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Investigation of the N-shaped environmental Kuznets curve for COVID-19 mitigation in the KSA
Environmental Science and Pollution Research ( IF 5.8 ) Pub Date : 2021-02-10 , DOI: 10.1007/s11356-021-12713-3
Abdussalam Aljadani 1 , Hassen Toumi 1, 2 , Said Toumi 3 , Mosbah Hsini 1, 4 , Basma Jallali 1
Affiliation  

Climate change mitigation has led to a recent question regarding many policymakers and sustainable development goals (SDGs) of the Kingdom of Saudi Arabia (KSA) for Vision 2030. In 2019 and 2020, COVID-19 mitigation was the only issue the world raised questions about; for example, the KSA and the rest of the world are working diligently to meet COVID-19 mitigation targets. To assess policy supervision in terms of the ability to achieve COVID-19 targets, this survey examines the operators necessary to achieve the SDGs in regard to improving COVID-19 mitigation and increasing economic growth. In particular, we examine COVID-19 mitigation under the setting of an N-shaped environmental Kuznets curve (N-shaped EKC) in the KSA. To identify the COVID-19 shock in the KSA, the effects of oil price and oil rent on CO2 emissions are examined. The results of the autoregressive distributed lag (ARDL) and non-autoregressive distributed lag (NARDL) bound testing approach indicate that due to the COVID-19 pandemic, the inverted N-shaped EKC hypothesis is validated in the long term. Empirically, we find that oil price strengthens the relationship of level, quadratic and cubic of economic growth and environmental quality while oil rent weakens this relationship. Additionally, the long-term incidences of positive shocks on oil price in the presence of COVID-19 outbreak are not similar to the negative shock to CO2 emissions, implying the existence of asymmetric impacts on carbon dioxide emissions in long-term forms. Our research implies that an oil price shock could be judicious for macro guidance of the economy in the KSA. Our findings are helpful for policymakers and investors in terms of their settlement planning because they can be used to evaluate prospective courses of economic profitability under the COVID-19 shock.



中文翻译:

研究 KSA 缓解 COVID-19 的 N 形环境库兹涅茨曲线

减缓气候变化导致了最近关于沙特阿拉伯王国 (KSA) 的许多政策制定者和可持续发展目标 (SDG) 以实现 2030 年愿景的问题。在 2019 年和 2020 年,减缓 COVID-19 是世界提出的唯一问题; 例如,KSA 和世界其他地区正在努力实现 COVID-19 缓解目标。为了根据实现 COVID-19 目标的能力来评估政策监督,本调查考察了在改善 COVID-19 缓解和促进经济增长方面实现可持续发展目标所需的运营商。特别是,我们在 KSA 的 N 形环境库兹涅茨曲线(N 形 EKC)的设置下检查了 COVID-19 的缓解情况。为了确定 KSA 中的 COVID-19 冲击,油价和石油租金对 CO 2的影响检查排放。自回归分布滞后 (ARDL) 和非自回归分布滞后 (NARDL) 界限检验方法的结果表明,由于 COVID-19 大流行,倒 N 形 EKC 假设在长期内得到验证。实证研究发现,油价强化了经济增长与环境质量的水平、二次、三次关系,而石油租金削弱了这种关系。此外,在 COVID-19 爆发的情况下对油价的长期正面冲击与对 CO 2的负面冲击并不相似排放,意味着长期存在对二氧化碳排放的不对称影响。我们的研究表明,油价冲击可能对沙特经济的宏观指导是明智的。我们的研究结果有助于决策者和投资者的结算规划,因为它们可用于评估 COVID-19 冲击下经济盈利能力的预期过程。

更新日期:2021-02-10
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