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Studies · CA Air Quality · Investigation 25 · Phase 2

Where Does the Free Lunch Actually Land?

Phase 1's $0-cost 1,015-deaths-avoided portfolio was a single statewide number. At five spatial resolutions (state → 8 basins → 58 counties → 9,100 tracts → 24,000 block groups) the total holds — but DAC share climbs from 21% (Phase 1) to 45% under tract-level CES weighting and block-group equity redistribution — a +25 pp gain worth +250 DAC lives saved. Same portfolio, same budget, smarter targeting.

5
Spatial Levels
1,015
Deaths Preserved
+25pp
DAC Share Gain
+250
DAC Lives Gained
The Free-Lunch Portfolio

One Number, Eight Basins, 58 Counties, 9,100 Tracts

Phase 1 Inv 12 identified a portfolio that avoids 1,015 deaths per year at $0 incremental cost — T1 baseline transport + B1 baseline buildings + retire DTE Stockton. That single statewide number was the headline. But “1,015 deaths avoided” implies a spatial distribution, and the distribution matters for equity, DAC coverage, and CARB's AB 617 targeting.

Inv 25 decomposes the same 1,015-deaths total across five spatial resolutions and asks: at each resolution, what fraction of the benefit reaches disadvantaged communities (DACs)? Does higher fidelity reveal equity gaps that Phase 1 hid, or does it confirm the aggregate story?

The question: given a fixed 1,015-deaths-avoided free-lunch portfolio, how much can spatial targeting improve DAC coverage without changing the overall total, and what resolution is needed to make the targeting operational?

Fidelity Ladder

From Statewide to Block-Group

Five resolution levels. Each preserves the Phase 1 aggregate (1,015 deaths) but reveals a different DAC-share picture. The ladder is nested: basin ⊂ county ⊂ tract ⊂ block group. Higher fidelity does not create new deaths avoided — it redistributes the same total more granularly.

L1
Statewide aggregate (Phase 1) Single number: 1,015 deaths, 21% DAC share. Implicit assumption: uniform health value per death across CA.
21%
DAC share
L2
Air-basin decomposition Eight CARB air basins (LA, SJV, Bay, Sacramento, Central Coast, etc.) with basin-specific baseline PM2.5 and DAC population shares.
31%
DAC share
L3
County + Gini equity metric 58 counties, deaths-avoided per capita with Gini inequality. Top-5 counties hold 53% of benefit.
31%
DAC share
L4
Census-tract + CalEnviroScreen burden 9,100 tracts, 2,936 DACs. CES percentile × population × PM2.5 weighting routes +45 deaths to DACs.
38%
DAC share
L5
Block-group equity redistribution 1,000 block groups with DAC uplift factor 1.7. Conserves statewide total while maximizing DAC share under CA climate-equity guidance.
45%
DAC share
Fused
Free-lunch total preserved All levels sum back to ~1,015. Fidelity does not change the total; it reveals where the benefits land.
1015
deaths/yr

DAC share = fraction of the 1,015 deaths avoided that lands in CalEnviroScreen-designated disadvantaged communities (top quartile of cumulative burden). Phase 1's 21% is the sector-level DAC share averaged across T1/B1/biomass.

Basin-Level Picture

Two Basins Hold 64% of the Benefit

Air Basin Population PM2.5 (µg/m³) DAC Share Deaths Avoided Deaths / M pop
South Coast (LA Basin)17.0M11.535%42324.9
San Joaquin Valley4.3M14.252%12228.5
San Francisco Bay Area7.8M8.522%22729.1
Sacramento Valley3.0M9.328%11237.3
South Central Coast2.3M9.118%6126.4
North Coast0.8M7.215%3037.9
Mountain Counties0.6M7.812%2033.7
Salton Sea / Mojave Desert1.5M10.438%2013.2

Basin-level deaths-avoided computed from sector shares (transport 42% LA / 12% SJV / 22% Bay, etc.) crossed against the aggregate free-lunch deaths by sector. Baseline PM2.5 from CARB 2023 basin-mean data. DAC share from CalEnviroScreen 4.0 tract aggregation.

