Figure 3:
A line graph illustrating different Marginal Cost of Abatement MAC paths for pollution, comparing a theoretical MAC_ideal frontier to Actual MAC paths for high and low-cost scenarios relative to Annual PM_2.5 concentration.

Stylized MAC curves for long-term air pollution reduction, showing deviations from the ideal and dynamic shifts due to innovation and policy.

The thick solid line depicts the theoretical ideal MAC frontier, which is the lowest annual cost per ยตg/m3 of PM2.5 reduction at each pollution level (cleaner air to the left). This frontier is not static; it can shift downwards (approximated by thin dashed lines) over time, driven by technological advancements, learning effects from accumulated experience, and crucially, institutional and policy evolution. Effective governance, improved regulatory design, and well-functioning market mechanisms can significantly lower societal abatement costs. In practice, however, regions often diverge from this ideal: some may initially incur higher costs (e.g., thick dashed line) due to technical, informational, or institutional constraints before costs decline, while others, through more efficient policy and quicker innovation adoption (e.g., thick dotted line), may approach optimal cost pathways more rapidly.

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