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The Nexus Between COVID-19 Factors and Air Pollution
by
Parvin, Rehana
in
Air pollution
/ Asymmetry
/ Carbon dioxide
/ Coronaviruses
/ COVID-19
/ Emissions
/ Environmental effects
/ Greenhouse gases
/ Original Research
/ Particulate emissions
/ Particulate matter
/ Pollution control
/ Viral diseases
2023
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The Nexus Between COVID-19 Factors and Air Pollution
by
Parvin, Rehana
in
Air pollution
/ Asymmetry
/ Carbon dioxide
/ Coronaviruses
/ COVID-19
/ Emissions
/ Environmental effects
/ Greenhouse gases
/ Original Research
/ Particulate emissions
/ Particulate matter
/ Pollution control
/ Viral diseases
2023
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
The Nexus Between COVID-19 Factors and Air Pollution
by
Parvin, Rehana
in
Air pollution
/ Asymmetry
/ Carbon dioxide
/ Coronaviruses
/ COVID-19
/ Emissions
/ Environmental effects
/ Greenhouse gases
/ Original Research
/ Particulate emissions
/ Particulate matter
/ Pollution control
/ Viral diseases
2023
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Journal Article
The Nexus Between COVID-19 Factors and Air Pollution
2023
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Overview
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 (
C
O
2
) emissions, fine particulate matter
(
P
M
2
.
5
)
,
and COVID-19, as well as its precise components, are also being investigated. To examine the asymmetric link between COVID-19 factors on
C
O
2
emissions and
P
M
2
.
5
,
we employed the nonlinear autoregressive distributed lag (NARDL) model. Daily positive cases and daily confirmed death by COVID-19 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
C
O
2
,
according to the dynamic multipliers graph.
Publisher
SAGE Publications,Sage Publications Ltd,SAGE Publishing
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