Analysis of EU’s Coupled Carbon and Electricity Market Development Based on Generative Pre-Trained Transformer Large Model and Implications in China

Yao Li, Siyuan Ni, Xi Tang, Sizhe Xie () and Peng Wang
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Yao Li: School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
Siyuan Ni: School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
Xi Tang: Sichuan University—Pittsburgh Institute, Chengdu 610207, China
Sizhe Xie: School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
Peng Wang: School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China

Sustainability, 2024, vol. 16, issue 23, 1-18

Abstract: With increasing global attention on carbon emission control and sustainable development, the carbon market has become an important tool for promoting environmental sustainability and carbon emission regulation. As an important part of energy trading, the electricity market is closely related to the carbon market and their effective coupling is critical for achieving sustainable energy transitions. Power generation can effectively link carbon prices and electricity prices. Through the promulgation of reasonable policies, we can promote the coupling of the carbon market and the electricity market, and then, through macro-control, promote the steady and joint development of the carbon and electricity markets, improve the construction of the carbon rights market, reduce greenhouse gas emissions, and create a sustainable future for humanity. Given the relative maturity of the EU carbon market and electricity market, this paper identifies key points of market volatility through the coupling coordination model analysis and uses the GPT large model analysis to analyze policy factors that have a greater impact on carbon market and electricity market transactions. The research results show that market-regulating policies and expectation management policies have the greatest impact on the degree of coupling between the carbon and electricity markets. The impact of secondary policies such as international cooperation policies and structural adjustment policies is relatively insignificant. Although the development of China’s carbon market faces many challenges, reasonable policy interventions are expected to achieve significant results in the domestic carbon market. Finally, this paper also draws on analogy analysis to draw corresponding implications for China from the EU’s carbon–electricity coupling policy promulgation.

Keywords: electricity market; carbon market; coupling analysis; GPT large model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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