The health and visibility cost of air pollution: a comparison of estimation methods

Abstract

the health and visibility costs of air pollution derived from a meta-hedonic price analysis, with an estimate of health costs derived from a damage-function analysis and an estimate of the visibility cost derived from contingent valuation. We find that the meta-hedonic price analysis produces an estimate of the health cost that lies at the low end of the range of damage-function estimates. This is consistent with hypotheses that on the one hand, hedonic price analysis does not capture all of the health costs of air pollution (because individuals may not be fully informed about all of the health effects), and that on the other hand, the value of mortality used in the high-end damage function estimates is too high. The analysis of the visibility cost of air pollution derived from a meta-hedonic price analysis

Measuring the Willingness to Pay for Improved Air Quality: A Contingent Valuation Survey

“…TV must be amortized, or annualized, over 15 years. This annualized payment (AV) is equal to full asset value (or one-time payment, TV) multiplied by an annualization factor (AF) [62]:…”

Exploring Possible Seasonal Trends in Mortality Rate in Relation to Age, Gender and Environmental Conditions in Kuwait: A Preliminary Analysis

“…This trend is true for all the seasons in each year, which is consistent with the literature (eg. Delucchi et al 2002). This may have been due to the generally poorer health condition of elderly people, which was exacerbated by deteriorating air quality.…”

“…Coarse particles that are transported long distance with high wind speeds are also a health risk (Ostro et al 1999;Schwartz et al 1999;Kwon et al 2002). Adverse effects of air pollution include an increase in cardiovascular and respiratory diseases leading to a high rate of deaths among elderly people (Delucchi et al 2002 andMorris, 2001). A brief review of these studies is provided by Chen et al (2004).…”

Nonlinear relationships between atmospheric aerosol and its gaseous precursors: Analysis of long-term air quality monitoring data by means of neural networks

“…The method of the analysis employed here is very similar to that of our previous study (Konovalov, 2002). Although TSP is sometimes used as an indicator of harmful effects of air pollution (e.g., Delucchi et al, 2002), the health and visibility are affected, primarily, by fine fractions of aerosol, and hence the analysis of PM 2.5 or PM 10 data could be of most interest from the practical point of view. Unfortunately, at the present time available records of PM 2.5 and PM 10 measurements accompanied with simultaneous measurements of NO x and VOC are not long enough for building neural network models aimed at retrieving PM-NO x -VOC relationships.…”