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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 ?

Author

Listed:
  • Marc Baudry

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

  • Béatrice Dumont

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

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.

Suggested Citation

  • Marc Baudry & Béatrice Dumont, 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 ?," Post-Print halshs-00009908, HAL.
  • Handle: RePEc:hal:journl:halshs-00009908
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    Cited by:

    1. 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.
    2. Romagnoli, Matteo, 2024. "Clean sweep: Electricity liberalization and the direction of technological change in the electricity sector," Research Policy, Elsevier, vol. 53(8).
    3. 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.
    4. 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, March.
    5. Lee, Won Sang & Sohn, So Young, 2018. "Effects of standardization on the evolution of information and communications technology," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 308-317.
    6. Kornelius Kraft & Jörg Stank & Ralf Dewenter, 2011. "Co-determination and innovation," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 35(1), pages 145-172.
    7. Capaldo, Antonio & Messeni Petruzzelli, Antonio, 2011. "In search of alliance-level relational capabilities: Balancing innovation value creation and appropriability in R&D alliances," Scandinavian Journal of Management, Elsevier, vol. 27(3), pages 273-286, September.
    8. 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.
    9. 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.
    10. 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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