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Tracing technological change over long periods in Germany in chemicals using patent statistics

Author

Listed:
  • Icíar Dominguez Lacasa

    (Fraunhofer Institute for Systems and Innovation Research (ISI))

  • Hariolf Grupp

    (Fraunhofer Institute for Systems and Innovation Research (ISI))

  • Ulrich Schmoch

    (Fraunhofer Institute for Systems and Innovation Research (ISI))

Abstract

This contribution deepens the feasibility issues of building state-of-the-art patent indicators with historical patent documents available in electronic form from the German Patent Office since the introduction of the Patent Law for the German Empire in 1877. The paper is divided into two parts: a methodological discussion and a case study on the chemical sector in Germany. The development of the technology sector defined matches remarkably well with stylised facts that institutional analysis in the chemical sector have provided us with so far. Moreover, the possibility of varying the level of aggregation in the analysis of technological areas discloses empirical evidence for the path-dependent development in the chemical sector after the advent of the organic chemistry and its application in the chemical synthesis of dye stuffs. Our findings enhance institutional and historical contributions about technological change in the chemical sector and suggest new research questions for innovation studies.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:scient:v:57:y:2003:i:2:d:10.1023_a:1024133517484
    DOI: 10.1023/A:1024133517484
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    Cited by:

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    2. 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.
    3. Lai, Kuei-Kuei & Chen, Yu-Long & Kumar, Vimal & Daim, Tugrul & Verma, Pratima & Kao, Fang-Chen & Liu, Ruirong, 2023. "Mapping technological trajectories and exploring knowledge sources: A case study of E-payment technologies," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
    4. Junmo Kim & Juneseuk Shin, 2018. "Mapping extended technological trajectories: integration of main path, derivative paths, and technology junctures," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1439-1459, September.
    5. 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.
    6. 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.
    7. 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.
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    10. 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.
    11. Schmoch, Ulrich, 2007. "Double-boom cycles and the comeback of science-push and market-pull," Research Policy, Elsevier, vol. 36(7), pages 1000-1015, September.
    12. 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.
    13. Woo, Seokkyun & Youtie, Jan & Ott, Ingrid & Scheu, Fenja, 2021. "Understanding the long-term emergence of autonomous vehicles technologies," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    14. 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.
    15. Hwang, Seonho & Shin, Juneseuk, 2019. "Extending technological trajectories to latest technological changes by overcoming time lags," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 142-153.
    16. 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.
    17. Terrazas-Santamaria Diana & Mendoza-Palacios Saul & Berasaluce-Iza Julen, 2023. "An Alternative Approach to Frequency of Patent Technology Codes: The Case of Renewable Energy Generation," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 17(1), pages 1-14, January.
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