环境规制背景下新疆能源碳排放峰值预测与情景模拟研究

    Prediction and Scenario Simulation of Energy Carbon Emission Peak in Xinjiang Under the Background of Environmental Regulation

    • 摘要: 基于峰值模型,结合情景模拟法对新疆2017-2030年能源消费碳排放进行预测,从环境规制角度,在弱、中、强3种环境规制情景下设定9种发展模式,以分析环境规制对能源碳排放峰值的影响。结果表明:(1)在基准情景下,新疆碳排放总量呈上升状态,无法在2030年之前实现碳排放达峰目标;(2)弱环境规制下,高、高中、高低3种发展模式2030年能源消费碳排放量分别为30 193.78万、28 156.05万和26 244.80万t;(3)中、强环境规制下的中低、低高发展模式分别于2025和2020年达到碳排放峰值,峰值为20 682.63万和19 050.03万t,人均GDP分别为6.31万和5.13万元。9种发展模式中,仅中低、低高两种发展模式能够如期实现碳排放峰值目标,表明实施严格的环境规制能有效减缓新疆的能源消费碳排放。最后,为促使新疆碳排放峰值目标能如期实现,基于新疆现状并结合研究结果,对其碳减排工作提出对策建议。

       

      Abstract: From the perspective of environmental regulation, this research predicted the carbon emissions of energy consumption in Xinjiang from 2017 to 2030, and analyzed its impacts on carbon emission peaks, by applying the peak model and the scenario simulation method. Nine development models were set under the weak, medium and strong environmental regulation intensity scenarios to analyze the impact of environmental regulation on energy carbon emission peaks. The results of the research show that: (1) In the baseline scenario, the trend of the total carbon emission in Xinjiang is increasing, therefore, it will be hard to achieve the carbon emission peak target by 2030; (2) In the weak scenario, the carbon emissions of energy consumption in 2030 with the three development models of high, high-medium, high-low are 30 193.78×104, 28 156.05×104 and 26 244.80×104 t, respectively; (3) In the medium and strong scenarios, the carbon emission peaks will be achieved in 2025 of the medium-low development model and in 2020 of the low-high development models with the peak quotas to be 20 682.63×104 and 19 050.03×104 t and the per capita GDPs to be 6.31×104 and 5.13×104 yuan, respectively. Among the nine development models, the target on carbon emission peak could only be achieved with the medium-low, low-high development models, which indicating that the implementation of strict environmental regulations can effectively reduce the carbon emissions of energy consumption in Xinjiang, and accelerate the achievement of the target on carbon emission peak.

       

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