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首页> 外文期刊>Applied Energy >Assessing net energy consumption of Australian economy from 2004-05 to 2014-15: Environmentally-extended input-output analysis, structural decomposition analysis, and linkage analysis
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Assessing net energy consumption of Australian economy from 2004-05 to 2014-15: Environmentally-extended input-output analysis, structural decomposition analysis, and linkage analysis

机译：评估2004-05至2014-15年度澳大利亚经济的净能源消耗：环境扩展的投入产出分析，结构分解分析和联系分析

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This paper provides a comprehensive analysis of Australian net energy consumption between 2004-05 and 2014-15. Results from environmentally-extended input-output (EEIO) analysis show that the Transport sector has the largest direct effect on net energy consumption in industrial sectors, which decreased by about 35% for net energy consumption per million $AUD in the period. The Export sector has the largest direct net energy consumption while Households consumption results in the largest net energy consumption embodied in different categories of Final demand. The structural decomposition analysis (SDA) decomposes the change of net energy consumption into five drivers, in which net energy intensity mainly reduces Australian net energy consumption by about 8000 Petajoules, while the level effect of Final demand increases it by about 10,000 Petajoules. Analysis of forward and backward linkages highlights the Manufacturing sector as the key industrial sector with the largest energy consumption reduction potential via minor changes in its input and Final demand. This indicates that more attention should be given to the reduction of energy demand from the consumption patterns of Households consumption, the improvement of energy intensity, and the application of cleaner technologies in the Transport and Manufacturing sectors. The Australian Environmental-Economic Accounts is combined with Australian input-output tables to construct the EEIO tables for net energy consumption. The combination of economic and environmental data sets provides a depth of understanding their potential to inform environmental policy decisions. The novelty of the research is the combination of economic and energy data sets, the application of EEIO model, the implementation of the additive SDA method, and the use of forward and backward linkages for the Australian energy system.
机译：本文全面分析了2004-05年至2014-15年之间的澳大利亚净能源消耗。环境扩展投入产出（EEIO）分析的结果表明，运输部门对工业部门的净能源消耗具有最大的直接影响，在此期间，每百万澳元的净能源消耗减少了约35％。出口部门的直接净能源消费量最大，而家庭的消费量则是最大的净能源消耗量，体现在最终需求的不同类别中。结构分解分析（SDA）将净能源消耗的变化分解为五个驱动因素，其中净能源强度主要使澳大利亚的净能源消耗减少了约8000 Petajoules，而最终需求的水平效应使其增加了约10,000 Petajoules。通过对前向和后向联系的分析，可以看出制造业是关键工业部门，其主要是通过减少投入和最终需求的变化来降低能耗的潜力。这表明应更加重视减少家庭消费的消费方式所带来的能源需求，提高能源强度以及在运输和制造业部门应用清洁技术。将澳大利亚环境经济账户与澳大利亚投入产出表相结合，以构建用于净能耗的EEIO表。经济和环境数据集的组合提供了深入了解它们为环境政策决策提供信息的潜力的理解。该研究的新颖之处在于结合了经济和能源数据集，EEIO模型的应用，附加SDA方法的实施以及对澳大利亚能源系统的前向和后向联系的使用。

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