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National Patterns of Technology Accumulation: Use of Patent Statistics

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  • Lionel Nesta

    (OFCE - Observatoire français des conjonctures économiques (Sciences Po) - Sciences Po - Sciences Po)

  • Parimal Patel

Abstract

We use US Patent Statistics to depict national patterns of technology accumulation in Japan and EU countries. Two properties of country profiles are confirmed, namely, stability over time with a country and differentiation across countries. The main novelty introduced here is the combined analysis of overall technological advantage, performance in fast growing areas and impact. The results show that in many areas of technology in which EU countries have an overall relative advantage, their performance in the subfields of highest technological opportunity is weak. On the other hand, Japan seems to have a consistent level of performance both in aggregate and in fast growing areas.

Suggested Citation

  • Lionel Nesta & Parimal Patel, 2004. "National Patterns of Technology Accumulation: Use of Patent Statistics," SciencePo Working papers Main hal-03610885, HAL.
    • Handle: RePEc:hal:spmain:hal-03610885
    Note: View the original document on HAL open archive server: https://hal-sciencespo.archives-ouvertes.fr/hal-03610885
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    Cited by:

    1. Rinaldo Evangelista & Valentina Meliciani & Antonio Vezzani, 2016. "The Distribution of Technological Activities in Europe: A Regional Perspective," JRC Research Reports JRC102435, Joint Research Centre.
    2. Elba Mauleón & María Bordons, 2010. "Male and female involvement in patenting activity in Spain," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(3), pages 605-621, June.
    3. Daniel Sommer & Bernd Ebersberger, 2021. "International R&D teams: Performance effects and the moderating role of technological competences," Economics Bulletin, AccessEcon, vol. 41(2), pages 387-397.
    4. Wong, Chan-Yuan & Wang, Lili, 2015. "Trajectories of science and technology and their co-evolution in BRICS: Insights from publication and patent analysis," Journal of Informetrics, Elsevier, vol. 9(1), pages 90-101.
    5. Rainer Frietsch & Ulrich Schmoch, 2010. "Transnational patents and international markets," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(1), pages 185-200, January.
    6. Ye, Yucheng & Xu, Shuqi & Mariani, Manuel Sebastian & Lü, Linyuan, 2022. "Forecasting countries' gross domestic product from patent data," Chaos, Solitons & Fractals, Elsevier, vol. 160(C).
    7. Schmoch, Ulrich, 2007. "Double-boom cycles and the comeback of science-push and market-pull," Research Policy, Elsevier, vol. 36(7), pages 1000-1015, September.
    8. Rinaldo Evangelista & Valentina Meliciani & Antonio Vezzani, 2015. "The Specialisation of EU Regions in Fast Growing and Key Enabling Technologies," JRC Research Reports JRC98111, Joint Research Centre.
    9. Rinaldo Evangelista & Valentina Meliciani & Antonio Vezzani, 2019. "Fast Growing and Key Enabling Technologies and their impact on regional growth inEurope," Working Papers 42, Birkbeck Centre for Innovation Management Research, revised Feb 2021.

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