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R and D and Productivity at the Industry Level: Is There Still a Relationship?

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  • Zvi Griliches
  • Frank R. Lichtenberg

Abstract

This paper is a re-examination of the relationship between research and development (R&D) activity and total factor productivity (TFP) at the industry level during the period extending from the early 1960's to the mid-1970's. The data base consists of NSF data on applied R&D expenditures by product class, matched to TFP indices derived from the detailed Census-Penn-SRI manufacturing data file. A hypothesis suggested by previous research on the R&D-productivity relationship is that, due, perhaps, to the depletion of scientific opportunities, the "potency'' of R&D as a source of technological progress has declined in recent years. Our findings indicate, however, that the relationship between an industry's R&D-intensity and its productivity growth did not disappear; if anything, the relationship was stronger in recent years. The overall deceleration in productivity in recent years has affected R&D-intensive industries, but to a lesser extent than it has other industries. What cannot be found in the data is strong evidence of the differential effects of the slowdown in R&D itself. The time series appear to be too noisy and the period too short to detect what the major consequences of the retardation in the growth of R&D expenditures may yet turn out to be.

Suggested Citation

  • Zvi Griliches & Frank R. Lichtenberg, 1982. "R and D and Productivity at the Industry Level: Is There Still a Relationship?," NBER Working Papers 0850, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:0850
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    References listed on IDEAS

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    1. William D. Nordhaus, 1980. "Policy Responses to the Productivity Slowdown," Cowles Foundation Discussion Papers 555, Cowles Foundation for Research in Economics, Yale University.
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    Cited by:

    1. Agnieszka Gehringer, 2011. "Pecuniary knowledge externalities and innovation: intersectoral linkages and their effects beyond technological spillovers," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 20(5), pages 495-515.
    2. 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.
    3. Frank R. Lichtenberg, 2001. "The Allocation of Publicly Funded Biomedical Research," NBER Chapters, in: Medical Care Output and Productivity, National Bureau of Economic Research, Inc.
    4. Fernando Borraz & Nicolás Gonzalez Pampillón, 2011. "Assessing the Distributive Impact of More than Doubling the Minimum Wage: The Case of Uruguay," Documentos de Trabajo (working papers) 1711, Department of Economics - dECON.
    5. Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung & Conseil d'Analyse Écon (ed.), 2010. "Monitoring economic performance, quality of life and sustainability. Joint report as requested by the Franco-German Ministerial Council," Occasional Reports / Expertisen, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung, number 75366.
    6. Bruce Rasmussen, 2010. "Innovation and Commercialisation in the Biopharmaceutical Industry," Books, Edward Elgar Publishing, number 13680.
    7. repec:got:cegedp:100 is not listed on IDEAS
    8. Kaies Samet, 2010. "The creative intelligence," Working Papers hal-00512539, HAL.
    9. Frieling, Titus, 2021. "Innovation under central planning: patenting and productivity in the GDR," LSE Research Online Documents on Economics 112938, London School of Economics and Political Science, LSE Library.
    10. Kaies Samet, 2010. "The creative intelligence," Working paper serie RMT - Grenoble Ecole de Management hal-00512539, HAL.
    11. Schön, Benjamin & Pyka, Andreas, 2013. "The success factors of technology-sourcing through mergers & acquisitions: An intuitive meta-analysis," FZID Discussion Papers 78-2013, University of Hohenheim, Center for Research on Innovation and Services (FZID).
    12. Mario Coccia, 2018. "Optimization in R&D intensity and tax on corporate profits for supporting labor productivity of nations," The Journal of Technology Transfer, Springer, vol. 43(3), pages 792-814, June.

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