Comparing firms' triadic patent applications across countries: Is there a gap in terms of R&D effort or a gap in terms of performances?
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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- 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.
- 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.
- Crepon, B. & Duguet, E., 1995. "Research and Development, Competition and Innovation; Pseudo Maximum Likelihood and Simulated Maximum Likelihood Methods Applied to Count Data Models with Heterogeneity," Papiers d'Economie MathÃ©matique et Applications 95.08, UniversitÃ© PanthÃ©on-Sorbonne (Paris 1).
- Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
- 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.
- Jerry A. Hausman & Bronwyn H. Hall & Zvi Griliches, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," NBER Technical Working Papers 0017, National Bureau of Economic Research, Inc.
- 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. Full references (including those not matched with items on IDEAS)