Comparing the knowledge bases of wind turbine firms in Asia and Europe: Patent trajectories, networks, and globalisation

Yuan Zhou, Xin Li, Rasmus Lema, Frauke Urban

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48 Citations (Scopus)
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Abstract

This study uses patent analyses to compare the knowledge bases of leading wind turbine firms in Asia and Europe. It concentrates on the following three aspects: the trajectories of key technologies, external knowledge networks, and the globalisation of knowledge application. Our analyses suggest that the knowledge bases differ significantly between leading wind turbine firms in Europe and Asia. Europe’s leading firms have broader and deeper knowledge bases than their Asian counterparts. In contrast, the leading Chinese firms, with their unidirectional knowledge networks, are highly domestic in orientation with respect to the application of new knowledge. However, Suzlon, the leading Indian firm, has a better knowledge position. While our quantitative analysis validates prior qualitative studies it also brings new insights. The study suggests that European firms are still leaders in this industry, and leading Asian firms are unlikely to create new pathways that will disrupt the incumbents in the near future.
Original languageEnglish
JournalScience and Public Policy
Volume43
Issue number4
Pages (from-to)476-491
Number of pages16
ISSN0302-3427
DOIs
Publication statusPublished - 2016

Bibliographical note

Funding Information:
This research was supported by the joint project 'Technological Trajectories for Climate Change Mitigation in China, Europe and India' funded by the Svenska Riksbankens Jubileumsfond. This research was also supported by the National Natural Science Foundation of China (Grant 71203117), the Humanities and Social Science Project by the Ministry of Education of China (12YJC630324, 14YJC630071), the Public Administration of Beijing City Running and Modern Service Innovation in Big Data Era (011000546615006), and the EC-HVEN European Framework 7 Project (No. 295130). Specifically, we thank two anonymous reviewers for their constructive comments that helped to improve this paper. Thanks to Hubert Schmitz, Tilman Altenburg, Ambuj Sagar and Xue Lan for helpful suggestions. In addition, we thank Thomson Reuters' experts for their advice on patent analysis. Also, many thanks to our research assistants Ms Pan Meijuan, Ms Wang Xiuqin andMr Jin Dan for their valuable work on the data mining.

Publisher Copyright:
© The Author 2015.

Keywords

  • Asia and Europe
  • Knowledge base
  • Knowledge flow
  • Network analysis
  • Patent analysis
  • Wind turbine firms

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