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

Moritz Odersky, Max Löffler*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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.
Original languageEnglish
Number of pages26
JournalJournal of Economic Inequality
DOIs
Publication statusE-pub ahead of print - 11 Jan 2024

JEL classifications

  • q52 - "Pollution Control Adoption Costs; Distributional Effects; Employment Effects"
  • q54 - "Climate; Natural Disasters; Global Warming"
  • d30 - Distribution: General

Keywords

  • Climate change
  • Differential exposure
  • Floods
  • Income distribution

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