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Knowledge spillovers and productivity in Italian manufacturing firms

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  • Aldieri, Luigi

Abstract

In this paper we analyze the relationship between R&D spillovers and productivity. To this aim, we use data from 9th and 10th “Indagine sulle imprese manifatturiere” (IMM) surveys carried out by Capitalia. These two surveys, which cover the period 2001-2006, contain both quantitative and qualitative information on a large sample of Italian firms. The main contribution of this paper is to stress the importance of replacing the traditional high-tech/low-tech industries with a classification more suitable to capture the nature of new technologies. Indeed, the industry data are summarised in a particular taxonomy, according to Pavitt methodology: Supplier dominated, Scale intensive, Specialized suppliers and Science based. This taxonomy accounts for differences in the knowledge intensity and innovative activities within sectors. The estimation method takes into account the endogeneity of regressors and simultaneity issue regarding firms’ decision to invest in R&D. The results provide evidence of higher productivity in R&D intensive industries and this can be interpreted as the signal of the relevance of spillover effects.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 35018.

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Date of creation: 25 Nov 2011
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Handle: RePEc:pra:mprapa:35018

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Keywords: Industry taxonomies; R&D; Productivity; Spillovers;

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References

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  1. Pavitt, Keith, 1984. "Sectoral patterns of technical change: Towards a taxonomy and a theory," Research Policy, Elsevier, Elsevier, vol. 13(6), pages 343-373, December.
  2. Richard R. Nelson, 1959. "The Simple Economics of Basic Scientific Research," Journal of Political Economy, University of Chicago Press, University of Chicago Press, vol. 67, pages 297.
  3. Richard Blundell & Steve Bond, 1999. "GMM estimation with persistent panel data: an application to production functions," IFS Working Papers, Institute for Fiscal Studies W99/04, Institute for Fiscal Studies.
  4. Griffith, Rachel & Harrison, Rupert & Van Reenen, John, 2004. "How Special is the Special Relationship? Using the Impact of US R&D Spillovers on UK Firms as a Test of Technology Sourcing," CEPR Discussion Papers, C.E.P.R. Discussion Papers 4698, C.E.P.R. Discussion Papers.
  5. Luigi Aldieri & Michele Cincera, 2009. "Geographic and technological R&D spillovers within the triad: micro evidence from US patents," The Journal of Technology Transfer, Springer, Springer, vol. 34(2), pages 196-211, April.
  6. 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.
  7. Raut, Lakshmi K., 1995. "R & D spillover and productivity growth: Evidence from Indian private firms," Journal of Development Economics, Elsevier, Elsevier, vol. 48(1), pages 1-23, October.
  8. Kafouros, Mario I. & Buckley, Peter J., 2008. "Under what conditions do firms benefit from the research efforts of other organizations?," Research Policy, Elsevier, Elsevier, vol. 37(2), pages 225-239, March.
  9. Jeffrey I. Bernstein, 1988. "Costs of Production, Intra- and Interindustry R&D Spillovers: Canadian Evidence," Canadian Journal of Economics, Canadian Economics Association, Canadian Economics Association, vol. 21(2), pages 324-47, May.
  10. Sergey Lychagin & Joris Pinkse & Margaret E. Slade & John Van Reenen, 2010. "Spillovers in Space: Does Geography Matter?," NBER Working Papers 16188, National Bureau of Economic Research, Inc.
  11. Luigi Aldieri, 2008. "Technological and geographical proximity effects on knowledge spillovers: evidence from us patent citations," DULBEA Working Papers, ULB -- Universite Libre de Bruxelles 08-18.RS, ULB -- Universite Libre de Bruxelles.
  12. Bronwyn H. Hall & Jacques Mairesse, 1992. "Exploring the Relationship Between R&D and Productivity in French Manufacturing Firms," NBER Working Papers 3956, National Bureau of Economic Research, Inc.
  13. M Arellano & O Bover, 1990. "Another Look at the Instrumental Variable Estimation of Error-Components Models," CEP Discussion Papers, Centre for Economic Performance, LSE dp0007, Centre for Economic Performance, LSE.
  14. Giovanni Peri, 2005. "Determinants of Knowledge Flows and Their Effect on Innovation," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 308-322, May.
  15. Michael J. Orlando, 2004. "Measuring Spillovers from Industrial R&D: On the Importance of Geographic and Technological Proximity," RAND Journal of Economics, The RAND Corporation, vol. 35(4), pages 777-786, Winter.
  16. Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," NBER Working Papers 5067, National Bureau of Economic Research, Inc.
  17. Luigi Aldieri, 2005. "Absorptive Capacity And Knowledge Spillovers For Large International Firms: A Survey," Working Papers, D.E.S. (Department of Economic Studies), University of Naples "Parthenope", Italy 6_2005, D.E.S. (Department of Economic Studies), University of Naples "Parthenope", Italy.
  18. O'Mahony, Mary & Vecchi, Michela, 2009. "R&D, knowledge spillovers and company productivity performance," Research Policy, Elsevier, Elsevier, vol. 38(1), pages 35-44, February.
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