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How natural disasters affect carbon emissions: the global case

Authors: Dou, Yue; Shahbaz, Muhammad; Dong, Kangyin; Dong, Xiucheng;

How natural disasters affect carbon emissions: the global case

Abstract

The outbreak of the COVID-19 pandemic has once again made the impacts of natural disasters a hot topic in academia. The environmental impacts of natural disasters, however, remain unsettled in the existing literature. This study aims to investigate the impact of natural disasters on CO2 emissions. For this purpose, we employ a panel dataset covering 138 countries over the period 1990-2018 and two dynamic panel estimation methods. Then, considering the differences in CO2 emissions across various countries, we run a panel quantile regression to examine the asymmetry in the nexus between natural disasters and CO2 emissions. We also discuss the mediating effects of energy consumption between natural disasters and CO2 emissions. After conducting a series of robustness checks, we confirm that our results are stable and convincing. The empirical results indicate that natural disasters significantly reduce CO2 emissions. Nevertheless, the impact of natural disasters on CO2 emissions is asymmetric across different quantiles of CO2 emissions. Furthermore, the technology level serves as an important moderating factor between natural disasters and CO2 emissions. The mediating effect results reveal that natural disasters not only directly reduce CO2 emissions but also indirectly promote carbon reduction by restraining energy consumption. Finally, several policy implications are provided to reduce CO2 emissions and the damage caused by natural disasters.

Country
United Kingdom
Keywords

Original Paper, Asymmetry, CO2 emissions, Mediating effect, Natural disasters, Global analysis

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    11
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Average
Top 10%
Green