Report published September 24, 2026
Climate Economics Report: A Year of Escalating Costs – Allianz Research
Allianz · September 24, 2026
The Allianz Climate Economics Report 2026 establishes two complementary climate risk metrics—the Climate Change Score and the Climate Stress Score—and models subnational GDP impacts via the ClimRad damage function. The analysis projects significant economic and inflationary drag across major global economies from the 2027 El Niño cycle, led by over $238bn in combined GDP losses for China and the US.
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Finvaulta summarizes Allianz's analysis. Attribute opinions, forecasts, time-sensitive values, and chronology to the issuer and report date; do not treat this page as an independent verification or a current market-data source.
Key Takeaways
- 1.Allianz Research introduces two proprietary climate screening scores via ClimRad: the Climate Change Score (CCS), which measures anomaly deviations against a 1950–1970 baseline, and the Climate Stress Score (CSS), which measures physical severity against fixed thresholds.
- 2.The ClimRad economic damage regression models subnational real GDP per capita growth and demonstrates that humid heat (wet-bulb temperature) and day-to-day temperature variability have statistically significant negative effects, with heat damage saturating at -1.99 percentage points.
- 3.The projected 2027 El Niño cycle will exert substantial drags on economic growth and fuel inflation, with China (-$147.2bn; -0.4 pp) and the US (-$91.5bn; -0.34 pp) facing the largest dollar-value GDP losses.
Table of Contents
- A1 – Climate Change Score: measuring change relative to a historical baseline
- Interpretation
- Drought component: SPEI-03 and directional consistency
- Relationship with the precipitation component
- A2 – Climate Stress Score: measuring severity relative to physical thresholds
- Joint interpretation and methodological boundaries
- A3 – Country-level extreme weather events in 2025
- A4 – Calibration of the 2026 European heat episode
- A4.1 Data
- A4.2 Wet-bulb temperature
- A4.3 Order of aggregation
- A5 – ClimRad damage function
- A5.1 Specification
- A5.2 Regression specification
- A5.3 Properties and limits of the heat channel
- A6 – The 2027 economic outlook – El Niño effect
Report data
Table A6.1: Estimated GDP and inflation effects of El Niño in 2027
| Metric | Estimate | Context |
|---|---|---|
| Humid heat regression coefficient on GDP-per-capita growth | -1.9931 pp | Estimated regression coefficient β_heat with cluster standard error 0.6237 and p=0.001 |
| China El Niño-related GDP loss in 2027 | -147.2 USD bn | Equivalent to -0.4 pp change in GDP growth (-0.4% baseline GDP) |
| USA El Niño-related GDP loss in 2027 | -91.5 USD bn | Equivalent to -0.34 pp change in GDP growth (-0.3% baseline GDP) |
| Jamaica 2025 extreme weather economic loss as share of GDP | 39.4 % of GDP | Economic loss from 1 extreme weather event compared to 2.0% historical annual average |
| US extreme weather events in 2025 | 30 count | Compared to an annual average of 16.1 events during 2000-2025, costing 0.4% of GDP |
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