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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.

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Article provided by Elsevier in its journal International Journal of Industrial Organization.

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

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Handle: RePEc:eee:indorg:v:24:y:2006:i:2:p:349-380
Contact details of provider: Web page: http://www.elsevier.com/locate/inca/505551

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  1. Tor Jakob Klette & Zvi Griliches, 1992. "The Inconsistency of Common Scale Estimators When Output Prices Are Unobserved and Engogenous," NBER Working Papers 4026, National Bureau of Economic Research, Inc.
  2. Mansfield, Edwin, 1983. "Technological Change and Market Structure: An Empirical Study," American Economic Review, American Economic Association, vol. 73(2), pages 205-09, May.
  3. 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.
  4. 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.
  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. 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.
  7. 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.
  8. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
  9. Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," NBER Working Papers 5067, National Bureau of Economic Research, Inc.
  10. 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.
  11. Zvi Griliches, 1998. "The Search for R&D Spillovers," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 251-268 National Bureau of Economic Research, Inc.
  12. Cassiman, Bruno & Veugelers, Reinhilde, 1999. "R&D Cooperation and Spillovers: Some Empirical Evidence," CEPR Discussion Papers 2330, C.E.P.R. Discussion Papers.
  13. Bruno Crepon & Emmanuel Duguet & Jacques Mairesse, 1998. "Research, Innovation, and Productivity: An Econometric Analysis at the Firm Level," NBER Working Papers 6696, National Bureau of Economic Research, Inc.
  14. 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.
  15. 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.
  16. Charles R. Hulten, 2000. "Total Factor Productivity: A Short Biography," NBER Working Papers 7471, National Bureau of Economic Research, Inc.
  17. 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.
  18. Blundell, R. & Bond, S., 1995. "Initial Conditions and Moment Restrictions in Dynamic Panel Data Models," Economics Papers 104, Economics Group, Nuffield College, University of Oxford.
  19. Arellano, Manuel, 2003. "Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780199245291, March.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. Zvi Griliches & Jacques Mairesse, 1981. "Productivity and R and D at the Firm Level," NBER Working Papers 0826, National Bureau of Economic Research, Inc.
  26. Quah, Danny, 2002. "Technology Dissemination and Economic Growth: Some Lessons for the New Economy," CEPR Discussion Papers 3207, C.E.P.R. Discussion Papers.
  27. M. Ishaq Nadiri, 1993. "Innovations and Technological Spillovers," NBER Working Papers 4423, National Bureau of Economic Research, Inc.
  28. Garcia, Angel & Jaumandreu, Jordi & Rodriguez, Cesar, 2004. "Innovation and jobs: evidence from manufacturing firms," MPRA Paper 1204, University Library of Munich, Germany.
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. Danny Quah, 2002. "Technology Dissemination and Economic Growth: Some Lessons for the New Economy," CEP Discussion Papers dp0522, Centre for Economic Performance, LSE.
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