In China, 76% of all energy comes from coal consumption, which is the major cause of air pollution. One of the major barriers to developing sound policies for controlling air pollution is the lack of information related to the value of the health consequences of air pollution. We conducted a willingness-to-pay (WTP) study using contingent valuation (CV) methods in Chongqing, China to estimate the economic value of saving one statistical life through improving air quality.
A sample of 500 residents was chosen based on multistage sampling methods. A face-to-face household interview was conducted using a series of hypothetical, open-ended scenarios followed by bidding game questions designed to elicit the respondents' WTP for air pollution reduction. The Two-Part Model was used for estimations.
The results show that 96% of respondents were able to express their WTP. Their mean annual income is $490. Their WTP to save one statistical life is $34,458. Marginal increases for saving one statistical life is $240 with 1 year age increase, $14,434 with 100 yuan monthly income increase, and $1590 with 1 year education increase. Unlike developed country, clean air may still be considered as a “luxury” good in China based on the estimation of income elasticity.
December for associations with daily ambient sulfur dioxide and fine particles (airborne particles
with diameters ≤ 2.5 μm; PM2.5). The mean concentration of PM2.5 was 147 μg/m3 (maximum,
666 μg/m3), and that of SO2 was 213 μg/m3 (maximum, 571 μg/m3). On average, 9.6 persons
died each day. We used a generalized additive model using robust Poisson regression to estimate
the associations of mean daily SO2 and PM2.5 with daily mortality (on the same day and at lags up
to 5 days) adjusted for trend, season, temperature, humidity, and day of the week. The relative
risk of mortality associated with a 100 μg/m3 increase in mean daily SO2 was highest on the second
lag day [1.04; 95% confidence interval (CI), 1.00–1.09] and the third lag day (1.04; 95% CI,
0.99–1.08). The associations between daily mortality and mean daily PM2.5 were negative and statistically
insignificant on all days. The relative risk of respiratory mortality on the second day after
a 100 μg/m3 increase in mean daily SO2 was 1.11 (95% CI, 1.02–1.22), and that for cardiovascular
mortality was 1.10 (95% CI, 1.02–1.20). The relative risk of cardiovascular mortality on the
third day after a 100 μg/m3 increase in mean daily SO2 was 1.20 (95% CI, 1.11–1.30). The relative
risks of mortality due to cancer and other causes were insignificant on both days. The estimated
effects of mean daily SO2 on cardiovascular and respiratory mortality risk remained after
controlling for PM2.5.