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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

As China progresses with its electricity market reforms in pursuit of “carbon peak and carbon neutrality” objectives, the increasing integration of renewable energy sources introduces new risks and uncertainties, necessitating the development of an efficient electricity financial market. This paper outlines the fundamental principles of electricity financial derivatives, assesses their applicability to the Chinese market through an analysis of international experiences from the United States, Nordic countries, and Australia, and highlights critical issues for the construction of a robust market framework. It offers strategic recommendations regarding the structural and developmental aspects of China’s electricity financial market and proposes derivative instruments tailored to China’s market to improve liquidity and risk management mechanisms, thereby facilitating the renewable energy transition. The study demonstrates that these derivatives are instrumental in mitigating price volatility, managing transmission congestion, and supporting the shift to renewable energy. This provides a pragmatic approach for the reform and advancement of China’s electricity financial market, aligning with global strategies and addressing the unique challenges of China’s energy transition.

Details

Title
Developing China’s Electricity Financial Market: Strategic Design of Financial Derivatives for Risk Management and Market Stability
Author
Feng, Hao 1 ; Zhang, Yidi 1 ; Zhou, Lan 1 ; Wang, Kun 1 ; Wang, Yizheng 1 ; Chen, Sheng 2 ; Changsen Feng 2 

 Economic Research Institute of State Grid Zhejiang Electric Power Company, Hangzhou 310000, China; [email protected] (H.F.); [email protected] (Y.Z.); [email protected] (Z.L.); [email protected] (K.W.); [email protected] (Y.W.) 
 College of Information Engineering, Zhejiang University of Technology, Hangzhou 310000, China; [email protected] 
First page
5854
Publication year
2024
Publication date
2024
Publisher
MDPI AG
e-ISSN
19961073
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3144106859
Copyright
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.