Shuai Zhai, Iqbal Najaf, Hussain Rai Imtiaz, Shahzad Farrukh, Yan Yong, Fareed Zeeshan
School of Economics and Management, Huzhou University, Huzhou, Zhejiang China.
School of Finance, Anhui University of Finance and Economics, Bengbu, Anhui China.
Environ Dev Sustain. 2022;24(6):8464-8484. doi: 10.1007/s10668-021-01794-2. Epub 2021 Sep 23.
The world needs to get out of the COVID-19 pandemic smoothly through a thorough socio-economic recovery. The first and the foremost step forward in this direction is the health recovery of the people infected. Our empirical study addresses this neglected point in the recent research on COVID-19 and specifically aims at exploring the impact of the environment on health recovery from COVID-19. The sample data are taken during the lockdown period in Wuhan, i.e., from 23rd January 2020 to 8th April 2020. The recently developed econometric technique of Quantile-on-Quantile regression, proposed by Shin and Zhu (2016) is employed to capture the asymmetric association between environmental factors (TEMP, HUM, PM, PM, CO, SO, NO, and O) and the number of recovered patients from COVID-19. We observe significant heterogeneity in the association among variables across various quantiles. The findings suggest that TEMP, PM, PM, CO, NO and O are negatively related to the COVID-19 recovery, while HUM and SO show a positive association at most quantiles. The study recommends that maintaining a safe and comfortable environment for the patients may increase the chances of recovery from COVID-19. The success story of Wuhan, the initial epicenter of the novel coronavirus in China, can serve as an important case study for other countries to bring the outbreak under control. The current study could be conducive for the policymakers of those countries where the COVID-19 pandemic is still unrestrained.
世界需要通过全面的社会经济复苏平稳走出新冠疫情大流行。朝着这个方向迈出的首要一步是感染人群的健康恢复。我们的实证研究关注了新冠疫情近期研究中这一被忽视的要点，特别旨在探究环境对新冠康复的影响。样本数据取自武汉封城期间，即2020年1月23日至2020年4月8日。我们采用了Shin和Zhu（2016）最近提出的分位数对分位数回归这一计量经济学技术，以捕捉环境因素（温度、湿度、细颗粒物、可吸入颗粒物、一氧化碳、二氧化硫、氮氧化物和臭氧）与新冠康复患者数量之间的非对称关联。我们观察到不同分位数下变量之间的关联存在显著异质性。研究结果表明，温度、细颗粒物、可吸入颗粒物、一氧化碳、氮氧化物和臭氧与新冠康复呈负相关，而湿度和二氧化硫在大多数分位数下呈正相关。该研究建议，为患者维持一个安全舒适的环境可能会增加从新冠中康复的几率。中国新冠疫情最初的震中武汉的成功经验，可为其他国家控制疫情提供重要的案例研究。当前的研究可能有助于那些新冠疫情仍未得到控制的国家的政策制定者。
