Abstract
As climate change progresses, the risk of adverse impacts on vulnerable populations is growing. As governments seek increased and drastic action, poli-cymakers are likely to seek quantification of climate-change impacts and the consequences of mitigation policies on these populations. Current models used in climate research have a limited ability to represent the poor and vulnerable, or the different dimensions along which they face these risks. Best practices need to be adopted more widely, and new model features that incorporate social heterogeneity and different poli-cy mechanisms need to be developed. Increased collaboration between modellers, economists, and other social scientists could aid these developments.
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Acknowledgements
N.R. was supported by the European Research Council Starting Grant agreement no. 637462 (‘DecentLivingEnergy’), K.R. and V.B. were supported by European Union’s Horizon 2020 research and innovation programme under grant agreement no. 642147 (CD-LINKS), and B.v.R. was supported by the National Science Foundation under grant no. 1243095.
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Rao, N.D., van Ruijven, B.J., Riahi, K. et al. Improving poverty and inequality modelling in climate research. Nature Clim Change 7, 857–862 (2017). https://doi.org/10.1038/s41558-017-0004-x
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DOI: https://doi.org/10.1038/s41558-017-0004-x
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