Asymmetric linkages between pandemic uncertainty and environmental quality: Evidence from emerging economies

IF 4 4区 环境科学与生态学 Q2 ENVIRONMENTAL STUDIES
Wen-Chen Chang, Xinjian Zhou, Raima Nazar
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Abstract

The current COVID-19 pandemic was a huge shock, influencing a wide range of socioeconomic measures, including the environment. The issue of how the uncertainty caused by pandemics will influence environmental quality is critical. This research examines the nonlinear relationship between pandemic uncertainty and environmental quality across leading polluted emerging economies (China, India, Russia, Indonesia, Brazil, Mexico, Iran, Saudi Arabia, South Africa, and Turkey). Using data ranging from 1996 to 2020, a distinctive approach, ‘Quantile-on-Quantile’, is used. Greenhouse gas emissions (GHG) are adopted as a proxy for environmental quality. The outcomes analyze how pandemic uncertainty's quantiles influence the quantiles of GHG asymmetrically, giving an efficient paradigm for grasping the entire dependence structure. The findings show that pandemic uncertainty improves environmental quality by decreasing GHG in our sample economies at diverse quantiles. Higher levels of GHG (75th–90th quantiles) suggest a strong negative association between pandemic uncertainty and GHG in the majority of nations. The magnitude of the coefficients helps to explain why pandemic uncertainty has a significantly greater impact on GHG in Mexico and Turkey (with a coefficient size of −2) compared to Russia, India, and South Africa, where the effect is considerably smaller (with a coefficient size of −0.05). Furthermore, the rank of asymmetry in our chosen variables fluctuates by nation, underscoring the prominence of governments exercising caution and prudence while implementing pandemic-based uncertainty and environmental quality measures.
流行病不确定性与环境质量之间的不对称联系:来自新兴经济体的证据
当前的COVID-19大流行是一个巨大的冲击,影响了包括环境在内的广泛的社会经济指标。流行病造成的不确定性将如何影响环境质量的问题至关重要。本研究考察了主要污染新兴经济体(中国、印度、俄罗斯、印度尼西亚、巴西、墨西哥、伊朗、沙特阿拉伯、南非和土耳其)大流行不确定性与环境质量之间的非线性关系。使用1996年至2020年的数据,采用了一种独特的方法,即“分位数对分位数”。采用温室气体排放(GHG)作为环境质量的指标。结果分析了大流行不确定性的分位数如何不对称地影响温室气体的分位数,为掌握整个依赖结构提供了一个有效的范例。研究结果表明,大流行的不确定性通过减少不同分位数的样本经济体中的温室气体来改善环境质量。较高的温室气体水平(第75 - 90分位数)表明,在大多数国家,大流行的不确定性与温室气体之间存在强烈的负相关。系数的大小有助于解释为什么与影响较小的俄罗斯、印度和南非相比,大流行不确定性对墨西哥和土耳其(系数值为- 2)的温室气体的影响要大得多(系数值为- 0.05)。此外,我们所选变量的不对称程度因国家而异,强调了政府在实施基于大流行病的不确定性和环境质量措施时采取谨慎和审慎态度的重要性。
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来源期刊
Energy & Environment
Energy & Environment ENVIRONMENTAL STUDIES-
CiteScore
7.60
自引率
7.10%
发文量
157
期刊介绍: Energy & Environment is an interdisciplinary journal inviting energy policy analysts, natural scientists and engineers, as well as lawyers and economists to contribute to mutual understanding and learning, believing that better communication between experts will enhance the quality of policy, advance social well-being and help to reduce conflict. The journal encourages dialogue between the social sciences as energy demand and supply are observed and analysed with reference to politics of policy-making and implementation. The rapidly evolving social and environmental impacts of energy supply, transport, production and use at all levels require contribution from many disciplines if policy is to be effective. In particular E & E invite contributions from the study of policy delivery, ultimately more important than policy formation. The geopolitics of energy are also important, as are the impacts of environmental regulations and advancing technologies on national and local politics, and even global energy politics. Energy & Environment is a forum for constructive, professional information sharing, as well as debate across disciplines and professions, including the financial sector. Mathematical articles are outside the scope of Energy & Environment. The broader policy implications of submitted research should be addressed and environmental implications, not just emission quantities, be discussed with reference to scientific assumptions. This applies especially to technical papers based on arguments suggested by other disciplines, funding bodies or directly by policy-makers.
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