IDEAS home Printed from https://ideas.repec.org/a/eee/indorg/v24y2006i2p349-380.html
   My bibliography  Save this article

Spillovers in product and process innovation: Evidence from manufacturing firms

Author

Listed:
  • Ornaghi, Carmine

Abstract

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\ and 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.)

Suggested Citation

  • Ornaghi, Carmine, 2006. "Spillovers in product and process innovation: Evidence from manufacturing firms," International Journal of Industrial Organization, Elsevier, vol. 24(2), pages 349-380, March.
    • Handle: RePEc:eee:indorg:v:24:y:2006:i:2:p:349-380
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-7187(05)00099-8
    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 below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Tor Jakob Klette, 1999. "Market Power, Scale Economies and Productivity: Estimates from a Panel of Establishment Data," Journal of Industrial Economics, Wiley Blackwell, vol. 47(4), pages 451-476, December.
    2. Philippe Aghion & Nick Bloom & Richard Blundell & Rachel Griffith & Peter Howitt, 2005. "Competition and Innovation: an Inverted-U Relationship," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(2), pages 701-728.
    3. Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," NBER Working Papers 5067, National Bureau of Economic Research, Inc.
    4. Roberto Hernán & Pedro L. Marín & 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, March.
    5. 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.
    6. Zvi Griliches, 1998. "Productivity and R&D at the Firm Level," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 100-133, National Bureau of Economic Research, Inc.
    7. 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.
    8. Mansfield, Edwin, 1983. "Technological Change and Market Structure: An Empirical Study," American Economic Review, American Economic Association, vol. 73(2), pages 205-209, May.
    9. Zvi Griliches, 1984. "R&D, Patents, and Productivity," NBER Books, National Bureau of Economic Research, Inc, number gril84-1.
    10. Danny Quah, 2002. "Technology Dissemination and Economic Growth: Some Lessons for the New Economy," CEP Discussion Papers dp0522, Centre for Economic Performance, LSE.
    11. Klette, Tor Jakob & Griliches, Zvi, 1996. "The Inconsistency of Common Scale Estimators When Output Prices Are Unobserved and Endogenous," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(4), pages 343-361, July-Aug..
    12. Quah, Danny, 2002. "Technology Dissemination and Economic Growth: Some Lessons for the New Economy," CEPR Discussion Papers 3207, C.E.P.R. Discussion Papers.
    13. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    14. 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 341-357, December.
    15. Edwin Mansfield & John Rapoport & Anthony Romeo & Samuel Wagner & George Beardsley, 1977. "Social and Private Rates of Return from Industrial Innovations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 91(2), pages 221-240.
    16. Quah, Danny, 2002. "Technology dissemination and economic growth: some lessons for the new economy," LSE Research Online Documents on Economics 2118, London School of Economics and Political Science, LSE Library.
    17. 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.
    18. 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.
    19. 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.
    20. repec:bla:jindec:v:47:y:1999:i:4:p:451-76 is not listed on IDEAS
    21. 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.
    22. 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.
    23. Pakes, Ariel & Schankerman, Mark A., 1978. "The Rate of Obsolescence of Knowledge, Research Gestation Labs, and the Private Rate of Return to Research Resources," Working Papers 78-13, C.V. Starr Center for Applied Economics, New York University.
    24. Garcia, Angel & Jaumandreu, Jordi & Rodriguez, Cesar, 2004. "Innovation and jobs: evidence from manufacturing firms," MPRA Paper 1204, University Library of Munich, Germany.
    25. repec:bla:scandj:v:94:y:1992:i:0:p:s29-47 is not listed on IDEAS
    26. Cohen, Wesley M & Klepper, Steven, 1996. "A Reprise of Size and R&D," Economic Journal, Royal Economic Society, vol. 106(437), pages 925-951, July.
    27. 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.
    28. Ornaghi, Carmine, 2002. "Assessing the effectos of measurement errors on the estimation of the production function," UC3M Working papers. Economics we023314, Universidad Carlos III de Madrid. Departamento de Economía.
    29. Charles R. Hulten, 2000. "Total Factor Productivity: A Short Biography," NBER Working Papers 7471, National Bureau of Economic Research, Inc.
    30. 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.
    31. 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.
    32. 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.
    33. 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.
    34. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    35. Bottazzi, Laura & Peri, Giovanni, 2003. "Innovation and spillovers in regions: Evidence from European patent data," European Economic Review, Elsevier, vol. 47(4), pages 687-710, August.
