The E-axes Forum on Climate Change, Macroeconomics, and Finance

Weathering the storm: sectoral economic and inflationary effects of floods and the role of adaptation

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Matteo Ficarra

(Geneva Graduate Institute)

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Rebecca Mari

Rebecca Mari (Bank of England)

Floods are the costliest natural disaster in Europe, causing more than €12 billion in damages each year on average. The 2021 floods in Germany, Belgium, and the Netherlands resulted in estimated damages of €44 billion, while the 2023 floods in Slovenia caused direct damages of around €10 billion, equivalent to 16% of the country’s GDP. Increased flooding results from more frequent and intense heavy precipitation events, which hydrological models project will intensify in the coming decades. A growing literature has documented the macroeconomic impact of floods and other climate-related disasters, showing their significant effects on GDP and inflation, yet its impact remains somewhat ambiguous. There is also limited empirical evidence on the role of adaptation investments, such as flood defenses, in reducing flood damages.

 

Sectoral Impact and Adaptation Investments

Ficarra and Mari (2025) use satellite data on floods to estimate the impact of floods on GDP and inflation at the sector level in English counties, and local authorities balance sheets details on flood defenses expenditure to investigate whether they can attenuate it. The findings reveal significant heterogeneities across sectors. In some, such as wholesale and retail trade and food manufacturing, GDP drops sharply but only temporarily – likely due to physical damage to business premises and infrastructure. In others, like food and beverage services, the response is more delayed. Meanwhile, some sectors, such as civil engineering and accommodation, see a temporary boost in output, likely driven by reconstruction efforts and displacement-driven demand. Averaging these divergent sectoral responses offers a credible explanation for the often-delayed aggregate GDP decline observed in the literature. Price effects follow a similar pattern of heterogeneity. Inflation rises or falls depending on the sector affected, suggesting that floods can simultaneously trigger supply and demand shocks. Importantly, some of these price movements affect sectors typically associated with core inflation, challenging the conventional view that climate shocks primarily impact headline inflation. Lastly, the paper focuses on flood defenses’ ability to mitigate the impact of floods at the extensive and intensive margin. Results show that increases in adaptation capital—rather than one-off expenditures—are associated with fewer flood events: a local authority increasing its stock of flood defenses by the median amount is expected to experience 0.4 fewer floods over five years, a 3.5% reduction relative to the average. However, flood defenses are less effective once a flood occurs. Their ability to mitigate economic damages is uneven across sectors, offering significant protection in some but limited in others. Overall, the paper shows the importance of focusing on sectors to fully understand the underlying dynamics of how floods impact the economy, and stresses the urgency to invest in flood defenses.

Inflationary Effects of Natural Disasters

Parker (2018) is one of the earliest contributions to empirically estimate how natural disasters affect inflation. The paper spans different disaster types and analyzes their impact on subcomponents of the CPI) Results show substantial heterogeneity in both duration and magnitude depending on the country and event type. In advanced economies, inflationary effects are negligible. In developing economies, they are larger and more persistent. Storms and floods tend to raise food and headline inflation in the near term, while droughts have longer-lasting effects. Interestingly, earthquakes are found to reduce inflation (excluding food, housing, and energy), suggesting a disinflationary impact in some contexts.

Adaptation, Incentives, and Disaster Policy

Fried (2021) develops a macroeconomic model with heterogeneous agents to explore how adaptation, federal disaster aid, and climate change interact in the US. A key innovation is the modeling of climate change as a series of idiosyncratic shocks, introducing the possibility of moral hazard in disaster relief. Adaptation capital is estimated to represent just over 1% of the total US capital stock, and storms destroy around 0.1% of capital each year. Although disaster aid discourages private adaptation, the paper finds that this moral hazard can be offset by targeted subsidies for adaptation investments. These investments reduce storm damages by about one-third, underlining their effectiveness even in the presence of imperfect incentives.

Planning Infrastructure and Sea Level Rise

Balboni (2025) explores how sea level rise should affect decisions about where to build infrastructure, using a dynamic multiregion spatial equilibrium model and detailed geo-referenced data on road investments in Vietnam. Current investment patterns continue to favor coastal urban areas, but the analysis shows that accounting for sea level rise lowers the estimated returns on such investments by up to 35%. Roads lost to inundation or connecting inundated areas deliver much lower welfare gains. When future climate risks are integrated into planning, infrastructure is reallocated to less vulnerable areas—delivering higher long-run welfare at the cost of short-run sacrifices in coastal market access. The paper makes a strong case for integrating climate foresight into public investment decisions.

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