碳纤维
温室气体
中国
环境科学
生产(经济)
环境经济学
自然资源经济学
资源配置
低碳经济
环境工程
计算机科学
经济
地理
微观经济学
生态学
算法
复合数
生物
计算机网络
考古
作者
Dan Xia,Ling Zhang,Dequn Zhou,Qianya Pian
出处
期刊:Energy Policy
[Elsevier]
日期:2023-07-01
卷期号:178: 113622-113622
被引量:7
标识
DOI:10.1016/j.enpol.2023.113622
摘要
The setting of China's peaking target by 2030 for total CO2 emissions places stricter requirements on low-carbon production in each province. The allowable CO2 emissions will become a limited resource in the future which need to be allocated properly. In this paper, a multi-objective optimization method is used to realize the continuous allocation of carbon emission quota (CEQ) of each province from 2020 to 2030 under two different peaking paths by comprehensively considering three objectives of cost, efficiency, and fairness. In addition, the 30 provinces are divided into 4 groups and the distribution results were compared within and between groups. The results show that: (1) provinces with larger historical carbon emissions will be allocated more CEQ, while provinces with smaller carbon emissions will achieve peak carbon earlier, and the key to controlling total carbon emissions lies in the five provinces (Guangdong, Hebei, Henan, Jiangsu, Shandong) in Group 2; (2) the peak scenario and CEQ allocation scheme corresponding to path 2 will be more consistent with the future development requirements of China's energy, economy and environment; (3) Multi-objective is necessary and the continuous CEQ allocation scheme will be significant for guiding provinces to arrange future annual production plan.
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