JOURNAL ARTICLE

Mitigating Climate Change via the Demand Side and Behavioral Insights: Policy Recommendation and Current Challenges.

  • Published In: Policy Insights from the Behavioral & Brain Sciences, 2024, v. 11, n. 2. P. 164 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Berger, Sebastian; Cologna, Viktoria; Bauer, Jan M. 3 of 3

Abstract

The article examines the role of behavioral insights—systematic applications of behavioral and brain science findings—in demand-side climate change mitigation, emphasizing their potential and limitations. It argues that the average effectiveness of behavioral interventions is often uninformative due to heterogeneous effects across populations, contexts, and policy regimes, and that many impactful behavioral applications occur outside academic literature, such as in private sector practices revealed through legal and corporate documents. The article highlights the critical challenge of scaling behavioral interventions from controlled studies to real-world policy outcomes, noting that effectiveness often diminishes when expanded. Consequently, it recommends cautious, case-by-case application of behavioral insights, incorporating diverse evidence sources and focusing on context-specific factors to enhance climate mitigation efforts.

Additional Information

  • Source:Policy Insights from the Behavioral & Brain Sciences. 2024/10, Vol. 11, Issue 2, p164
  • Document Type:Article
  • Subject Area:Politics and Government
  • Publication Date:2024
  • ISSN:2372-7322
  • DOI:10.1177/23727322241275147
  • Accession Number:180405560
  • Copyright Statement:Copyright of Policy Insights from the Behavioral & Brain Sciences is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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