2 - I-37129 Verona
Phone: +390458028097
Fax: +390458028486
Web page: http://www.dse.univr.it
Email:


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. Acs, Zoltan J & Audretsch, David B, 1988. "Innovation in Large and Small Firms: An Empirical Analysis," American Economic Review, American Economic Association, vol. 78(4), pages 678-90, September.
  2. Baltagi, Badi H., 1985. "Pooling cross-sections with unequal time-series lengths," Economics Letters, Elsevier, vol. 18(2-3), pages 133-136.
  3. Francesco Bogliacino & Mario Pianta, 2011. "Innovation and demand in industry dynamics," Working Papers 1101, University of Urbino Carlo Bo, Department of Economics, Society & Politics - Scientific Committee - L. Stefanini & G. Travaglini, revised 2011.
  4. Robert J. Gordon, 1998. "Foundations of the Goldilocks Economy: Supply Shocks and the Time-Varying NAIRU," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 29(2), pages 297-346.
  5. Kenneth Carlaw & Stephen Kosempel, 2004. "The sources of total factor productivity growth: Evidence from Canadian data," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 13(4), pages 299-309.
  6. 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.
  7. Jeroen Hinloopen, 2003. "Innovation performance across Europe," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 12(2), pages 145-161.
  8. Nerlove, Marc, 1971. "Further Evidence on the Estimation of Dynamic Economic Relations from a Time Series of Cross Sections," Econometrica, Econometric Society, vol. 39(2), pages 359-82, March.
  9. Davis, Peter, 2002. "Estimating multi-way error components models with unbalanced data structures," Journal of Econometrics, Elsevier, vol. 106(1), pages 67-95, January.
  10. Dale W. Jorgenson & Kevin J. Stiroh, 2000. "Raising the Speed Limit: U.S. Economic Growth in the Information Age," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 31(1), pages 125-236.
  11. 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).
  12. Nerlove, Marc, 1971. "A Note on Error Components Models," Econometrica, Econometric Society, vol. 39(2), pages 383-96, March.
  13. Andrea Vaona & Mario Pianta, 2008. "Firm Size and Innovation in European Manufacturing," Small Business Economics, Springer, vol. 30(3), pages 283-299, March.
  14. Wansbeek, Tom & Kapteyn, Arie, 1989. "Estimation of the error-components model with incomplete panels," Journal of Econometrics, Elsevier, vol. 41(3), pages 341-361, July.
  15. George van Leeuwen, 2002. "Linking Innovation to Productivity Growth Using Two Waves of the Community Innovation Survey," OECD Science, Technology and Industry Working Papers 2002/8, OECD Publishing.
  16. Wakelin, Katharine, 2001. "Productivity growth and R&D expenditure in UK manufacturing firms," Research Policy, Elsevier, vol. 30(7), pages 1079-1090, August.
  17. Moulton, Brent R & Randolph, William C, 1989. "Alternative Tests of the Error Components Model," Econometrica, Econometric Society, vol. 57(3), pages 685-93, May.
  18. Wulong Gu & Jianmin Tang, 2004. "Link between innovation and productivity in Canadian manufacturing industries," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 13(7), pages 671-686.
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:ver:wpaper:34. 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: (Michael Reiter)

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.