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Distribution of economic damages due to climate-driven sea-level rise across European regions and sectors
Cortés Arbués, I.; Chatzivasileiadis, T.; Ivanova, O.; Storm, S.; Bosello, F.; Filatova, T. (2024). Distribution of economic damages due to climate-driven sea-level rise across European regions and sectors. NPG Scientific Reports 14(1): 126. https://dx.doi.org/10.1038/s41598-023-48136-y
In: Scientific Reports (Nature Publishing Group). Nature Publishing Group: London. ISSN 2045-2322; e-ISSN 2045-2322, more
Peer reviewed article  

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Keyword
    Marine/Coastal

Authors  Top 
  • Cortés Arbués, I.
  • Chatzivasileiadis, T.
  • Ivanova, O.
  • Storm, S.
  • Bosello, F.
  • Filatova, T.

Abstract
    Economic costs of climate change are conventionally assessed at the aggregated global and national levels, while adaptation is local. When present, regionalised assessments are confined to direct damages, hindered by both data and models’ limitations. This article goes beyond the aggregated analysis to explore direct and indirect economic consequences of sea level rise (SLR) at regional and sectoral levels in Europe. Using a dynamic computable general equilibrium model and novel datasets, we estimate the distribution of losses and gains across regions and sectors. A comparison of a high-end scenario against a no-climate-impact baseline suggests a GDP loss of 1.26% (€871.8 billion) for the whole EU&UK. Conversely our refined assessments show that some coastal regions lose 9.56–20.84% of GDP, revealing striking regional disparities. Inland regions grow due to the displaced demand from coastal areas, but the GDP gains are small (0–1.13%). While recovery benefits the construction sector, public services and industry face significant downturns. We show that prioritising recovery of critical sectors locally reduces massive regional GDP losses, at negligible costs to the overall European economy. Our analysis traces regional economic restructuring triggered by SLR, underscoring the necessity of region-specific adaptation policies that embrace uneven geographic impacts and unique sectoral profiles to inform resilient strategy design.

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