Optimization of Quota Benchmark Coefficient and Mechanism Design Based on Multi-Agent Evolution under the Background of Carbon Market Expansion
DOI: 10.23977/erej.2026.100108 | Downloads: 1 | Views: 54
Author(s)
Boxuan Liu 1
Affiliation(s)
1 School of Humanities and Social Science, North China Electric Power University, Baoding, 071003, Hebei, China
Corresponding Author
Boxuan LiuABSTRACT
The expansion of the carbon market serves as a critical component in China's efforts to achieve its "dual carbon" goals and strengthen its environmental governance framework. Following the launch of the national carbon market in 2025, its scope was expanded for the first time to include the steel, cement, and electrolytic aluminum industries. By 2027, the market is expected to cover virtually all major industrial emitters. The allowance benchmark coefficient, serving as the primary reference standard for quota allocation, plays a decisive role in determining the market's emission reduction effectiveness and fairness. Given the significant variations in carbon emissions across industries and enterprises, the traditional fixed benchmark coefficient can no longer meet the joint decarbonization requirements of multiple sectors. Building on multi-agent evolutionary theory, this study models the interactions and evolution processes among three agents—government, high-energy-consuming enterprises, and low-carbon enterprises. Utilizing real-world carbon market data, we refine the allowance benchmark coefficient calculation methodology and propose flexible adjustment measures tailored for expanded markets. Data analysis demonstrates the effectiveness and advantages of this approach, providing actionable insights for rational quota allocation post-expansion and fostering the healthy development of the carbon market.
KEYWORDS
Carbon market expansion; Multi-agent evolution; Quota benchmark coefficient; Mechanism design; Emission reduction coordinationCITE THIS PAPER
Boxuan Liu. Optimization of Quota Benchmark Coefficient and Mechanism Design Based on Multi-Agent Evolution under the Background of Carbon Market Expansion. Environment, Resource and Ecology Journal (2026). Vol. 10, No.1, 62-67. DOI: http://dx.doi.org/10.23977/erej.2026.100108.
REFERENCES
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