    36. 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.
    37. Cohen, Wesley M & Klepper, Steven, 1996. "Firm Size and the Nature of Innovation within Industries: The Case of Process and Product R&D," The Review of Economics and Statistics, MIT Press, vol. 78(2), pages 232-243, May.
    38. 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.
    39. Zvi Griliches & Jacques Mairesse, 1981. "Productivity and R and D at the Firm Level," NBER Working Papers 0826, National Bureau of Economic Research, Inc.
    40. M. Ishaq Nadiri, 1993. "Innovations and Technological Spillovers," NBER Working Papers 4423, National Bureau of Economic Research, Inc.
    41. Richard C. Levin & Peter C. Reiss, 1988. "Cost-Reducing and Demand-Creating R&D with Spillovers," RAND Journal of Economics, The RAND Corporation, vol. 19(4), pages 538-556, Winter.
    42. Arellano, Manuel, 2003. "Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780199245291.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hall, Bronwyn H. & Mairesse, Jacques & Mohnen, Pierre, 2010. "Measuring the Returns to R&D," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 1033-1082, Elsevier.
    2. Ugur, Mehmet & Trushin, Eshref & Solomon, Edna & Guidi, Francesco, 2016. "R&D and productivity in OECD firms and industries: A hierarchical meta-regression analysis," Research Policy, Elsevier, vol. 45(10), pages 2069-2086.
    3. Montresor, Sandro & Vezzani, Antonio, 2015. "The production function of top R&D investors: Accounting for size and sector heterogeneity with quantile estimations," Research Policy, Elsevier, vol. 44(2), pages 381-393.
    4. Okada, Yosuke, 2005. "Competition and productivity in Japanese manufacturing industries," Journal of the Japanese and International Economies, Elsevier, vol. 19(4), pages 586-616, December.
    5. Hans Loof & Almas Heshmati, 2006. "On the relationship between innovation and performance: A sensitivity analysis," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 15(4-5), pages 317-344.
    6. Cohen, Wesley M., 2010. "Fifty Years of Empirical Studies of Innovative Activity and Performance," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 129-213, Elsevier.
    7. Giuseppe Medda & Claudio Piga, 2014. "Technological spillovers and productivity in Italian manufacturing firms," Journal of Productivity Analysis, Springer, vol. 41(3), pages 419-434, June.
    8. Markus Eberhardt & Christian Helmers & Hubert Strauss, 2013. "Do Spillovers Matter When Estimating Private Returns to R&D?," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 436-448, May.
    9. Petri Rouvinen, 2002. "R&D—Productivity Dynamics: Causality, Lags, and ‘Dry Holes’," Journal of Applied Economics, Taylor & Francis Journals, vol. 5(1), pages 123-156, May.
    10. Ana Lara GÓMEZ, 2015. "Technological Spillovers of Research Infrastructures," Departmental Working Papers 2015-18, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    11. O'Mahony, Mary & Vecchi, Michela, 2009. "R&D, knowledge spillovers and company productivity performance," Research Policy, Elsevier, vol. 38(1), pages 35-44, February.
    12. Bertrand, Olivier & Zuniga, Pluvia, 2006. "R&D and M&A: Are cross-border M&A different? An investigation on OECD countries," International Journal of Industrial Organization, Elsevier, vol. 24(2), pages 401-423, March.
    13. Capolupo, Rosa, 2009. "The New Growth Theories and Their Empirics after Twenty Years," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-72.
    14. Ornaghi, Carmine & Castiglionesi, Fabio, 2009. "On the determinants of TFP growth: evidence from Spanish manufacturing firms," Discussion Paper Series In Economics And Econometrics 0912, Economics Division, School of Social Sciences, University of Southampton.
    15. Ornaghi, Carmine, 2002. "Assessing the effectos of measurement errors on the estimation of the production function," UC3M Working papers. Economics we023314, Universidad Carlos III de Madrid. Departamento de Economía.
    16. Erik Brynjolfsson & Lorin M. Hitt, 2003. "Computing Productivity: Firm-Level Evidence," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 793-808, November.
    17. Yosuke Okada, 2005. "Competition and Productivity in Japanese Manufacturing Industries," NBER Working Papers 11540, National Bureau of Economic Research, Inc.
    18. Bond, Stephen & Harhoff, Dietmar & Van Reenen, John, 2003. "Corporate R&D and productivity in Germany and the United Kingdom," LSE Research Online Documents on Economics 770, London School of Economics and Political Science, LSE Library.
    19. Bettina Becker, 2013. "The Determinants of R&D Investment: A Survey of the Empirical Research," Discussion Paper Series 2013_09, Department of Economics, Loughborough University, revised Sep 2013.
    20. Raquel Ortega-Argilés, 2013. "R&D, knowledge, economic growth and the transatlantic productivity gap," Chapters, in: Frank Giarratani & Geoffrey J.D. Hewings & Philip McCann (ed.), Handbook of Industry Studies and Economic Geography, chapter 11, pages 271-302, Edward Elgar Publishing.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. 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.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/505551 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.