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Intersectoral and International R&D Knowledge Spillovers and Total Factor Productivity

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  • Frantzen, Dirk

Abstract

Disaggregate panel data estimates are presented of equations that relate a set of OECD countries' sectoral total factor productivity to domestic and to foreign R&D capital. The estimates indicate that there are both important international and national R&D knowledge spillovers and that these spillovers are intersectoral and intrasectoral in nature. They show that the influence of domestic R&D is stronger in the large economies and that this is caused by more important domestic intersectoral R&D spillovers. There is also evidence of a greater influence of domestic and of foreign R&D in research intensive industries and of an interaction between the domestic economy scale and the research intensity effects. Copyright 2002 by Scottish Economic Society.

Suggested Citation

  • Frantzen, Dirk, 2002. "Intersectoral and International R&D Knowledge Spillovers and Total Factor Productivity," Scottish Journal of Political Economy, Scottish Economic Society, vol. 49(3), pages 280-303, August.
  • Handle: RePEc:bla:scotjp:v:49:y:2002:i:3:p:280-303
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    Cited by:

    1. Park, Jungsoo, 2004. "International student flows and R&D spillovers," Economics Letters, Elsevier, vol. 82(3), pages 315-320, March.
    2. Abassi, Boutheina, 2015. "International R&D spillovers, R&D offshoring and economic performance: A survey of literature," MPRA Paper 66986, University Library of Munich, Germany.
    3. Mitze, Timo & Naveed, Amjad & Ahmad, Nisar, 2016. "International, intersectoral, or unobservable? Measuring R&D spillovers under weak and strong cross-sectional dependence," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 259-272.
    4. Lejour, Arjan & Rojas Romasgosa, Hugo & Rodriguez, Victor & Montalvo, Carvos & Van der Zee, Frans, 2009. "Trade costs, Openness and Productivity: Market Access at Home and Abroad," MPRA Paper 21214, University Library of Munich, Germany.
    5. Naito, Takumi, 2006. "Growth, revenue, and welfare effects of tariff and tax reform: Win-win-win strategies," Journal of Public Economics, Elsevier, vol. 90(6-7), pages 1263-1280, August.
    6. Chen, Shiu-Sheng, 2017. "Exchange rate undervaluation and R&D activity," Journal of International Money and Finance, Elsevier, vol. 72(C), pages 148-160.
    7. Alessandro Sterlacchini & Francesco Venturini, 2014. "R&D and Productivity in High-Tech Manufacturing: A Comparison between Italy and Spain," Industry and Innovation, Taylor & Francis Journals, vol. 21(5), pages 359-379, July.
    8. 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.
    9. Piotr Stryszowski, 2006. "Brains for Capital. The Effect of Brain Drain on Investments and Convergence," DEGIT Conference Papers c011_049, DEGIT, Dynamics, Economic Growth, and International Trade.
    10. Ram C. Acharya, 2015. "Revisiting measure of R&D spillovers: empirical evidence on OECD countries and industries," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 24(4), pages 360-400, June.
    11. Peri, Giovanni, 2003. "Knowledge Flows, R&D Spillovers and Innovation," ZEW Discussion Papers 03-40, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    12. Franco Malerba & Maria Mancusi & Fabio Montobbio, 2013. "Innovation, international R&D spillovers and the sectoral heterogeneity of knowledge flows," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 149(4), pages 697-722, December.

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