Climate change adaptation costs in developing countries: insights from existing estimates

  • Dipesh Chapagain*
  • , Florent Baarsch
  • , Michiel Schaeffer
  • , Sarah D'haen
  • *Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

Given limited scientific agreement on approaches and methodologies, estimates of climate-change adaptation costs vary widely. Here, we present a meta-analysis of aggregate adaptation costs in developing countries, across three roughly homogeneous groups of estimates, i.e. national plan-based, bottom-up science-based, and global top-down estimates. We show that the level of global warming, a country's economic status, and methodology applied, are the main determinants for the estimated costs of adaptation. Not surprisingly, adaptation costs are much higher at high levels of global warming by 2050 and 2100, diverging from low levels of warming from the 2030s. Consequently, strong global mitigation action could reduce the adaptation costs by three quarters by 2100. Next, adaptation costs are higher for high-income countries in absolute dollar value, but costs are higher relative to gross domestic product for low-income countries. The integrated assessment model based estimates are at the higher end of the range at the global scale, but the estimates based on the sectoral impacts aggregation approach are higher in case of bottom-up estimates. Regardless of the methodology applied, current climate finance pledges of USD100 billion by 2020 - for both mitigation and adaptation - would fall far short of estimated global adaptation costs.

Original languageEnglish
Pages (from-to)934-942
Number of pages9
JournalClimate and Development
Volume12
Issue number10
DOIs
Publication statusPublished - Dec 2020
Externally publishedYes

Bibliographical note

Funding Information:
This research was sponsored by the International Climate Protection Fellowship Programme of the Alexander von Humboldt Foundation with financial support from the German Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety (BMUB). Authors are very thankful to Dr. (h.c) Bill Hare, Peter Pfleiderer, Jessie Ruth Granadillos, Manjeet Dhakal and all the members of Climate Analytics gGmbH for their great support to conduct this research and two anonymous reviewers for their valuable comments.

Funding Information:
This research was sponsored by the International Climate Protection Fellowship Programme of the Alexander von Humboldt Foundation with financial support from the German Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety (BMUB). Authors are very thankful to Dr. (h.c) Bill Hare, Peter Pfleiderer, Jessie Ruth Granadillos, Manjeet Dhakal and all the members of Climate Analytics gGmbH for their great support to conduct this research and two anonymous reviewers for their valuable comments.

Publisher Copyright:
© 2020 Informa UK Limited, trading as Taylor & Francis Group.

Funding

This research was sponsored by the International Climate Protection Fellowship Programme of the Alexander von Humboldt Foundation with financial support from the German Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety (BMUB). Authors are very thankful to Dr. (h.c) Bill Hare, Peter Pfleiderer, Jessie Ruth Granadillos, Manjeet Dhakal and all the members of Climate Analytics gGmbH for their great support to conduct this research and two anonymous reviewers for their valuable comments. This research was sponsored by the International Climate Protection Fellowship Programme of the Alexander von Humboldt Foundation with financial support from the German Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety (BMUB). Authors are very thankful to Dr. (h.c) Bill Hare, Peter Pfleiderer, Jessie Ruth Granadillos, Manjeet Dhakal and all the members of Climate Analytics gGmbH for their great support to conduct this research and two anonymous reviewers for their valuable comments.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • adaptation costs
  • Climate change
  • developing countries
  • future projection
  • meta-analysis

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