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Evaluation of the Influencing Factors of Energy Consumption in China's Energy-Intensive Industries

机译:中国能源密集型产业能耗影响因素评价

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This manuscript aimed to seek influencing factors of energy consumption in China's energy-intensive industries employing the generalized logarithmic mean Divisia index (LMDI) and input-output analysis. The research stated clearly that decomposition factors covered energy structure, energy intensity, industry structure, complete demand, final demand structure, and final demand total effect. The results showed that the decrease of energy consumption in energy-intensive industries heavily relied on energy intensity and industry structure. However, final demand total effect, which specifically involved the investment demand and export expansion, was a dominant element driving energy consumption growth. Accordingly, speeding up the industrial structure adjustment, improving the import and export mix, and reducing energy intensity have been the primary approaches to decrease energy consumption in energy-intensive industries. These approaches would accelerate the target of a 16% decline in energy intensity compared with 2010 in China's Twelfth Five-Year Plan. Moreover, this research has crucial theoretical and practical significance on the implementation of energy policy in China. (C) 2017 American Society of Civil Engineers.
机译:该手稿旨在通过广义对数平均Divisia指数(LMDI)和投入产出分析来寻找影响中国高耗能行业能耗的因素。研究清楚地表明,分解因素涵盖了能源结构,能源强度,产业结构,完整需求,最终需求结构和最终需求总效应。结果表明,高耗能行业能耗的下降在很大程度上取决于能源强度和产业结构。然而,最终需求总量效应,特别是投资需求和出口扩张,是推动能源消费增长的主要因素。因此,加快产业结构调整,改善进出口结构,降低能源强度已成为降低高耗能行业能耗的主要途径。与中国的“十二五”规划中的2010年相比,这些方法将加速实现能源强度降低16%的目标。此外,该研究对中国实施能源政策具有重要的理论和实践意义。 (C)2017年美国土木工程师学会。

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