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Assessing systemic climate change risk through composite indicators

داریوش
داریوش

CMCC@Ca' Foscari Seminar
15 November 2022

Speaker
Denitsa Angelova - CMCC@Ca' Foscari, RFF-CMCC European Institute on Economics and the Environment (EIEE) and Venice Ca' Foscari University

Moderator
Francesco Bosello – CMCC@Ca' Foscari, RFF-CMCC European Institute on Economics and the Environment (EIEE) and Venice Ca' Foscari University

We propose a country-level climate risk index that is transparent, replicable, grounded on quantitative information and rigorously rooted on the IPCC AR5 climate risk definition consisting in the intersection of hazard, exposure, and vulnerability. The climate risk index ranks 145 countries applying rigorous methods for normalization, weighting, and aggregation of the risk components. It was demonstrated that applying this climate risk definition, the exposure component, on its turn strictly correlated with population, dominates hazard and vulnerability (sensitivity and adaptive capacity). This result is robust to sensitivity tests on key parameters. Accordingly, countries with large populations would tend to score high in terms of climate risk, while countries with a small population would score low.

More information: https://www.cmcc.it/lectures_conferences/assessing-systemic-climate-change-risk-though-composite-indicators

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Assessing systemic climate change risk through composite indicators

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۰ نظر

CMCC@Ca' Foscari Seminar
15 November 2022

Speaker
Denitsa Angelova - CMCC@Ca' Foscari, RFF-CMCC European Institute on Economics and the Environment (EIEE) and Venice Ca' Foscari University

Moderator
Francesco Bosello – CMCC@Ca' Foscari, RFF-CMCC European Institute on Economics and the Environment (EIEE) and Venice Ca' Foscari University

We propose a country-level climate risk index that is transparent, replicable, grounded on quantitative information and rigorously rooted on the IPCC AR5 climate risk definition consisting in the intersection of hazard, exposure, and vulnerability. The climate risk index ranks 145 countries applying rigorous methods for normalization, weighting, and aggregation of the risk components. It was demonstrated that applying this climate risk definition, the exposure component, on its turn strictly correlated with population, dominates hazard and vulnerability (sensitivity and adaptive capacity). This result is robust to sensitivity tests on key parameters. Accordingly, countries with large populations would tend to score high in terms of climate risk, while countries with a small population would score low.

More information: https://www.cmcc.it/lectures_conferences/assessing-systemic-climate-change-risk-though-composite-indicators

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