{"title":"The Impact of China's New Energy Vehicle Adoption on Urban PM2.5 Levels","authors":"Xiangyi Zeng, Jiaming Liu, Guanqiao Chen","doi":"10.54254/2754-1169/101/20231657","DOIUrl":null,"url":null,"abstract":"Air pollution, particularly fine particulate matter (PM2.5), poses a critical threat to public health globally. With vehicle emissions being a major contributor to air pollution, the adoption of new energy vehicles (NEVs) presents a potential solution for mitigating urban air quality issues. This study focuses on China, a country grappling with severe PM2.5 pollution, and explores the relationship between NEV adoption levels and PM2.5 concentration. The research employs Regression Analysis, Time Series Analysis, and Panel Data Models to analyze data from four Chinese cities: Shanghai, Dalian, Shenzhen, and Chongqing, representing diverse geographical and industrial characteristics. The study reveals a multifaceted scenario where NEVs exhibit both promise and challenges in reducing air pollution. By integrating insights from literature review, statistical analysis, and contextual factors, this research contributes to the understanding of the effectiveness of NEV adoption for enhancing air quality and promoting sustainable urban development.","PeriodicalId":104305,"journal":{"name":"Advances in Economics, Management and Political Sciences","volume":"28 22","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Economics, Management and Political Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54254/2754-1169/101/20231657","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Air pollution, particularly fine particulate matter (PM2.5), poses a critical threat to public health globally. With vehicle emissions being a major contributor to air pollution, the adoption of new energy vehicles (NEVs) presents a potential solution for mitigating urban air quality issues. This study focuses on China, a country grappling with severe PM2.5 pollution, and explores the relationship between NEV adoption levels and PM2.5 concentration. The research employs Regression Analysis, Time Series Analysis, and Panel Data Models to analyze data from four Chinese cities: Shanghai, Dalian, Shenzhen, and Chongqing, representing diverse geographical and industrial characteristics. The study reveals a multifaceted scenario where NEVs exhibit both promise and challenges in reducing air pollution. By integrating insights from literature review, statistical analysis, and contextual factors, this research contributes to the understanding of the effectiveness of NEV adoption for enhancing air quality and promoting sustainable urban development.