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Visualizing knowledge space: a case study of Chinese licensed technology, 2000–2012

Author

Listed:
  • Yuandi Wang

    (Sichuan University)

  • Xin Pan

    (Sichuan University)

  • Xinyu Wang

    (China University of Mining and Technology)

  • Jin Chen

    (Tsinghua University)

  • Lutao Ning

    (Queen Mary, University of London)

  • Ying Qin

    (Science and Technology Promotion and Development Research Center in Sichuan Province)

Abstract

To explore the rules of knowledge transfer and application activities in knowledge space, defined at both temporal and spatial scales, the present study employs a unique dataset of Chinese patent licensing during the period of 2000–2012, with a total of 91,551 patents. Our results indicate that 70 % of patents were licensed out in the first 3 years. As time elapses, the annual average technology age decreases. There is a moderate difference among different types of licensors and patent types but not technology domains. With regards to the spatial dimension, 86 % of patents were licensed out within 1,000 km. The annual average geographical distance exhibits the same trend as technology age. Except for technology domains, a moderate difference among licensors and patent types is observed. Moreover, the interaction between geographical distance and technology age shows that as the technology age increases, this technology appears to be transferred and applied over greater distances.

Suggested Citation

  • Yuandi Wang & Xin Pan & Xinyu Wang & Jin Chen & Lutao Ning & Ying Qin, 2014. "Visualizing knowledge space: a case study of Chinese licensed technology, 2000–2012," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1935-1954, March.
    • Handle: RePEc:spr:scient:v:98:y:2014:i:3:d:10.1007_s11192-013-1135-0
    DOI: 10.1007/s11192-013-1135-0
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. Xue Yang & Xin Gu & Yuandi Wang & Guangyuan Hu & Li Tang, 2015. "The Matthew effect in China’s science: evidence from academicians of Chinese Academy of Sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2089-2105, March.

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