School of Public Administration, Southwestern University of Finance and Economics, Chengdu, China.
Sci Rep. 2022 Mar 2;12(1):3473. doi: 10.1038/s41598-022-07283-4.
China's carbon peak greatly impacts global climate targets. Limited studies have comprehensively analyzed the influence of the COVID-19 pandemic, changing emission network, and recent carbon intensity (CI) reduction on the carbon peak and the corresponding mitigation implications. Using a unique dataset at different levels, we project China's CO emission by 2035 and analyze the time, volume, driver patterns, complex emission network, and policy implications of China's carbon peak in the post- pandemic era. We develop an ensemble time-series model with machine learning approaches as the projection benchmark, and show that China's carbon peak will be achieved by 2021-2026 with > 80% probability. Most Chinese cities and counties have not achieved carbon peaks response to the priority-peak policy and the current implementation of CI reduction should thus be strengthened. While there is a "trade off" between the application of carbon emission reduction technology and economic recovery in the post-pandemic era, a close cooperation of interprovincial CO emission is also warranted.
中国的碳达峰对全球气候目标影响重大。有限的研究全面分析了 COVID-19 大流行、不断变化的排放网络和近期碳强度(CI)降低对碳达峰的影响,以及相应的减排意义。我们使用不同层面的独特数据集,预测了中国到 2035 年的 CO2 排放量,并分析了后疫情时代中国碳达峰的时间、规模、驱动模式、复杂排放网络和政策意义。我们使用机器学习方法构建了一个集合时间序列模型作为预测基准,结果表明中国碳达峰将在 2021-2026 年之间实现,概率超过 80%。大多数中国城市和县尚未实现碳达峰,这与优先达峰政策以及当前实施的碳强度降低措施不符,因此应加强这方面的工作。尽管在后疫情时代,碳减排技术的应用与经济复苏之间存在“权衡”,但也需要加强省际 CO2 排放的密切合作。