中国新能源汽车推广使用的健康效益评估:2019~2023年

陈宓, 汤李琛, 曾贤刚

中国环境科学 ›› 2025, Vol. 45 ›› Issue (10) : 5858-5872.

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中国环境科学 ›› 2025, Vol. 45 ›› Issue (10) : 5858-5872.
环境毒理与健康

中国新能源汽车推广使用的健康效益评估:2019~2023年

  • 陈宓1, 汤李琛2, 曾贤刚2
作者信息 +

Health benefit evaluation of the promotion and use of new energy vehicles in China: 2019~2023

  • CHEN Mi1, TANG Li-chen2, ZENG Xian-gang2
Author information +
文章历史 +

摘要

基于汽车全生命周期视角,评估2019~2023年全国新能源汽车推广使用对环境污染物减排和健康效益的影响.采用排放因子法测算环境污染物减排效果,通过暴露-反应模型分析污染物浓度变化对健康的影响,结合生命价值法和疾病成本法对健康效益进行货币化分析,并运用蒙特卡洛模拟进行不确定性分析.结果显示:环境效应方面,在空间格局上,新能源汽车的减排效果呈现显著的异质性,沿海地区的减排效果优于内陆地区.在时间演变上,CO2、NOx、VOCs和SO2的减排量逐年上升,然而新能源汽车相比传统燃油汽车会排放更多的PM2.5.在地区层面,中南地区CO2减排量最大,西北地区最小,且年均增长率地区差异较大;华东地区在VOCs和NOx减排上表现突出,东北地区年均增长率较高;SO2减排效果两极分化,部分地区甚至出现增排现象;PM2.5的减排情况较为复杂,部分地区出现增排.在车型层面,新能源客车在减少PM2.5、NOx和SO2等污染物排放方面效果优于新能源乘用车,而新能源乘用车在减少CO2和VOCs方面优势明显.健康效应方面,新能源汽车推广使用显著降低死亡率和患病率,尤其是PM2.5减排效果最为突出,且健康效益逐年递增.货币化效益方面,新能源汽车推广使用带来的健康效益货币化价值逐年上升,SO2的货币化价值在研究期内增长幅度最为显著(77.05%),PM2.5贡献最大.不同地区的健康效益货币化价值存在空间差异,沿海及部分中部地区转化为较高经济价值,而中西部地区相对较低.

Abstract

This study evaluated the environmental pollutant reduction and health benefits of new energy vehicle (NEV) promotion in China from 2019 to 2023 through a vehicle life cycle perspective. The emission factor method was employed to quantify pollutant reduction effects, while exposure-response model was used to analyze health impacts from pollutant concentration changes. Health benefits were monetized using the value of statistical life (VSL) method and disease cost method, with uncertainty assessment through the Monte Carlo simulation. The results showed that: In terms of spatial environmental effects, the emission reduction effects of new energy vehicles showed significant heterogeneity, and the emission reduction effects in coastal regions were better than that in inland regions. In terms of time evolution, the emission reduction of CO2, NOx, VOCs and SO2 increased year by year, though NEVs emitted more PM2.5 than conventional vehicles. Regional disparities emerged with South Central China achieving maximum CO2 reduction versus minimal reductions in Northwest China, accompanied by significant inter-regional growth rate variations. East China dominated in VOCs and NOx reduction, while Northeast China exhibited higher annual growth rates. SO2 reduction displayed polarization, with some regions experiencing emission increases. PM2.5 dynamics proved complex, showing emission growth in certain regions. Vehicle-type analysis indicated NEV buses outperformed passenger vehicles in reducing PM2.5, NOx and SO2, while passenger vehicles demonstrated advantages in CO2 and VOCs reduction. Health benefits analysis revealed NEV adoption significantly reduced mortality and morbidity rates, with PM2.5 mitigation showing particular prominence, and health improvements exhibited annual growth. Monetized health benefits demonstrated sustained growth, with SO2-related monetary value showing the most significant increase (77.05%) during the study period, though PM2.5 contributed the largest absolute value. Regional disparities emerged in monetary benefits, with coastal and central regions generating higher economic value compared to western regions.

