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Issues in assessing the effect of interindustry R&D spillovers

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  • Bruno Van Pottelsberghe

Abstract

This paper aims to clarify three issues concerning the weighting methodol ogy generally used to evaluate interindustry R&D spillovers. These issues concern the likely nature of the spillovers estimated through different types of supporting matrices; the similarity between input-output (IO), technology flows and technological proximity matrices; and the relevance of the assumption that a single matrix can be used for different countries. Data analyses of weighting components show that technology flows matrices are in an intermediate position between IO matrices and technological proximity matrices, but closer to the former. The various IO matrices, as well as the three technological proximity matrices, are very similar to each other. The panel data estimates of the effect of different types of interindustry R&D spillovers on industrial productivity growth in the G7 countries reject the hypotheses that a technology flows matrix can be approximated by an IO matrix and that a single IO matrix can be usedfor different countries. By transitivity, the procedure that comprises using a single technology flow for several countries is not reliable. The international comparison shows that each country benefits from different types of R&D externality. In Japan and, to a lesser extent, in the US, the rate of return to direct R&D is very high and is likely to compensate for relatively weak interindustry R&D spillover effects. In the five other industrialized countries, the reverse observation is true: strong social rates of return to R&D counterbal ance the poor performances of direct R&D.
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Suggested Citation

  • Bruno Van Pottelsberghe, 1997. "Issues in assessing the effect of interindustry R&D spillovers," ULB Institutional Repository 2013/6235, ULB -- Universite Libre de Bruxelles.
  • Handle: RePEc:ulb:ulbeco:2013/6235
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    1. Bernstein, Jeffrey I. & Nadiri, M. Ishaq, 1990. "Product Demand, Cost Of Production, Spillovers And The Social Rate Or Return To R&D," Working Papers 90-53, C.V. Starr Center for Applied Economics, New York University.
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    Cited by:

    1. Fernández Vázquez, Esteban & Los, Bart, 2007. "A Maximum Entropy Approach to the Indenitication of Productive Technology Spillovers," Discussion Papers 1106, The Research Institute of the Finnish Economy.
    2. Otto, Vincent M. & Löschel, Andreas, 2008. "Technological Uncertainty and Cost-effectiveness of CO2 Emission Trading Schemes," ZEW Discussion Papers 08-050, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    3. de Rassenfosse, Gaetan & van Pottelsberghe de la Potterie, Bruno, 2009. "A policy insight into the R&D-patent relationship," Research Policy, Elsevier, vol. 38(5), pages 779-792, June.
    4. Michele Cincera, 2005. "Firms' productivity growth and R&D spillovers: An analysis of alternative technological proximity measures," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 14(8), pages 657-682.
    5. Christoph Meister & Bart Verspagen & Guntram B. Wolff, 2006. "European Productivity Gaps: Is R&D the Solution?," Chapters,in: Competitiveness and Growth in Europe, chapter 8 Edward Elgar Publishing.
    6. Timo Mitze & Björn Alecke, 2011. "Welche Rolle spielt externes Wissen für die sektorale Technologieentwicklung?: Eine empirische Analyse zur Identifikation intersektoraler FuE-Spillovers," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 80(3), pages 167-180.
    7. Chiara Franco & Sandro Montresor & Giuseppe Vittucci Marzetti, 2009. "On indirect trade-related R&D spillovers: the role of the international trade network," Openloc Working Papers 0901, Public policies and local development.
    8. Hausmann, Ricardo & Klinger, Bailey, 2006. "Structural Transformation and Patterns of Comparative Advantage in the Product Space," Working Paper Series rwp06-041, Harvard University, John F. Kennedy School of Government.
    9. Bernstein, Jeffrey I. & Mamuneas, Theofanis P., 2006. "R&D depreciation, stocks, user costs and productivity growth for US R&D intensive industries," Structural Change and Economic Dynamics, Elsevier, vol. 17(1), pages 70-98, January.
    10. Correa, Paulo & Andres, Luis & Borja-Vega, Christian, 2013. "The impact of government support on firm R&D investments : a meta-analysis," Policy Research Working Paper Series 6532, The World Bank.
    11. repec:ucm:wpaper:01-04 is not listed on IDEAS
    12. Myriam ABDELMOULA & Diègo LEGROS, 2009. "Interregional R&D Spillovers In Europe," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 30, pages 101-118.
    13. Giovanni Marin & Massimiliano Mazzanti, 2013. "The evolution of environmental and labor productivity dynamics," Journal of Evolutionary Economics, Springer, vol. 23(2), pages 357-399, April.
    14. Bernadette Biatour & Michel Dumont & Chantal Kegels, 2011. "Working Paper 07-11 - The determinants of industry-level total factor productivity in Belgium," Working Papers 1107, Federal Planning Bureau, Belgium.
    15. Martin Andersson & Olof Ejermo, 2005. "How does accessibility to knowledge sources affect the innovativeness of corporations?—evidence from Sweden," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 39(4), pages 741-765, December.
    16. Desiderio Romero Jordán & José Félix Sanz Sanz, 2007. "Eficacia de los incentivos fiscales a la inversión en I+D en España en los años noventa," Hacienda Pública Española, IEF, vol. 183(4), pages 9-32, december.
    17. Bednyagin, Denis & Gnansounou, Edgard, 2012. "Estimating spillover benefits of large R&D projects: Application of real options modelling approach to the case of thermonuclear fusion R&D programme," Energy Policy, Elsevier, vol. 41(C), pages 269-279.
    18. Bernadette Biatour, 2011. "Working Paper 10-11 - Estimation of inter-industry domestic and international R&D stocks for Belgium," Working Papers 1110, Federal Planning Bureau, Belgium.
    19. Petr Hanel, 2000. "R&D, Interindustry and International Technology Spillovers and the Total Factor Productivity Growth of Manufacturing Industries in Canada, 1974-1989," Economic Systems Research, Taylor & Francis Journals, vol. 12(3), pages 345-361.
    20. Bulent Guloglu & R. Tekin, 2012. "A Panel Causality Analysis of the Relationship among Research and Development, Innovation, and Economic Growth in High-Income OECD Countries," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 2(1), pages 32-47, June.
    21. Giulio Cainelli & Massimiliano Mazzanti & Simone Borghesi, 2012. "The European Emission Trading Scheme and environmental innovation diffusion: Empirical analyses using Italian CIS data," Working Papers 201201, University of Ferrara, Department of Economics.
    22. Manel Kamoun Zribi & Mohamed Ben Amar, 2016. "The Importance of Renewable Energy in Economic Growth: Evidence from a Panel of Emerging Countries," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 18(59), pages 125-142, March.
    23. Abdelkarim Yahyaoui & Atef Rahmani, 2009. "Financial Development and Economic Growth: Role of Institutional Quality," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 56(3), pages 327-357, September.
    24. Matsushima, Kazunari & Aoshima, Yaichi, 2014. "The Spillover Effects of Publicly Supported Private R&D : Analysis of NEDO Follow-up Survey Data," IIR Working Paper 14-04, Institute of Innovation Research, Hitotsubashi University.
    25. Giulio Cainelli & Massimiliano Mazzanti & Roberto Zoboli, 2011. "Enviromental Innovations, Complementarity and Local/Global Cooperation," Working Papers 201104, University of Ferrara, Department of Economics.

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