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Climate Change and Extreme Weather Events in Latin America: An Exposure Index

Authors: Adrian Garlati;

Climate Change and Extreme Weather Events in Latin America: An Exposure Index

Abstract

Climate change is changing the frequency and intensity of Extreme Weather Events (EWEs), particularly in poor developing countries, and the international community is increasingly suggesting the design of adaptation funds to resolve this situation. Measures of vulnerability and exposure to EWEs are a critical instrument in guaranteeing a transparent, efficient and equitable allocation process in these funds. Latin American countries, which contribute little to climate change but are hard-hit by EWEs, urgently need new indicators to back up their claims for financial and technical assistance. Using DesInventar data, the paper develops an innovative Disaster Exposure Index (DEI) that encompasses many disasters' impacts. DEI calculations indicate an unexpected scenario where some regions usually considered resilient are found to be exposed. The results call for further development of regional indicators to facilitate the international, national and sub- national allocation of adaptation funds.

Keywords

jel: jel:H84, jel: jel:H12

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Average
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