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Factor decomposition of China's industrial electricity consumption using structural decomposition analysis

机译:基于结构分解分析的中国工业用电量的因子分解

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We analyzed changes in China's industrial electricity consumption using a structural decomposition model based on input-output analysis. China's industrial electricity consumption changes during 2007-2012 were decomposed into four factors: electricity intensity, technology-input structural, final demand structure and total final demand. The results showed that changes in total final demand contributed most to increases in China's industrial electricity consumption, which increased electricity consumption by 2091.34 billion kW h. As for aggregate demand, increased investment, urban residential consumption, and exports all played major roles. However, increases in total rural residents' consumption and total inventory had little effect on the electricity consumption of various industrial sectors. The key reason for reductions in industrial electricity consumption was the decrease in electricity intensity in the heavy manufacturing industry, the service industry, and the energy industry. The decline in electricity consumption intensity in China reduced electricity consumption by 446.21 billion kWh. (C) 2019 Elsevier B.V. All rights reserved.
机译:我们使用基于投入产出分析的结构分解模型分析了中国工业用电量的变化。 2007-2012年中国工业用电量变化分解为四个因素:用电强度,技术投入结构,最终需求结构和最终总需求。结果表明,最终总需求的变化对中国工业用电量的增加起了最大的作用,使工业用电量增加了20913.4亿千瓦时。至于总需求,增加投资,城市居民消费和出口都起着主要作用。但是,农村居民的总消费和总库存的增加对各个工业部门的电力消耗几乎没有影响。减少工业用电量的主要原因是重工业,服务业和能源业的用电强度下降。中国用电强度的下降使用电量减少了4462.1亿千瓦时。 (C)2019 Elsevier B.V.保留所有权利。

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