| Literature DB >> 35064164 |
Anandita Sabherwal1, Ganga Shreedhar2.
Abstract
What makes a climate story effective? We examined if short fiction stories about everyday pro-environmental behaviours motivate climate policy support, and individual and collective climate action in a nationally representative experiment (N = 903 UK adults). The story featuring protagonists driven by pro-environmental intentions (i.e., the intentional environmentalist narrative) increased participants' support for pro-climate policies and intentions to take both individual and collective pro-environmental actions, more so than did stories featuring protagonists whose pro-environmental behaviours were driven by intentions to gain social status, to protect their health, and a control story. Participants' stronger feelings of identification with the protagonist partially explained these effects of the intentional environmentalist narrative. Results highlight that narrating intentional, rather than unintentional, pro-environmental action can enhance readers' climate policy support and intentions to perform pro-environmental action. Therefore, the intentions driving pro-environmental action may have implications for the extent to which observes identify with the actor and take pro-environmental action themselves.Entities:
Year: 2022 PMID: 35064164 PMCID: PMC8782940 DOI: 10.1038/s41598-021-04392-4
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Experimental set-up. The sample was nationally representative of the UK with regards to age, gender and ethnicity; recruited via Prolific Academic; randomly assigned to one of three experimental conditions or control. Figure created by first author using Microsoft PowerPoint Version 16.54 https://www.microsoft.com/en-us/microsoft-365/powerpoint.
Descriptive statistics of dependent variables (sample and condition).
| Variable | Sample mean (SD) | Scale reliability alpha [95% CI] | Control mean (SD) | Intentional mean (SD) | Status-seeking mean (SD) | Accidental mean (SD) |
|---|---|---|---|---|---|---|
| Policy support | 4.32 (1.15) | 0.87 [0.86, 0.88] | 4.22 (1.12) | 4.53 (1.15) | 4.23 (1.17) | 4.31 (1.14) |
| Collective action intention | 3.51 (1.59) | 0.86 [0.84, 0.87] | 3.38 (1.56) | 3.76 (1.58) | 3.52 (1.65) | 3.39 (1.55) |
| Individual action intention | 3.46 (1.65) | 0.80 [0.77, 0.82] | 3.33 (1.68) | 3.67(1.62) | 3.38 (1.64) | 3.48 (1.63) |
| Identification | 4.16 (1.31) | 0.80 [0.82, 0.84] | 4.08 (1.19) | 4.45 (1.32) | 3.76 (1.33) | 4.33 (1.28) |
| Donation | 0.48 (0.37) | NA | 0.46 (0.38) | 0.48 (0.36) | 0.49 (0.36) | 0.47 (0.37) |
Figure 2Climate policy support and action intentions across stories. Error bars represent 95% confidence interval of the means. Policy support, collective action and individual action intentions measured using 10-item, 3-item and 3-item composites respectively. All items measured on Likert scales of 1(not at all) to 7(extremely).
Figure 3Effect of stories on climate policy support and action intentions. †p < 0.1, *p < 0.05, **p < 0.01, ***p < 0.001. Estimates are standardised coefficients. Error bars represent 95% confidence. Blue and red represent positive and negative effects respectively. All outcomes measured using composites, on Likert scales of 1(not at all) to 7(extremely). Omitted categories: Control group, non-vegetarian/vegan diet, Brexit: leave, male, white. Scales for ordinal/numerical variables: PEB (Past environmental behaviour)—0–2 scale, Age—continuous numerical variable, Income—Likert scale of 1(less than £20,000) to 6 (more than £100,000), Education—Likert scale of 1(less than O level) to 10 (Doctorate or other professional degree), Literacy—Likert scale of 1 (no proficiency) to 6 (native/bilingual proficiency).