Climate action with revenue recycling has benefits for poverty, inequality and well-being

Budolfson, M., Dennig, F., Errickson, F., Feindt, S., Ferranna, M., Fleurbaey, M., Klenert, D., Kornek, U., Kuruc, K., Méjean, A., Peng, W., Scovronick, N., Spears, D., Wagner, F. ORCID: https://orcid.org/0000-0003-3429-2374, & Zuber, S. (2021). Climate action with revenue recycling has benefits for poverty, inequality and well-being. Nature Climate Change 11 1111-1116. 10.1038/s41558-021-01217-0.

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Official URL: https://rdcu.be/cCkjL
Project: Next generation of AdVanced InteGrated Assessment modelling to support climaTE policy making (NAVIGATE, H2020 821124)

Abstract

Existing estimates of optimal climate policy ignore the possibility that carbon tax revenues could be used in a progressive way; model results therefore typically imply that near-term climate action comes at some cost to the poor. Using the Nested Inequalities Climate Economy (NICE) model, we show that an equal per capita refund of carbon tax revenues implies that achieving a 2 °C target can pay large and immediate dividends for improving well-being, reducing inequality and alleviating poverty. In an optimal policy calculation that weighs the benefits against the costs of mitigation, the recommended policy is characterized by aggressive near-term climate action followed by a slower climb towards full decarbonization; this pattern—which is driven by a carbon revenue Laffer curve—prevents runaway warming while also preserving tax revenues for redistribution. Accounting for these dynamics corrects a long-standing bias against strong immediate climate action in the optimal policy literature.

Item Type: Article
Research Programs: Energy, Climate, and Environment (ECE)
Energy, Climate, and Environment (ECE) > Pollution Management (PM)
Energy, Climate, and Environment (ECE) > Transformative Institutional and Social Solutions (TISS)
Depositing User: Michaela Rossini
Date Deposited: 30 Nov 2021 09:06
Last Modified: 09 Sep 2024 12:42
URI: https://pure.iiasa.ac.at/17681

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