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Comparing firms' triadic patent applications across countries: Is there a gap in terms of R&D effort or a gap in terms of performances?

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  • Baudry, Marc
  • Dumont, Beatrice

Abstract

This paper addresses the question of national differences as regard the number of triadic patents applied for by inventors from several OECD countries. The key idea is to determine whether such differences should be attributed to differences in R&D expenditures or rather to some other reasons, mainly institutional or behavioural ones. With this aim in view, both a macro-economic analysis, based on aggregate data for triadic patent counts and R&D expenditures and a micro-economic analysis based on firms' data from three selected sectors are performed. In both cases, the methodological focus is made on the introduction, the definition and the estimation of a national index of relative efficiency in standard count data models. The main empirical findings are that there is a strong heterogeneity in terms of performance among European countries and a strong intra-country heterogeneity among sectors. This suggests that, in the field of innovation policies, there is a need for “tailored” solutions reflecting the specificities of each innovation system. Moreover, we show that European countries over-perform the United States in some high-tech sectors where the leadership of American firms is traditionally alleged, whereas European firms fail to keep up in more traditional sectors.
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  • Baudry, Marc & Dumont, Beatrice, 2006. "Comparing firms' triadic patent applications across countries: Is there a gap in terms of R&D effort or a gap in terms of performances?," Research Policy, Elsevier, vol. 35(2), pages 324-342, March.
  • Handle: RePEc:eee:respol:v:35:y:2006:i:2:p:324-342
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    References listed on IDEAS

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    1. Lanjouw, Jean O & Schankerman, Mark, 2001. "Characteristics of Patent Litigation: A Window on Competition," RAND Journal of Economics, The RAND Corporation, vol. 32(1), pages 129-151, Spring.
    2. Crepon, Bruno & Duguet, Emmanuel, 1997. "Research and development, competition and innovation pseudo-maximum likelihood and simulated maximum likelihood methods applied to count data models with heterogeneity," Journal of Econometrics, Elsevier, vol. 79(2), pages 355-378, August.
    3. Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
    4. 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 909-938, July.
    5. Jerry Sheehan & Andrew Wyckoff, 2003. "Targeting R&D: Economic and Policy Implications of Increasing R&D Spending," OECD Science, Technology and Industry Working Papers 2003/8, OECD Publishing.
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    Cited by:

    1. Kornelius Kraft & Jörg Stank & Ralf Dewenter, 2011. "Co-determination and innovation," Cambridge Journal of Economics, Oxford University Press, vol. 35(1), pages 145-172.
    2. Alfons Palangkaraya, 2010. "Patent Application Databases," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 43(1), pages 77-87.
    3. Alexandre Almeida & Aurora A.C. Teixeira, 2007. "Does Patenting negatively impact on R&D investment?An international panel data assessment," FEP Working Papers 255, Universidade do Porto, Faculdade de Economia do Porto.
    4. Huang, Can & Jacob, Jojo, 2014. "Determinants of quadic patenting: Market access, imitative threat, competition and strength of intellectual property rights," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 4-16.
    5. Alexandre Almeida & Aurora A.C. Teixeira, 2008. "One size does not fit all… An economic development perspective on the asymmetric impact of Patents on R&D," FEP Working Papers 292, Universidade do Porto, Faculdade de Economia do Porto.
    6. Kim, Gabjo & Bae, Jinwoo, 2017. "A novel approach to forecast promising technology through patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 228-237.
    7. repec:eee:tefoso:v:132:y:2018:i:c:p:308-317 is not listed on IDEAS
    8. Lee, Won Sang & Han, Eun Jin & Sohn, So Young, 2015. "Predicting the pattern of technology convergence using big-data technology on large-scale triadic patents," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 317-329.

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