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Innovation and Productivity in European Industries

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  • Mario Pianta
  • Andrea Vaona

Abstract

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 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.

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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Economics of Innovation and New Technology.

Volume (Year): 16 (2007)
Issue (Month): 7 ()
Pages: 485-499

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Handle: RePEc:taf:ecinnt:v:16:y:2007:i:7:p:485-499

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Related research

Keywords: Innovation; Productivity; Export performance; Industries;

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References

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  1. Andrea Vaona & Mario Pianta, 2008. "Firm Size and Innovation in European Manufacturing," Small Business Economics, Springer, vol. 30(3), pages 283-299, March.
  2. 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.
  3. Wakelin, Katharine, 2001. "Productivity growth and R&D expenditure in UK manufacturing firms," Research Policy, Elsevier, vol. 30(7), pages 1079-1090, August.
  4. 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.
  5. 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.
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  7. 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.
  8. Baltagi, Badi H., 1985. "Pooling cross-sections with unequal time-series lengths," Economics Letters, Elsevier, vol. 18(2-3), pages 133-136.
  9. 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.
  10. Moulton, Brent R & Randolph, William C, 1989. "Alternative Tests of the Error Components Model," Econometrica, Econometric Society, vol. 57(3), pages 685-93, May.
  11. 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.
  12. 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.
  13. Davis, Peter, 2002. "Estimating multi-way error components models with unbalanced data structures," Journal of Econometrics, Elsevier, vol. 106(1), pages 67-95, January.
  14. 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.
  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. 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).
  17. Nerlove, Marc, 1971. "A Note on Error Components Models," Econometrica, Econometric Society, vol. 39(2), pages 383-96, March.
  18. Jeroen Hinloopen, 2003. "Innovation performance across Europe," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 12(2), pages 145-161.
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Citations

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Cited by:
  1. Anna Sabadash, 2013. "ICT-induced Technological Progress and Employment: A Literature Review," JRC-IPTS Working Papers on Digital Economy 2013-07, Institute of Prospective Technological Studies, Joint Research Centre.
  2. Bronwyn Hall & Francesca Lotti & Jacques Mairesse, 2009. "Innovation and productivity in SMEs: empirical evidence for Italy," Small Business Economics, Springer, vol. 33(1), pages 13-33, June.
  3. Matteo Bugamelli & Luigi Cannari & Francesca Lotti & Silvia Magri, 2012. "The innovation gap of Italy’s production system: roots and possible solutions," Questioni di Economia e Finanza (Occasional Papers) 121, Bank of Italy, Economic Research and International Relations Area.
  4. Castellacci, Fulvio, 2008. "Innovation and the competitiveness of industries: comparing the mainstream and the evolutionary approaches," MPRA Paper 27523, University Library of Munich, Germany.
  5. Jaan Masso & Priit Vahter, 2008. "Technological innovation and productivity in late-transition Estonia: econometric evidence from innovation surveys," European Journal of Development Research, Taylor and Francis Journals, vol. 20(2), pages 240-261.
  6. Bruno Chiarini & Paolo Piselli, 2012. "Equilibrium earning premium and pension schemes: The long-run macroeconomic effects of the union," Discussion Papers 2_2012, D.E.S. (Department of Economic Studies), University of Naples "Parthenope", Italy.

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