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Using patent statistics as knowledge base indicators in the biotechnology sectors: An application to France, Germany and the U.K

Author

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  • Shyama V. Ramani

    (Universite Pierre Mendes France)

  • Marie-Angele de Looze

    (Grenoble Unit Université Pierre Mendès France)

Abstract

In order to formulate firm, national or regional technology policy, it is necessary to have indicators that can measure technological competence. This paper develops a set of indicators using patent statistics to compare the “knowledge base” of individuals, laboratories, firms or nations. These indicators are then applied to the patent applications in France, Germany and the U.K. in the biotechnology sectors. The paper shows that France is lagging behind Germany and the U.K. in technology stocks (or its patent applications) in all biotechnology fields. However it is the leader in the technology network supporting the foods industry. It has a comparative advantage in terms of either technology stock counts or networks in Genetic Engineering, Pharmaceuticals, Foods, Chemicals, Cell Culture and Biocatalysis. Germany is leading in many sectors, but in all sectors in which it is a leader, it is a specialized leader, i.e. its technology networks need to be more extensive. It has a comparative advantage in terms of either technology stock counts or networks in all sectors except Genetic Engineering, Pharmaceuticals, Agriculture and Cell Culture. The U.K. is the leader in the important field of Genetic Engineering and in terms of the entire technology networks in the biotechnology sectors. It has a comparative advantage in terms of either technology stock counts or networks in Genetic Engineering, Pharmaceuticals, Agriculture and Purification.

Suggested Citation

  • Shyama V. Ramani & Marie-Angele de Looze, 2002. "Using patent statistics as knowledge base indicators in the biotechnology sectors: An application to France, Germany and the U.K," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(3), pages 319-346, July.
  • Handle: RePEc:spr:scient:v:54:y:2002:i:3:d:10.1023_a:1016026314914
    DOI: 10.1023/A:1016026314914
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    References listed on IDEAS

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    1. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343, National Bureau of Economic Research, Inc.
    2. Albert, M. B. & Avery, D. & Narin, F. & McAllister, P., 1991. "Direct validation of citation counts as indicators of industrially important patents," Research Policy, Elsevier, vol. 20(3), pages 251-259, June.
    3. repec:fth:harver:1473 is not listed on IDEAS
    4. Stéphane Lemarié & Marie-Angèle de Looze & Vincent Mangematin, 2000. "Strategies of European SMEs in Biotechnology: The Role of Size, Technology and Market," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(3), pages 541-560, March.
    5. Pavitt, Keith & Patel, Pari, 1988. "The International Distribution and Determinants of Technological Activities," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 4(4), pages 35-55, Winter.
    6. Parthasarathi Banerjee & B. M. Gupta & K. C. Garg, 2000. "Patent Statistics as Indicators of Competition an Analysis of Patenting in Biotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(1), pages 95-116, January.
    7. Carpenter, Mark P. & Narin, Francis & Woolf, Patricia, 1981. "Citation rates to technologically important patents," World Patent Information, Elsevier, vol. 3(4), pages 160-163, October.
    8. Narin, Francis & Noma, Elliot & Perry, Ross, 1987. "Patents as indicators of corporate technological strength," Research Policy, Elsevier, vol. 16(2-4), pages 143-155, August.
    9. Shyama V. Ramani & Marie-Angele de Looze, 2000. "A Note on Using Patent Statistics to Obtain Competition Indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 49(3), pages 511-515, November.
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    Cited by:

    1. Szu-chia Lo, 2007. "Patent analysis of genetic engineering research in Japan, Korea and Taiwan," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(1), pages 183-200, January.
    2. Ba, Zhichao & Mao, Jin & Ma, Yaxue & Liang, Zhentao, 2021. "Exploring the effect of city-level collaboration and knowledge networks on innovation: Evidence from energy conservation field," Journal of Informetrics, Elsevier, vol. 15(3).
    3. Alireza Noruzi & Mohammadhiwa Abdekhoda, 2012. "Mapping Iranian patents based on International Patent Classification (IPC), from 1976 to 2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 847-856, December.
    4. Zifeng Chen & Jiancheng Guan, 2011. "Mapping of biotechnology patents of China from 1995–2008," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 73-89, July.
    5. Mee-Jean Kim, 2007. "A bibliometric analysis of the effectiveness of Korea’s Biotechnology Stimulation Plans, with a comparison with four other Asian nations," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(3), pages 371-388, September.
    6. Kwangsoo Shin & Sang Ji Kim & Gunno Park, 2016. "How does the partner type in R&D alliances impact technological innovation performance? A study on the Korean biotechnology industry," Asia Pacific Journal of Management, Springer, vol. 33(1), pages 141-164, March.
    7. Wolfgang Glänzel & Ping Zhou, 2011. "Publication activity, citation impact and bi-directional links between publications and patents in biotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 505-525, February.
    8. Xianwen Wang & Xi Zhang & Shenmeng Xu, 2011. "Patent co-citation networks of Fortune 500 companies," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 761-770, September.
    9. 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.
    10. Mila Cascajares & Alfredo Alcayde & José Antonio Garrido-Cardenas & Francisco Manzano-Agugliaro, 2020. "The Contribution of Spanish Science to Patents: Medicine as Case of Study," IJERPH, MDPI, vol. 17(10), pages 1-24, May.
    11. Guktae Kim & Moon-Goo Huh, 2015. "Exploration and organizational longevity: The moderating role of strategy and environment," Asia Pacific Journal of Management, Springer, vol. 32(2), pages 389-414, June.

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