The modelled costs of adaptation
cg.authorship.types | CGIAR single centre | en |
cg.authorship.types | CGIAR and advanced research institute | en |
cg.contributor.affiliation | Paul Watkiss Associates | en |
cg.contributor.affiliation | Economic and Social Research Institute | en |
cg.contributor.affiliation | CMCC Foundation | en |
cg.contributor.affiliation | University of Washington | en |
cg.contributor.affiliation | Global Climate Forum | en |
cg.contributor.affiliation | University of Bath | en |
cg.contributor.affiliation | World Bank | en |
cg.contributor.affiliation | International Food Policy Research Institute | en |
cg.contributor.affiliation | Vrije Universiteit Amsterdam | en |
cg.contributor.affiliation | Ecologic Institute | en |
cg.contributor.affiliation | Lincoln University | en |
cg.contributor.affiliation | CGIAR System Organization | en |
cg.contributor.donor | United Nations Environment Programme | en |
cg.contributor.donor | CGIAR Trust Fund | en |
cg.contributor.initiative | Foresight | |
cg.creator.identifier | Timothy B. Sulser: 0000-0001-7128-5283 | |
cg.howPublished | Grey Literature | en |
cg.identifier.doi | https://doi.org/10.59117/20.500.11822/43796 | en |
cg.identifier.project | IFPRI - Foresight and Policy Modeling Unit | |
cg.identifier.project | IFPRI - Systems Transformation - Transformation Strategies | |
cg.identifier.project | IFPRI - IMPACT model | |
cg.identifier.publicationRank | Not ranked | |
cg.number | 2023 | en |
cg.place | Nairobi, Kenya | en |
cg.reviewStatus | Internal Review | en |
cg.subject.actionArea | Systems Transformation | |
cg.subject.impactArea | Poverty reduction, livelihoods and jobs | |
cg.subject.impactPlatform | Poverty Reduction, Livelihoods and Jobs | |
dc.contributor.author | Watkiss, Paul | en |
dc.contributor.author | Bruin, Kelly de | en |
dc.contributor.author | Dasgupta, Shouro | en |
dc.contributor.author | Ebi, Kristie | en |
dc.contributor.author | Hinkel, Jochen | en |
dc.contributor.author | Hunt, Alistair | en |
dc.contributor.author | Lincke, Daniel | en |
dc.contributor.author | Rozenberg, Julie | en |
dc.contributor.author | Sayer, Pieter | en |
dc.contributor.author | Shariq, Ammara | en |
dc.contributor.author | Sulser, Timothy B. | en |
dc.contributor.author | Tiggeloven, Timothy | en |
dc.contributor.author | Tröltzsch, Jenny | en |
dc.contributor.author | Ward, Philip | en |
dc.contributor.author | Wreford, Anita | en |
dc.date.accessioned | 2023-12-04T16:12:50Z | en |
dc.date.available | 2023-12-04T16:12:50Z | en |
dc.identifier.uri | https://hdl.handle.net/10568/134957 | |
dc.title | The modelled costs of adaptation | en |
dcterms.abstract | Key messages ▶ The Adaptation Finance Gap (AFG) Update 2023 has undertaken an updated modelling assessment of the cost of adaptation for developing countries. This analysis has used a suite of global sector assessment models, complemented by new analysis in additional sectors. ▶ The update analysis estimates the plausible central costs of adaptation at approximately US$240 billion per year this decade (up to 2030), with a range of US$130–415 billion per year. The central estimate is equivalent to 0.56 per cent of the gross domestic product (GDP) (2021) for all developing countries (or approximately US$33 per capita/per year). ▶ The highest adaptation costs are for river flood protection, infrastructure and coastal protection, and for the regions of East Asia and the Pacific and Latin America and the Caribbean. ▶ The highest absolute costs are for the upper- and lower-middle-income countries. However, when expressed as a percentage of GDP, adaptation costs are much higher for low-income countries (3.5 per cent) than for lower-middle-income (0.7 per cent) and upper-middle-income (0.5 per cent) countries. ▶ The costs for lower-income and lower-middle-income countries are estimated at US$76 billion per year this decade: the costs for small island developing States (SIDS) alone are estimated at US$4.7 billion per year (0.7 per cent of their GDP) and for least developed countries (LDCs) at US$25 billion per year (2 per cent of their GDP). ▶ The modelled costs of adaptation are estimated to increase significantly by 2050, especially for high-warming scenarios. ▶ These updated costs show a significant increase compared to previous similar studies. This not only reflects the more negative impacts of climate change reported in the literature (for the sectors previously modelled), but also a wider range of risks and sectors. | en |
dcterms.accessRights | Open Access | |
dcterms.audience | Academics | en |
dcterms.audience | Scientists | en |
dcterms.available | 2023-11-01 | |
dcterms.bibliographicCitation | Watkiss, P; K de Bruin; S Dasgupta; K Ebi; J Hinkel; A Hunt; D Lincke; J Rozenberg; P Sayer; A Shariq; TB Sulser; T Tiggeloven; J Tröltzsch; P Ward; A Wreford. 2023. Chapter 2. The modelled costs of adaptation. In The Adaptation Finance Gap Update 2023 for UNEP's Adaptation Gap Report 2023: Underfinanced. Underprepared. Inadequate investment and planning on climate adaptation leaves world exposed. UNEP. Nairobi. https://doi.org/10.59117/20.500.11822/43796 | en |
dcterms.extent | 9-27 | en |
dcterms.isPartOf | Adaptation Gap Report | en |
dcterms.issued | 2023 | |
dcterms.language | en | |
dcterms.license | Copyrighted; all rights reserved | |
dcterms.publisher | United Nations Environment Programme | en |
dcterms.relation | https://hdl.handle.net/10568/150391 | en |
dcterms.relation | https://doi.org/10.2499/9780896294165 | en |
dcterms.replaces | https://ebrary.ifpri.org/digital/collection/p15738coll5/id/8955 | en |
dcterms.subject | adaptation | en |
dcterms.subject | climate change | en |
dcterms.subject | climate change adaptation | en |
dcterms.subject | developing countries | en |
dcterms.subject | estimated costs | en |
dcterms.subject | finance | en |
dcterms.subject | infrastructure | en |
dcterms.type | Report |
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