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International spillovers and absorptive capacity: A cross-country cross-sector analysis based on patents and citations

  • Mancusi, Maria Luisa

This paper brings together the issues of knowledge spillovers and absorptive capacity, by assessing the role of prior R&D experience in enhancing a country's ability to understand and improve upon external knowledge. International spillovers are found effective in increasing innovative productivity in laggard countries, while technological leaders are a source rather than a destination of knowledge flows. Quantitative estimates of the effect of absorptive capacity on innovative performance, through knowledge spillovers, show that absorptive capacity increases the elasticity of a laggard country's innovation to international spillovers, while its marginal effect is negligible for countries at the technological frontier.

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Article provided by Elsevier in its journal Journal of International Economics.

Volume (Year): 76 (2008)
Issue (Month): 2 (December)
Pages: 155-165

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Handle: RePEc:eee:inecon:v:76:y:2008:i:2:p:155-165
Contact details of provider: Web page: http://www.elsevier.com/locate/inca/505552

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  1. James Proudman & Stephen Redding, 2000. "Evolving patterns of international trade," LSE Research Online Documents on Economics 206, London School of Economics and Political Science, LSE Library.
  2. Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," LSE Research Online Documents on Economics 3728, London School of Economics and Political Science, LSE Library.
  3. Quah, Danny T, 1997. "Empirics for Growth and Distribution: Stratification, Polarization, and Convergence Clubs," Journal of Economic Growth, Springer, vol. 2(1), pages 27-59, March.
  4. Rachel Griffith & Stephen Redding & John Van Reenen, 2000. "Mapping the two faces of R&D: productivity growth in a panel of OECD industries," IFS Working Papers W00/02, Institute for Fiscal Studies.
  5. Steve Bond & CĂ©line Nauges & Frank Windmeijer, 2005. "Unit roots: identification and testing in micro panels," CeMMAP working papers CWP07/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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  7. Redding, Stephen, 2002. "Specialization dynamics," Journal of International Economics, Elsevier, vol. 58(2), pages 299-334, December.
  8. Zvi Griliches, 1990. "Patent Statistics as Economic Indicators: A Survey," NBER Working Papers 3301, National Bureau of Economic Research, Inc.
  9. Michele Cincera & Bruno Van Pottelsberghe, 2001. "International R&D spillovers: a survey," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 169(169), pages 3-31.
  10. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-38, July.
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  13. Quah, Danny, 1997. "Empirics for Growth and Distribution: Stratification, Polarization, and Convergence Clubs," CEPR Discussion Papers 1586, C.E.P.R. Discussion Papers.
  14. Jaffe, A.B. & Trajtenberg, M., 1992. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," Papers 14-92, Tel Aviv.
  15. Bottazzi, Laura & Peri, Giovanni, 2003. "Innovation and spillovers in regions: Evidence from European patent data," European Economic Review, Elsevier, vol. 47(4), pages 687-710, August.
  16. Richard Blundell & Rachel Griffith & John van Reenen, 1999. "Market Share, Market Value and Innovation in a Panel of British Manufacturing Firms," Review of Economic Studies, Oxford University Press, vol. 66(3), pages 529-554.
  17. Bronwyn H. Hall & Jacques Mairesse, 1992. "Exploring the Relationship Between R&D and Productivity in French Manufacturing Firms," NBER Working Papers 3956, National Bureau of Economic Research, Inc.
  18. 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.
  19. Richard Blundell & Rachel Griffith & Frank Windmeijer, 1999. "Individual effects and dynamics in count data models," IFS Working Papers W99/03, Institute for Fiscal Studies.
  20. Giovanni Peri, 2005. "Determinants of Knowledge Flows and Their Effect on Innovation," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 308-322, May.
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