A fair and efficient renewable energy quota allocation scheme is essential for China to implement the Renewable Portfolio Standards policy. Therefore, based on the principles of fairness and efficiency, this paper comprehensively considers the differences among provinces and then proposes and adopts an improved zero-sum gains data envelopment analysis method to reallocate quotas. Furthermore, for verifying the superiority of the proposed method, this paper establishes a composite index based on the Gini coefficient and the Theil index to compare the rationality of the distribution results. Finally, this paper discusses the relevant advice for the development of renewable energy. The results validate that the proposed method is superior to the traditional method. Additionally, according to the final quota distribution scheme, there are fewer renewable energy quotas in the northern provinces and more in the southern provinces. The quota of most provinces is lower than 50 × 109 kWh, while Guangdong, Sichuan, Yunnan, Jiangsu, and Hunan are the five provinces with the most renewable energy quota of over 100 × 109 kWh. In general, this study provides a more rational renewable energy quota redistribution approach, which will help the government to establish an efficient and fair mechanism of renewable energy quota allocation.
Skip Nav Destination
Article navigation
March 2023
Research Article|
March 20 2023
Optimized allocation of renewable energy quota in Chinese provinces
Fugui Dong
;
Fugui Dong
(Conceptualization, Funding acquisition, Resources, Supervision, Writing – review & editing)
School of Economics and Management, North China Electric Power University
, Changping, Beijing 102206, China
Search for other works by this author on:
Yuzhu Hou
;
Yuzhu Hou
a)
(Data curation, Investigation, Methodology, Software, Supervision, Writing – original draft)
School of Economics and Management, North China Electric Power University
, Changping, Beijing 102206, China
a)Author to whom correspondence should be addressed: [email protected]
Search for other works by this author on:
Wei Zhang
Wei Zhang
(Data curation, Investigation, Methodology, Software, Supervision, Writing – original draft)
School of Economics and Management, North China Electric Power University
, Changping, Beijing 102206, China
Search for other works by this author on:
a)Author to whom correspondence should be addressed: [email protected]
J. Renewable Sustainable Energy 15, 025902 (2023)
Article history
Received:
October 07 2022
Accepted:
February 26 2023
Citation
Fugui Dong, Yuzhu Hou, Wei Zhang; Optimized allocation of renewable energy quota in Chinese provinces. J. Renewable Sustainable Energy 1 March 2023; 15 (2): 025902. https://doi.org/10.1063/5.0129872
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Citing articles via
Machine learning for modern power distribution systems: Progress and perspectives
Marija Marković, Matthew Bossart, et al.
Exploring the interplay between distributed wind generators and solar photovoltaic systems
C. Birk Jones, Georgios Fragkos, et al.
Related Content
How to optimize allocation of renewable portfolio standards for renewable energy development in China?
J. Renewable Sustainable Energy (May 2023)
Study on the electricity spot market trading mechanism considering the proportion of renewable energy consumption quota
J. Renewable Sustainable Energy (July 2023)
Impact of carbon emissions trading on green total factor productivity of China's power industry: A green technology innovation perspective
J. Renewable Sustainable Energy (February 2025)
Can China's energy quota trading impact the market performance and policy effects of carbon emissions trading?
J. Renewable Sustainable Energy (August 2024)
Internal factors of environmental security for Russia
AIP Conf. Proc. (March 2023)