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Asymmetric impact of pandemics-related uncertainty on CO(2) emissions: evidence from top-10 polluted countries

The recent COVD-19 pandemic has been a major shock, affecting various macroeconomic indicators, including the environmental quality. The question of how the pandemics-related uncertainty will affect the environment is of paramount importance. The study analyzes the asymmetric impact of pandemic unce...

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Autores principales: Chang, Lei, Chen, Kaiming, Saydaliev, Hayot Berk, Faridi, Muhammad Zahir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9288206/
https://www.ncbi.nlm.nih.gov/pubmed/35873500
http://dx.doi.org/10.1007/s00477-022-02248-5
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author Chang, Lei
Chen, Kaiming
Saydaliev, Hayot Berk
Faridi, Muhammad Zahir
author_facet Chang, Lei
Chen, Kaiming
Saydaliev, Hayot Berk
Faridi, Muhammad Zahir
author_sort Chang, Lei
collection PubMed
description The recent COVD-19 pandemic has been a major shock, affecting various macroeconomic indicators, including the environmental quality. The question of how the pandemics-related uncertainty will affect the environment is of paramount importance. The study analyzes the asymmetric impact of pandemic uncertainty on CO(2) emissions in top-10 polluted economies (China, USA, India, Russia, Germany, Japan, Iran, South Korea, Indonesia, and Saudi Arabia). Taking panel data from 1996 to 2018, a unique technique, 'Quantile-on-Quantile (QQ)', is employed. CO(2) emissions are used as an indicator of environmental quality. The outcomes define how the quantiles of pandemic uncertainty impact the quantiles of carbon emissions asymmetrically by providing an effective paradigm for comprehending the overall dependence framework. The outcomes reveal that pandemic uncertainty promotes environmental quality by lowering CO(2) emissions in our sample countries at various quantiles. However, Japan shows mixed findings. The effect of PUN on CO(2) is substantially larger in India, Germany, and South Korea and lower in Russia and Saudi Arabia. Furthermore, the magnitude of asymmetry in the pandemic uncertainty-CO(2) emissions association differs by economy, emphasizing that government must pay particular caution and prudence when adopting pandemics-related uncertainty and environmental quality policies.
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spelling pubmed-92882062022-07-18 Asymmetric impact of pandemics-related uncertainty on CO(2) emissions: evidence from top-10 polluted countries Chang, Lei Chen, Kaiming Saydaliev, Hayot Berk Faridi, Muhammad Zahir Stoch Environ Res Risk Assess Original Paper The recent COVD-19 pandemic has been a major shock, affecting various macroeconomic indicators, including the environmental quality. The question of how the pandemics-related uncertainty will affect the environment is of paramount importance. The study analyzes the asymmetric impact of pandemic uncertainty on CO(2) emissions in top-10 polluted economies (China, USA, India, Russia, Germany, Japan, Iran, South Korea, Indonesia, and Saudi Arabia). Taking panel data from 1996 to 2018, a unique technique, 'Quantile-on-Quantile (QQ)', is employed. CO(2) emissions are used as an indicator of environmental quality. The outcomes define how the quantiles of pandemic uncertainty impact the quantiles of carbon emissions asymmetrically by providing an effective paradigm for comprehending the overall dependence framework. The outcomes reveal that pandemic uncertainty promotes environmental quality by lowering CO(2) emissions in our sample countries at various quantiles. However, Japan shows mixed findings. The effect of PUN on CO(2) is substantially larger in India, Germany, and South Korea and lower in Russia and Saudi Arabia. Furthermore, the magnitude of asymmetry in the pandemic uncertainty-CO(2) emissions association differs by economy, emphasizing that government must pay particular caution and prudence when adopting pandemics-related uncertainty and environmental quality policies. Springer Berlin Heidelberg 2022-07-16 2022 /pmc/articles/PMC9288206/ /pubmed/35873500 http://dx.doi.org/10.1007/s00477-022-02248-5 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Paper
Chang, Lei
Chen, Kaiming
Saydaliev, Hayot Berk
Faridi, Muhammad Zahir
Asymmetric impact of pandemics-related uncertainty on CO(2) emissions: evidence from top-10 polluted countries
title Asymmetric impact of pandemics-related uncertainty on CO(2) emissions: evidence from top-10 polluted countries
title_full Asymmetric impact of pandemics-related uncertainty on CO(2) emissions: evidence from top-10 polluted countries
title_fullStr Asymmetric impact of pandemics-related uncertainty on CO(2) emissions: evidence from top-10 polluted countries
title_full_unstemmed Asymmetric impact of pandemics-related uncertainty on CO(2) emissions: evidence from top-10 polluted countries
title_short Asymmetric impact of pandemics-related uncertainty on CO(2) emissions: evidence from top-10 polluted countries
title_sort asymmetric impact of pandemics-related uncertainty on co(2) emissions: evidence from top-10 polluted countries
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9288206/
https://www.ncbi.nlm.nih.gov/pubmed/35873500
http://dx.doi.org/10.1007/s00477-022-02248-5
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