Inequality of household consumption and PM2.5 footprint across socioeconomic groups in China

被引:4
|
作者
Zhu, Yuhan [1 ,2 ]
Chen, Guangwu [3 ]
Xu, Lixiao [4 ]
Zhang, Ying [5 ]
Wang, Yafei [6 ,7 ]
Liang, Sai [8 ]
机构
[1] Zhejiang Gongshang Univ, Sch Stat & Math, Hangzhou 310018, Zhejiang, Peoples R China
[2] Zhejiang Gongshang Univ, Collaborat Innovat Ctr Stat Data Engn Technol & A, Hangzhou 310018, Zhejiang, Peoples R China
[3] Univ Queensland, Sch Business, St Lucia, Qld 4072, Australia
[4] Zhejiang Univ Finance & Econ, Sch Data Sci, Hangzhou 310018, Zhejiang, Peoples R China
[5] Univ Sydney, Sch Publ Hlth, Sydney, NSW 2006, Australia
[6] Beijing Normal Univ, Inst Natl Accounts, Beijing 100875, Peoples R China
[7] Beijing Normal Univ, Sch Stat, Beijing 100875, Peoples R China
[8] Guangdong Univ Technol, Sch Ecol Environm & Resources, Key Lab City Cluster Environm Safety & Green Dev, Minist Educ, Guangzhou 510006, Peoples R China
来源
ENVIRONMENTAL RESEARCH LETTERS | 2022年 / 17卷 / 04期
关键词
PM2; 5; input-output analysis; consumption-based accounting; household survey; ENERGY-REQUIREMENTS; EMISSIONS; INCOME; POLLUTION; DISPARITIES; TRANSPORT; SECTOR;
D O I
10.1088/1748-9326/ac4a9d
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The United Nations Sustainable Development Goals have highlighted the challenge posed by increasing air pollution. This study allocates PM2.5 footprint to household consumption expenditure based on multi-regional input-output model and survey data collected from 30 000 households. The household indirect PM2.5 footprint related to spending on food, hospital, electricity, and education rank as the top four items, plus direct PM2.5 emissions, which in combination contribute more than 55% of total air pollution. Compared with the poor, the responsibilities for air pollution on the wealthy are more sensitive to changes in income, especially for high-end consumption categories, such as luxury goods and services, education and healthcare. Further, the wealthiest 20% of households cause 1.5 times the PM2.5 footprint per capita than exposure to PM2.5 emissions. The high-footprint household samples are concentrated in high-exposure areas. It is recommended that mitigation policies address inequality of PM2.5 footprint by targeting the top 20% of footprint groups with tags of wealthy, urban resident, well-educated, small family, and apartment living.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] Quantifying the influence of natural and socioeconomic factors and their interactive impact on PM2.5 pollution in China
    Yang, Dongyang
    Wang, Xiaomin
    Xu, Jianhua
    Xu, Chengdong
    Lu, Debin
    Ye, Chao
    Wang, Zujing
    Bai, Ling
    ENVIRONMENTAL POLLUTION, 2018, 241 : 475 - 483
  • [22] Spatial patterns of the diurnal variations of PM2.5 and their influencing factors across China
    Liu, Junli
    Wang, Siyuan
    Zhu, Kemin
    Hu, Jinghao
    Li, Runkui
    Song, Xianfeng
    ATMOSPHERIC ENVIRONMENT, 2024, 318
  • [23] Source apportionment of PM2.5 across China using LOTOS-EUROS
    Timmermans, R.
    Kranenburg, R.
    Manders, A.
    Hendriks, C.
    Segers, A.
    Dammers, E.
    Zhang, Q.
    Wang, L.
    Liu, Z.
    Zeng, L.
    van der Gon, H. Denier
    Schaap, M.
    ATMOSPHERIC ENVIRONMENT, 2017, 164 : 370 - 386
  • [24] Accuracy assessment on eight public PM2.5 concentration datasets across China
    Di, Yangchen
    Gao, Xizhang
    Liu, Haijiang
    Li, Baolin
    Sun, Cong
    Yuan, Yecheng
    Ni, Yong
    ATMOSPHERIC ENVIRONMENT, 2024, 338
  • [25] Spatial Distributions and Sources of Inorganic Chlorine in PM2.5 across China in Winter
    Luo, Li
    Zhang, Yong-Yun
    Xiao, Hua-Yun
    Xiao, Hong-Wei
    Zheng, Neng-Jian
    Zhang, Zhong-Yi
    Xie, Ya-Jun
    Liu, Cheng
    ATMOSPHERE, 2019, 10 (09)
  • [26] Components and drivers of household water footprint inequality in China
    Wang, Feng
    Xu, Baoling
    Si, Yumei
    Shang, Yuzhu
    Zhang, Wei
    Cai, Beiming
    Jiang, Minxing
    Xu, Siqi
    Lu, Siqi
    SUSTAINABLE PRODUCTION AND CONSUMPTION, 2023, 43 : 1 - 14
  • [27] Estimation of historical daily PM2.5 concentrations for three Chinese megacities: Insight into the socioeconomic factors affecting PM2.5
    Xu, Hongmei
    Bai, Yunlong
    Peng, Zezhi
    Liu, Meixuan
    Shen, Zhenxing
    Zhang, Ningning
    Bei, Naifang
    Li, Guohui
    Cao, Junji
    ATMOSPHERIC POLLUTION RESEARCH, 2024, 15 (06)
  • [28] Economic growth and household energy footprint inequality in China
    Zhu, Qiaoqiao
    Sang, Xiaowen
    Li, Zhengbo
    PLOS ONE, 2023, 18 (03):
  • [29] Inequality in urban and rural household CO2 emissions of China between income groups and across consumption categories
    Wang, Juan
    Yuan, Rong
    ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2022, 94
  • [30] Ambient PM2.5, household environment and preterm birth: A birth cohort study in Shandong, China
    Shen, Yaojia
    Wang, Yuanyuan
    Fu, Zhumei
    Zhou, Tianyi
    Yuan, Zhichao
    Gao, Jian
    Ji, Yuelong
    ATMOSPHERIC ENVIRONMENT, 2024, 332