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This paper offers a quantitative assessment of the impacts of the COVID-19 pandemic-induced lockdown and government fiscal plan, containing 'green' elements on the economy and the environment of South Africa. The analysis uses a dynamic computable general equilibrium model operationalised using a social accounting matrix coupled with a greenhouse gas balance and emissions data. We find that while the economy is harshly impacted by the pandemic in the short term, the government fiscal package ameliorates and cushions the negative effects on poor households. Importantly, an adaptation of the fiscal package towards a 'greener' policy achieves the same economic outcome and reduces unemployment. Carbon dioxide emissions decrease in the short run due to economic slowdown. This improvement persists until 2030. These results can be used as decision support for policy makers on how to orient the post COVID-19 policies to be pro-poor and pro-environment, and thus, 'build back better and fairer'. [ABSTRACT FROM AUTHOR]

Government policies during the COVID-19 pandemic have drastically altered patterns of energy demand around the world. Many international borders have been closed and populations have been confined to their homes, which has reduced transport and changed consumption patterns. A decrease in CO2 emissions and pollution has thus been recorded during forced confinements. This has offered a glimpse of how the world might look like with a drastic reduction of human impact. The present paper explores how facts are framed in news discourse and investigates the recontextualization of the environmental issue in news media. The study analyses a collection of news articles about the consequences of coronavirus on the environment published on the websites of the major news channels in the UK, namely BBC News and Sky News. This CDA investigation studies how the UK news outlets re-mediated scientific knowledge about climate change to emphasise or minimise the positive consequences of confinement on the planet. [ABSTRACT FROM AUTHOR]

In recent years, as China's peaking carbon dioxide emissions and air pollution control projects have converged, scholars have begun to focus on the synergistic mechanisms of greenhouse gas and pollution gas reduction. In 2020, the unprecedented coronavirus pandemic, which led to severe nationwide blockade measures, unexpectedly provided a valuable opportunity to study the synergistic reduction in greenhouse gases and polluting gases. This paper uses a combination of NO2, O3, and CO2 column concentration products from different satellites and surface concentrations from ground-based stations to investigate potential correlations between these monitoring indicators in four Chinese representative cities. We found that XCO2 decreased in March to varying degrees in different cities. It was witnessed that the largest decrease in CO2, −1.12 ppm, occurred in Wuhan, i.e., the first epicenter of COVID-19. We also analyzed the effects of NO2 and O3 concentrations on changes in XCO2. First, in 2020, we used a top-down approach to obtain the conclusion that the change amplitude of NO2 concentration in Beijing, Shanghai, Guangzhou, and Wuhan were −24%, −18%, −4%, and −39%, respectively. Furthermore, the O3 concentration increments were 5%, 14%, 12%, and 14%. Second, we used a bottom-up approach to obtain the conclusion that the monthly averaged NO2 concentrations in Beijing, Shanghai, and Wuhan in March had the largest changes, changing to −39%, −40%, and −61%, respectively. The corresponding amounts of changes in monthly averaged O3 concentrations were −14%, −2%, and 9%. However, the largest amount of change in monthly averaged NO2 concentration in Guangzhou was found in December 2020, with a value of −40%. The change in O3 concentration was −12% in December. Finally, we analyzed the relationship of NO2 and O3 concentrations with XCO2. Moreover, the results show that the effect of NO2 concentration on XCO2 is positively correlated from the point of the satellite (R = 0.4912) and the point of the ground monitoring stations (R = 0.3928). Surprisingly, we found a positive (in satellite observations and R = 0.2391) and negative correlation (in ground monitoring stations and R = 0.3333) between XCO2 and the O3 concentrations. During the epidemic period, some scholars based on model analysis found that Wuhan's carbon emissions decreased by 16.2% on average. Combined with satellite data, we estimate that Wuhan's XCO2 fell by about 1.12 ppm in February. At last, the government should consider reducing XCO2 and NO2 concentration at the same time to make a synergistic reduction. [ABSTRACT FROM AUTHOR]

COVID-19, declared by the World Health Organization (WHO) to be a pandemic, has affected greenhouse gas emissions and contributed to the uncertainty of environmental activities. This study demonstrates the effect of lockdowns, the number of new confirmed cases, and the number of newly confirmed deaths due to COVID-19 on CO2 emissions. The data series used are for the UK from 23 March 2020 to 31 December 2020 and for Spain from 14 March 2020 to 31 December 2020. This research adopted the Augmented Dickey–Fuller (ADF) test for a stationarity check of the data series, the Johansen cointegration test for determining cointegration among variables, and the vector error correction model (VEC) Granger causality test for directional cause and effect between exogenous and endogenous variables. The VEC model shows a bidirectional relationship between CO2 emissions and lockdown and a unidirectional relationship with newly confirmed cases and deaths for the UK. The results of Spain confirmed the unidirectional relationship of CO2 emissions, lockdown, new confirmed cases, and deaths. The Granger causality test reconfirms the relationship of variables except for newly confirmed deaths for the UK and newly confirmed cases for Spain. Conclusively, the pandemic breakout reduced the emission of CO2. The directional relation of variables supported the short-run relationship of CO2 emissions with newly confirmed cases and deaths, while a long- and short-run relationship was shown with lockdown. The directional and relational behavior of lockdown potentially linked the CO2 emissions with daily life activities. [ABSTRACT FROM AUTHOR]