Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/296743 
Year of Publication: 
2024
Series/Report no.: 
ESRI Working Paper No. 771
Publisher: 
The Economic and Social Research Institute (ESRI), Dublin
Abstract: 
Climate change is among the biggest challenges of our time. Climate impacts and socioeconomic vulnerability are spatially heterogeneous. Hence, adaptation policies are more effective when designed at lower administrative levels. However, spatially-detailed social vulnerability profiles are often not available. This paper employs a Conditional Monte Carlo simulation-based methodology to generate social vulnerability profiles representative at the electoral division level. These are used to investigate climate risk, considering flood risk in Ireland as a case study. The results highlight that while population exposure offers insight into flood risk patterns, incorporating socioeconomic vulnerability allows a more precise identification of areas of priority.
Subjects: 
Flood risk
Socioeconomic vulnerability
Small area estimation
Electoral divisions
Climate change
Ireland
JEL: 
C63
Q54
R11
Y91
Document Type: 
Working Paper

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