A trend analysis of normalized insured damage from natural disasters

By Fabian Barthel, Eric Neumayer. Climatic Change, 2012

146 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Global and Planetary Change, Soil Science

View Paper: https://www.semanticscholar.org/paper/daeaabc7c5f8bba31e90ac855b73e6bc89abea93

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Citations in the corpus

On the relation between weather-related disaster impacts, vulnerability and climate change (2014, background): “A number of studies have been carried out recently to shed more light on the relationship between disasters and climate change (see Neumayer and Barthel 2011; Bouwer 2011a; Barthel and Neumayer 2012, and references therein).”
Applications of artificial intelligence for disaster management (2020, methodology): “…structural damage, identifying repair needs, and estimating repair cost; they have also been used to analyze historical dispersion data of disaster recovery funds for budget allocations, and process insurance claims in less time (Chen and Huang 2006; Barthel and Neumayer 2012; Zagorecki et al.”
Informing Climate Adaptation: A Review of the Economic Costs of Natural Disasters, Their Determinants, and Risk Reduction Options (2012, unknown): “And two studies focused on the US find that there may be an upward trend in costs, even after normalization (Barthel and Neumayer, 2012; Gall et al., 2011).”
US billion-dollar weather and climate disasters: data sources, trends, accuracy and biases (2013, unknown): “For instance, at least borderline statistically significant trends in the aggregate annual loss from tropical cyclones (Barthel and Neumayer 2012), as well as in the frequency of damaging events (Katz 2010) and in the loss from individual storms (Nordhaus 2010), have been obtained.”
The political economy of natural disaster damage (2014, methodology): “…included a measure of insurance penetration (disaster-relevant insurance pre- mia divided by gross domestic product), directly provided by Munich Re (Barthel and Neumayer 2012), in order to account for the fact tha countries with higher insurance penetration are more likely to have disaster…”