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

Bibliographic Data

ID12836825
AuthorsMoritz Odersky (Paris School of Economics), Max Löffler (Maastricht University, corresponding author)
Year2024
Volume22
Issue3
Pages551-576
Publication date2024-01-11
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueThe Journal of Economic Inequality (JOURNAL)
Journal identifiersISSN: 1569-1721 • E-ISSN: 1573-8701
PublisherSpringer Science+Business Media (PUBLISHER • DE)
DOI10.1007/s10888-023-09605-6
OpenAlexW4390806085
LanguageEN
Citations received1
References cited29

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

Climate change · Damages · Differential (mechanical device · Distribution (mathematics · Economics · Euros · Flood myth · Geography · Meteorology · Natural disaster · Physical geography · Socioeconomics · Climate Change, Adaptation, Migration · Disaster Management and Resilience · Environmental Science · Flood Risk Assessment and Management · Mathematics

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Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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Open DOIOpen Access
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