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Field interventions for climate change mitigation behaviors: A second-order meta-analysis
Behavioral change is essential to mitigate climate change. To advance current knowledge, we synthesize research on interventions aiming to promote climate change mitigation behaviors in field settings. In a preregistered second-order meta-analysis, we assess the overall effect of 10 meta-analyses, i...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10068847/ https://www.ncbi.nlm.nih.gov/pubmed/36943888 http://dx.doi.org/10.1073/pnas.2214851120 |
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author | Bergquist, Magnus Thiel, Maximilian Goldberg, Matthew H. van der Linden, Sander |
author_facet | Bergquist, Magnus Thiel, Maximilian Goldberg, Matthew H. van der Linden, Sander |
author_sort | Bergquist, Magnus |
collection | PubMed |
description | Behavioral change is essential to mitigate climate change. To advance current knowledge, we synthesize research on interventions aiming to promote climate change mitigation behaviors in field settings. In a preregistered second-order meta-analysis, we assess the overall effect of 10 meta-analyses, incorporating a total of 430 primary studies. In addition, we assess subgroup analyses for six types of interventions, five behaviors, and three publication bias adjustments. Results showed that climate change mitigation interventions were generally effective (d(unadjusted) = 0.31, 95% CI [0.30, 0.32]). A follow-up analysis using only unique primary studies, adjusted for publication bias, provides a more conservative overall estimate (d = 0.18, 95% CI [0.13, 0.24]). This translates into a mean treatment effect of 7 percentage points. Furthermore, in a subsample of adequately powered large-scale interventions (n > 9,000, k = 32), the effect was adjusted downward to approximately 2 percentage points. This discrepancy might be because large-scale interventions often target nonvoluntary participants by less direct techniques (e.g., “home energy reports”) while small-scale interventions often target voluntary participants by more direct techniques (e.g., face-to-face interactions). Subgroup analyses showed that interventions based on social comparisons or financial incentives were the most effective, while education or feedback was the least effective. These results provide a comprehensive state-of-the-art summary of climate change mitigation interventions, guiding both future research and practice. |
format | Online Article Text |
id | pubmed-10068847 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-100688472023-04-04 Field interventions for climate change mitigation behaviors: A second-order meta-analysis Bergquist, Magnus Thiel, Maximilian Goldberg, Matthew H. van der Linden, Sander Proc Natl Acad Sci U S A Social Sciences Behavioral change is essential to mitigate climate change. To advance current knowledge, we synthesize research on interventions aiming to promote climate change mitigation behaviors in field settings. In a preregistered second-order meta-analysis, we assess the overall effect of 10 meta-analyses, incorporating a total of 430 primary studies. In addition, we assess subgroup analyses for six types of interventions, five behaviors, and three publication bias adjustments. Results showed that climate change mitigation interventions were generally effective (d(unadjusted) = 0.31, 95% CI [0.30, 0.32]). A follow-up analysis using only unique primary studies, adjusted for publication bias, provides a more conservative overall estimate (d = 0.18, 95% CI [0.13, 0.24]). This translates into a mean treatment effect of 7 percentage points. Furthermore, in a subsample of adequately powered large-scale interventions (n > 9,000, k = 32), the effect was adjusted downward to approximately 2 percentage points. This discrepancy might be because large-scale interventions often target nonvoluntary participants by less direct techniques (e.g., “home energy reports”) while small-scale interventions often target voluntary participants by more direct techniques (e.g., face-to-face interactions). Subgroup analyses showed that interventions based on social comparisons or financial incentives were the most effective, while education or feedback was the least effective. These results provide a comprehensive state-of-the-art summary of climate change mitigation interventions, guiding both future research and practice. National Academy of Sciences 2023-03-21 2023-03-28 /pmc/articles/PMC10068847/ /pubmed/36943888 http://dx.doi.org/10.1073/pnas.2214851120 Text en Copyright © 2023 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Social Sciences Bergquist, Magnus Thiel, Maximilian Goldberg, Matthew H. van der Linden, Sander Field interventions for climate change mitigation behaviors: A second-order meta-analysis |
title | Field interventions for climate change mitigation behaviors: A second-order meta-analysis |
title_full | Field interventions for climate change mitigation behaviors: A second-order meta-analysis |
title_fullStr | Field interventions for climate change mitigation behaviors: A second-order meta-analysis |
title_full_unstemmed | Field interventions for climate change mitigation behaviors: A second-order meta-analysis |
title_short | Field interventions for climate change mitigation behaviors: A second-order meta-analysis |
title_sort | field interventions for climate change mitigation behaviors: a second-order meta-analysis |
topic | Social Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10068847/ https://www.ncbi.nlm.nih.gov/pubmed/36943888 http://dx.doi.org/10.1073/pnas.2214851120 |
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