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International competitiveness of China's wind turbine manufacturing industry and implications for future development

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  • Zhang, Sufang

Abstract

During 2010 and 2011, China had been the largest producer of wind turbines in the world for two consecutive years. How China can transform from being the largest producer to being the strongest producer of wind turbines is currently a great concern in the industry. The purpose of this paper is to discuss this issue from the perspective of the international competitiveness of China's wind turbine manufacturing industry. Firstly, the paper establishes a model for evaluating the international competitiveness of wind turbine manufacturing industry, which consists of five first-level indexes and 10 second-level indexes. Then, the paper uses these indexes to evaluate the international competitiveness of six leading wind turbine companies in the world—Vestas (Denmark), Gamesa (Germany), GE Wind (the USA), Nordex (Spain), Suzlon (India) and Sinovel (China). The result shows that the international competitiveness of the Chinese wind turbine company, Sinovel, ranked the fifth, lagging behind Vestas, Gamesa, GE Wind and Suzlon. Finally, the paper makes in-depth analysis on the major factors that hamper the international competitiveness of China's wind turbine manufacturing industry and provides implications for future development of the industry.

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  • Zhang, Sufang, 2012. "International competitiveness of China's wind turbine manufacturing industry and implications for future development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3903-3909.
    • Handle: RePEc:eee:rensus:v:16:y:2012:i:6:p:3903-3909
    DOI: 10.1016/j.rser.2012.03.006
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    References listed on IDEAS

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    1. Lewis, Joanna I. & Wiser, Ryan H., 2007. "Fostering a renewable energy technology industry: An international comparison of wind industry policy support mechanisms," Energy Policy, Elsevier, vol. 35(3), pages 1844-1857, March.
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    Cited by:

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    2. Zhihui Leng & Jing Shuai & Fubin Huang & Zihan Wang & Chuanmin Shuai, 2019. "Comparative advantages of China’s wind energy products: a Belt-and-Road perspective," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(3), pages 1459-1478, May.
    3. Wu, Yunna & Li, Yang & Ba, Xi & Wang, Heping, 2013. "Post-evaluation indicator framework for wind farm planning in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 17(C), pages 26-34.
    4. Binz, Christian & Gosens, Jorrit & Hansen, Teis & Hansen, Ulrich Elmer, 2017. "Toward Technology-Sensitive Catching-Up Policies: Insights from Renewable Energy in China," World Development, Elsevier, vol. 96(C), pages 418-437.
    5. Liu, W.Y. & Tang, B.P. & Han, J.G. & Lu, X.N. & Hu, N.N. & He, Z.Z., 2015. "The structure healthy condition monitoring and fault diagnosis methods in wind turbines: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 466-472.
    6. Zhang, Sufang & Zhao, Xiaoli & Andrews-Speed, Philip & He, Yongxiu, 2013. "The development trajectories of wind power and solar PV power in China: A comparison and policy recommendations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 322-331.
    7. Fang, Kai & Zhou, Yunheng & Wang, Shuang & Ye, Ruike & Guo, Sujian, 2018. "Assessing national renewable energy competitiveness of the G20: A revised Porter's Diamond Model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 719-731.
    8. Lin, Yonggang & Tu, Le & Liu, Hongwei & Li, Wei, 2016. "Fault analysis of wind turbines in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 482-490.
    9. Aldis Bulis & Sajal Kabiraj & Md Nur Alam Siddik, 2021. "Competitiveness Impedimental Factors of Latvian Manufacturing Companies in China," Global Business Review, International Management Institute, vol. 22(2), pages 290-310, April.
    10. Zhang, Sufang & Andrews-Speed, Philip & Zhao, Xiaoli, 2013. "Political and institutional analysis of the successes and failures of China’s wind power policy," Energy Policy, Elsevier, vol. 56(C), pages 331-340.
    11. Jiménez, Alfredo Arcos & García Márquez, Fausto Pedro & Moraleda, Victoria Borja & Gómez Muñoz, Carlos Quiterio, 2019. "Linear and nonlinear features and machine learning for wind turbine blade ice detection and diagnosis," Renewable Energy, Elsevier, vol. 132(C), pages 1034-1048.
    12. Zhao, Zhen-Yu & Chang, Rui-Dong & Chen, Yu-Long, 2016. "What hinder the further development of wind power in China?—A socio-technical barrier study," Energy Policy, Elsevier, vol. 88(C), pages 465-476.
    13. Zhao, Zhen-yu & Yan, Hong & Zuo, Jian & Tian, Yu-xi & Zillante, George, 2013. "A critical review of factors affecting the wind power generation industry in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 499-508.
    14. Akvile Cibinskiene & Daiva Dumciuviene & Viktorija Bobinaite & Egidijus Dragašius, 2021. "Competitiveness of Industrial Companies Forming the Value Chain of Wind Energy Components: The Case of Lithuania," Sustainability, MDPI, vol. 13(16), pages 1-19, August.
    15. Yoo, Kyungjin & Lee, Youah & Heo, Eunnyeong, 2013. "Economic effects by merger and acquisition types in the renewable energy sector: An event study approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 694-701.

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