The Nexus Between COVID-19 Factors and Air Pollution

被引:0
|
作者
Parvin, Rehana [1 ,2 ]
机构
[1] Int Univ Business Agr & Technol, Dept Stat, Dhaka, Bangladesh
[2] Int Univ Business Agr & Technol IUBAT, Dept Quantitat Sci, 4 Embankment Dr Rd,Sect 10, Dhaka 1230, Bangladesh
来源
关键词
Bound test; greenhouse gas emissions; nonlinear autoregressive distributed lag; Coronavirus-19; Bangladesh; fine particulate matter; ENERGY;
D O I
10.1177/11786302231164288
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
BACKGROUND AND OBJECTIVE: There have been significant effects of the current coronavirus-19 (COVID-19) infection outbreak on many facets of everyday life, particularly the environment. Despite the fact that a number of studies have already been published on the topic, an analysis of those studies' findings on COVID-19's effects on environmental pollution is still lacking. The goal of the research is to look into greenhouse gas emissions and air pollution in Bangladesh when COVID-19 is under rigorous lockdown. The specific drivers of the asymmetric relationship between air pollution and COVID-19 are being investigated. Methods : The nonlinear relationship between carbon dioxide (CO2) emissions, fine particulate matter (PM2.5) and COVID-19, as well as its precise components, are also being investigated. To examine the asymmetric link between COVID-19 factors on CO2 emissions and PM2.5, we employed the nonlinear autoregressive distributed lag (NARDL) model. Daily positive cases and daily confirmed death by COVID19 are considered the factors of COVID-19, with lockdown as a dummy variable. Results : The bound test confirmed the existence of long-run and short-run relationships between variables. Bangladesh's strict lockdown, enforced in reaction to a surge of COVID-19 cases, reduced air pollution and dangerous gas emissions, mainly CO2, according to the dynamic multipliers graph.
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页数:13
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