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采用统计动态方法评估澳大利亚能源生产对 CO 排放和环境退化的贡献。

Assessment of contribution of Australia's energy production to CO emissions and environmental degradation using statistical dynamic approach.

机构信息

Faculty of Science and Technology, Department of Environmental Science, Macquarie University, NSW 2109, Australia.

出版信息

Sci Total Environ. 2018 Oct 15;639:888-899. doi: 10.1016/j.scitotenv.2018.05.204. Epub 2018 May 26.

Abstract

Energy production remains the major emitter of atmospheric emissions, thus, in accordance with Australia's Emissions Projections by 2030, this study analyzed the impact of Australia's energy portfolio on environmental degradation and CO emissions using locally compiled data on disaggregate energy production, energy imports and exports spanning from 1974 to 2013. This study employed the fully modified ordinary least squares, dynamic ordinary least squares, and canonical cointegrating regression estimators; statistically inspired modification of partial least squares regression analysis with a subsequent sustainability sensitivity analysis. The validity of the environmental Kuznets curve hypothesis proposes a paradigm shift from energy-intensive and carbon-intensive industries to less-energy-intensive and green energy industries and its related services, leading to a structural change in the economy. Thus, decoupling energy services provide better interpretation of the role of the energy sector portfolio in environmental degradation and CO emissions assessment. The sensitivity analysis revealed that nonrenewable energy production above 10% and energy imports above 5% will dampen the goals for the 2030 emission reduction target. Increasing the share of renewable energy penetration in the energy portfolio decreases the level of CO emissions, while increasing the share of non-renewable energy sources in the energy mix increases the level of atmospheric emissions, thus increasing climate change and their impacts.

摘要

能源生产仍然是大气排放的主要排放源,因此,根据澳大利亚到 2030 年的排放预测,本研究使用从 1974 年到 2013 年的本地编制的能源生产、能源进出口的细分数据,分析了澳大利亚能源组合对环境退化和 CO 排放的影响。本研究采用了完全修正的普通最小二乘法、动态普通最小二乘法和典型协整回归估计量;受统计启发的偏最小二乘回归分析的修正,随后进行可持续性敏感性分析。环境库兹涅茨曲线假说的有效性提出了一种从能源密集型和碳密集型产业向低能源密集型和绿色能源产业及其相关服务的范式转变,从而导致经济结构的变化。因此,能源服务脱钩提供了对能源部门投资组合在环境退化和 CO 排放评估中的作用的更好解释。敏感性分析表明,可再生能源产量超过 10%和能源进口超过 5%将降低 2030 年减排目标的实现。在能源组合中增加可再生能源的渗透率将降低 CO 排放水平,而增加能源组合中不可再生能源的份额将增加大气排放水平,从而增加气候变化及其影响。

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