Abstract: The re-implementation of China’s Certified Emission Reduction (CCER) market marks a significant evolution in the nation’s carbon market system, transitioning towards a new phase of coordinated development between mandatory emission reduction mechanisms and voluntary mitigation initiatives. This progression underscores the critical need for a scientific assessment of the comprehensive benefits associated with different policy designs to optimize the overall market architecture. Therefore, this study develops a novel analytical framework that integrates agent-based modeling (ABM) with a comprehensive Economic-Energy-Environment (3E) evaluation system weighted by the Fuzzy- DEMATEL-ANP method. This integrated approach is employed to simulate and analyze the impacts of critical policy mechanisms, including allowance allocation approaches, control policy stringency, and market scope design, within the CCER integration framework. The findings reveal that: (1) Adjusting the CCER offset ratio has limited marginal impacts on the macro system, suggesting no universally optimal ratio; (2) The sectoral benchmark approach for the allowance allocation achieves superior comprehensive benefits by enhancing institutional fairness, despite causing short-term economic suppression, while absolute cap control strategy improves the cost efficiency; (3) Expanding the coverage of regulated enterprises generates significant scale effects, whereas the inclusion of CCER enterprises requires a careful balance between short-term economic impacts and long-term environmental gains. This research elucidates the complex and multi-dimensional effects inherent in carbon market policy design, thereby providing a robust theoretical foundation and actionable decision-making support for the precise regulation and mechanism optimization of China's carbon market.

Key words: China Certified Emission Reduction, Carbon Market, Agent-based Modeling (ABM), Simulation, 3E (Economy-Energy-Environment) Evaluation Framework