The carbon trading simulation analysis based on CGE model

Haibin Li; Zhenjia Jin; Guoyong Mei

doi:10.1117/12.2687749

24 October 2023 The carbon trading simulation analysis based on CGE model

Haibin Li, Zhenjia Jin, Guoyong Mei

Proceedings Volume 12804, Second International Conference on Sustainable Technology and Management (ICSTM 2023); 128040R (2023) https://doi.org/10.1117/12.2687749
Event: 2nd International Conference on Sustainable Technology and Management (ICSTM2023), 2023, Dongguan, China

Abstract

In recent years, our country has been taking administrative means to promote energy conservation and emission reduction in buildings, and has achieved certain results, but administrative means often focus on short-term benefits, long-term sustainability is not strong, can only play a palliative effect. Market-based adjustment means are more effective options for energy conservation and emission reduction policies. In the context of the construction of carbon market trading system, the “building carbon emission right trading” system established on the basis of property rights theory and Coase theorem is an inevitable choice to deal with climate change and realize the development of low-carbon buildings. Based on property rights theory, externality theory and Coase theorem, this paper refines relevant carbon emission trading theory. Structural equation model is used to analyze the influence mechanism of market maturity, government intervention, market mechanism and participants on the emission reduction effect of building carbon emission trading. Based on the analysis of the mechanism of carbon emission trading and carbon tax on the carbon emission reduction behavior of buildings, the dynamic CGE model is used to simulate the impact of carbon trading policy on GDP, carbon emission, social welfare and other factors.

Citation Download Citation

Haibin Li, Zhenjia Jin, and Guoyong Mei "The carbon trading simulation analysis based on CGE model", Proc. SPIE 12804, Second International Conference on Sustainable Technology and Management (ICSTM 2023), 128040R (24 October 2023); https://doi.org/10.1117/12.2687749

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