关键词

新能源汽车 / 环境效应 / 健康效益 / 货币化

Key words

new energy vehicles / environmental effects / health benefits / monetization

引用本文

导出引用
陈宓, 汤李琛, 曾贤刚. 中国新能源汽车推广使用的健康效益评估:2019~2023年[J]. 中国环境科学. 2025, 45(10): 5858-5872
CHEN Mi, TANG Li-chen, ZENG Xian-gang. Health benefit evaluation of the promotion and use of new energy vehicles in China: 2019~2023[J]. China Environmental Science. 2025, 45(10): 5858-5872
中图分类号: X24   

参考文献

[1] Zhang R, Hanaoka T. Deployment of electric vehicles in China to meet the carbon neutral target by 2060: Provincial disparities in energy systems, CO2 emissions, and cost effectiveness [J]. Resources, Conservation and Recycling, 2021,170:105622.
[2] Li P, Zhang Z X. The effects of new energy vehicle subsidies on air quality: Evidence from China [J]. Energy Economics, 2023,120: 106624.
[3] 张 兵,宋超凡.数字化转型对新能源汽车产业链企业技术进步的影响 [J]. 河北经贸大学学报, 2024,45(5):73-87. Zhang B, Song C F. The influence of digital transformation on the enterprise technological progress of new energy vehicle industry chain [J]. Journal of Hebei University of Economics and Business, 2024, 45(5):73-87.
[4] 郭晓丹,王 帆.“双碳”目标下政府补贴、需求替代与减排效应——来自中国乘用车市场的证据 [J]. 数量经济技术经济研究, 2024, 41(2):131-150. Guo X D, Wang F. Government subsidies, demand substitution and emission reduction effects under the dual carbon target: Evidence from China’s passenger car market [J]. Journal of Quantitative & Technological Economics, 2024,41(2):131-150.
[5] 阿迪拉·阿力木江,蒋 平,董虹佳,等.推广新能源汽车碳减排和大气污染控制的协同效益研究——以上海市为例 [J]. 环境科学学报, 2020,40(5):1873-1883. A D L A L M J, Jiang P, Dong H J, et al. Synergy and co-benefts of reducing CO2 and air pollutant emissions by promoting new energy vehicles: A case of Shanghai [J]. Acta Scientiae Circumstantiae, 2020, 40(5):1873-1883.
[6] Ke W, Zhang S, Wu Y, et al. Assessing the future vehicle fleet electrification: The impacts on regional and urban air quality [J]. Environmental Science & Technology, 2017,51(2):1007-1016.
[7] Lin B, Wu W. The impact of electric vehicle penetration: A recursive dynamic CGE analysis of China [J]. Energy economics, 2021,94: 105086.
[8] Ma C, Madaniyazi L, Xie Y. Impact of the electric vehicle policies on environment and health in the Beijing-Tianjin-Hebei region [J]. International Journal of Environmental Research and Public Health, 2021,18(2):623.
[9] Wu Y, Zhang L. Can the development of electric vehicles reduce the emission of air pollutants and greenhouse gases in developing countries? [J]. Transportation Research Part D: Transport and Environment, 2017,(51):129-145.
[10] Yang L, Yu B Y, Yang B, et al. Life cycle environmental assessment of electric and internal combustion engine vehicles in China [J]. Journal of Cleaner Production, 2021,285:124899.
[11] Weis A, Michalek J J, Jaramillo P, et al. Emissions and cost implications of controlled electric vehicle charging in the U.S. PJM interconnection [J]. Environmental Science & Technology, 2015, 49(9):5813-5819.
[12] 李雪娇,安梦天.“用煤开车”:新能源汽车真的减少了碳排放吗 [J]. 财经科学, 2023,(6):88-105. Li X J, An M T. “Driving with coal”: Does new energy vehicles really reduce carbon emissions? [J]. Finance & Economics, 2023,(6):88-105.
