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Economic quantification of Loss and Damage funding needs

A loss and damage (L&D) fund has been established to support particularly vulnerable developing countries. L&D funding needs, entitlements and necessary contributions can be quantified using climate economics coupled with historical responsibility principles; for the year 2025, total L&D funding needs are estimated to be US $395 [128–937] billion.

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Fig. 1: Economic impacts of climate change and contributions to L&D funding for the year 2025.

References

  1. United Nations Environment Programme. Adaptation Gap Report 2023: Underfinanced. Underprepared. Inadequate investment and planning on climate adaptation leaves world exposed. (UN 2023). https://www.unep.org/resources/adaptation-gap-report-2023.

  2. Thomas, A. Research needs for loss and damage. Science 383, 798–798 (2024).

    Article  Google Scholar 

  3. Kotz, M., Wenz, L., Stechemesser, A., Kalkuhl, M. & Levermann, A. Day-to-day temperature variability reduces economic growth. Nat. Clim. Change 11, 319–325 (2021).

    Article  Google Scholar 

  4. Qian, C., Ye, Y., Chen, Y. & Zhai, P. An Updated Review of Event Attribution Approaches. J. Meteorol. Res. 36, 227–238 (2022).

    Article  Google Scholar 

  5. van der Geest, K. & van den Berg, R. Slow-onset events: a review of the evidence from the IPCC Special Reports on Land, Oceans and Cryosphere. Curr. Opin. Environ. Sustain. 50, 109–120 (2021).

    Article  Google Scholar 

  6. Burke, M., Hsiang, S. M. & Miguel, E. Global non-linear effect of temperature on economic production. Nature 527, 235–239 (2015).

    Article  CAS  Google Scholar 

  7. Kalkuhl, M. & Wenz, L. The impact of climate conditions on economic production. Evidence from a global panel of regions. J. Environ. Econ. Manag. 103, 102360 (2020).

    Article  Google Scholar 

  8. van der Wijst, K.-I. et al. New damage curves and multimodel analysis suggest lower optimal temperature. Nat. Clim. Change 13, 434–441 (2023).

    Article  Google Scholar 

  9. Gazzotti, P. et al. Persistent inequality in economically optimal climate policies. Nat. Commun. 12, 3421 (2021).

    Article  CAS  Google Scholar 

  10. Piontek, F. et al. Integrated perspective on translating biophysical to economic impacts of climate change. Nat. Clim. Change 11, 563–572 (2021).

    Article  Google Scholar 

  11. Hsiang, S. M. & Jina, A. S. The Causal Effect of Environmental Catastrophe on Long-Run Economic Growth: Evidence From 6,700 Cyclones (National Bureau of Economic Research, 2014).

  12. Mechler, R., Bouwer, L. M., Schinko, T., Surminski, S. & Linnerooth-Bayer, J. Loss and Damage from Climate Change: Concepts, Methods and Policy Options (Springer Nature, 2019).

  13. Rising, J., Tedesco, M., Piontek, F. & Stainforth, D. A. The missing risks of climate change. Nature 610, 643–651 (2022).

    Article  CAS  Google Scholar 

  14. Bastien-Olvera, B. A. et al. Unequal climate impacts on global values of natural capital. Nature 625, 722–727 (2024).

    Article  CAS  Google Scholar 

Download references

Acknowledgements

P.A. and M.C. acknowledge support from European Union’s Horizon Europe research and innovation programme under grant agreement No 101056873 (ELEVATE). M.T. acknowledges funding from the European Union ERC Grant project No 101044703 (EUNICE). R.M. and T.D. acknowledge support from the Zurich Flood Resilience Alliance.

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M.T. conceived the article. M.T. and P.A. developed the model for quantifying L&D. All authors reviewed the literature and wrote the paper.

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Correspondence to Massimo Tavoni.

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Nature Reviews Earth & Environment thanks Melanie Pill, Zoha Shawoo, Joyce Kimutai, and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

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Tavoni, M., Andreoni, P., Calcaterra, M. et al. Economic quantification of Loss and Damage funding needs. Nat Rev Earth Environ 5, 411–413 (2024). https://doi.org/10.1038/s43017-024-00565-7

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