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Industrial Energy-Related CO2 Emissions and Their Driving Factors in the Yangtze River Economic Zone (China): An Extended LMDI Analysis from 2008 to 2016

机译:工业能源相关二氧化碳排放及其在长江经济区(中国)的驱动因素:2008年至2016年的扩展LMDI分析

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摘要

As the world’s largest developing country in the world, China consumes a large amount of fossil fuels and this leads to a significant increase in industrial energy-related CO emissions (IECEs). The Yangtze River Economic Zone (YREZ), accounting for 21.4% of the total area of China, generates more than 40% of the total national gross domestic product and is an important component of the IECEs from China. However, little is known about the changes in the IECEs and their influencing factors in this area during the past decade. In this study, IECEs were calculated and their influencing factors were delineated based on an extended logarithmic mean Divisia index (LMDI) model by introducing technological factors in the YREZ during 2008–2016. The following conclusions could be drawn from the results. (1) Jiangsu and Hubei were the leading and the second largest IECEs emitters, respectively. The contribution of the cumulative increment of IECEs was the strongest in Jiangsu, followed by Anhui, Jiangxi and Hunan. (2) On the whole, both the energy intensity and R&D efficiency play a dominant role in suppressing IECEs; the economic output and investment intensity exert the most prominent effect on promoting IECEs, while there were great differences among the major driving factors in sub-regions. Energy structure, industrial structure and R&D intensity play less important roles in the IECEs, especially in the central and western regions. (3) The year of 2012 was an important turning point when nearly half of these provinces showed a change in the increment of IECEs from positive to negative values, which was jointly caused by weakening economic activity and reinforced inhibitory of energy intensity and R&D intensity.
机译:作为世界上最大的发展中国家,中国消耗了大量的化石燃料,这导致工业能源相关的共同排放量(IECES)大幅增加。长江经济区(Yrez)占中国总面积的21.4%,占国民国内总产量的40%以上,是中国IECES的重要组成部分。然而,在过去十年中,对IECES的变化及其影响因素几乎不了解。在这项研究中,计算IECES并通过在2008 - 2016年期间引入Yrez中的技术因素,基于延长的对数平均Divisia指数(LMDI)模型来描绘它们的影响因子。以下结论可以从结果中汲取。 (1)江苏和湖北分别为第二大IECES发射器。 IECES累积增量的贡献是江苏最强的,其次是安徽,江西和湖南。 (2)总的来说,能源强度和研发效率都在抑制IECES方面发挥着主导作用;经济产出和投资强度对促进IECES产生最突出的影响,而子地区的主要驾驶因素则存在巨大差异。能源结构,产业结构和研发强度在IECES中发挥着不太重要的作用,特别是在中西部地区。 (3)2012年的一年是一个重要的转折点,当近一省的近一半表现出IECES增加到负值的变化,这是通过削弱经济活动和增强能源强度和研发强度的增强造成的。

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