TY - JOUR
T1 - Including intangible costs into the cost-of-illness approach
T2 - a method refinement illustrated based on the PM2.5 economic burden in China
AU - Zhu, Bangzhu
AU - Pang, Runzhi
AU - Chevallier, Julien
AU - Wei, Yi Ming
AU - Vo, Dinh Tri
N1 - Publisher Copyright:
© 2018, Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2019/6/3
Y1 - 2019/6/3
N2 - The concentrations of particulate matter with aerodynamic diameters less than 2.5 µm (PM2.5) and 10 µm (PM10) is a widespread concern and has been demonstrated for 103 countries. During the past few years, the exposure–response function (ERf) has been widely used to estimate the health effects of air pollution. However, past studies are either based on the cost-of-illness or the willingness-to-pay approach, and therefore, either do not cover intangible costs or costs due to the absence of work. To address this limitation, a hybrid health effect and economic loss model is developed in this study. This novel approach is applied to a sample of environmental and cost data in China. First, the ERf is used to link PM2.5 concentrations to health endpoints of chronic mortality, acute mortality, respiratory hospital admission, cardiovascular hospital admission, outpatient visits—internal medicine, outpatient visits—pediatrics, asthma attack, acute bronchitis, and chronic bronchitis. Second, the health effect of PM2.5 is monetized into the economic loss. The mean economic loss due to PM2.5 was much heavier in the North than the South of China. Furthermore, the empirical results from 76 cities in China show that the health effects and economic losses were over 4.98 million cases and 382.30 billion-yuan in 2014 and decreased dramatically compared with those in 2013.
AB - The concentrations of particulate matter with aerodynamic diameters less than 2.5 µm (PM2.5) and 10 µm (PM10) is a widespread concern and has been demonstrated for 103 countries. During the past few years, the exposure–response function (ERf) has been widely used to estimate the health effects of air pollution. However, past studies are either based on the cost-of-illness or the willingness-to-pay approach, and therefore, either do not cover intangible costs or costs due to the absence of work. To address this limitation, a hybrid health effect and economic loss model is developed in this study. This novel approach is applied to a sample of environmental and cost data in China. First, the ERf is used to link PM2.5 concentrations to health endpoints of chronic mortality, acute mortality, respiratory hospital admission, cardiovascular hospital admission, outpatient visits—internal medicine, outpatient visits—pediatrics, asthma attack, acute bronchitis, and chronic bronchitis. Second, the health effect of PM2.5 is monetized into the economic loss. The mean economic loss due to PM2.5 was much heavier in the North than the South of China. Furthermore, the empirical results from 76 cities in China show that the health effects and economic losses were over 4.98 million cases and 382.30 billion-yuan in 2014 and decreased dramatically compared with those in 2013.
KW - Cost-of-illness method
KW - Economic losses
KW - Exposure–response function
KW - Health effects
KW - PM
KW - Willingness-to-pay method
UR - http://www.scopus.com/inward/record.url?scp=85055979042&partnerID=8YFLogxK
U2 - 10.1007/s10198-018-1012-0
DO - 10.1007/s10198-018-1012-0
M3 - Article
C2 - 30377849
AN - SCOPUS:85055979042
SN - 1618-7598
VL - 20
SP - 501
EP - 511
JO - European Journal of Health Economics
JF - European Journal of Health Economics
IS - 4
ER -