
Replication materials for Pazos (2026), 'Measuring Carbon Avoidance Efficiency: Six Orders of Magnitude in Climate Equities' (submitted to Sustainability). Contents: (i) the complete library of 34 sector-specific physics proxy models used to compute the Climate Efficiency Ratio (CER) — 33 operational plus Natural Gas Distribution, retained as an excluded-sector case study documented as CER-inapplicable; (ii) anonymized per-firm inputs (five variables per firm) for the 187-firm Project Drawdown V2-aligned universe, along with panel data (1,451 firm-quarter observations across 2024Q1–2025Q4), a canonical baseline library, the 60-firm classifier-calibration sample, and a data dictionary; (iii) a deterministic Python calculator (scripts/cer_calculator.py) reproducing every CER value in the paper from the per-firm inputs via Equations 1 and 3; (iv) twelve analysis scripts mapped to the tables and figures of the article and Supplementary Material, all bootstraps seeded for bit-identical reproducibility. A confidential concordance mapping sector codes to firm identities is available to the editor and referees during peer review and will be added to this record as version 2.1 upon acceptance.
cross-sector measurement, climate finance, lifecycle assessment, sustainability assessment, carbon avoidance efficiency, Project Drawdown, Climate Efficiency Ratio, avoided emissions, physics proxy models
cross-sector measurement, climate finance, lifecycle assessment, sustainability assessment, carbon avoidance efficiency, Project Drawdown, Climate Efficiency Ratio, avoided emissions, physics proxy models
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