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Patent families as macro level patent value indicators: applying weights to account for market differences

Author

Listed:
  • Peter Neuhäusler

    (Competence Center Policy and Regions
    Berlin University of Technology)

  • Rainer Frietsch

    (Competence Center Policy and Regions)

Abstract

This paper introduces a methodology for the construction of a country level patent value indicator based on the family size of a country’s patent profile at the level of technology fields. Because individual family members target different markets and technologies have a different propensity to internationalization, family size has been shown to have a restricted power to assess the quality of patent profiles of countries. We address this gap by weighting the members of patent families filed at different patent offices before calculating the family size indicators, to account for the market potential in which the patents of these families were filed. We apply different weighting schemes and test which scheme is best able to explain the export performance of countries. In order to conduct our analyses, a panel dataset, consisting of annual data (1990–2002) on international trade from the UN-COMTRADE database and patent data from the “EPO Worldwide Patent Statistical Database” (PATSTAT), was compiled. Several bivariate analyses reveal that weighted and unweighted family counts are highly correlated, meaning that statistics based on absolute (weighted or unweighted) family counts are barely affected by the chosen weighting factor. This, however, is different when using the average family size, where weighting the family members by imports, as well as GDP, can be shown to have a robust positive effect to explaining export performance. The imports and the GDP weighted average family size are thus able to act as a consistent indicator of patent value at the country and technology field level.

Suggested Citation

  • Peter Neuhäusler & Rainer Frietsch, 2013. "Patent families as macro level patent value indicators: applying weights to account for market differences," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 27-49, July.
  • Handle: RePEc:spr:scient:v:96:y:2013:i:1:d:10.1007_s11192-012-0870-y
    DOI: 10.1007/s11192-012-0870-y
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    References listed on IDEAS

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    Citations

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    Cited by:

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    2. Lai, Kuei-Kuei & Bhatt, Priyanka C. & Kumar, Vimal & Chen, Hsueh-Chen & Chang, Yu-Hsin & Su, Fang-Pei, 2021. "Identifying the impact of patent family on the patent trajectory: A case of thin film solar cells technological trajectories," Journal of Informetrics, Elsevier, vol. 15(2).
    3. Hui-Yun Sung & Chun-Chieh Wang & Dar-Zen Chen & Mu-Hsuan Huang, 2014. "A comparative study of patent counts by the inventor country and the assignee country," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 577-593, August.
    4. Jianhua Hou & Xiucai Yang & Haoyang Song & Haiyue Yao, 2023. "Will patent family be dormant? Research on the identification and characteristics of sleeping beauty’s patent family," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5361-5387, October.
    5. Patricia Laurens & Christian Le Bas & Antoine Schoen, 2019. "Worldwide IP coverage of patented inventions in large pharma firms: to what extent do the internationalisation of R&D and firm strategy matter?," Post-Print hal-01725229, HAL.
    6. Mohd Shadab Danish & Pritam Ranjan & Ruchi Sharma, 2021. "Identification of “Valuable” Technologies via Patent Statistics in India: An Analysis Based on Renewal Information," BASE University Working Papers 13/2021, BASE University, Bengaluru, India.

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