Foster Andrew, Kumar Naresh
Department of Economics Brown University Providence, RI 02912
Atmos Environ (1994). 2011 Mar 1;45(9):1675-1683. doi: 10.1016/j.atmosenv.2011.01.005.
This, the first systematic study, quantifies the health effects of air quality regulations in Delhi, which adopted radical measures to improve air quality, including, for example, the conversion of all commercial vehicles to compressed natural gas (CNG), and the closure of polluting industries in residential areas from 2000 to 2002. Air pollution data, collected at 113 sites (spread across Delhi and its neighboring areas) from July-December 2003, were used to compute exposure at the place of residence of 3,989 subjects. A socio-economic and respiratory health survey was administered in 1,576 households. This survey collected time-use, residence histories, demographic information, and direct measurements of lung function with subjects. The optimal interpolation methods were used to link air pollution and respiratory health data at the place of their residence. Resident histories, in combination with secondary data, were used to impute cumulative exposure prior to the air-quality interventions, and the effects of recent air quality measures on lung function were then evaluated. Three important findings emerge from the analysis. First, the interventions were associated with a significant improvement in respiratory health. Second, the effect of these interventions varied significantly by gender and income. Third, consistent with a causal interpretation of these results, effects were the strongest among those individuals who spend a disproportionate share of their time out-of-doors.
这是第一项系统性研究,对德里空气质量法规的健康影响进行了量化。德里采取了激进措施来改善空气质量,例如将所有商用车辆转换为压缩天然气(CNG),并在2000年至2002年期间关闭了居民区的污染企业。利用2003年7月至12月在113个地点(分布在德里及其周边地区)收集的空气污染数据,计算了3989名受试者居住地的暴露情况。对1576户家庭进行了社会经济和呼吸健康调查。该调查收集了时间使用情况、居住历史、人口信息以及对受试者肺功能的直接测量数据。采用最优插值方法将居住地的空气污染数据和呼吸健康数据联系起来。居住历史与二手数据相结合,用于推算空气质量干预之前的累积暴露情况,然后评估近期空气质量措施对肺功能的影响。分析得出了三个重要发现。第一,这些干预措施与呼吸健康的显著改善相关。第二,这些干预措施的效果在性别和收入方面存在显著差异。第三,与对这些结果的因果解释一致,在那些在户外度过的时间占比过高的个体中,效果最为明显。