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A new methodology for assessing the energy use-environmental degradation nexus

机译:评估能源使用-环境退化关系的新方法

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摘要

The international community is more than ever before worrying about the unremitting global warming and climate change and the responsibility of extensive energy use for that situation. This article contributes to the existing literature by examining whether energy consumption predicts CO2 emissions during the past 50 years in the five most polluting nations in the world. To do this, we have been using the recently developed predictability test of Westerlund and Narayan (Journal of Banking and Finance, 36, 2632-2640, 2012, Journal of Financial Econometrics, 13, 342-375, 2015). We take thereby into account the problem of endogeneity and persistence in the explanatory variable. Likewise, this test has the advantage of treating the problem of heteroscedasticity. Using several predictive evaluation measures and assuming the historical average as a benchmark, we find that the basic model of the predictability test of Westerlund and Narayan (2012, 2015) surpasses the benchmark model. These findings reveal that primary energy consumption predicts CO2 emissions in the world and all countries, for different forecast horizons. Further, the in-sample evidence of predictability has been supported by the out-of-sample analysis.
机译:国际社会比以往任何时候都更担心持续不断的全球变暖和气候变化,以及为这种情况承担广泛使用能源的责任。本文通过研究能源消耗是否能预测世界上五个污染最严重的国家在过去50年中的二氧化碳排放量,为现有文献做出了贡献。为此,我们一直在使用最近开发的Westerlund和Narayan的可预测性测试(Journal of Banking and Finance,36,2632-2640,2012,Journal of Financial Econometrics,13,342-375,2015)。因此,我们在解释变量中考虑了内生性和持久性的问题。同样,该测试的优点是可以解决异方差问题。通过使用几种预测评估方法,并以历史平均数为基准,我们发现Westerlund和Narayan(2012,2015)的可预测性测试的基本模型超过了基准模型。这些发现表明,对于不同的预测范围,一次能源消耗可以预测世界和所有国家的二氧化碳排放量。此外,样本外分析支持了样本中可预测性的证据。

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