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Regional decomposition analysis of electric carbon productivity from the perspective of production and consumption in China

机译:从中国生产和消费视角下的电碳生产率区域分解分析

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This study is concerned with the impact factors of electric carbon productivity change in China. Some influencing factors are identified by examining the time series decomposition of electric carbon productivity based on data from 2003 to 2015, where the usual Logarithmic Mean Divisia Index (LMDI) method is used but with the regional dimension taken into consideration. Moreover, this study analyzes the driving factors of electric carbon productivity change from the perspective of production and consumption in China's power industry, where the influences of power transfers among provinces, imports and exports, and transmission losses are considered. Based on the decomposition analysis of existing data in 30 provinces (including province-level municipalities), from the perspective of production, regional actual electric carbon productivity, and per capita GDP are the main influencing forces for the growth of electric carbon productivity, and the reciprocal of per capita electric carbon emissions, energy intensity, and energy emission intensity play dominate roles in the decline of electric carbon productivity. From the perspective of consumption, the main impact factors to improve electric carbon productivity are power transfers among provinces, imports and exports, the reciprocal of emission intensity of power consumption and regional electric carbon productivity, and the impact of energy consumption on thermal power generation, the proportion of thermal power to total electricity generation, and the effect of transmission losses. Finally, several conclusions are drawn that might be meaningful for the Chinese government to improve China's electric carbon productivity.
机译:本研究涉及中国电碳生产率变化的影响因素。通过从2003年至2015年的数据检查电碳生产率的时间序列分解来确定一些影响因素,其中使用通常的对数平均Divisia指数(LMDI)方法,但考虑了区域维度。此外,该研究分析了中国电力行业生产和消费的视角下的电力碳生产率变化的驱动因素,省份,进口和出口和传输损失的影响。基于30个省份(包括省级城市)的现有数据的分解分析,从生产,区域实际电碳生产率和人均GDP的主要影响力为电力碳生产率的增长,以及人均电碳排放,能源强度和能量排放强度的互惠在电碳生产率下降中起到主导作用。从消费的角度来看,主要的影响因素提高电碳生产率是省份,进出口电力转移,发射功耗和区域电碳生产率的倒数,以及能源消耗对热发电的影响,热力发电的比例和传输损耗的效果。最后,绘制了几个结论,对中国政府提高了中国的电力碳生产率可能对此有意义。

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