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Industry evolution and key technologies in China based on patent analysis

Author

Listed:
  • Jia Zheng

    (Institute of Scientific and Technical Information of China)

  • Zhi-yun Zhao

    (Institute of Scientific and Technical Information of China)

  • Xu Zhang

    (Institute of Scientific and Technical Information of China)

  • Dar-zen Chen

    (National Taiwan University)

  • Mu-hsuan Huang

    (National Taiwan University)

  • Xiao-ping Lei

    (Institute of Scientific and Technical Information of China)

  • Ze-yu Zhang

    (Institute of Scientific and Technical Information of China)

  • Yun-hua Zhao

    (Institute of Scientific and Technical Information of China)

  • Run-sheng Liu

    (Institute of Scientific and Technical Information of China)

Abstract

Patents are the manifestation of the industry’s research and development (R&D) endeavor; therefore, this paper studies the industry evolution of and key technologies in China from the perspective of patent analysis. Patents in six types of industries, including Chemical (excluding Drugs), Computers and Communications, Drugs and Medical, Electrical and Electronics (E&E), Mechanical, and Others are analyzed in this study. Findings from the analysis show a steady increase of US granted utility patents in China as well as percentage of these patents in the world over the period between 2003 and 2008. All the above industries in China have been growing rapidly during this period, which is very different from the global industry development. Despite the rapid development, the citation rates of these patents have been low, reflecting a need for improvement in the quality of patents and R&D performance for these six industries in China in order to exert more influence in the industry world. The analysis on patents also reveals China’s industry distribution to be similar to the global industry distribution, with the exception of E&E industry which weights over one third of the total patents in technologies. The E&E industry is also the field with largest economic growth which rises more rapidly after 2006 with a sudden increase of patents in USPC 361. Detailed tracking of the key technology evolution reveals that 90% of the newly issued patents in USPC 361 after 2006 are owned by Foxconn Technology Co., Ltd, pointing to an unbalanced R&D environment in China’s E&E industry sector. By providing the insight into the evolution of China’s industrial and technological development through the perspective of patent analysis, this paper hopes to provide an objective statistic reference for future policy directions and academic researches.

Suggested Citation

  • Jia Zheng & Zhi-yun Zhao & Xu Zhang & Dar-zen Chen & Mu-hsuan Huang & Xiao-ping Lei & Ze-yu Zhang & Yun-hua Zhao & Run-sheng Liu, 2011. "Industry evolution and key technologies in China based on patent analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(1), pages 175-188, April.
  • Handle: RePEc:spr:scient:v:87:y:2011:i:1:d:10.1007_s11192-010-0316-3
    DOI: 10.1007/s11192-010-0316-3
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    References listed on IDEAS

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    1. Bronwyn H. Hall & Adam B. Jaffe & Manuel Trajtenberg, 2001. "The NBER Patent Citation Data File: Lessons, Insights and Methodological Tools," NBER Working Papers 8498, National Bureau of Economic Research, Inc.
    2. Icíar Dominguez Lacasa & Hariolf Grupp & Ulrich Schmoch, 2003. "Tracing technological change over long periods in Germany in chemicals using patent statistics," Scientometrics, Springer;Akadémiai Kiadó, vol. 57(2), pages 175-195, June.
    3. Dar-Zen Chen & Han-Wen Chang & Mu-Hsuan Huang & Feng-Cheng Fu, 2005. "Core technologies and key industries in Taiwan from 1978 to 2002: A perspective from patent analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 64(1), pages 31-53, July.
    4. 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.
    5. Martin Meyer, 2007. "What do we know about innovation in nanotechnology? Some propositions about an emerging field between hype and path-dependency," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(3), pages 779-810, March.
    6. 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.
    7. Mendona, Sandro, 2009. "Brave old world: Accounting for 'high-tech' knowledge in 'low-tech' industries," Research Policy, Elsevier, vol. 38(3), pages 470-482, April.
    8. Sujit Bhattacharya, 2004. "Mapping inventive activity and technological change through patent analysis: A case study of India and China," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(3), pages 361-381, November.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Xiao Zhou & Yi Zhang & Alan L. Porter & Ying Guo & Donghua Zhu, 2014. "A patent analysis method to trace technology evolutionary pathways," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(3), pages 705-721, September.
    2. Hong Wu & Huifang Yi & Chang Li, 2021. "An integrated approach for detecting and quantifying the topic evolutions of patent technology: a case study on graphene field," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6301-6321, August.
    3. Wei Yang & Xiang Yu & Dian Wang & Jinrui Yang & Ben Zhang, 2021. "Spatio-temporal evolution of technology flows in China: patent licensing networks 2000–2017," The Journal of Technology Transfer, Springer, vol. 46(5), pages 1674-1703, October.
    4. Slavo Radosevic & Esin Yoruk, 2014. "Are there global shifts in the world science base? Analysing the catching up and falling behind of world regions," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1897-1924, December.
    5. Iciar Dominguez Lacasa & Alexander Giebler & Slavo Radošević, 2017. "Technological capabilities in Central and Eastern Europe: an analysis based on priority patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 83-102, April.
    6. Nestor Gandelman & Osiris J. Parcero & Matilde Pereira & Flavia Roldán, 2021. "Ventajas comparativas reveladas en disciplinas científicas y tecnológicas en Uruguay," Documentos de Investigación 125, Universidad ORT Uruguay. Facultad de Administración y Ciencias Sociales.

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