Worst first: Thermal retrofits, carbon prices, and inequality

The energy price crisis following Russia’s invasion of Ukraine exposed the heightened vulnerability of low-income households to rising heating costs, particularly those in energy-inefficient buildings. Using data from the German Socio-Economic Panel (SOEP), this study examines the distributional impact of heating costs across income deciles and evaluates the effectiveness of policy interventions. We find that low-income tenants are the most vulnerable segment of the population, with elevated risks of energy poverty. While tenant-landlord carbon cost-splitting can partially shield low-income households from carbon costs, they remain exposed to energy price risks. In contrast, a “Worst-First” retrofit strategy, prioritizing upgrades in the least efficient buildings, substantially reduces heating costs and mitigates energy poverty. Our findings highlight the need for targeted retrofit policies to ensure both equitable decarbonization and economic relief for vulnerable households. • Microsimulation of heating and CO 2 burdens across and within income deciles using SOEP. • Low-income tenants face median heating shares of 13–17% in 2024. • Tenant–landlord CO 2 split cushions carbon costs but does not mitigate energy-price spikes. • Worst-first retrofits reduce heating costs by 39–58% and significantly alleviate energy poverty. • Rent increases after retrofits diminish tenants’ benefits, hence policy for fair cost sharing is crucial.

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Publication Details

Journal
Energy Policy
Published
2026-03-03
DOI
https://doi.org/10.1016/j.enpol.2026.115145
Primary Topic
Energy and Environment Impacts
Type
article
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article

Worst first: Thermal retrofits, carbon prices, and inequality

Maximilian Longmuir, Karsten Neuhoff, Sophie M. Behr, Merve Kucuk
Energy Policy
Energy and Environment Impacts
article

Worst first: Thermal retrofits, carbon prices, and inequality

Maximilian Longmuir, Karsten Neuhoff, Sophie M. Behr, Merve Kucuk
article en

Abstract

The energy price crisis following Russia’s invasion of Ukraine exposed the heightened vulnerability of low-income households to rising heating costs, particularly those in energy-inefficient buildings. Using data from the German Socio-Economic Panel (SOEP), this study examines the distributional impact of heating costs across income deciles and evaluates the effectiveness of policy interventions. We find that low-income tenants are the most vulnerable segment of the population, with elevated risks of energy poverty. While tenant-landlord carbon cost-splitting can partially shield low-income households from carbon costs, they remain exposed to energy price risks. In contrast, a “Worst-First” retrofit strategy, prioritizing upgrades in the least efficient buildings, substantially reduces heating costs and mitigates energy poverty. Our findings highlight the need for targeted retrofit policies to ensure both equitable decarbonization and economic relief for vulnerable households. • Microsimulation of heating and CO 2 burdens across and within income deciles using SOEP. • Low-income tenants face median heating shares of 13–17% in 2024. • Tenant–landlord CO 2 split cushions carbon costs but does not mitigate energy-price spikes. • Worst-first retrofits reduce heating costs by 39–58% and significantly alleviate energy poverty. • Rent increases after retrofits diminish tenants’ benefits, hence policy for fair cost sharing is crucial.

Energy PolicyVol. 213
The Graduate Center, CUNY (US), German Institute for Economic Research (DE), Ca' Foscari University of Venice (IT), UNSW Sydney (AU), CMCC Foundation - Euro-Mediterranean Center on Climate Change (IT), Technische Universität Berlin (DE)
No poverty
Openalex Percentile: Top 38%
Energy and Environment Impacts
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Worst first: Thermal retrofits, carbon prices, and inequality — Maximilian Longmuir, Karsten Neuhoff, et al. · Energy Policy (2026) | TGRS Research Map | TGRS