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Patent data as indicators of wind power technology development

Author

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  • Dubaric, Ervin
  • Giannoccaro, Dimitris
  • Bengtsson, Rune
  • Ackermann, Thomas

Abstract

This paper reports a study into the use of patent application numbers as indicators of technological development in the field of wind power technology. We show that patent information can be used to analyse the evolution and the level of maturity of this particular technology. The data is gained from databases available at the Swedish Patent and Registration Office (PRV). Three different segments of wind power technology; rotor form, regulation and pitch adjusting, are distinguished and maturity in respective parts is compared to the general technological progress.

Suggested Citation

  • Dubaric, Ervin & Giannoccaro, Dimitris & Bengtsson, Rune & Ackermann, Thomas, 2011. "Patent data as indicators of wind power technology development," World Patent Information, Elsevier, vol. 33(2), pages 144-149, June.
    • Handle: RePEc:eee:worpat:v:33:y:2011:i:2:p:144-149
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    Cited by:

    1. Esmaelian, Majid & Tavana, Madjid & Di Caprio, Debora & Ansari, Reza, 2017. "A multiple correspondence analysis model for evaluating technology foresight methods," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 188-205.
    2. Rezaeian, M. & Montazeri, H. & Loonen, R.C.G.M., 2017. "Science foresight using life-cycle analysis, text mining and clustering: A case study on natural ventilation," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 270-280.
    3. Yuan Zhou & Xin Li & Rasmus Lema & Frauke Urban, 2016. "Comparing the knowledge bases of wind turbine firms in Asia and Europe: Patent trajectories, networks, and globalisation," Science and Public Policy, Oxford University Press, vol. 43(4), pages 476-491.
    4. Juan Sepúlveda & Adriana Paternina & Andrés Suarez, 2014. "Patent applications as source for measuring technological performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1385-1395, February.
    5. Hernandez-Negron, Christian G. & Baker, Erin & Goldstein, Anna P., 2023. "A hypothesis for experience curves of related technologies with an application to wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    6. Fujii, Hidemichi & Shirakawa, Seiji, 2015. "Decomposition analysis of green chemical technology inventions from 1971 to 2010 in Japan," MPRA Paper 62790, University Library of Munich, Germany.
    7. Nordensvard, Johan & Zhou, Yuan & Zhang, Xiao, 2018. "Innovation core, innovation semi-periphery and technology transfer: The case of wind energy patents," Energy Policy, Elsevier, vol. 120(C), pages 213-227.
    8. Yuan Zhou & Meijuan Pan & Frauke Urban, 2018. "Comparing the International Knowledge Flow of China’s Wind and Solar Photovoltaic (PV) Industries: Patent Analysis and Implications for Sustainable Development," Sustainability, MDPI, vol. 10(6), pages 1-34, June.
    9. Chang, Shu-Hao & Fan, Chin-Yuan, 2016. "Identification of the technology life cycle of telematics: A patent-based analytical perspective," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 1-10.
    10. Adamuthe, Amol C. & Thampi, Gopakumaran T., 2019. "Technology forecasting: A case study of computational technologies," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 181-189.
    11. Shuo Xu & Ling Li & Xin An & Liyuan Hao & Guancan Yang, 2021. "An approach for detecting the commonality and specialty between scientific publications and patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7445-7475, September.
    12. Zhou, Yuanchun & Zhang, Bing & Zou, Ji & Bi, Jun & Wang, Ke, 2012. "Joint R&D in low-carbon technology development in China: A case study of the wind-turbine manufacturing industry," Energy Policy, Elsevier, vol. 46(C), pages 100-108.
    13. Erzurumlu, S. Sinan & Pachamanova, Dessislava, 2020. "Topic modeling and technology forecasting for assessing the commercial viability of healthcare innovations," Technological Forecasting and Social Change, Elsevier, vol. 156(C).
    14. Garsous, Grégoire & Worack, Stephan, 2022. "Technological expertise as a driver of environmental technology diffusion through trade: Evidence from the wind turbine manufacturing industry," Energy Policy, Elsevier, vol. 162(C).
    15. Shuo Xu & Ling Li & Xin An, 2023. "Do academic inventors have diverse interests?," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 1023-1053, February.
    16. Pantano, Eleonora & Priporas, Constantinos-Vasilios & Stylos, Nikolaos, 2018. "Knowledge Push Curve (KPC) in retailing: Evidence from patented innovations analysis affecting retailers' competitiveness," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 150-160.
    17. Islam, M.R. & Mekhilef, S. & Saidur, R., 2013. "Progress and recent trends of wind energy technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 456-468.

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