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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：从2004 - 05年度评估澳大利亚经济的净能耗：环境 - 扩展输入输出分析，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：本文综合分析了2004 - 05年至2014-15之间的澳大利亚净能源消耗。环境扩展投入输出（EEIO）分析结果表明，运输部门对工业部门的净能源消耗具有最大的直接影响，这在该期间每百万美元的净能耗下降约35％。出口部门具有最大的直接净能耗，而家庭消费会导致不同类别的最终需求的最大净能耗。结构分解分析（SDA）将净能量消耗的变化分解为五个司机，其中净能源强度主要将澳大利亚净能量消耗降低约8000个Petajoules，而最终需求的水平效应将其提高约10,000个Petajoules。对前后联系的分析突出了制造业作为关键工业领域，通过其投入和最终需求的次要变化具有最大的能耗降低潜力。这表明应更加关注从家庭消费的消费模式，改善能源强度的能源需求，以及在运输和制造业的清洁技术的应用。澳大利亚环境 - 经济账目与澳大利亚投入产出表相结合，以构建EEIO表以进行净能源消耗。经济和环境数据集的结合提供了一种了解其通知环境政策决策的潜力。研究的新颖性是经济和能源数据集的结合，EEIO模型的应用，添加剂SDA方法的实现，以及使用前后联系的澳大利亚能源系统。

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