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Electricity footprint of China's industrial sectors and its socioeconomic drivers

机译:中国工业部门及其社会经济司机的电力足迹

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摘要

China has become the largest electricity consumer in the world. Existing studies focus on the direct electricity use of industrial sectors and investigate the factors that influence direct electricity consumption. However, the critical sectors that play important roles as final consumers or primary suppliers and indirectly drive up the electricity use of upstream or downstream sectors are not identified. This study comprehensively quantifies the electricity footprint of the industrial sectors using consumption-based and income-based accounting methods The key drivers of changes in the consumption-based and income-based electricity footprints are also investigated using structural decomposition analysis (SDA). The results show that the accounting of the electricity footprint using consumption-based and income-based methods is quite different from that of the production-based method (i.e., direct electricity use). Moreover, the change in the energy structure (i.e., the percentage share of electricity in total energy consumption, also known as electrification level) of industrial sectors is a major driver of the increment in electricity use in addition to the final demand level and primary input level change. Improvement in the energy efficiency of sectors is the dominant factor that reduces electricity use. However, changes in the production input/output structure, final demand structure, and primary input structure are not found to have significant effects on reducing electricity use. This indicates that the role of structure change should be explored further. China can implement policies that further stimulate structural transformation, such as encouraging the consumption of less energy-intensive products and promoting primary inputs and production allocation to less energy-intensive sectors.
机译:中国已成为世界上最大的电力消费者。现有研究专注于工业部门的直接电力利用,并调查影响直接电力消耗的因素。但是,没有确定发挥重要角色作为最终消费者或主要供应商以及间接推动上游或下游扇区的电力使用的关键部门。本研究全面地使用基于消费和基于收入的会计方法量化工业部门的电力足迹,使用结构分解分析(SDA)研究了基于收入的基于收入的电力足迹的变化的关键驱动因素。结果表明,使用基于消费和基于收入的方法的电力足迹的核算与基于生产的方法(即,直接电力使用)完全不同。此外,能量结构的变化(即,电能消耗总量的百分比份额,也称为电气化水平)是除了最终需求水平和主要输入之外的电力使用中的增量的主要驱动因素水平变化。扇区能量效率的提高是减少电力使用的主要因素。但是,未发现生产输入/输出结构,最终需求结构和主要输入结构的变化对降低电力使用具有显着影响。这表明应进一步探索结构变化的作用。中国可以实施进一步刺激结构转型的政策,例如鼓励能源密集型产品的消费,促进初级投入和生产分配到更少的能源密集型行业。

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