The impacts of COVID-19 pandemic on air pollution from energy consumption: diverse evidence from China
International Journal of Green Energy
; 19(1):84-94, 2022.
Article
in English
| CAB Abstracts | ID: covidwho-2286063
ABSTRACT
Based on panel data of 31 provincial capital cities in the country from January 21 to November 20, 2020, this research empirically analyzes the impacts of daily newly confirmed cases and daily new deaths from COVID-19 on PM10, PM2.5, SO2, CO, and NO2 emissions form green energy consumption by using the method of System Generalized Moments (SYS-GMM). We conclude that the COVID-19 pandemic has an inhibitory effect on all types of emissions, in that a greater number of confirmed cases and deaths brings about more stringent anti-epidemic policies, fewer emissions, and better air quality in China. Moreover, we use the methods of sample segmentation, cross-sectional regression, and pollutant emissions of the top three cities in terms of GDP to test their robustness. Overall, our evidence advances the debate over air quality after COVID-19, and that evidence from China provides beneficial experiences that correlate to its provincial data.
Prion; Viral; Bacterial and Fungal Pathogens of Humans [VV210], Pollution and Degradation [PP600], Energy [PP100], coronavirus disease 2019, viral diseases, human diseases, energy consumption, pandemics, air pollution, cities, particulate matter, air pollutants, public health, emissions, mortality, air quality, Severe acute respiratory syndrome coronavirus 2, man, China, APEC countries, East Asia, Asia, high Human Development Index countries, upper-middle income countries, Severe acute respiratory syndrome-related coronavirus, Betacoronavirus, Coronavirinae, Coronaviridae, Nidovirales, positive-sense ssRNA Viruses, ssRNA Viruses, RNA Viruses, viruses, Homo, Hominidae, primates, mammals, vertebrates, Chordata, animals, eukaryotes, People's Republic of China, SARS-CoV-2, viral infections, energy use, energy utilization, atmospheric pollution, death rate
Full text:
Available
Collection:
Databases of international organizations
Database:
CAB Abstracts
Type of study:
Experimental Studies
Language:
English
Journal:
International Journal of Green Energy
Year:
2022
Document Type:
Article
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