田明霞, 刘磊. 成渝地区双城经济圈碳达峰预测研究[J]. 电子科技大学学报社科版, 2023, 25(6): 25-36. DOI: 10.14071/j.1008-8105(2023)-5015
引用本文: 田明霞, 刘磊. 成渝地区双城经济圈碳达峰预测研究[J]. 电子科技大学学报社科版, 2023, 25(6): 25-36. DOI: 10.14071/j.1008-8105(2023)-5015
TIAN Ming-xia, LIU Lei. The Prediction of Carbon Peaking in the Chengdu-Chongqing Economic Circle[J]. Journal of University of Electronic Science and Technology of China(SOCIAL SCIENCES EDITION), 2023, 25(6): 25-36. DOI: 10.14071/j.1008-8105(2023)-5015
Citation: TIAN Ming-xia, LIU Lei. The Prediction of Carbon Peaking in the Chengdu-Chongqing Economic Circle[J]. Journal of University of Electronic Science and Technology of China(SOCIAL SCIENCES EDITION), 2023, 25(6): 25-36. DOI: 10.14071/j.1008-8105(2023)-5015

成渝地区双城经济圈碳达峰预测研究

The Prediction of Carbon Peaking in the Chengdu-Chongqing Economic Circle

  • 摘要:
    目的/意义 分析预测成渝地区双城经济圈及44个市(区县)在2030年实现碳达峰的前景,为区域碳达峰提供建议。
    设计/方法 采用LMDI分解法识别成渝地区碳排放的关键因素及重点区域;在此基础上,采用多情景分析和蒙特卡洛模拟对成渝地区及各市(区县)2020~2035年的碳排放量进行静态和动态模拟,测算演化路径与达峰概率。
    结论/发现 静态模拟下成渝地区的碳排放仅在极低碳情景和低碳情景下可在2030年前达峰,动态模拟下的达峰概率为32.8%。绵阳市、遂宁市和眉山市等36个市(区县)在静态与动态模拟下均能在2030年前实现碳达峰;成都市、自贡市、泸州市等其他8个市(区县)在静态模拟的特定情景下无法实现碳达峰,在动态模拟下,成都市、泸州市、宜宾市和雅安市依然难以实现碳达峰目标,而南充市、自贡市、德阳市及乐山市的达峰概率分别为85.7%、55.42%、58.9%及20.4%。

     

    Abstract: Purpose/Significance This paper predicted and analyzed the prospects of carbon peaking before 2030 for the Chengdu-Chongqing Economic Circle and its 44 cities (districts and counties), and provided suggestions for regional carbon peaking. Design/Methodology LMDI decomposition method was used to identify key factors and key areas of the carbon emissions in the Chengdu-Chongqing Economic Circle. On this basis, scenario analysis and Monte Carlo simulation were used to simulate and calculate the evolution path and peak probability of carbon emissions of the Chengdu-Chongqing Economic Circle and cities (districts and counties) from 2020 to 2035. Conclusions/Findings Under static simulation, carbon emissions of the Chengdu-Chongqing Economic Circle will reach peak before 2030 only under the extremely low carbon scenario and low carbon scenario. Under dynamic simulation, the peak probability is 32.8%. 36 cities (districts and counties), including Mianyang, Suining, Meishan, etc., will reach peak before 2030 either under static or dynamic simulations; the other 8 cities (districts and counties), including Chengdu, Zigong, Luzhou, etc., are unable to reach peak under specific scenarios in static simulation. Under dynamic simulation, Chengdu, Luzhou, Yibin, and Ya’an are still unable to reach peak. The peak probabilities of Nanchong, Zigong, Deyang, and Leshan are 85.7%, 55.42%, 58.9%, and 20.4%, respectively.

     

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