分位数
温室气体
自然资源经济学
大流行
经济
环境质量
分位数回归
休克(循环)
新兴市场
发展经济学
地理
计量经济学
2019年冠状病毒病(COVID-19)
宏观经济学
政治学
医学
生态学
疾病
病理
传染病(医学专业)
内科学
法学
生物
作者
Chang Wentao,Xin Zhou,Raima Nazar
标识
DOI:10.1177/0958305x231169271
摘要
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 (75 th –90 th 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.
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