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Welche Rolle spielt externes Wissen für die sektorale Technologieentwicklung?: Eine empirische Analyse zur Identifikation intersektoraler FuE-Spillovers

Author

Listed:
  • Timo Mitze
  • Björn Alecke

Abstract

In this paper, we analyse the role played by intersectoral R&D-spillovers in determining sectoral productivity growth patterns. Based on panel data for 12 OECD countries throughout the period 1980-2004, our empirical approach builds upon the estimation of so-called "Griliches-Type" production functions, which are prominently driven by knowledge capital stocks. Our results identify positive and statistically significant private as well as social returns to R&D activity. Thereby, both the manufacturing sector as a whole and particularly its hightech subsectors show to benefit considerably from their own sectoral R&D spendings in driving output growth. Moreover, these sectors also show to be a significant source of intersectoral R&D spillovers. Our obtained results thus highlight the macroeconomic importance of the latter sectors and also hint at the likely effectiveness of policy measures aiming to exploit social returns from R&D spillovers. Die vorliegende Arbeit untersucht die Rolle von intersektoralen FuE-Spillovereffekten für das sektorale Produktivitätswachstum anhand eines Datensatzes für zwölf OECD-Volkswirtschaften im Zeitraum 1980 bis 2004. Im Rahmen der empirischen Analyse werden mithilfe von panelökonometrischen Verfahren sogenannte "Griliches-Typ"-Produktionsfunktionen geschätzt, die der Akkumulation von Wissenskapitalstöcken eine besondere Rolle beimessen. Die erzielten Ergebnisse bestätigen die Existenz privater Erträge und sozialer Zusatzerträge von sektoraler FuE-Tätigkeit. So kann gezeigt werden, dass das Verarbeitende Gewerbe und darunter insbesondere "Hightech"-Sektoren einerseits überdurchschnittlich stark von der eigenen FuE-Tätigkeit profitieren und andererseits eine Quelle für positive intersektorale Spillover-Effekte sind. Die Ergebnisse verdeutlichen damit die besondere gesamtwirtschaftliche Rolle dieser Sektoren und geben darüber hinaus Hinweise auf den potenziellen Nutzen einer gezielten politischen Förderung der unternehmerischen FuE-Tätigkeit.

Suggested Citation

  • 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.
  • Handle: RePEc:diw:diwvjh:80-3-10
    DOI: 10.3790/vjh.80.3.167
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    References listed on IDEAS

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    1. Belitz, Heike & Clemens, Marius & Gornig, Martin, 2008. "Wirtschaftsstrukturen und Produktivität im internationalen Vergleich," Studien zum deutschen Innovationssystem 2-2008, Expertenkommission Forschung und Innovation (EFI) - Commission of Experts for Research and Innovation, Berlin.
    2. Jeffrey Bernstein, 1998. "Factor Intensities, Rates of Return, and International R&D Spillovers: The Case of Canadian and U.S. Industries," Annals of Economics and Statistics, GENES, issue 49-50, pages 541-564.
    3. Jeffrey Bernstein, 1997. "Interindustry R&D Spillovers for Electrical and Electronic Products: The Canadian Case," Economic Systems Research, Taylor & Francis Journals, vol. 9(1), pages 111-125.
    4. Kwon, Hyeog Ug, 2003. "Measuring the Rate of Return to R&D, Interindustry R&D Spillovers in Korean Manufacturing Industries," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 44(1), pages 49-57, June.
    5. Bruno Van Pottelsberghe De La Potterie, 1997. "Issues in Assessing the Effect of Interindustry R&D Spillovers," Economic Systems Research, Taylor & Francis Journals, vol. 9(4), pages 331-356.
    6. 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.
    7. Bernstein, Jeffrey I & Nadiri, M Ishaq, 1988. "Interindustry R&D Spillovers, Rates of Return, and Production in High-Tech Industries," American Economic Review, American Economic Association, vol. 78(2), pages 429-434, May.
    8. 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.
    9. Dirk Czarnitzki & Kornelius Kraft, 2010. "On the profitability of innovative assets," Applied Economics, Taylor & Francis Journals, vol. 42(15), pages 1941-1953.
    10. Mary O'Mahony & Marcel P. Timmer, 2009. "Output, Input and Productivity Measures at the Industry Level: The EU KLEMS Database," Economic Journal, Royal Economic Society, vol. 119(538), pages 374-403, June.
    11. Jaffe, Adam B, 1989. "Real Effects of Academic Research," American Economic Review, American Economic Association, vol. 79(5), pages 957-970, December.
    12. repec:adr:anecst:y:1998:i:49-50:p:21 is not listed on IDEAS
    13. Bernstein, Jeffrey I. & Nadiri, M. Ishaq, 1988. "Interindustry R&D, Rates of Return and Production in High-Tech Industries," Working Papers 88-04, C.V. Starr Center for Applied Economics, New York University.
    14. Bart Verspagen, 1997. "Estimating international technology spillovers using technology flow matrices," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 133(2), pages 226-248, June.
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    More about this item

    Keywords

    Production functions; R&D spillovers; panel econometrics;
    All these keywords.

    JEL classification:

    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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