Assessing the Public Health Economic Loss from PM2.5 Pollution in '2 + 26' Cities

Yifeng Wang; Ken Sun; Li Li; Yalin Lei; Sanmang Wu; Yong Jiang; Yanling Xi; Fang Wang; Yanfang Cui

doi:10.3390/ijerph191710647

Assessing the Public Health Economic Loss from PM_2.5 Pollution in '2 + 26' Cities

Int J Environ Res Public Health. 2022 Aug 26;19(17):10647. doi: 10.3390/ijerph191710647.

Authors

Yifeng Wang^{1

2}, Ken Sun³, Li Li^{1

2

4}, Yalin Lei^{1

2}, Sanmang Wu^{1

2}, Yong Jiang^{1

2}, Yanling Xi⁵, Fang Wang^{1

2}, Yanfang Cui⁶

Affiliations

¹ School of Economics and Management, China University of Geosciences, Beijing 100083, China.
² Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources of the People's Republic of China, Beijing 100083, China.
³ College of Water Resources, North China University of Water Resources and Electric Power, Zhengzhou 450046, China.
⁴ State Key Laboratory of Water Resource Protection and Utilization in Coal Mining, Beijing 100011, China.
⁵ Tianjin Academy of Social Sciences, Tianjin 300191, China.
⁶ School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China.

Abstract

Due to the fast growth of China's economy, urban atmospheric pollution has become a serious problem affecting the public's physical and mental health. The '2 + 26' cities, as the Jing-Jin-Ji atmospheric pollution transmission channel, has attracted widespread concern. There were several previous studies on the economic loss of public health caused by PM_2.5 pollution in '2 + 26' cities. To assess the economic loss caused by PM_2.5 on human health in '2 + 26' cities, this paper used the exposure-response model, the health effect loss model and willingness to pay method to obtain the economic loss from PM_2.5 pollution with the latest available data in 2020. It was concluded that, in 2020, the economic loss of '2 + 26' cities from PM_2.5 was spatially distributed low in the east and high in the west. In addition, it was larger in the southern and northern part, which was smaller in the middle of the region. Based on the conclusions, policy recommendations were put forward.

Keywords: PM2.5; exposure-response model; health effect; willingness to pay; ‘2 + 26’ cities.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Air Pollutants* / analysis
Air Pollution* / analysis
China
Cities
Environmental Monitoring
Humans
Particulate Matter / analysis
Public Health

Substances

Air Pollutants
Particulate Matter

Grants and funding

This research received no external funding. The authors express sincere thanks for the support from the National Natural Science Foundation of China under Grant No. 71803182 and 71773118, Beijing Social Science Foundation Project under Grant No. 19YJC023, National Science and Technology Major Project under Grant No. 2016ZX05016005-003, Open Fund of State Key Laboratory of Water Resource Protection and Utilization in Coal Mining under Grant No. SHJT-17-42.20, and Tianjin Academy of Social Sciences under Grant No. 19YZD-04.