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Time frequency relationship between energy consumption, economic growth and environmental degradation in the United States: Evidence from transportation sector

机译:美国能源消耗,经济增长和环境恶化之间的时频关系:交通部门的证据

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This study examines the impact of energy consumption, economic growth on environmental degradation in the United States by using the wavelet technique. In order to examine the association between variables, monthly data from the years of 1973 (January) to 2015 (July) were used. The techniques applied on the dataset includes wavelet correlation, wavelet covariance, maximal overlap discrete wavelet transform, continuous wavelet power spectrum and wavelet coherence spectrum. The result indicated that in the short, medium and long run, energy consumption has a positive influence over carbon emissions. Moreover, the result of causality test shows that unidirectional causality running from energy consumption to carbon emissions is found. Therefore, it can be recommended that policy makers should pay more consideration on this. US is working hard to shrink its carbon emission to 50% and to become a green economy by the year 2020. Along with this, an appropriate deployment of plans is essential for the feat of such initiatives which includes the encouragement of using hybrid engine vehicles or even energy effective vehicles and to opt specific economic strategies which regulate the pollution industries, as this will result in a reduction of CO(2)emission in the US. (C) 2019 Elsevier Ltd. All rights reserved.
机译:这项研究使用小波技术研究了能源消耗,经济增长对美国环境恶化的影响。为了检查变量之间的关联,使用了1973年(1月)至2015年(7月)的月度数据。应用于数据集的技术包括小波相关,小波协方差,最大重叠离散小波变换,连续小波功率谱和小波相干谱。结果表明,从短期,中期和长期来看,能源消耗对碳排放具有积极影响。此外,因果关系测试的结果表明,发现了从能耗到碳排放的单向因果关系。因此,建议政策制定者对此进行更多考虑。美国正在努力将其碳排放量减少到50%,并在2020年之前成为绿色经济。与此同时,适当的计划部署对于此类举措的壮举至关重要,其中包括鼓励使用混合动力汽车或甚至节能汽车,并选择规范污染行业的特定经济策略,因为这将导致美国减少CO(2)排放。 (C)2019 Elsevier Ltd.保留所有权利。

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