Behaviourally-informed peer referral programmes can increase the reach of low-income energy policies
Kimberly S. Wolske (),
Annika Todd-Blick and
Emma Tome
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Kimberly S. Wolske: University of Chicago
Annika Todd-Blick: Ernest Orlando Lawrence Berkeley National Laboratory
Emma Tome: National Renewable Energy Laboratory
Nature Energy, 2023, vol. 8, issue 8, 787-788
Abstract:
Low-income solar adopters are more likely to refer others to a fully subsidized solar programme when referral rewards are combined with an appeal to reciprocity and a simplified referral process, leading to five times as many solar contracts as when referral rewards are used alone. The findings highlight behavioural science strategies that administrators of low-income energy assistance programmes can use to cost-effectively accelerate programme uptake.
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natene:v:8:y:2023:i:8:d:10.1038_s41560-023-01323-7
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DOI: 10.1038/s41560-023-01323-7
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