Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/326982 
Year of Publication: 
2025
Series/Report no.: 
I4R Discussion Paper Series No. 263
Publisher: 
Institute for Replication (I4R), s.l.
Abstract: 
Behavioral interventions on citizens are often promoted as a low-cost route to induce environmen-tally friendly behavior, yet published estimates of their effectiveness are highly variable and prone to selective reporting. We reanalyzed the evidence of behavioral interventions on citizens. We con-ducted Robust Bayesian Meta-Analysis (RoBMA), averaging across a full set of publication-bias adjusted models, to the 144 effect estimates (91 studies) compiled by Nisa et al. (2019). The bias-adjusted model-averaged posterior mean standardized effect of behavioral interventions on citizens is shrunk to 0.00 (95 % credible interval 0.00; 0.00), with a Bayes factor of 66 favoring the null. Accordingly, the previously reported noteworthy mean benefit of -0.093 (95% confidence interval -0.123; -0.063) of behavioral interventions, including promising light-touch interventions (nudges or social comparison), on households and individuals is an artefact of publication bias. There is, how-ever, evidence for small between-study heterogeneity, indicating that some specific interventions might have an effect. Exploratory subgroup tests offered only weak, inconsistent hints of context-specific gains. These results imply that, on average, behavioral interventions on households and individuals are unlikely to deliver material climate benefits.
Subjects: 
Behavioral interventions
Climate change mitigation
Publication bias
Robust Bayes-ian Meta-Analysis
Pro-environmental behavior
Document Type: 
Working Paper

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