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An Excursion into the Patent-Bibliometrics of Norwegian Patenting

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  • Eric J. Iversen

    (The Step-Group)

Abstract

This paper makes the assumption that Norwegian patenting in the US reflects a quasi-universe of Norwegian technological capabilities. Based on this assumption, the paper combines a "patent-bibliometrics" and a "technometrics" approach to study other relevant bodies of knowledge these capabilities build upon. In order to study interactions at the "science-technology-innovation interface", the paper maps the citation patterns that radiate from the patent population (1990–96) to other areas of technology (patent-citations) and to science-bases (citations to Non-Patent Literature or NPL). The study identifies important technology-technology links that involve machinery, process-engineering and chemical and significant science-technology links that involve pharmaceuticals and instruments.

Suggested Citation

  • Eric J. Iversen, 2000. "An Excursion into the Patent-Bibliometrics of Norwegian Patenting," Scientometrics, Springer;Akadémiai Kiadó, vol. 49(1), pages 63-80, August.
  • Handle: RePEc:spr:scient:v:49:y:2000:i:1:d:10.1023_a:1005609224740
    DOI: 10.1023/A:1005609224740
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    References listed on IDEAS

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    1. Rémi Barré & Françoise Laville, 1994. "La bibliométrie des brevets : une mesure de l'activité technologique," Économie et Statistique, Programme National Persée, vol. 275(1), pages 71-81.
    2. Basberg, Bjorn L., 1987. "Patents and the measurement of technological change: A survey of the literature," Research Policy, Elsevier, vol. 16(2-4), pages 131-141, August.
    3. Jaffe, Adam B, 1986. "Technological Opportunity and Spillovers of R&D: Evidence from Firms' Patents, Profits, and Market Value," American Economic Review, American Economic Association, vol. 76(5), pages 984-1001, December.
    4. Grupp, Hariolf, 1994. "The measurement of technical performance of innovations by technometrics and its impact on established technology indicators," Research Policy, Elsevier, vol. 23(2), pages 175-193, March.
    5. Grupp, Hariolf, 1996. "Spillover Effects and the Science Base of Innovations Reconsidered: An Empirical Approach," Journal of Evolutionary Economics, Springer, vol. 6(2), pages 175-197, May.
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    Cited by:

    1. Ming-Chao Huang & Shih-Chieh Fang & Shao-Chi Chang, 2011. "Tracking R&D behavior: bibliometric analysis of drug patents in the Orange Book," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 805-818, September.
    2. Manuel Krauskopf & Erwin Krauskopf & Bernardita Méndez, 2007. "Low awareness of the link between science and innovation affects public policies in developing countries: The Chilean case," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(1), pages 93-103, July.
    3. Jiancheng Guan & Ying He, 2007. "Patent-bibliometric analysis on the Chinese science — technology linkages," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(3), pages 403-425, September.
    4. Chihmao Hsieh, 2011. "Explicitly searching for useful inventions: dynamic relatedness and the costs of connecting versus synthesizing," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 381-404, February.

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