The Physical Vulnerability to Climate Change Index computed at the sub-national level

The Physical Vulnerability to Climate Change Index (Feindouno et al., 2020) is a composite indicator computed at country level (191 countries) that can be used for the identification of the most vulnerable countries and as a criterion for guiding the international allocation of resources for adaptat...

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Bibliographic Details
Main Authors: Goujon, Michaël, Santoni, Olivier, Wagner, Laurent
Other Authors: Centre d'Études et de Recherches sur le Développement International (CERDI), Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Fondation pour les Etudes et Recherches sur le Développement International (FERDI), ANR-10-LABX-0014,IDGM+,Designing new international development policies from research outcomes. An enhanced(2010)
Format: Report
Language:English
Published: HAL CCSD 2022
Subjects:
Climate change
Vulnerability index
[SHS.ECO]Humanities and Social Sciences/Economics and Finance
Antarc*
Antarctica
Online Access:https://hal.science/hal-03672203
https://hal.science/hal-03672203/document
https://hal.science/hal-03672203/file/FERDI%20WP305%20The%20Physical%20Vulnerability%20to%20Climate%20Change%20Index%20computed%20at%20the%20sub-national%20level.pdf
Description
Summary:The Physical Vulnerability to Climate Change Index (Feindouno et al., 2020) is a composite indicator computed at country level (191 countries) that can be used for the identification of the most vulnerable countries and as a criterion for guiding the international allocation of resources for adaptation. In this paper we present the details of the computation of the PVCCI at the sub-national level (2nd sub-national administrative level in the GADM database), representing 47,138 administrative units in the World (covering all land but Antarctica). It aims at measuring vulnerability to climate change at a finer geographic level, which is particularly relevant for countries that are characterized by high geoclimatic diversity. It would help identify the most vulnerable subnational administrative units and could be used as an instrument of adaptation planning.

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