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Int. J. Environ. Res. Public Health 2018, 15(6), 1278;

Spatiotemporal Assessment of PM2.5-Related Economic Losses from Health Impacts during 2014–2016 in China

1,†, 1,†, 1,2,3,*, 2,4 and 1
School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, China
State Key Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
Department of Geography, Dartmouth College, Hanover, NH 03755, USA
Department of Planning, Danish Centre for Environmental Assessment, Aalborg University, Rendsburggade 14, 9000 Aalborg, Denmark
Author to whom correspondence should be addressed.
These authors contributed equally to this paper.
Received: 28 April 2018 / Revised: 6 June 2018 / Accepted: 14 June 2018 / Published: 16 June 2018
(This article belongs to the Special Issue Economic Evaluation of Environmental Policies and Interventions)
PDF [12178 KB, uploaded 17 June 2018]


Background: Particulate air pollution, especially PM2.5, is highly correlated with various adverse health impacts and, ultimately, economic losses for society, however, few studies have undertaken a spatiotemporal assessment of PM2.5-related economic losses from health impacts covering all of the main cities in China. Methods: PM2.5 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 PM2.5-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 PM2.5-related economic losses from long-term health impacts could provide new information for policymakers regarding priority areas for PM2.5 pollution prevention and control in China. View Full-Text
Keywords: PM2.5; spatiotemporal assessment; health impact; economic loss; China PM2.5; spatiotemporal assessment; health impact; economic loss; China

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Yang, Y.; Luo, L.; Song, C.; Yin, H.; Yang, J. Spatiotemporal Assessment of PM2.5-Related Economic Losses from Health Impacts during 2014–2016 in China. Int. J. Environ. Res. Public Health 2018, 15, 1278.

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