scholarly journals Measuring the Impact of Multiple Air Pollution Agreements on Global CO2 Emissions

2016 ◽  
Vol 92 (3) ◽  
pp. 534-554 ◽  
Author(s):  
A. Slechten ◽  
V. Verardi
2021 ◽  
Vol 13 (8) ◽  
pp. 4166
Author(s):  
Ying Chen ◽  
Xiaoqian Shen ◽  
Li Wang

While economic growth has been the main goal of countries around the world, environmental problems such as air pollution have also arisen. Since the increase in economic uncertainty is limiting production capacity and consumers’ marginal propensity to consume, which reduces CO2 emissions, economic policy uncertainty has become one of the most important factors affecting CO2 emissions. COVID-19 has demonstrated that economic policy uncertainty reduces the enthusiasm of market participants, which, in turn, reduces energy demand and CO2 emissions. In order to further study the impact of economic policy uncertainty on air pollution, this study uses a panel model to empirically test the data for a sample of 15 countries covering the period from 1997 to 2019. According to the empirical results, we find that the economic policy uncertainty has a significant negative impact on per capita CO2 emissions. That is, the higher the uncertainty of economic policy, the lower the per capita CO2 emissions of countries. What’s more, this negative effect is larger in emerging market countries than in advanced countries.


2021 ◽  
Author(s):  
Guillaume Chossiere ◽  
Sebastian Eastham ◽  
Alan Jenn ◽  
Florian Allroggen ◽  
Steven Barrett

Abstract In China, replacing gasoline cars with electric vehicles (EVs) is at the center of a strategy to reduce air pollution and CO2 emissions from transportation. Previous estimates of the benefits of vehicle electrification quantified the impact of EV use on on-road and power generation emissions only, thereby neglecting gasoline production. This study presents the first “use-cycle” analysis of EVs in China, including changes in emissions from transportation, power generation, and oil refineries. We use the GEOS-Chem atmospheric chemistry transport model to quantify how each sector contributes to the net impacts of EV use on air pollution (PM2.5 and ozone) in China. We find that the projected growth in EV usage by the end of 2020 results in ~1,900 (95% CI: 1,600–2,200) avoided premature mortalities annually and a 2.4 Mton decrease in CO2 emissions. 70% of the total reduction in mortality is due to avoided refinery emissions. As refinery emissions become more tightly regulated, our work implies that the power generation sector must also become cleaner for EVs to remain beneficial.


2016 ◽  
Vol 21 (1) ◽  
pp. 9-20
Author(s):  
Ersalina Tang

The purpose of this study is to analyze the impact of Foreign Direct Investment, Gross Domestic Product, Energy Consumption, Electric Consumption, and Meat Consumption on CO2 emissions of 41 countries in the world using panel data from 1999 to 2013. After analyzing 41 countries in the world data, furthermore 17 countries in Asia was analyzed with the same period. This study utilized quantitative approach with Ordinary Least Square (OLS) regression method. The results of 41 countries in the world data indicates that Foreign Direct Investment, Gross Domestic Product, Energy Consumption, and Meat Consumption significantlyaffect Environmental Qualities which measured by CO2 emissions. Whilst the results of 17 countries in Asia data implies that Foreign Direct Investment, Energy Consumption, and Electric Consumption significantlyaffect Environmental Qualities. However, Gross Domestic Product and Meat Consumption does not affect Environmental Qualities.


Oil Shale ◽  
2011 ◽  
Vol 28 (2) ◽  
pp. 337
Author(s):  
J PAVLENKOVA ◽  
M KAASIK ◽  
E-S KERNER ◽  
A LOOT ◽  
R OTS

2020 ◽  
Vol 7 (1) ◽  
pp. 91
Author(s):  
Júlio Barboza Chiquetto ◽  
Maria Elisa Siqueira Silva ◽  
Rita Yuri Ynoue ◽  
Flávia Noronha Dutra Ribieiro ◽  
Débora Souza Alvim ◽  
...  

A poluição do ar é influenciada por fatores naturais e antropogênicos. Quatro pontos de monitoramento (veicular, comercial, residencial e background urbano (BGU))da poluição do ar em São Paulo foram avaliados durante 16 anos, revelando diferenças significativas devidoao uso do solo em todas as escalas temporais. Na escala diurna, as concentrações de poluentes primários são duas vezes mais altas nos pontos veicular e residencial do que no ponto BGU, onde a concentração de ozonio (O3) é 50% mais alta. Na escala sazonal, as concentrações de monóxido de carbono(CO) variaram em 80% devido ao uso do solo, e 55% pela sazonalidade.As variações sazonais ede uso do solo exercem impactos similares nas concentrações de O3 e monóxido de nitrogênio (NO). Para o material particulado grosso (MP10) e o dióxido de nitrogênio(NO2), as variações sazonais são mais intensas do que as por uso do solo. Na série temporal de 16 anos, o ponto BGU apresentou correlações mais fortes e significativas entre a média mensal de ondas longas (ROL) e o O3 (0,48) e o MP10 (0,37), comparadas ao ponto veicular (0,33 e 0,22, respectivamente). Estes resultados confirmam que o uso do solo urbano tem um papel significativo na concentração de poluentes em todas as escalas de análise, embora a sua influência se torne menos pronunciada em escalas maiores, conforme a qualidade do ar transita de um sistema antropogênico para um sistema natural. Isto poderá auxiliar decisões sobre políticas públicas em megacidades envolvendo a modificação do uso do solo.


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