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The 'home advantage' effect and patent families. A comparison of OECD triadic patents, the USPTO and the EPO

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  • Paola Criscuolo

    (Tanaka Business School, Imperial College London)

Abstract

Summary This paper examines the extent of the 'home advantage' effect in the USPTO and the EPO patent data and in the OECD triadic patent families. By comparing a set of internationalisation indicators for a sample of European, US and Japanese MNEs it finds that, contrary to what is often assumed, this effect is not only present in the USPTO but also in the EPO. OECD triadic patent data, instead, are not biased towards any particular home country. It also finds that, because MNEs do not systematically file their patents with the EPO, the USPTO and the JPO, the OECD triadic patent family dataset excludes many patents, especially those invented in the US and accounted for in the USPTO, though it is mainly only low-value patents that are excluded. Thus OECD triadic patents can be considered a satisfactory alternative to the USPTO and the EPO for measuring R&D internationalisation.

Suggested Citation

  • Paola Criscuolo, 2006. "The 'home advantage' effect and patent families. A comparison of OECD triadic patents, the USPTO and the EPO," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(1), pages 23-41, January.
    • Handle: RePEc:spr:scient:v:66:y:2006:i:1:d:10.1007_s11192-006-0003-6
    DOI: 10.1007/s11192-006-0003-6
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    Cited by:

    1. Yoon, Byungun & Magee, Christopher L., 2018. "Exploring technology opportunities by visualizing patent information based on generative topographic mapping and link prediction," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 105-117.
    2. Gregory J Hather & Winston Haynes & Roger Higdon & Natali Kolker & Elizabeth A Stewart & Peter Arzberger & Patrick Chain & Dawn Field & B Robert Franza & Biaoyang Lin & Folker Meyer & Vural Ozdemir & , 2010. "The United States of America and Scientific Research," PLOS ONE, Public Library of Science, vol. 5(8), pages 1-9, August.
    3. Elia, Stefano & Messeni Petruzzelli, Antonio & Piscitello, Lucia, 2019. "The impact of cultural diversity on innovation performance of MNC subsidiaries in strategic alliances," Journal of Business Research, Elsevier, vol. 98(C), pages 204-213.
    4. Orsatti, Gianluca & Quatraro, Francesco & Pezzoni, Michele, 2020. "The antecedents of green technologies: The role of team-level recombinant capabilities," Research Policy, Elsevier, vol. 49(3).
    5. Eunkwang Seo & Hyo Kang & Jaeyong Song, 0. "Blending talents for innovation: Team composition for cross-border R&D collaboration within multinational corporations," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 0, pages 1-35.
    6. Pieter E. Stek, 2021. "Identifying spatial technology clusters from patenting concentrations using heat map kernel density estimation," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 911-930, February.
    7. Junhee Bae & Yanghon Chung & Hyesoo Ko, 2021. "Analysis of efficiency in public research activities in terms of knowledge spillover: focusing on earthquake R&D accomplishments," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(2), pages 2249-2264, September.
    8. KURODA Sachiko & YAMAMOTO Isamu, 2009. "How are Hours Worked and Wages Affected by Labor Regulations?: The white-collar exemption and 'name-only managers' in Japan," Discussion papers 09031, Research Institute of Economy, Trade and Industry (RIETI).
    9. Kerstin J. Schaefer & Ingo Liefner, 2017. "Offshore versus domestic: Can EM MNCs reach higher R&D quality abroad?," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1349-1370, December.
    10. Loet Leydesdorff & Floortje Alkemade & Gaston Heimeriks & Rinke Hoekstra, 2015. "Patents as instruments for exploring innovation dynamics: geographic and technological perspectives on “photovoltaic cells”," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 629-651, January.
    11. Grazia Cecere & Nicoletta Corrocher, 2016. "Stringency of regulation and innovation in waste management: an empirical analysis on EU countries," Industry and Innovation, Taylor & Francis Journals, vol. 23(7), pages 625-646, October.
    12. Loet Leydesdorff & Lutz Bornmann, 2012. "Mapping (USPTO) patent data using overlays to Google Maps," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(7), pages 1442-1458, July.
    13. Bruns, Stephan B. & Kalthaus, Martin, 2020. "Flexibility in the selection of patent counts: Implications for p-hacking and evidence-based policymaking," Research Policy, Elsevier, vol. 49(1).
    14. John P. WALSH & NAGAOKA Sadao, 2009. "Who Invents?: Evidence from the Japan-U.S. inventor survey," Discussion papers 09034, Research Institute of Economy, Trade and Industry (RIETI).
    15. Gaétan de Rassenfosse & Reza Hosseini, 2020. "Discrimination against foreigners in the U.S. patent system," Journal of International Business Policy, Palgrave Macmillan, vol. 3(4), pages 349-366, December.
    16. Zhou, Yuan & Dong, Fang & Kong, Dejing & Liu, Yufei, 2019. "Unfolding the convergence process of scientific knowledge for the early identification of emerging technologies," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 205-220.
    17. Sommer, Daniel & Bhandari, Krishna Raj, 2022. "Internationalization of R&D and Innovation Performance in the Pharma Industry," Journal of International Management, Elsevier, vol. 28(3).
    18. Jin, Byungchae, 2019. "Country-level technological disparities, market feedback, and scientists’ choice of technologies," Research Policy, Elsevier, vol. 48(1), pages 385-400.
    19. Wilfred Dolfsma, 2008. "Innovation Systems as Patent Networks," Working Papers id:1651, eSocialSciences.
    20. Wenjing Zhu & Bohong Ma & Lele Kang, 2022. "Technology convergence among various technical fields: improvement of entropy estimation in patent analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7731-7750, December.
    21. Fernández, Ana María & Ferrándiz, Esther & Medina, Jennifer, 2022. "The diffusion of energy technologies. Evidence from renewable, fossil, and nuclear energy patents," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    22. Loet Leydesdorff & Caroline Wagner, 2009. "Is the United States losing ground in science? A global perspective on the world science system," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(1), pages 23-36, January.

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