Spatiotemporal Assessment of PM 2.5 -Related Economic Losses from Health Impacts during 2014–2016 in China

Yang Yang, Liwen Luo, Chao Song, Hao Yin and Jintao Yang
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Yang Yang: School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, China
Liwen Luo: School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, China
Chao Song: School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, China
Hao Yin: State Key Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
Jintao Yang: School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, China

IJERPH, 2018, vol. 15, issue 6, 1-16

Abstract: Background : Particulate air pollution, especially PM 2.5 , is highly correlated with various adverse health impacts and, ultimately, economic losses for society, however, few studies have undertaken a spatiotemporal assessment of PM 2.5 -related economic losses from health impacts covering all of the main cities in China. Methods : PM 2.5 concentration data were retrieved for 190 Chinese cities for the period 2014–2016. We used a log-linear exposure–response model and monetary valuation methods, such as value of a statistical life (VSL), amended human capital (AHC), and cost of illness to evaluate PM 2.5 -related economic losses from health impacts at the city level. In addition, Monte Carlo simulation was used to analyze uncertainty. Results : The average economic loss was 0.3% (AHC) to 1% (VSL) of the total gross domestic product (GDP) of 190 Chinese cities from 2014 to 2016. Overall, China experienced a downward trend in total economic losses over the three-year period, but the Beijing–Tianjin–Hebei, Shandong Peninsula, Yangtze River Delta, and Chengdu-Chongqing regions experienced greater annual economic losses. Conclusions : Exploration of spatiotemporal variations in PM 2.5 -related economic losses from long-term health impacts could provide new information for policymakers regarding priority areas for PM 2.5 pollution prevention and control in China.

Keywords: PM 2.5; spatiotemporal assessment; health impact; economic loss; China (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

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