Climate-Related Disasters and the Death Toll
Valérie Chavez-Demoulin,
Eric Jondeau and
Linda Mhalla
Additional contact information
Valérie Chavez-Demoulin: University of Lausanne - School of Economics and Business Administration (HEC-Lausanne)
Linda Mhalla: HEC Montreal - Department of Decision Sciences; University of Geneva, Geneva School of Economics and Management, Research Center for Statistics
No 21-63, Swiss Finance Institute Research Paper Series from Swiss Finance Institute
Abstract:
With climate change accelerating, the frequency of climate disasters is expected to increase in the decades to come. There is ongoing debate as to how different climatic regions will be affected by such an acceleration. In this paper, we describe a model for predicting the frequency of climate disasters and the severity of the resulting number of deaths. The frequency of disasters is described as a Poisson process driven by aggregate CO2 emissions. The severity of disasters is described using a generalized Pareto distribution driven by the trend in regional real gross domestic product (GDP) per capita. We predict the death toll for different types of climate disasters based on the projections made by the Intergovernmental Panel on Climate Change for the population, the regional real GDP per capita, and aggregate CO2 emissions in the "sustainable" and "business-as-usual" baseline scenarios.
Keywords: Climate change; Climate disasters; Death toll; Frequency and severity (search for similar items in EconPapers)
Pages: 57 pages
Date: 2021-09
New Economics Papers: this item is included in nep-env and nep-isf
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3918201 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:chf:rpseri:rp2163
Access Statistics for this paper
More papers in Swiss Finance Institute Research Paper Series from Swiss Finance Institute Contact information at EDIRC.
Bibliographic data for series maintained by Ridima Mittal ().