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新冠疫情对美国可再生和不可再生能源消费的影响:基于分位数-分位数回归方法的部门分析。

The impact of COVID-19 on the US renewable and non-renewable energy consumption: a sectoral analysis based on quantile on quantile regression approach.

机构信息

School of Economics and Management, Panzhihua University, Panzhihua, 617000, Sichuan, China.

Department of Management Sciences, City University of Hong Kong, HKSAR, China.

出版信息

Environ Sci Pollut Res Int. 2022 Dec;29(60):90419-90434. doi: 10.1007/s11356-022-22054-4. Epub 2022 Jul 23.

DOI:10.1007/s11356-022-22054-4
PMID:35870063
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9307439/
Abstract

The repercussions of the novel coronavirus (COVID-19) pandemic go well beyond health concerns, affecting virtually every aspect of our lives, including daily energy consumption. Therefore, this study explores the impact of COVID-19 on renewable and non-renewable energy consumption in the USA, which has been severely affected by the recent pandemic. We conducted a detailed analysis of the energy consumption demands of various sectors in response to the COVID-19 outbreak. Our in-depth analysis comprises two parts. Initially, we determine the monthly growth change by utilizing the month-on-month method. Subsequently, we used the quantile-on-quantile approach of Sim and Zhou (2015) on data spanning from December 2019 to August 2021 to explore the impact of COVID-19 on energy consumption across the whole distribution. The study's outcomes underscored that compared to renewable energy, non-renewable energy consumption was more affected by the COVID-19 lockdown, and the overall energy consumption (both renewable and non-renewable) remained low. These findings accentuate global strategic management tools to tackle COVID-19 cooperatively and restore the energy mix. Such measures are critical for energy access, security, and evenhandedness.

摘要

新型冠状病毒(COVID-19)疫情的影响远远超出了健康问题,几乎影响到我们生活的方方面面,包括日常能源消耗。因此,本研究探讨了 COVID-19 对美国可再生和不可再生能源消费的影响,美国近期的疫情对其产生了严重影响。我们对 COVID-19 爆发期间各部门的能源消费需求进行了详细分析。我们的深入分析包括两个部分。首先,我们利用月度方法确定每月的增长变化。随后,我们使用 Sim 和 Zhou(2015)的数据分位数-分位数方法来探索 COVID-19 对 2019 年 12 月至 2021 年 8 月期间整个分布的能源消费的影响。研究结果强调,与可再生能源相比,不可再生能源消费受 COVID-19 封锁的影响更大,整体能源消费(包括可再生和不可再生)仍然较低。这些发现强调了全球战略管理工具在合作应对 COVID-19 并恢复能源组合方面的重要性。这些措施对于能源获取、安全甚至公平性至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fb8/9307439/ce53574f8865/11356_2022_22054_Fig8a_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fb8/9307439/ddca03f733d0/11356_2022_22054_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fb8/9307439/0fe838d3ce64/11356_2022_22054_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fb8/9307439/53f2921bd5c1/11356_2022_22054_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fb8/9307439/5838b31e783b/11356_2022_22054_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fb8/9307439/ac2e244f0031/11356_2022_22054_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fb8/9307439/6b83a3dcb415/11356_2022_22054_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fb8/9307439/b557b2d7f562/11356_2022_22054_Fig7a_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fb8/9307439/ce53574f8865/11356_2022_22054_Fig8a_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fb8/9307439/ddca03f733d0/11356_2022_22054_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fb8/9307439/0fe838d3ce64/11356_2022_22054_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fb8/9307439/53f2921bd5c1/11356_2022_22054_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fb8/9307439/5838b31e783b/11356_2022_22054_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fb8/9307439/ac2e244f0031/11356_2022_22054_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fb8/9307439/6b83a3dcb415/11356_2022_22054_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fb8/9307439/b557b2d7f562/11356_2022_22054_Fig7a_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fb8/9307439/ce53574f8865/11356_2022_22054_Fig8a_HTML.jpg

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