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How special is the special relationship? Using the impact of US R&D spillovers on UK firms as a test of technology sourcing

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  • Rachel Griffith

    ()
    (Institute for Fiscal Studies and University of Manchester)

  • Rupert Harrison
  • John Van Reenen

Abstract

How much does US-based R&D benefit other countries and through what mechanisms? We test the 'technology sourcing' hypothesis that foreign research labs located on US soil tap into US R&D spillovers and improve home country productivity. Using panels of UK and US firms matched to patent data we show that UK firms who had established a high proportion of US-based inventors by 1990 benefited disproportionately from the growth of the US R&D stock over the next 10 years. We estimate that UK firmsÒ Total Factor Productivity would have been at least 5% lower in 2000 (about $14bn) in the absence of the US R&D growth in the 1990s. We also find that technology sourcing is more important for countries and industries who have 'most to learn'. Within the UK, the benefits of technology sourcing were larger in industries whose TFP gap with the US was greater. Between countries, the growth of the UK R&D stock did not appear to have a major benefit for US firms who located R&D labs in the UK. The 'special relationship' between the UK and the US appears distinctly asymmetric.

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Bibliographic Info

Paper provided by Institute for Fiscal Studies in its series IFS Working Papers with number W04/32.

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Length: 53 pp.
Date of creation: Dec 2004
Date of revision:
Handle: RePEc:ifs:ifsewp:04/32

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Keywords: international spillovers; technology sourcing; productivity;

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  1. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343 National Bureau of Economic Research, Inc.
  2. Jaffe, A.B. & Trajtenberg, M., 1998. "International Knowledge Flows: Evidence from Patent Citation," Papers 11-98, Tel Aviv.
  3. Jaffe, Adam B & Trajtenberg, Manuel & Henderson, Rebecca, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, MIT Press, vol. 108(3), pages 577-98, August.
  4. James Levinsohn & Amil Petrin, 2000. "Estimating Production Functions Using Inputs to Control for Unobservables," NBER Working Papers 7819, National Bureau of Economic Research, Inc.
  5. Wolfgang Keller, 1996. "Are International R&D Spillovers Trade-related? Analyzing Spillovers among Randomly Matched Trade Partners," International Trade 9608002, EconWPA.
  6. 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.
  7. Richard Blundell & Steve Bond, 1999. "GMM estimation with persistent panel data: an application to production functions," IFS Working Papers W99/04, Institute for Fiscal Studies.
  8. Manski, Charles F, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," Review of Economic Studies, Wiley Blackwell, vol. 60(3), pages 531-42, July.
  9. Nicholas Bloom & John Van Reenen, 2002. "Patents, Real Options and Firm Performance," Economic Journal, Royal Economic Society, vol. 112(478), pages C97-C116, March.
  10. Wolfgang Keller, 2004. "International Technology Diffusion," Journal of Economic Literature, American Economic Association, vol. 42(3), pages 752-782, September.
  11. Zvi Griliches, 1998. "Issues in Assessing the Contribution of Research and Development to Productivity Growth," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 17-45 National Bureau of Economic Research, Inc.
  12. Bruno Van Pottelsberghe De La Potterie & Frank Lichtenberg, 2001. "Does Foreign Direct Investment Transfer Technology Across Borders?," The Review of Economics and Statistics, MIT Press, vol. 83(3), pages 490-497, August.
  13. repec:fth:harver:1473 is not listed on IDEAS
  14. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," Review of Economic Studies, Oxford University Press, vol. 70(2), pages 317-341.
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