Yinxuan Wu1, Quansheng Shi1, Laicun Li2
1College of Economics and Management, Shanghai University of Electric Power, Shanghai, China, 200090
2Shanghai Bond Vocational and Technical College, Shanghai, China, 200444
In order to promote the achievement of the "double carbon" target, a log-average weighting decomposition method was used to analyze the factors influencing carbon emissions in the power sector, which accounts for the highest carbon emissions in China. The main factors in the power sector, namely the share of energy, coal consumption in power generation, the ratio of thermal power generation to total power generation, the ratio of electricity generation to electricity consumption and total power consumption, were analyzed by the modified Kaya constant equation and the Divisia decomposition method, and the positive driving effect of total power consumption on carbon emissions in the power sector was found to be the strongest. The negative driving effect of coal consumption and the proportion of thermal power generation to total power generation on carbon emissions in the power sector is obvious, and the negative driving effect of the energy share and the proportion of power generation to power consumption on carbon emissions in the power sector is very weak.
"dual carbon" goal, power industry, carbon emissions, Log-average weighting decomposition method
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