IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v87y2011i1d10.1007_s11192-010-0316-3.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-010-0316-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11192-010-0316-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Gabjin Oh & Ho-Yong Kim & Ayoung Park, 2017. "Analysis of technological innovation based on citation information," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 1065-1091, May.
    3. Hyojeong Lim & Yongtae Park, 2010. "Identification of technological knowledge intermediaries," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 543-561, September.
    4. Shin, Juneseuk & Park, Yongtae, 2007. "Building the national ICT frontier: The case of Korea," Information Economics and Policy, Elsevier, vol. 19(2), pages 249-277, June.
    5. Sanghoon Lee & Wonjoon Kim, 2017. "The knowledge network dynamics in a mobile ecosystem: a patent citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 717-742, May.
    6. Ying Huang & Donghua Zhu & Yue Qian & Yi Zhang & Alan L. Porter & Yuqin Liu & Ying Guo, 2017. "A hybrid method to trace technology evolution pathways: a case study of 3D printing," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 185-204, April.
    7. Seh-Hyun Yoo & Chang-Yang Lee, 2023. "Technological diversification, technology portfolio properties, and R&D productivity," The Journal of Technology Transfer, Springer, vol. 48(6), pages 2074-2105, December.
    8. Yoonhwan Oh & Jungsub Yoon & Jeong-Dong Lee, 2016. "Evolutionary Patterns of Renewable Energy Technology Development in East Asia (1990–2010)," Sustainability, MDPI, vol. 8(8), pages 1-24, July.
    9. Jun Peng Yuan & Wei Ping Yue & Cheng Su & Zheng Wu & Zheng Ma & Yun Tao Pan & Nan Ma & Zhi Yu Hu & Fei Shi & Zheng Lu Yu & Yi Shan Wu, 2010. "Patent activity on water pollution and treatment in China—a scientometric perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(3), pages 639-651, June.
    10. Ta-Shun Cho & Hsin-Yu Shih, 2011. "Patent citation network analysis of core and emerging technologies in Taiwan: 1997–2008," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 795-811, December.
    11. Ke, Qing, 2020. "An analysis of the evolution of science-technology linkage in biomedicine," Journal of Informetrics, Elsevier, vol. 14(4).
    12. Jennifer H. Chen & Show-Ling Jang & Sonya H. Wen, 2010. "Measuring technological diversification: identifying the effects of patent scale and patent scope," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 265-275, July.
    13. Qingjun Zhao & Jiancheng Guan, 2013. "Love dynamics between science and technology: some evidences in nanoscience and nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 113-132, January.
    14. Jia Zheng & Zhi-Yun Zhao & Xu Zhang & Dar-Zen Chen & Mu-Hsuan Huang & Xiao-Ping Lei & Ze-Yu Zhang & Yun-Hua Zhao, 2012. "International scientific and technological collaboration of China from 2004 to 2008: a perspective from paper and patent analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 65-80, April.
    15. Huang, Hung-Chun & Su, Hsin-Ning, 2019. "The innovative fulcrums of technological interdisciplinarity: An analysis of technology fields in patents," Technovation, Elsevier, vol. 84, pages 59-70.
    16. Hyunseok Park & Janghyeok Yoon, 2014. "Assessing coreness and intermediarity of technology sectors using patent co-classification analysis: the case of Korean national R&D," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 853-890, February.
    17. Manuel Ammann & Philipp Horsch & David Oesch, 2016. "Competing with Superstars," Management Science, INFORMS, vol. 62(10), pages 2842-2858, October.
    18. Guan-Can Yang & Gang Li & Chun-Ya Li & Yun-Hua Zhao & Jing Zhang & Tong Liu & Dar-Zen Chen & Mu-Hsuan Huang, 2015. "Using the comprehensive patent citation network (CPC) to evaluate patent value," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1319-1346, December.
    19. Pauly, Stefan & Stipanicic, Fernando, 2021. "The creation and diffusion of knowledge: Evidence from the Jet Age," CEPREMAP Working Papers (Docweb) 2112, CEPREMAP.
    20. Suma Athreye & Martha Prevezer, 2008. "R&D offshoring and the domestic science base in India and China," Working Papers 26, Queen Mary, University of London, School of Business and Management, Centre for Globalisation Research.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:87:y:2011:i:1:d:10.1007_s11192-010-0316-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.