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pollution damage functions
emission damages function: quantity of a residual and corresponding damage
ambient damage functions: concentrations in the ambient environment and the corresponding damages
marginal damage function
MD = S
additional damages from a one unti increase in emissions or ambient concentration
threshold: x-intercept, below a certain level MD are 0
implicit assumptions:
assuming a pollutant has a threshold has policy implications
reversibility: graph implies that damages decrease if quantity decreases, but this isn’t true for cumulative pollutants
intertemporal implications for pollution damage functions
a MD curve shows emission quantities and damages for a certain tie period
2 interpretations:
noncumulative pollutant: all damages occur in same period as the emissions are released
cumulative pollutant: assuming the damage function shows the total value people place on current and future damages
aggregate MD
reasons MD differ for the same pollutant
differences in weather patterns between two areas (inversion, wind patterns)
differences in population (fewer people = lower MD)
differences in population vulnerability (older, at risk populations vs healthier)
time of day: higher MD when more people are outside
abatement costs
MAC = D
cost of reducing the quantity of emission residuals and lowering ambient concentrations
negative abatement cost means it is cost-saving in the long run (but mac curve only reflects abatement methods with positive marginal costs)
MAC
additional cost of a one unit decrease in emissions
MAC is 0 at uncontrolled level
aggregate MAC: add individual MAC horizontally
reasons the MAC curve could differ for the same abatement method
new technologies that are cheaper but achieve the same emissions reductions
different years
different sources abating (new plant vs older plant)
socially efficient level of emissions
MAC = MD
net benefits maximizes
enforcement costs
firms won’t abide by regulations, need enforcement
marginal enforcement costs added to MAC function