Provincial inequalities in life cycle carbon dioxide emissions and air pollutants from electric vehicles in China

It is still unclear whether emissions reductions from electric vehicles can be achieved across different regions from a lifecycle perspective. Here we use the life cycle assessment model and Quasi Input-Output model to evaluate the carbon dioxide emissions and air pollutants of internal combustion engine vehicles, plug-in hybrid electric vehicles, and battery electric vehicles in different provinces of China, with the provincial electricity consumption data and the sales data of electric vehicles. We find that battery electric vehicles have achieved 11.8% and 1.1% reduction in carbon dioxide and nitrogen oxide emissions, respectively, compared to internal combustion engine vehicles. In contrast, the emissions of sulfur dioxide and particulate matter 2.5 increased by 10% and 20%, respectively. Due to the coal-based power generation structure and the cold weather, the emission intensity of battery electric vehicles in most northern provinces is higher than that in southern provinces. From 2020 to 2030, improving technological progress and optimizing electricity mix will greatly assist in achieving emissions reduction. The results can help policy-makers better understand the emission characteristics and reasonably plan future emission reduction strategies in transportation. The emission intensities of carbon dioxide and air pollutants from battery electric vehicles are high in northern provinces of China due to the coal-based electricity mix and cold weather, according to an analysis that uses a life cycle assessment model and data on electricity generation.

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Publication Details

Journal
Communications Earth & Environment
Published
2024-11-21
DOI
https://doi.org/10.1038/s43247-024-01906-6
Citations
13
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
2.71

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article

Provincial inequalities in life cycle carbon dioxide emissions and air pollutants from electric vehicles in China

Dingding Hu, Kaile Zhou, Jingna Yang, Rong Hu
13 citations
Communications Earth & Environment
Electric Vehicles and Infrastructure
2.71
article

Provincial inequalities in life cycle carbon dioxide emissions and air pollutants from electric vehicles in China

Dingding Hu, Kaile Zhou, Jingna Yang, Rong Hu
article en
13 citations

Abstract

It is still unclear whether emissions reductions from electric vehicles can be achieved across different regions from a lifecycle perspective. Here we use the life cycle assessment model and Quasi Input-Output model to evaluate the carbon dioxide emissions and air pollutants of internal combustion engine vehicles, plug-in hybrid electric vehicles, and battery electric vehicles in different provinces of China, with the provincial electricity consumption data and the sales data of electric vehicles. We find that battery electric vehicles have achieved 11.8% and 1.1% reduction in carbon dioxide and nitrogen oxide emissions, respectively, compared to internal combustion engine vehicles. In contrast, the emissions of sulfur dioxide and particulate matter 2.5 increased by 10% and 20%, respectively. Due to the coal-based power generation structure and the cold weather, the emission intensity of battery electric vehicles in most northern provinces is higher than that in southern provinces. From 2020 to 2030, improving technological progress and optimizing electricity mix will greatly assist in achieving emissions reduction. The results can help policy-makers better understand the emission characteristics and reasonably plan future emission reduction strategies in transportation. The emission intensities of carbon dioxide and air pollutants from battery electric vehicles are high in northern provinces of China due to the coal-based electricity mix and cold weather, according to an analysis that uses a life cycle assessment model and data on electricity generation.

Communications Earth & EnvironmentVol. 5(1)
Hefei University of Technology (CN), Hefei University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 9%
Electric Vehicles and Infrastructure
2.71
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