Suppr超能文献

中东和北非国家各来源的一氧化碳排放与能源消耗分析:分位数回归的证据

Analysis of CO emissions and energy consumption by sources in MENA countries: evidence from quantile regressions.

作者信息

Alharthi Majed, Dogan Eyup, Taskin Dilvin

机构信息

Finance Department, College of Business, King Abdulaziz University, P.O. Box 344, Rabigh 21911, Saudi Arabia.

Department of Finance and Economics, University of Sharjah, Sharjah, UAE.

出版信息

Environ Sci Pollut Res Int. 2021 Aug;28(29):38901-38908. doi: 10.1007/s11356-021-13356-0. Epub 2021 Mar 20.

Abstract

The development of economies and energy usage can significantly impact the carbon dioxide (CO) emissions in the Middle East and North Africa (MENA) countries. Therefore, this study aims to analyze the factors that determine CO emissions in MENA under the environmental Kuznets curve (EKC) framework by applying novel quantile techniques on data for CO emissions, real income, renewable and non-renewable energy consumption, and urbanization over the period from 1990 to 2015. The results from the estimations suggest that renewable energy consumption significantly reduces the level of emissions; furthermore, its impact increases with higher quantiles. In addition, non-renewable energy consumption increases CO emissions, while its magnitude decreases with higher quantiles. The empirical results also confirm the validity of EKC hypothesis for the panel of MENA economies. Policymakers in the region should implement policies and regulations to promote the adoption and use of renewable energy to mitigate carbon emissions.

摘要

经济发展和能源使用会对中东和北非(MENA)国家的二氧化碳(CO)排放产生重大影响。因此,本研究旨在通过对1990年至2015年期间的CO排放、实际收入、可再生和不可再生能源消耗以及城市化数据应用新颖的分位数技术,在环境库兹涅茨曲线(EKC)框架下分析决定中东和北非地区CO排放的因素。估计结果表明,可再生能源消耗显著降低了排放水平;此外,其影响随着分位数的提高而增加。此外,不可再生能源消耗增加了CO排放,但其幅度随着分位数的提高而减小。实证结果也证实了EKC假说对中东和北非经济体面板的有效性。该地区的政策制定者应实施政策和法规,以促进可再生能源的采用和使用,从而减少碳排放。

相似文献

2
Investigating the EKC hypothesis with disaggregated energy use and multi-sector production.研究离散能源利用和多部门生产的 EKC 假说。
Environ Sci Pollut Res Int. 2023 Nov;30(54):116397-116411. doi: 10.1007/s11356-023-30579-5. Epub 2023 Nov 1.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验