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Opportunities and challenges for renewable energy policy in China

Peidong, Zhang, Yanli, Yang, jin, Shi, Yonghong, Zheng, Lisheng, Wang, Xinrong, Li·2009·Renewable and Sustainable Energy Reviews

Abstract

Renewable energy is the inevitable choice for sustainable economic growth, for the harmonious coexistence of human and environment as well as for the sustainable development. Government support is the key and initial power for developing renewable energy. In this article, an overall review has been conducted on renewable energy development policy (including laws and regulations, economic encouragement, technical research and development, industrialized support and government model projects, etc.) in China. On this basis, a systematic analysis has been conducted on the disadvantages of renewable energy development policy. On the point of long-term effective system for renewable energy development, a series of policy advice has been offered, such as strengthening the policy coordination, enhancing regional policy innovation, echoing with clean development mechanism, implementing process management, constructing market investment and financing system. It is expected that the above advices could be helpful to ever-improvement of renewable energy development policy.

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Metadata

Authors
Peidong, Z., Yanli, Y., jin, S., Yonghong, Z., Lisheng, W., & Xinrong, L.
Venue
Renewable and Sustainable Energy Reviews
Publisher
Elsevier BV
Published
2009-02
Volume
13
Issue
2
Pages
439-449
ISSN
1364-0321 (ISSN-L)
OpenAlex
W2015572010
Cited by
323
References
0
FWCI
6.69
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Opportunities and challenges for renewable energy policy in China. https://app.cochat.ai/papers/10.1016/j.rser.2007.11.005
The paper
Peidong, Z., Yanli, Y., jin, S., Yonghong, Z., Lisheng, W., & Xinrong, L. (2009). Opportunities and challenges for renewable energy policy in China. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2007.11.005

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.