[13] Moataz, Mahmoud, Ryan, et al. Electric buses: A review of alternative powertrains [J]. Renewable and Sustainable Energy Reviews, 2016, 62:673-684.
[14] Huo H, Zhang Q, Wang M Q, et al. Environmental implication of electric vehicles in China [J]. Environmental Science & Technology, 2010,44(13):4856-4861.
[15] Liang X, Zhang S, Wu Y, et al. Air quality and health benefits from fleet electrification in China [J]. Nature Sustainability, 2019,2(10): 962-971.
[16] Peng L, Liu F, Zhou M, et al. Alternative-energy-vehicles deployment delivers climate, air quality, and health co-benefits when coupled with decarbonizing power generation in China [J]. One Earth, 2021,4(8): 1127-1140.
[17] Hsieh I Y L, Chossière G P, Gencer E, et al. An integrated assessment of emissions, air quality, and public health impacts of China’s transition to electric vehicles [J]. Environmental Science & Technology, 2022,56(11):6836-6846.
[18] Lin W Y, Hsiao M C, Wu P C, et al. Analysis of air quality and health co-benefits regarding electric vehicle promotion coupled with power plant emissions [J]. Journal of Cleaner Production, 2020,247:119152.
[19] Choma E F, Evans J S, Hammitt J K, et al. Assessing the health impacts of electric vehicles through air pollution in the United States [J]. Environment International, 2020,144:106015.
[20] Pan R, Liang Y, Li Y, et al. Environmental and health benefits of promoting new energy vehicles: A case study based on Chongqing City [J]. Sustainability, 2023,15(12):9257.
[21] 徐大海,李宗恺.城市大气污染物排放总量控制中多源模拟法与国家准GB/T3840-91中A-P值方法的关系 [J]. 气象科学,1993,(2): 146-154. Xu D H, Li Z K. The relationship between A-P value method and multiple sources dispersion model in the total quantity control of air pollutants emission in urban area [J]. Journal of the Meteorological Sciences, 1993,(2):146-154.
[22] 徐大海,李宗恺.关于GB/T 13201-91中燃料燃烧过程产生的气态大气污染物排放标准的制定方法的说明 [J]. 环境科学研究, 1992, 5(6):20-30. Xu D H, Li Z K. Description of the method for setting emission standards for gaseous air pollutants produced by fuel combustion process in GB/T 13201-91 [J]. Research of Environmental Sciences, 1992,5(6):20-30.
[23] WHO. ICD-10 [Z]. 2019,https://icd.who.int/browse10/2019/en.
[24] 黄德生,张世秋.京津冀地区控制PM2.5污染的健康效益评估 [J]. 中国环境科学, 2013,33(1):166-174. Huang D S, Zhang S Q. Health benefit evaluation for PM2.5 pollution control in Beijing-Tianjin-Hebei region of China [J]. China Environmental Science, 2013,33(1):166-174.
[25] 邹巍巍,邵彦川,胡丽条,等.中国NO2健康风险与区域发展关联性研究 [J]. 中国环境科学, 2024,44(12):6993-7000. Zou W W, Shao Y C, Hu L T, et al. The associations between NO2-related health burden and regional developments in China [J]. China Environmental Science, 2024,44(12):6993-7000.
[26] 马洪群,崔莲花.大气污染物(SO2、NO2)对中国居民健康效应影响的meta分析 [J]. 职业与健康, 2016,32(8):1038-1044. Ma H Q, Cui L H. Meta-analysis on health effects of air pollutants (SO2 and NO2) in the Chinese population [J]. Occupation and Health, 2016,32(8):1038-1044.
[27] 谢 鹏,刘晓云,刘兆荣,等.我国人群大气颗粒物污染暴露-反应关系的研究 [J]. 中国环境科学, 2009,29(10):1034-1040. Xie P, Liu X Y, Liu Z R, et al. Exposure-response functions for health effects of ambient particulate matter pollution applicable for China [J]. China Environmental Science, 2009,29(10):1034-1040.
