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Factor Intensities, Rates of Return, and International R&D Spillovers: The Case of Canadian and U.S. Industries

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  • Jeffrey Bernstein

Abstract

This paper estimates the effects of both intranational and international spillovers on production cost, and factor intensities (including R&D intensity) for eleven manufacturing industries in the U.S., and Canada. In addition, social rates of return to R&D capital are calculated, and decomposed into private rates of return, and the extra-returns due to intranational and international spillovers. International spillovers are usually cost reducing, and increase R&D and physical capital intensities. International spilovers are generally labor and intermediate input intensity reducing. In Canada, international spillover effects are more elastic than domestic spillover elasticities. In the U.S. the same relationship exists, but is not as pronounced. Social rates of return to R&D capital are substantially above the private rates in both Canada and U.S. In Canada, international spillovers generally account for a greater percentage of the social returns relative to the domestic spillovers. In the U.S. the converse occurs. Canadian social rates are from two and a half to twelve times greater than private returns, while U.S. social returns are from three and a half to ten times greater than the private rates.

Suggested Citation

  • Jeffrey Bernstein, 1998. "Factor Intensities, Rates of Return, and International R&D Spillovers: The Case of Canadian and U.S. Industries," Annals of Economics and Statistics, GENES, issue 49-50, pages 541-564.
  • Handle: RePEc:adr:anecst:y:1998:i:49-50:p:541-564
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    Cited by:

    1. Hall, Bronwyn H. & Mairesse, Jacques & Mohnen, Pierre, 2010. "Measuring the Returns to R&D," Handbook of the Economics of Innovation, Elsevier.
    2. Raquel Ortega-Argilés, 2013. "R&D, knowledge, economic growth and the transatlantic productivity gap," Chapters,in: Handbook of Industry Studies and Economic Geography, chapter 11, pages 271-302 Edward Elgar Publishing.
    3. Ana Lara GÓMEZ, 2015. "Technological Spillovers of Research Infrastructures," Departmental Working Papers 2015-18, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    4. Cohen, Jeffrey P. & Morrison Paul, Catherine J., 2001. "Spatial And Supply/Demand Agglomeration Economies: An Evaluation Of State-And-Industry-Linkages In The U.S. Food System," Working Papers 11982, University of California, Davis, Department of Agricultural and Resource Economics.
    5. Timo Mitze & Björn Alecke, 2011. "Welche Rolle spielt externes Wissen für die sektorale Technologieentwicklung?: Eine empirische Analyse zur Identifikation intersektoraler FuE-Spillovers," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 80(3), pages 167-180.
    6. W. Diewert & Alice Nakamura, 2003. "Index Number Concepts, Measures and Decompositions of Productivity Growth," Journal of Productivity Analysis, Springer, vol. 19(2), pages 127-159, April.
    7. Catherine Morrison Paul, 2003. "Productivity and Efficiency Measurement in Our “New Economy”: Determinants, Interactions, and Policy Relevance," Journal of Productivity Analysis, Springer, vol. 19(2), pages 161-177, April.

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