Climate Change: What Psychology Can Offer in Terms of Insights and Solutions
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Can psychological science offer evidence-based solutions to climate change? Using insights and principles derived from the literature on social dilemmas and human cooperation, we discuss evidence in support of three solutions: crossing the borders of thought, time, and space. First, borders of thought could be crossed by using persuasion that is concrete and tailored to local circumstances and by highlighting information about people’s efforts as evidence against the myth of self-interest. Second, borders of time could be crossed by using kinship cues, which can help make the future less distant, and relatively uninvolved advisors, who may help make the future salient. And third, borders of space could be crossed by showing group representatives how they might benefit from a frame of altruistic competition—focusing on the benefits of being seen as moral and global in orientation. Our overall conclusion is that psychological science can offer evidence-based solutions to climate change.
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Motivation may be cultivated by increasing a sense of individual and collective efficacy through climate action, fostering a sense of altruism, and emphasising the positive effects of climate change mitigation.
“The literature suggests that motivation may be cultivated by increasing a sense of individual and collective efficacy through climate action [46,49,50,53], fostering a sense of altruism [44], and emphasising the positive effects of climate change mitigation [50].”
From Climate Distress: A Review of Current Psychological Research and Practice (2023) · cites this paper as [44]
The Abstract says perceived control and efficacy are low, and Borders of Space proposes competitive altruism as a way to encourage climate cooperation. The paper does not explicitly recommend building individual and collective efficacy through climate action or emphasising the positive effects of mitigation as motivational strategies. The support for altruism is also specifically about reputational competition among national representatives. (LLM, conf=0.82)
Experimental — accuracy not yet measuredPlace-and legacy-based interventions have been explored as effective motivational strategies.
“Place-and legacy-based interventions have also been explored as effective motivational strategies [44,48,50,53,54].”
From Climate Distress: A Review of Current Psychological Research and Practice (2023) · cites this paper as [44]
The Borders of Thought section recommends information tailored to local circumstances as likely to motivate climate action, and Borders of Time recommends emphasizing children and future generations. These support the place- and legacy-based strategies, but the paper presents their effectiveness as likely or expected rather than established by tested interventions. Page numbers are unavailable in our copy. (LLM, conf=0.85)
Experimental — accuracy not yet measuredVan Lange et al. suggest that the inability of society-wide eco-friendly movements to produce broad change is due to time, distance, uncertainty, and a tendency towards individual self-interest and the competitive mindsets of leaders.
“Van Lange et al. use a psychology lens to discuss climate change behaviour on a societal level, suggesting that the inability of society-wide eco-friendly movements to produce broad change is due to time, distance, uncertainty, and a tendency towards individual self-interest and the competitive mindsets of leaders [44].”
From Climate Distress: A Review of Current Psychological Research and Practice (2023) · cites this paper as [44]
The Abstract and Concluding Remarks (pages unavailable in our copy) identify time, distance or abstraction, uncertainty, self-interest, and leaders’ competitive mindsets as obstacles to collective climate action. The paper does not establish that society-wide eco-friendly movements have failed to produce broad change, so that more specific framing is unsupported. (LLM, conf=0.84)
Experimental — accuracy not yet measuredThere is a conflict between short-term self-interest and longer-term collective interest.
“In particular, there is a conflict between short-term self-interest vs longer-term collective interest 184 .”
From Using social and behavioural science to support COVID-19 pandemic response (2020) · cites this paper as [184]
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- Authors
- Van Lange, P. A. M., Joireman, J., & Milinski, M.
- Affiliations
- Department of Experimental and Applied Psychology, Institute for Brain and Behavior Amsterdam, Vrije Universiteit Amsterdam
- Washington State University (US)
- Max Planck Institute for Evolutionary Biology (DE)
- Venue
- Current Directions in Psychological Science
- Publisher
- SAGE Publications
- Published
- 2018-07-12
- Volume
- 27
- Issue
- 4
- Pages
- 269-274
- ISSN
- 0963-7214 (ISSN-L)
- 1467-8721
- PMC
- PMC6099976
- OpenAlex
- W2883869975
- Cited by
- 166
- References
- 40
- Citations by year
- 2026: 8 · 2025: 4 · 2024: 16 · 2023: 14 · 2022: 9 · 2021: 52 · 2020: 58 · 2019: 4 · 2018: 1
- FWCI
- 65.41
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Current Directions in Psychological Science (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- VU Research Portal (publishedVersion, cc-by-nc)
- MPG.PuRe (Max Planck Society) (submittedVersion, cc-by-nc)
- Data Archiving and Networked Services (DANS) (submittedVersion, cc-by-nc)
- Topics
- Social Sciences › Sociology and Political Science › Climate Change Communication and Perception
- Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Environmental Education and Sustainability
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Climate Change Policy and Economics
- Keywords
- climate change, social dilemmas, human cooperation, persuasion, self-interest, time perception, group representatives, moral identity, global orientation, evidence-based solutions
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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