Qingdao Technical College, Qian Tang Jiang Road, Qingdao, 266555, China.
Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences), 37 Miaoling Road, Qingdao, 266001, China.
Environ Sci Pollut Res Int. 2023 May;30(25):67150-67173. doi: 10.1007/s11356-023-26950-1. Epub 2023 Apr 27.
With the official national unified carbon market launch on July 16, 2021, the allocation and trading of initial carbon quotas between regions will become the focus of research in the future. Based on a reasonable regional initial carbon quota allocation, introducing the concept of carbon ecological compensation and formulating differentiated emission reduction strategies according to the characteristics of different provinces can better guarantee the realization of China's carbon emission reduction goals. Based on this, this paper first analyzes the distribution effects under different distribution principles from the perspective of fairness and efficiency. Secondly, the Pareto optimal multi-objective particle swarm optimization (Pareto-MOPSO) algorithm is used to build the initial carbon quota allocation optimization configuration model to optimize the allocation results. The optimal initial carbon quota allocation scheme is determined through the comparative analysis of the allocation results. Finally, we explore the combination of carbon quota allocation and the concept of carbon ecological compensation and formulate the corresponding carbon compensation scheme. This study not only reduces the relative sense of exploitation of carbon quota allocation in different provinces but also contributes to the realization of a carbon peak in 2030 and carbon neutrality in 2060 (the "30.60" double carbon target).
随着 2021 年 7 月 16 日全国统一碳市场的正式启动，未来区域间初始碳配额的分配和交易将成为研究的重点。基于合理的区域初始碳配额分配，引入碳生态补偿的概念，并根据不同省份的特点制定差异化的减排策略，可以更好地保障中国实现碳减排目标。基于此，本文首先从公平与效率的角度分析了不同分配原则下的分配效应。其次，采用 Pareto 最优多目标粒子群优化（Pareto-MOPSO）算法构建初始碳配额分配优化配置模型，对分配结果进行优化。通过对分配结果的比较分析，确定了最优的初始碳配额分配方案。最后，探讨了碳配额分配与碳生态补偿理念的结合，并制定了相应的碳补偿方案。本研究不仅降低了不同省份之间碳配额分配的相对剥削感，还有助于实现 2030 年碳达峰和 2060 年碳中和（“30.60”双碳目标）。
