Taking advantage of the electrification strategy, Northwest China has made full use of its natural resources endowment, to develop renewable energy as the substitution of thermal power. To evaluate carbon dioxide (CO₂) emissions from electric power sector, an extended Kaya identity equation and the Logarithmic mean Divisia index decomposition method are applied to Northwest China from 1998 to 2017. Six explaining factors are analyzed, including carbon intensity, energy mixes, generating efficiency, electrification, economy and population. The results show that driving forces of CO₂ emissions from electricity system varied greatly among provinces. Generally, economic growth has mainly contributed to increase CO₂ emission, while the improvement in the power‐generating efficiency has crucially decreased CO₂ emission. In 2017, Promoting electrification directly increased CO₂ emissions from electric system, but indirectly reduced CO₂ emissions from the whole region by 5.10% through the estimation of a clean development mechanism method. Therefore, local governments are suggested continuing to promote electrification to guide future emission reduction, while enterprises and individuals need to make their own contributions to low‐carbon development.

中文翻译：

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西北电力部门二氧化碳排放量的LMDI分解分析

西北地区利用电气化战略，充分利用自然资源end赋，开发可再生能源替代火电。为了评估电力部门的二氧化碳（CO ₂）排放量，将扩展的Kaya身份方程式和对数平均Divisia指数分解法应用于1998年至2017年的西北地区。分析了六个解释性因素，包括碳强度，能量混合，产生效率，电气化，经济和人口。结果表明，各省电力系统CO ₂排放的驱动力差异很大。一般而言，经济增长主要是增加了CO _2的贡献排放，而发电效率的提高则极大地减少了CO ₂排放。2017年，推进电气化通过清洁发展机制方法的估算，直接增加了电力系统的CO ₂排放量，但间接减少了整个地区的CO ₂排放量5.10％。因此，建议地方政府继续促进电气化，以指导未来的减排，而企业和个人需要为低碳发展做出自己的贡献。