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Int. J. Environ. Res. Public Health 2018, 15(6), 1278; https://doi.org/10.3390/ijerph15061278

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
1
School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, China
2
State Key Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
3
Department of Geography, Dartmouth College, Hanover, NH 03755, USA
4
Department of Planning, Danish Centre for Environmental Assessment, Aalborg University, Rendsburggade 14, 9000 Aalborg, Denmark
These authors contributed equally to this paper.
*
Author to whom correspondence should be addressed.
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)
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Abstract

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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