TY - JOUR
T1 - Effectiveness of air pollution standards in reducing mortality in India
AU - Sankar, Ashwini
AU - Coggins, Jay S.
AU - Goodkind, Andrew L
PY - 2020/11
Y1 - 2020/11
N2 - India experiences some of the highest air pollution levels globally, with 13 of the 20 most polluted cities in the world. In this paper, we estimate the relationship between air pollution policies in India and mortality for people of all ages and all causes. We estimate the relationship between mortality and two major air pollution regulations, the Supreme Court Action Plan (SCAP) and the Catalytic Converter (CC) policy. Although data for mortality in India have improved over time, the annual average mortality for many districts is volatile, with many outliers and missing values. After addressing these measurement issues in a difference-in-differences setup, we do not find evidence that the policies were effective in significantly reducing mortality. In an effort to understand the potential benefits of reducing pollution levels in India, we investigate the association of different pollution types with mortality. This analysis relies upon relatively recent satellite data on PM2.5 levels in India. We examine this relationship for India for the first time, using a fixed effects model in an attempt to address issues of endogeneity and measurement error. We find that PM2.5 levels are positively associated with mortality, with a 10% increase in pollution conditionally associated with a 2.0% increase in the mortality rate.
AB - India experiences some of the highest air pollution levels globally, with 13 of the 20 most polluted cities in the world. In this paper, we estimate the relationship between air pollution policies in India and mortality for people of all ages and all causes. We estimate the relationship between mortality and two major air pollution regulations, the Supreme Court Action Plan (SCAP) and the Catalytic Converter (CC) policy. Although data for mortality in India have improved over time, the annual average mortality for many districts is volatile, with many outliers and missing values. After addressing these measurement issues in a difference-in-differences setup, we do not find evidence that the policies were effective in significantly reducing mortality. In an effort to understand the potential benefits of reducing pollution levels in India, we investigate the association of different pollution types with mortality. This analysis relies upon relatively recent satellite data on PM2.5 levels in India. We examine this relationship for India for the first time, using a fixed effects model in an attempt to address issues of endogeneity and measurement error. We find that PM2.5 levels are positively associated with mortality, with a 10% increase in pollution conditionally associated with a 2.0% increase in the mortality rate.
KW - Air pollution
KW - Environmental regulations
KW - India
KW - Mortality
KW - PM2.5
UR - http://www.scopus.com/inward/record.url?scp=85087774747&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85087774747&partnerID=8YFLogxK
U2 - 10.1016/j.reseneeco.2020.101188
DO - 10.1016/j.reseneeco.2020.101188
M3 - Article
AN - SCOPUS:85087774747
SN - 0928-7655
VL - 62
JO - Resource and Energy Economics
JF - Resource and Energy Economics
M1 - 101188
ER -