中国电力行业碳排放时空分布及影响因素研究

Research on the Spatio-Temporal Distribution and Influencing Factors of Carbon Emissions in China's Power Industry

2020年,中国提出了碳达峰、碳中和的目标,电力行业作为重点行业,其碳排放量是能否实现碳达峰、碳中和的重要因素。为分析中国电力行业碳排放特点及影响因素,利用传统统计方法对碳排放的时空计量数据进行分析,并利用灰色关联度分析法对电力行业不同能源的碳排放计量数据进行分析。从时间数据来看,我国电力行业碳排放量逐年上升,增长率持续波动;从空间数据来看,环渤海地区的电力行业碳排放量始终处于较高水平,内蒙古、新疆的电力行业碳排放量水平呈现上升趋势,江浙沪地区的电力行业碳排放量水平呈现下降趋势;从灰色关联度分析结果来看,原煤、其他石油产品、焦炉煤气、其他天然气的碳排放量对于电力行业的碳排放量影响比较大。

In 2020,China proposed the goals of carbon peaking and carbon neutrality.As a key industry,the carbon emissions of the power sector play a crucial role in achieving these objectives.This study analyzes the characteristics and influencing factors of carbon emissions in China’s power industry by applying traditional statistical methods to the spatiotemporal data of carbon emissions and utilizing grey correlation analysis to assess the impact of different energy sources on carbon emissions in the sector.Temporally,carbon emissions in China's power industry have been rising annually,with fluctuating growth rates.Spatially,the Bohai Rim region consistently exhibits high carbon emissions,while regions like Inner Mongolia and Xinjiang show an upward trend,and the Jiangsu-Zhejiang-Shanghai region shows a downward trend.The grey correlation analysis results indicate that carbon emissions from raw coal,other petroleum products,coke oven gas,and other natural gas have a significant influence on the overall carbon emissions of the power industry.