Increased Marginal Damages of Air Emissions Following Improvements in Air Quality in the United States

Andrew L. Goodkind
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Abstract

Between 2002 and 2017, concentrations of fine particulate matter (PM2.5) decreased 37% in the United States. Environmental economic theory generally assumes that environmental improvement is associated with a decrease in the marginal damage of emissions. In this case, the marginal damages of PM2.5 precursor emissions (NH3, NOX, primary PM2.5, and SO2) increased substantially. I calculate the change in the marginal damages of emissions between 2002 and 2017, finding increases, on average, of 30% for NH3, 46% for NOX, 61% for primary PM2.5, and 36% for SO2. The increase in marginal damages is especially large in the southeastern United States, with values more than double over this time period. The key factors that influence this change in marginal damages are the shape of the concentration-response (C-R) function that was adopted for these calculations between PM2.5 exposure and mortality (positive effect), the increase in the real value of a statistical life (positive effect), the increased population (positive effect), the aging of the population (positive effect), the decreased age-specific mortality rates (negative effect), and the geographic distribution of emissions (mixed effect). Between 32 and 65% of the increase in marginal damages is attributable to the shape of the C-R function and the decreased concentration of PM2.5. The C-R function adopted here indicates that the marginal effect of concentration reductions is higher at lower concentrations. Thus, at the lower PM2.5 concentrations resulting from improvements over 15 years, there would be a larger reduction in mortality from each additional unit of pollution reduction.

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美国空气质量改善后空气排放的边际损失增加
2002 年至 2017 年间,美国的细颗粒物(PM2.5)浓度下降了 37%。环境经济理论通常认为,环境的改善与排放边际损失的减少有关。在这种情况下,PM2.5 前体排放物(NH3、NOX、原生 PM2.5 和 SO2)的边际损失大幅增加。我计算了 2002 年至 2017 年排放边际损失的变化,发现 NH3 平均增加了 30%,NOX 平均增加了 46%,原生 PM2.5 平均增加了 61%,SO2 平均增加了 36%。在美国东南部,边际损失的增加尤为显著,在此期间的数值增加了一倍多。影响边际损失变化的关键因素包括:PM2.5 暴露和死亡率之间的浓度-反应(C-R)函数的形状(正效应)、统计寿命实际价值的增加(正效应)、人口增加(正效应)、人口老龄化(正效应)、特定年龄死亡率的下降(负效应)以及排放的地理分布(混合效应)。边际损失增加的 32% 到 65% 可归因于 C-R 函数的形状和 PM2.5 浓度的下降。这里采用的 C-R 函数表明,浓度降低的边际效应在浓度较低时更高。因此,在 15 年改进后 PM2.5 浓度较低的情况下,每增加一个污染减排单位,死亡率就会降低更多。
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