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      Distribution of economic damages due to climate-driven sea-level rise across European regions and sectors

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          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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          Most cited references36

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          The rising tide: assessing the risks of climate change and human settlements in low elevation coastal zones

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            Coastal flood damage and adaptation costs under 21st century sea-level rise.

            Coastal flood damage and adaptation costs under 21st century sea-level rise are assessed on a global scale taking into account a wide range of uncertainties in continental topography data, population data, protection strategies, socioeconomic development and sea-level rise. Uncertainty in global mean and regional sea level was derived from four different climate models from the Coupled Model Intercomparison Project Phase 5, each combined with three land-ice scenarios based on the published range of contributions from ice sheets and glaciers. Without adaptation, 0.2-4.6% of global population is expected to be flooded annually in 2100 under 25-123 cm of global mean sea-level rise, with expected annual losses of 0.3-9.3% of global gross domestic product. Damages of this magnitude are very unlikely to be tolerated by society and adaptation will be widespread. The global costs of protecting the coast with dikes are significant with annual investment and maintenance costs of US$ 12-71 billion in 2100, but much smaller than the global cost of avoided damages even without accounting for indirect costs of damage to regional production supply. Flood damages by the end of this century are much more sensitive to the applied protection strategy than to variations in climate and socioeconomic scenarios as well as in physical data sources (topography and climate model). Our results emphasize the central role of long-term coastal adaptation strategies. These should also take into account that protecting large parts of the developed coast increases the risk of catastrophic consequences in the case of defense failure.
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              Sea-level rise and its impact on coastal zones.

              Global sea levels have risen through the 20th century. These rises will almost certainly accelerate through the 21st century and beyond because of global warming, but their magnitude remains uncertain. Key uncertainties include the possible role of the Greenland and West Antarctic ice sheets and the amplitude of regional changes in sea level. In many areas, nonclimatic components of relative sea-level change (mainly subsidence) can also be locally appreciable. Although the impacts of sea-level rise are potentially large, the application and success of adaptation are large uncertainties that require more assessment and consideration.
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                Author and article information

                Contributors
                i.cortesarbues@tudelft.nl
                t.chatzivasileiadis@tudelft.nl
                t.filatova@tudelft.nl
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                18 January 2024
                18 January 2024
                2024
                : 14
                : 126
                Affiliations
                [1 ]Department of Multi-Actor Systems, Faculty of Technology, Policy and Management, Delft University of Technology, ( https://ror.org/02e2c7k09) Delft, The Netherlands
                [2 ]PBL Netherlands Environmental Assessment Agency, ( https://ror.org/052x1hs80) The Hague, The Netherlands
                [3 ]Department of Values, Technology and Innovation, Faculty of Technology, Policy and Management, Delft University of Technology, ( https://ror.org/02e2c7k09) Delft, The Netherlands
                [4 ]GRID grid.511456.2, ISNI 0000 0004 9291 3260, RFF-CMCC European Institute on Economics and the Environment (EIEE), , Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, ; Milan, Italy
                [5 ]CMCC@Ca’Foscari Centro Euro-Mediterraneo sui Cambiamenti Climatici, Università Ca’Foscari, ( https://ror.org/04yzxz566) Venice, Italy
                [6 ]Department of Environmental Sciences, Informatics and Statistics, Ca’Foscari University of Venice, ( https://ror.org/04yzxz566) Venice, Italy
                Author information
                https://orcid.org/0009-0007-1210-1924
                Article
                48136
                10.1038/s41598-023-48136-y
                10796335
                38238364
                e99d0434-2145-43b9-a73a-d52534f98a35
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 18 July 2023
                : 22 November 2023
                Funding
                Funded by: EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council)
                Award ID: 758014
                Award ID: 758014
                Award Recipient :
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                © Springer Nature Limited 2024

                Uncategorized
                environmental economics,climate-change impacts
                Uncategorized
                environmental economics, climate-change impacts

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