China’s emissions continue to rise rapidly in line with its mounting energy consumption, which puts considerable pressure on China to meet its emission reduction commitments. This paper assesses the impacts of CO₂ mitigation measures in China during the period from 2010 to 2050 by using a computable general equilibrium method, called AIM/CGE. Results show that renewable energy makes a critical difference in abating emissions during the period from 2010 to 2020. The scenarios with emission trading would drive more emission reductions, whereby the emission-cutting commitment for 2020 would be achieved and emission reductions in 2050 would be more than 57.90%. Meanwhile, the share of non-fossil energy increases significantly and would be more than doubled in 2050 compared with the BAU scenario. A carbon tax would result in a significant decline in emissions in the short term, but would have an adverse effect on economic growth and energy structure improvements. It is also observed that the integrated measures would not only substantially decrease the total emissions, but also improve the energy structure.

With the advancement of the construction of new power systems, industrial enterprises participation in the peak shaving auxiliary service market is increasing. This paper proposes a model to estimate the impact of industrial enterprises participation in the peak shaving auxiliary service market on carbon dioxide emission, and designs a blockchain-based platform architecture to ensure the credibility of transaction of the aggregation trade. The simulation results indicate that most enterprises in the magnesia park use electricity during normal and valley hours. Transferring electricity consumption from peak hours to flat and low periods will reduce carbon dioxide emissions. Moreover, a blockchain-based aggregation platform architecture is an attractive measure too. Besides, the carbon dioxide emission factor of the power grid and the production proportion of primary energy show an opposite trend.