Managing climate impacts—an analysis of adaptation funding in German cities and districts

Abstract With accelerating climate change, local governments must enhance adaptation efforts. Germany’s federal adaptation funding scheme (DAS) supports municipalities in developing adaptation strategies, yet disparities in funding distribution remain. This study analyses DAS adaptation funding across 400 German cities and districts using multilevel regression models. Findings reveal that urban areas receive more funding, influenced by higher education levels, income, and political support, and prior climate mitigation funding. In contrast, the sensitivity dimension of climate vulnerability shows weak correlations with funding allocation. These results highlight an urban-rural divide in climate adaptation financing and emphasize the role of socioeconomic and political factors in shaping local climate action. By addressing gaps in adaptation policy implementation, this study contributes to the understanding of climate governance and provides insights for improving the equitable distribution of adaptation funding.

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Publication Details

Journal
npj Climate Action
Published
2025-08-11
DOI
https://doi.org/10.1038/s44168-025-00280-z
Citations
3
Primary Topic
demographic modeling and climate adaptation
Type
article
Field-Weighted Citation Impact
6.32
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article

Managing climate impacts—an analysis of adaptation funding in German cities and districts

Marlene Kammerer, Ulrike Zeigermann
3 citations
npj Climate Action
demographic modeling and climate adaptation
6.32
article

Managing climate impacts—an analysis of adaptation funding in German cities and districts

Marlene Kammerer, Ulrike Zeigermann
article en
3 citations

Abstract

Abstract With accelerating climate change, local governments must enhance adaptation efforts. Germany’s federal adaptation funding scheme (DAS) supports municipalities in developing adaptation strategies, yet disparities in funding distribution remain. This study analyses DAS adaptation funding across 400 German cities and districts using multilevel regression models. Findings reveal that urban areas receive more funding, influenced by higher education levels, income, and political support, and prior climate mitigation funding. In contrast, the sensitivity dimension of climate vulnerability shows weak correlations with funding allocation. These results highlight an urban-rural divide in climate adaptation financing and emphasize the role of socioeconomic and political factors in shaping local climate action. By addressing gaps in adaptation policy implementation, this study contributes to the understanding of climate governance and provides insights for improving the equitable distribution of adaptation funding.

npj Climate ActionVol. 4(1)
University of Bern (CH), Oeschger Centre for Climate Change Research (CH), Bern University of Applied Sciences (CH), University of Würzburg (DE), Würzburg Institute for Traffic Sciences (Germany) (DE), Centre Marc Bloch (DE), Swiss Federal Institute of Aquatic Science and Technology (CH)
Climate action
Openalex Percentile: Top 4%
demographic modeling and climate adaptation
6.32
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Managing climate impacts—an analysis of adaptation funding in German cities and districts — Marlene Kammerer, Ulrike Zeigermann · npj Climate Action (2025) | TGRS Research Map | TGRS