Assessing the Public Health Economic Loss from PM 2.5 Pollution in ‘2 + 26’ Cities

Yifeng Wang, Ken Sun, Li Li (), Yalin Lei, Sanmang Wu, Yong Jiang, Yanling Xi, Fang Wang and Yanfang Cui
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Yifeng Wang: School of Economics and Management, China University of Geosciences, Beijing 100083, China
Ken Sun: College of Water Resources, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
Li Li: School of Economics and Management, China University of Geosciences, Beijing 100083, China
Yalin Lei: School of Economics and Management, China University of Geosciences, Beijing 100083, China
Sanmang Wu: School of Economics and Management, China University of Geosciences, Beijing 100083, China
Yong Jiang: School of Economics and Management, China University of Geosciences, Beijing 100083, China
Yanling Xi: Tianjin Academy of Social Sciences, Tianjin 300191, China
Fang Wang: School of Economics and Management, China University of Geosciences, Beijing 100083, China
Yanfang Cui: School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China

IJERPH, 2022, vol. 19, issue 17, 1-16

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: PM 2.5; exposure-response model; health effect; willingness to pay; ‘2 + 26’ cities (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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