International R&D Spillovers: Technology Transfer vs. R&D Synergies
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
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- 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.
- Doraszelski, Ulrich & Jaumandreu, Jordi, 2006.
"R&D and productivity: Estimating production functions when productivity is endogenous,"
1246, University Library of Munich, Germany.
- Jaumandreu, Jordi & Doraszelski, Ulrich, 2007. "R&D and productivity : estimating production functions when productivity is endogenous," UC3M Working papers. Economics we078652, Universidad Carlos III de Madrid. Departamento de Economía.
- Doraszelski, Ulrich & Jaumandreu, Jordi, 2008. "R&D and Productivity: Estimating Production Functions when Productivity is Endogenous," CEPR Discussion Papers 6636, C.E.P.R. Discussion Papers.
- Amemiya, Takeshi & MaCurdy, Thomas E, 1986. "Instrumental-Variable Estimation of an Error-Components Model," Econometrica, Econometric Society, vol. 54(4), pages 869-80, July.
- 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.
- 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.
- 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.
- 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.
- Tom Doan, . "RATS program to replicate Arellano-Bond 1991 dynamic panel," Statistical Software Components RTZ00169, Boston College Department of Economics.
- Bruno Van Pottelsberghe & Frank Lichtenberg, 1998.
"International R&D spillovers comment,"
ULB Institutional Repository
2013/6233, ULB -- Universite Libre de Bruxelles.
- Duncan McVicar, 2002. "Spillovers and foreign direct investment in UK manufacturing," Applied Economics Letters, Taylor & Francis Journals, vol. 9(5), pages 297-300.
- Norihiko Yamano & Nadim Ahmad, 2006. "The OECD Input-Output Database: 2006 Edition," OECD Science, Technology and Industry Working Papers 2006/8, OECD Publishing.
- Harry H. Kelejian & Ingmar R. Prucha, 1997.
"A Generalized Spatial Two Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances,"
Electronic Working Papers
97-002, University of Maryland, Department of Economics, revised Aug 1997.
- 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.
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