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

R&D and Productivity: Testing Sectoral Peculiarities Using Micro Data

The aim of this study is to investigate the relationship between a firm's R&D activities and its productivity using a unique micro data panel dataset and looking at sectoral peculiarities which may emerge; more specifically, we used an unbalanced longitudinal database consisting of 532 top European R&D investors over the six-year period 2000-2005. Our main findings can be summarised along the following lines: knowledge stock has a significant positive impact on a firm's productivity, with an overall elasticity of about 0.125; this general result is largely consistent with previous literature in terms of the sign, the significance and the estimated magnitude of the relevant coefficient. More interestingly, the coefficient increases monotonically when we move from the low-tech to the medium-high and high-tech sectors, ranging from a minimum of 0.05/0.07 to a maximum of 0.16/0.18. This outcome, in contrast with recently-renewed acceptance of low-tech sectors as a preferred target of R&D investment, suggests that firms in high-tech sectors are still far ahead in terms of the impact on productivity of their R&D investments, at least as regards top European R&D investors.

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://iri.jrc.ec.europa.eu/documents/10180/f3bc5217-c242-4a41-a8d8-cc417ce7e134
Download Restriction: no

Paper provided by Institute of Prospective Technological Studies, Joint Research Centre in its series JRC-IPTS Working Papers on Corporate R&D and Innovation with number 2009-3.

as
in new window

Length: 25 pages
Date of creation: Jun 2009
Date of revision:
Handle: RePEc:ipt:wpaper:20093
Contact details of provider: Postal: C/ Inca Garcilaso, s/n 41092 Seville
Phone: +34 954 48 8318
Fax: +34 954 48 8300
Web page: https://ec.europa.eu/jrc/en/institutes/ipts
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. 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.
  2. Hans L��f & Almas Heshmati, 2003. "The link between firm-level innovation and aggregate productivity growth: a cross-country examination," Research Evaluation, Oxford University Press, vol. 12(2), pages 131-147, August.
  3. 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.
  4. n/a, 1998. "Can real equilibrium models account for the fluctuations of the UK business cycle?," NIESR Discussion Papers 211, National Institute of Economic and Social Research.
  5. Bronwyn H. Hall, 2010. "Measuring the Returns to R&D: The Depreciation Problem," NBER Chapters, in: Contributions in Memory of Zvi Griliches, pages 341-381 National Bureau of Economic Research, Inc.
  6. Jeffrey I. Bernstein & M. Ishaq Nadiri, 1986. "Research and Development and Intraindustry Spillovers: An Empirical Application of Dynamic Duality," NBER Working Papers 2002, National Bureau of Economic Research, Inc.
  7. Catozzella, Alessandra & Vivarelli, Marco, 2007. "The Catalysing Role of In-House R&D in Fostering the Complementarity of Innovative Inputs," IZA Discussion Papers 3126, Institute for the Study of Labor (IZA).
  8. Claudio A . Piga & Marco Vivarelli, 2004. "Internal and External R&D: A Sample Selection Approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(4), pages 457-482, 09.
  9. 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.
  10. Conte, Andrea & Vivarelli, Marco, 2005. "One or Many Knowledge Production Functions? Mapping Innovative Activity Using Microdata," IZA Discussion Papers 1878, Institute for the Study of Labor (IZA).
  11. 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.
  12. Dosi, Giovanni, 1997. "Opportunities, Incentives and the Collective Patterns of Technological Change," Economic Journal, Royal Economic Society, vol. 107(444), pages 1530-47, September.
  13. Claudio A. Piga & Giuseppe Medda, 2007. "Technological Spillovers and Productivity in Italian Manufacturing Firms," Discussion Paper Series 2007_17, Department of Economics, Loughborough University, revised Jul 2007.
  14. Philippe Cuneo & Jacques Mairesse, 1983. "Productivity and R&D at the Firm Level in French Manufacturing," NBER Working Papers 1068, National Bureau of Economic Research, Inc.
  15. Thomas Hatzichronoglou, 1997. "Revision of the High-Technology Sector and Product Classification," OECD Science, Technology and Industry Working Papers 1997/2, OECD Publishing.
  16. Jacques Mairesse & Pierre Mohnen, 2001. "To Be or Not To Be Innovative: An Exercise in Measurement," NBER Working Papers 8644, National Bureau of Economic Research, Inc.
  17. Peters, Bettina & Lööf, Hans & Janz, Norbert, 2003. "Firm Level Innovation and Productivity: Is there a Common Story Across Countries?," ZEW Discussion Papers 03-26, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  18. Klette, Tor Jakob & Kortum, Samuel S, 2002. "Innovating Firms and Aggregate Innovation," CEPR Discussion Papers 3248, C.E.P.R. Discussion Papers.
  19. Francesco Aiello & Paola Cardamone, 2008. "R&D spillovers and firms’ performance in Italy," Empirical Economics, Springer, vol. 34(1), pages 143-166, February.
  20. Zvi Griliches, 1998. "Comparing Productivity Growth: An Exploration of French and U.S. Industrial and Firm Data," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 157-186 National Bureau of Economic Research, Inc.
  21. Wakelin, Katharine, 2001. "Productivity growth and R&D expenditure in UK manufacturing firms," Research Policy, Elsevier, vol. 30(7), pages 1079-1090, August.
  22. Jacques Mairesse & Mohamed Sassenou, 1991. "R&D Productivity: A Survey of Econometric Studies at the Firm Level," NBER Working Papers 3666, National Bureau of Economic Research, Inc.
  23. Greenhalgh, C & Longland, M & Bosworth, D, 2001. "Technological Activity and Employment in a Panel of UK Firms," Scottish Journal of Political Economy, Scottish Economic Society, vol. 48(3), pages 260-82, August.
  24. Zvi Griliches, 1985. "Productivity, R&d, and Basic Research at the Firm Level in the 1970s," NBER Working Papers 1547, National Bureau of Economic Research, Inc.
  25. Pavitt, Keith, 1984. "Sectoral patterns of technical change: Towards a taxonomy and a theory," Research Policy, Elsevier, vol. 13(6), pages 343-373, December.
  26. Aghion, Philippe & Howitt, Peter, 1996. "The Observational Implications of Schumpeterian Growth Theory," Empirical Economics, Springer, vol. 21(1), pages 13-25.
  27. Richard Blundell & Steve Bond, 1995. "Initial conditions and moment restrictions in dynamic panel data models," IFS Working Papers W95/17, Institute for Fiscal Studies.
  28. repec:fth:inseep:9833 is not listed on IDEAS
  29. Winter, Sidney G., 1984. "Schumpeterian competition in alternative technological regimes," Journal of Economic Behavior & Organization, Elsevier, vol. 5(3-4), pages 287-320.
  30. Mark Rogers, 2006. "R&D and Productivity in the UK: evidence from firm-level data in the 1990s," Economics Series Working Papers 255, University of Oxford, Department of Economics.
  31. Maria Laura Parisi & Fabio Schiantarelli & Alessandro Sembenelli, 2002. "Productivity, Innovation Creation and Absorption, and R&D: Micro Evidence for Italy," Boston College Working Papers in Economics 526, Boston College Department of Economics.
  32. 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.
  33. Andrea Conte, 2009. "Mapping innovative activity using microdata," Applied Economics Letters, Taylor & Francis Journals, vol. 16(18), pages 1795-1799.
  34. Arellano, Manuel, 2003. "Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780199245291, March.
  35. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-38, May.
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:ipt:wpaper:20093. 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: (Institute Publication Officer)

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.