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Core technologies and key industries in Taiwan from 1978 to 2002: A perspective from patent analysis

Author

Listed:
  • Dar-Zen Chen

    (Department of Mechanical Engineering, National Taiwan University Taipei)

  • Han-Wen Chang

    (Department of Library and Information Science, National Taiwan University)

  • Mu-Hsuan Huang

    (Department of Library and Information Science, National Taiwan University)

  • Feng-Cheng Fu

    (Department of International Business, Yu Da University)

Abstract

Summary This paper uses United States patent classification analysis to study the development of core technologies and key industries in Taiwan over the last 25 years, from 1978 to 2002. After counting the number of Taiwan-held United States granted utility patents, the authors divide the years into three phases: from 1978 to 1994, with less than 500 patents each year; from 1995 to 1999, with 500-2,500 patents each year; from 2000 to 2002, with annual patents greater than 2,500. The results show that for both Taiwan’s core technologies and key industries, there was a great diversity at the first phase, while a mainstream forms and matures at the second and the third phases. However, industrial development at the third phase was more concentrated and focused than previous ones. Overall, Taiwan has clearly moved from a manufacturing-based economy to an innovation-based one, with its focus on high-tech industries during the previous 25 years.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:scient:v:64:y:2005:i:1:d:10.1007_s11192-005-0236-9
    DOI: 10.1007/s11192-005-0236-9
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    Cited by:

    1. Liu, Weiwei & Tao, Yuan & Bi, Kexin, 2022. "Capturing information on global knowledge flows from patent transfers: An empirical study using USPTO patents," Research Policy, Elsevier, vol. 51(5).
    2. 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.
    3. Hyojeong Lim & Yongtae Park, 2010. "Identification of technological knowledge intermediaries," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 543-561, September.
    4. Xiao-Ping Lei & Zhi-Yun Zhao & Xu Zhang & Dar-Zen Chen & Mu-Hsuan Huang & Yun-Hua Zhao, 2012. "The inventive activities and collaboration pattern of university–industry–government in China based on patent analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 231-251, January.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Su Jin Seo & Eun Jin Han & So Young Sohn, 2015. "Trend analysis of academic research and technical development pertaining to gas hydrates," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 905-920, November.
    10. 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.
    11. 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.
    12. Ki Hong Kim & Young Jae Han & Sugil Lee & Sung Won Cho & Chulung Lee, 2019. "Text Mining for Patent Analysis to Forecast Emerging Technologies in Wireless Power Transfer," Sustainability, MDPI, vol. 11(22), pages 1-24, November.
    13. 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.
    14. Yi Zhang & Yue Qian & Ying Huang & Ying Guo & Guangquan Zhang & Jie Lu, 2017. "An entropy-based indicator system for measuring the potential of patents in technological innovation: rejecting moderation," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1925-1946, June.

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