{"title":"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","authors":"Wen-Chen Chang, Xinjian Zhou, Raima Nazar","doi":"10.1177/0958305X231169271","DOIUrl":null,"url":null,"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.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"68 1","pages":""},"PeriodicalIF":4.0000,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Asymmetric linkages between pandemic uncertainty and environmental quality: Evidence from emerging economies\",\"authors\":\"Wen-Chen Chang, Xinjian Zhou, Raima Nazar\",\"doi\":\"10.1177/0958305X231169271\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":11652,\"journal\":{\"name\":\"Energy & Environment\",\"volume\":\"68 1\",\"pages\":\"\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2023-05-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Energy & Environment\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1177/0958305X231169271\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy & Environment","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1177/0958305X231169271","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
Asymmetric linkages between pandemic uncertainty and environmental quality: Evidence from emerging economies
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.
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.