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Effect of Battery Electric Vehicles on Greenhouse Gas Emissions in 29 European Union Countries

doi: 10.3390/su132413611
handle: 10316/105484 , 11363/5317
This analysis explored the effect of battery electric vehicles (BEVs) on greenhouse gas emissions (GHGs) in a panel of twenty-nine countries from the European Union (EU) from 2010 to 2020. The method of moments quantile regression (MM-QR) was used, and the ordinary least squares with fixed effects (OLSfe) was used to verify the robustness of the results. The MM-QR support that in all three quantiles, economic growth causes a positive impact on GHGs. In the 50th and 75th quantiles, energy consumption causes a positive effect on GHGs. BEVs in the 25th, 50th, and 75th quantiles have a negative impact on GHGs. The OLSfe reveals that economic growth has a negative effect on GHGs, which contradicts the results from MM-QR. Energy consumption positively impacts GHGs. BEVs negatively impacts GHGs. Although the EU has supported a more sustainable transport system, accelerating the adoption of BEVs still requires effective political planning to achieve net-zero emissions. Thus, BEVs are an important technology to reduce GHGs to achieve the EU targets of decarbonising the energy sector. This research topic can open policy discussion between industry, government, and researchers, towards ensuring that BEVs provide a climate change mitigation pathway in the EU region.
- University of Sao Paulo Brazil
- University of Lisbon Portugal
- "UNIVERSIDADE DE COIMBRA Portugal
- University of Malaya Malaysia
- Universidade de São Paulo Brazil
Environmental effects of industries and plants, greenhouse gas emissions, battery electric vehicles, TJ807-830, battery electric vehicles; greenhouse gas emissions; energy consumption; method of moments quantile regression; European Union, TD194-195, Renewable energy sources, Environmental sciences, method of moments quantile regression, energy consumption, GE1-350, European Union
Environmental effects of industries and plants, greenhouse gas emissions, battery electric vehicles, TJ807-830, battery electric vehicles; greenhouse gas emissions; energy consumption; method of moments quantile regression; European Union, TD194-195, Renewable energy sources, Environmental sciences, method of moments quantile regression, energy consumption, GE1-350, European Union
