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Reducing carbon emissions of households through monetary incentives and behavioral interventions: a meta-analysis

  • Despite the importance of evaluating all mitigation options so as to inform policy decisions addressing climate change, a systematic analysis of household-scale interventions to reduce carbon emissions is missing. Here, we address this gap through a state-of-the-art machine-learning assisted meta-analysis to comparatively assess the effectiveness of a range of monetary and behavioral interventions in energy demand of residential buildings. We identify 122 studies and extract 360 effect sizes representing trials on 1.2 million households in 25 countries. We find that all the studied interventions reduce energy consumption of households. Our meta-regression evidences that monetary incentives are on an average more effective than behavioral interventions, but deploying the right combinations of interventions together can increase overall effectiveness. We estimate global cumulative emissions reduction of 8.64 Gt CO2 by 2040, though deploying the most effective packages and interventions could result in greater reduction. While modest, this potential should be viewed in conjunction with the need for de-risking mitigation with energy demand reductions and realizing substantial co-benefits. 

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Metadaten
Document Type:Working Paper
Language:German
Author(s):Tarun KhannaORCiD, Giovanni Baiocchi, Max W. Callaghan, Felix Creutzig, Horia Bogdan Guias, Neal Haddaway, Lion HirthORCiD, Aneeque Javaid, Nicolas Koch, Sonja Laukemper, Andreas Loeschel, Maria Del Mar Zamora, Jan C. MinxORCiD
Publication year:2021
Publishing Institution:Hertie School
DOI:https://doi.org/10.21203/rs.3.rs-124386/v1
Release Date:2021/06/07
Hertie School Research:Centre for Sustainability
Licence of document (German):Metadaten / metadata
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