Differential Exposure to Climate Change? Evidence from the 2021 Floods in Germany

Moritz Odersky () and Max Löffler
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Moritz Odersky: Paris School of Economics

The Journal of Economic Inequality, 2024, vol. 22, issue 3, No 2, 576 pages

Abstract: Abstract We analyze the exposure of different income groups to the 2021 floods in Germany, which serve as an exemplary case of natural disasters intensified by anthropogenic climate change. To this end, we link official geo-coded satellite data on flood-affected buildings to neighborhood-level information on socio-economic status. We then document the empirical relationship between flood damages and household income. We limit comparisons to the vicinity of affected rivers and absorb a rich set of regional fixed effects to assess the differential exposure at the local level. Average household income is around 1,500 euros or three percent lower in flood-affected neighborhoods than in non-affected neighborhoods nearby. Average flood exposure is more than three times as high in the bottom sixty than in the upper forty percent of neighborhoods in terms of average household income. Our study is the first to document this regressive exposure along the income distribution based on actual flood damage data in Europe.

Keywords: Climate change; Differential exposure; Floods; Income distribution (search for similar items in EconPapers)
Date: 2024
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Working Paper: Differential Exposure to Climate Change? Evidence from the 2021 Floods in Germany (2023)
Working Paper: The Distributional Impact of Global Warming: Evidence from the 2021 Floods in Germany (2023)
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DOI: 10.1007/s10888-023-09605-6

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