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Uncovering the driving forces of carbon dioxide emissions in Chinese manufacturing industry: An intersectoral analysis

机译:揭示中国制造业二氧化碳排放的驱动力:跨部门分析

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摘要

As the pillar of national economy, manufacturing industry is the largest primary energy consumer and emitter of carbon dioxide (CO2) in China. Therefore, capturing the determinants of CO2 emissions in manufacturing industry is extremely important for national efforts to mitigate carbon emissions. This paper explores the major driving forces behind CO2 emission changes in China's manufacturing industry during 2000-2015 from perspectives of the whole sector and 28 subsectors, by applying the temporal logarithmic mean Divisia index (LMDI) method. Moreover, an intersectoral LMDI model is built to uncover the intersectoral discrepancies of CO2 emissions among 28 subsectors. The temporal analysis indicates that industrial activity and energy intensity are crucial factors respectively contributing to the increase and mitigation of CO2 emissions. The intersectoral analysis reveals that energy intensity is the dominant factor responsible for the intersectoral discrepancies of CO2 emissions among 28 subsectors. The great mitigation towards CO2 emissions can be achieved if energy efficiency is largely improved in carbon-intensive subsectors. Priority should be given by governments to the industrial technology advancement, such as subsidies for energy-saving technological transformation and promotion of international advanced techniques and equipment, which can greatly improve production efficiency and mitigate emissions in manufacturing industry.
机译:作为国民经济的支柱,制造业是中国最大的初级能源消费和二氧化碳(CO2)排放国。因此,捕捉二氧化碳排放量的决定因素在制造业是一个国家的努力,以减轻碳排放非常重要。从整个行业的角度和28分行业2000 - 2015年期间,本文探讨了在背后中国制造业二氧化碳排放量变化的主要驱动力,通过应用时间数平均Divisia指数(LMDI)方法。此外,跨部门LMDI模型是建立在发现28分部门中的二氧化碳排放量的部门间的差异。时间分析表明,工业活动和能量强度分别是有助于二氧化碳排放量的增加和减少的关键因素。跨部门的分析表明,能源强度是负责的二氧化碳排放量的28分部门之间的跨部门差异的主导因素。如果能量效率在高碳分部门大幅度地提高,可以实现向二氧化碳排放量的极大减轻。应优先考虑由政府产业技术进步,如对节能技术改造和推广国际先进的技术和设备,可大大提高生产效率和生产行业减少排放的补贴给予。

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