[28] 齐 霁.短期大气重污染健康损害评估研究 [D]. 北京:清华大学, 2019. Qi J. Study on health damage assessment of short-term heavy air pollution [D]. Beijing: Tsinghua University, 2019.
[29] 张 莹,邵 毅,王式功,等.北京市空气污染物对呼吸系统疾病门诊人数的影响 [J]. 中国环境科学, 2014,34(9):2401-2407. Zhang Y, Shao Y, Wang S G, et al. Relationship between air pollutant and respiratory diseases hospital outpatient visits in Beijing [J]. China Environmental Science, 2014,34(9):2401-2407.
[30] 曾贤刚,阮芳芳.中国PM2.5污染健康效应的国民经济影响分析 [J]. 中国环境科学, 2020,40(7):3228-3238. Zeng X G, Ruan F F. Analysis on the national economic impact of PM2.5-induced health effects in China [J]. China Environmental Science, 2020,40(7):3228-3238.
[31] 陈仁杰.复合型大气污染对我国17城市居民健康效应研究 [D]. 上海:复旦大学, 2013. Chen R J. The health effects of complex air pollution in 17 Chinese cities [D]. Shanghai: Fudan University, 2013.
[32] Chen R, Chu C, Tan J, et al. Ambient air pollution and hospital admission in Shanghai, China [J]. Journal of hazardous materials, 2010,181(1-3):234-240.
[33] 郑 山,王敏珍,王式功,等.大气污染物对兰州心脑血管疾病住院影响的病例交叉研究 [J]. 中国环境科学, 2012,32(7):1182-1187. Zheng S, Wang M Z, Wang S G, et al. A case-crossover analysis of air pollution and hospital admissions for cardiovascular and cerebrovascular diseases in Lanzhou [J]. China Environmental Science, 2012,32(7):1182-1187.
[34] Kan H, Chen B. Particulate air pollution in urban areas of Shanghai, China: Health-based economic assessment [J]. Science of the Total Environment, 2004,322(1-3):71-79.
[35] 刘晓云,谢 鹏,刘兆荣,等.珠江三角洲可吸入颗粒物污染急性健康效应的经济损失评价 [J]. 北京大学学报(自然科学版), 2010,46(5): 829-834. Liu X Y, Xie P, Liu Z R, et al. Economic assessment of acute health impact due to inhalable particulate air pollution in the Pearl River Delta [J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2010, 46(5):829-834.
[36] 曾贤刚,蒋 妍.空气污染健康损失中统计生命价值评估研究 [J]. 中国环境科学, 2010,30(2):284-288. Zeng X G, Jiang Y. Evaluation of value of statistical life in health costs attributable to air pollution [J]. China Environmental Science, 2010, 30(2):284-288.
[37] Huang L, Mo J, Sundell J, et al. Health risk assessment of inhalation exposure to formaldehyde and benzene in newly remodeled buildings, Beijing [J]. Plos One, 2013,8(11):79553.
[38] 袁 贝,刘虎鹏,杜 平,等.基于参数优化和蒙特卡罗模拟的砷污染地块健康风险评估 [J]. 环境科学, 2024,45(2):1049-1057. Yuan B, Liu H P, Du P, et al. Health risk assessment for an arsenic-contaminated site based on Monte Carlo simulation and parameters optimization [J]. Environmental Science, 2024,45(2): 1049-1057.
[39] 汤李琛,曾贤刚,陈 慧,等.中国省际农作物生产碳公平及其驱动因素 [J]. 中国环境科学, 2024,44(12):7063-7078. Tang L C, Zeng X G, Chen H, et al. Carbon equity in inter-provincial crop production in China and its driving factors [J]. China Environmental Science, 2024,44(12):7063-7078.
[40] Guo Y, Zhang L, Winiwarter W, et al. Ambitious nitrogen abatement is required to mitigate future global PM2.5 air pollution toward the World Health Organization targets [J]. One Earth, 2024,7(9):1600-1613.

基金

中央高校建设一流大学(学科)和特色发展引导专项资金资助项目(21XNL006);中国人民大学博士研究生文理交叉资助项目;中国人民大学2025年度拔尖创新人才培育资助计划项目

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