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Absolute deviations of GDP in the different scenarios compared to the reference

Academic Papers    Politics and society

Reducing the negative economic impact of extreme weather

By Massimiliano Tripodo

Published February 16, 2026

Research shows that additional extreme weather reduces Germany’s real GDP by 0.4% in 2035 and 0.8% in 2045 versus a no-change baseline. Implementing adaptation measures narrows these losses to just under −0.5% in 2045 and cuts the cumulative gap from about € 300 bn to about € 210 bn.

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Main Results

In Germany, according to the study “Macroeconomic Impacts of Climate Change, Climate Adaptation, and Climate Mitigation in Germany” by Christian Lutz, targeted climate-adaptation policies materially cushion the GDP damage from extreme weather. In the model, additional heatwaves, droughts, floods, and heavy rainfall lower real GDP by 0.4% in 2035 and 0.8% in 2045 versus a no-additional-change reference, cumulating to about EUR 300 bn (billion) in losses by 2045.

Adding a national package of adaptation measures – like spanning water-saving and low-water protection, early-warning systems, green roofs and flood defenses, climate-adapted spatial planning, and urban open-space greening – reduces the macro loss: real GDP is “only” just under −0.5% in 2045, and the cumulative gap narrows to about EUR 210 bn. The practical takeaway is twofold: adaptation shifts spending toward construction and related services, buffering output through investment while dampening climate-damage cost drivers (depreciation, health-care pressures); and because many shocks arrive via global trade and prices, domestic adaptation cannot fully neutralize GDP losses—hence the residual gap.

Under a harsher climate sensitivity (doubling direct impacts), cumulative GDP losses reach EUR 590 bn even with today’s adaptation intensity; scaling up adaptation in anticipation trims that to EUR 410 bn, demonstrating substantial, though not complete, macro-risk mitigation.

Background

The analysis integrates three climate dimensions that are typically siloed: acute physical risks from more frequent and intense extremes; domestic adaptation to reduce those damages; and mitigation policies that alter prices, investment and energy use. 

Extreme events translate into macro losses through multiple channels: capital destruction to buildings and infrastructure, lower agricultural and forestry yields, constrained inland-waterway transport at low water, health-system stress during heat, higher insurance depreciation, and supply-chain and import-price shocks in traded goods. 

Adaptation acts on these channels directly (e.g., flood protection and green roofs reduce damage and cooling needs; water-efficiency and low-water measures maintain supply and transport; warnings and heat-wave plans lower health burdens), and indirectly by re-routing demand toward construction. 

Yet adaptation is spatially limited: it addresses domestic impacts but cannot offset climate-related import-price increases or export shortfalls, so trade components remain the largest drags. Importantly, the study quantifies only monetizable effects; non-market damages (e.g., well-being, biodiversity) are excluded, implying the reported GDP losses are a conservative lower bound and that the benefits of adaptation (and mitigation) are likely understated in a broader welfare sense. 

Methodology

Researchers employ the macroeconometric model PANTA RHEI, representing 63 industries with detailed energy, emissions, housing and transport modules, solved year-by-year using empirically estimated (myopic) behavior. 

Five scenarios benchmark outcomes to 2045: (1) a reference without additional climate change or new measures; (2) extra extreme-weather impacts (EW) calibrated by sector – for exemple, higher agricultural and fishery import prices, forestry depreciation and wood-price shifts, increased water-sector costs and demand, impaired inland navigation, building-stock lifespan reductions, and heat-related hospital admissions; (3) EW plus Adaptation (EWA) that phases in sector-specific measures consistent with Germany’s Climate Adaptation Strategy, with implementation horizons of 1-6 years for most fields and up to 15 years for major flood protection; (3a) a sensitivity that doubles EW damages and tests stronger adaptation; (4) mitigation to climate-neutrality by 2045; and (5) a combined package. 

For adaptation, roughly EUR 50 bn of additional investment is assumed through 2050 (85% construction, 15% equipment). Damages persist until measures are implemented; once active, they reduce depreciation, health, and other cost drags back toward the reference path, while previously realized price and structural shifts remain. 

Results are reported as deviations from the reference in real terms. Because imported shocks are outside the control of domestic adaptation and several damage categories are non-monetized, the estimated GDP benefits of adaptation are conservative; nevertheless, the model shows that timely, construction-led adaptation can materially lower the macroeconomic footprint of extremes and is most effective when scaled in step with rising physical risk.

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