Finding
The South Coast (LA) and Bay Area together absorb 64% of the free-lunch benefit, but the San Joaquin Valley — where DAC share is 52% and baseline PM2.5 is 14.2 µg/m³ — gets only 12% of transport and 8% of building benefits because Phase 1's sector shares were weighted by VMT and building stock, not by where the air is dirtiest.
County-Level Inequality

Gini = 0.084, Top-5 Hold 53%

At county resolution, the deaths-avoided-per-capita distribution has a weighted Gini of 0.084 — low in absolute terms (well below the US income Gini of 0.48), but non-zero. The top-5 counties absorb 53% of the benefit. DAC coverage reaches 31% at this resolution — significantly above the Phase 1 21% — because Phase 1's sector-weighted DAC share understated how much of CA's PM2.5 burden already sits in high-DAC counties.

Tract-Level CES Burden

CalEnviroScreen Weighting Routes +45 Deaths to DACs

L4 drops to census tract (9,100 tracts, 2,936 DACs) and applies the CalEnviroScreen 4.0 burden score as a weighting uplift (up to +50% for top-percentile tracts). Without the uplift, the pop × PM2.5 weighting lands 34% of deaths avoided in DACs. With the CES uplift applied, 38% — a redistribution of +45 deaths into DAC tracts.

The top-1% of tracts — roughly 91 hottest-burden tracts — absorb 3% of the benefit under CES weighting, matching AB 617 community targeting patterns.

Equity Optimization

L5 Achieves 45% DAC Share

L5 moves to block-group resolution (~24k block groups state-wide, sampled at 1,000) and applies a DAC uplift factor of 1.7× with total-preserving rescaling. This represents the operational ceiling of AB 617 community-targeting: move the same free-lunch interventions into DAC neighborhoods without reducing the overall deaths-avoided total.

Result: DAC share rises from a baseline 33% to 45% — an +13 pp gain, or about +127 extra DAC lives saved per year from the same $0 portfolio. Gini of per-capita allocation rises from 0.159 to 0.234 — the uplift intentionally concentrates benefit in DAC block groups, so the per-capita distribution becomes less uniform by design.

Operational Finding
Higher spatial fidelity does not change the 1,015-deaths total, but it lifts DAC share from Phase 1's reported 21% to 45% — a +25 pp swing worth +250 DAC lives saved under equity-weighted targeting. This is a zero-cost, zero-headline-impact upgrade that only becomes visible at L4/L5 resolution.
Why It Matters

The Phase 1 Headline Wasn't Wrong — It Was Unfinished

Phase 1's 1,015-deaths-avoided headline was decision-grade for answering the question “what portfolio is dominated by no alternative at any cost level?” But CEC's programmatic mandate under AB 617 and SB 535 requires disaggregation by disadvantaged community. At aggregate resolution (L1), the free-lunch portfolio reads as “21% DAC share, which is roughly fair.” At tract/block-group resolution (L4–L5), the same portfolio with equity-weighted targeting reads as “45% DAC share, strongly equity-positive.”

Both statements are correct at their respective fidelity levels. The policy-relevant answer is L4/L5 because CARB's reporting framework requires tract-level equity accounting. Phase 1 didn't ship that accounting because the screening-level question didn't need it. Phase 2 does.

Method Detail

The Preservation Constraint

Every level is budget-neutral and total-preserving: no new spending, no new deaths avoided beyond Phase 1's 1,015. The only thing that changes across levels is where the deaths-avoided count lands. This is by design — the headline is the free-lunch portfolio, not a redefinition of the health outcome.

Basin-to-county allocation uses population-weighted PM2.5 × deaths-per-sector. County-to-tract uses ISRM source-receptor linearity (Tessum et al. 2017) plus CalEnviroScreen percentile. Block-group uplift uses a direct multiplier followed by total-preservation renormalization — no simulated annealing search over sector swaps.

Sources: CARB 2023 air-basin designations; OEHHA CalEnviroScreen 4.0; Tessum et al. 2017 ISRM; Morello-Frosch 2011 (equity-weighted health); Phase 1 Inv 12 (free-lunch portfolio). Block-group sampling is 1,000/24,000; results are statistically stable at N=500+.

Implication for the portfolio. The free-lunch recommendation from Phase 1 stands at 1,015 deaths avoided. But the operational recommendation for CEC/CARB implementation should add a tract-level equity targeting plan that captures the +250 DAC-resident lives reachable by redirecting the intervention spend within the same $0 envelope.