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International R&D Spillovers: Technology Transfer vs. R&D Synergies

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  • Dieppe, Alistair
  • Mutl, Jan

Abstract

We estimate a model of international technological spillovers that allows for both international and inter-sectoral technology transfer, as well as international and intersectoral synergies in research and development (R&D). Furthermore we allow for a dynamic interaction in explaining total factor productivity (TFP). Relative to the existing literature, our model enables us make a judgment on the relative importance of the channels of international technology transmission. We find that direct technology transfer is positive while there are negative R&D spillovers. However, since R&D is found to positively affect TFP in own sector, the model implies that after accounting for both R&D and TFP spillovers, there is a total positive impact of R&D on TFP in the same sector while the overall impact of R&D on TFP in other sectors and countries is negative. Our results indicate that, by not distinguishing among different channels of transmission, some models previously estimated in the literature may suffer from omitted variable bias. JEL Classification: C21, C23, D24, O30

Suggested Citation

  • Dieppe, Alistair & Mutl, Jan, 2013. "International R&D Spillovers: Technology Transfer vs. R&D Synergies," Working Paper Series 1504, European Central Bank.
  • Handle: RePEc:ecb:ecbwps:20131504
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    References listed on IDEAS

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    1. Doraszelski, Ulrich & Jaumandreu, Jordi, 2006. "R&D and productivity: Estimating production functions when productivity is endogenous," MPRA Paper 1246, University Library of Munich, Germany.
    2. Kelejian, Harry H & Prucha, Ingmar R, 1998. "A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 99-121, July.
    3. Marcel P. Timmer & Mary O’Mahony & Bart van Ark, 2007. "EU KLEMS Growth and Productivity Accounts: An Overview," International Productivity Monitor, Centre for the Study of Living Standards, vol. 14, pages 71-85, Spring.
    4. James Lesage & Manfred Fischer, 2008. "Spatial Growth Regressions: Model Specification, Estimation and Interpretation," Spatial Economic Analysis, Taylor & Francis Journals, vol. 3(3), pages 275-304.
    5. Bitzer, Jurgen & Geishecker, Ingo, 2006. "What drives trade-related R&D spillovers? Decomposing knowledge-diffusing trade flows," Economics Letters, Elsevier, vol. 93(1), pages 52-57, October.
    6. Norihiko Yamano & Nadim Ahmad, 2006. "The OECD Input-Output Database: 2006 Edition," OECD Science, Technology and Industry Working Papers 2006/8, OECD Publishing.
    7. Lichtenberg, Frank R. & Pottelsberghe de la Potterie, Bruno v., 1998. "International R&D spillovers: A comment," European Economic Review, Elsevier, vol. 42(8), pages 1483-1491, September.
    8. Duncan McVicar, 2002. "Spillovers and foreign direct investment in UK manufacturing," Applied Economics Letters, Taylor & Francis Journals, vol. 9(5), pages 297-300.
    9. Branstetter, Lee G., 2001. "Are knowledge spillovers international or intranational in scope?: Microeconometric evidence from the U.S. and Japan," Journal of International Economics, Elsevier, vol. 53(1), pages 53-79, February.
    10. McGahan, Anita M. & Silverman, Brian S., 2006. "Profiting from technological innovation by others: The effect of competitor patenting on firm value," Research Policy, Elsevier, vol. 35(8), pages 1222-1242, October.
    11. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
    12. Amemiya, Takeshi & MaCurdy, Thomas E, 1986. "Instrumental-Variable Estimation of an Error-Components Model," Econometrica, Econometric Society, vol. 54(4), pages 869-880, July.
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    Cited by:

    1. Schulte, Patrick, 2015. "Does skill-biased technical change diffuse internationally?," ZEW Discussion Papers 15-088, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.

    More about this item

    Keywords

    international spillovers; R&D; research and development; technology transfer; TFP; total factor productivity;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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