Department of Agricultural and Applied Economics, Texas Tech University, Lubbock, TX, USA.
Estudios Y Evaluación de La Gestión Pública Colombian, Colombia, USA.
Sci Rep. 2023 Aug 8;13(1):12851. doi: 10.1038/s41598-023-38962-5.
Covid-19 has brought about significant changes in people's daily lives, leading to a slowdown in economic activities and the implementation of restrictions and lockdowns. As a result, there have been noticeable effects on the environment. In this study, we examine the impact of Covid-19 total cases on the monthly average of carbon monoxide emissions in developed economies known for heavy pollution, covering the period from 2014 to 2023. We apply the Ambiental Kuznets curve approach to analyze the data. By employing different panel estimation techniques such as fixed effects and Driscoll-Kraay regressions, we observe a marked shift in environmental dynamics during the post-Covid era. This shift alters the statistical significance of the N-shaped Kuznets curve, rendering the relationship between economic activity and environmental impact non-significant. Interestingly, the Covid-related variables utilized in the various estimations are not statistically significant in explaining the long-term environmental effects.
新冠疫情给人们的日常生活带来了重大变化，导致经济活动放缓，并实施了限制和封锁措施。因此，环境受到了明显的影响。在这项研究中，我们考察了新冠疫情总病例对发达经济体（以污染严重著称）每月平均一氧化碳排放量的影响，研究期间为 2014 年至 2023 年。我们采用环境库兹涅茨曲线方法来分析数据。通过使用不同的面板估计技术，如固定效应和 Driscoll-Kraay 回归，我们观察到在新冠疫情后时代，环境动态发生了显著变化。这种变化改变了 N 形库兹涅茨曲线的统计显著性，使得经济活动与环境影响之间的关系变得不显著。有趣的是，在各种估计中使用的与新冠相关的变量在解释长期环境影响方面并不具有统计学意义。
