| Literature DB >> 35846594 |
Robert A T Avery1, Fabrizio Butera1.
Abstract
If today the anthropogenic origin of climate change gathers almost total scientific consensus, human pro-environmental action is not changing with sufficient impact to keep global warming within the 1.5° limit. Environmental psychology has traditionally focused on the underlying barriers towards more pro-environmental behaviours. Emotions-like fear or anger-may act as such barriers especially in case of radical change (e.g., degrowth). While minority influence has been extensively applied to understand societal change, it has rarely been applied to understand the emotional responses that may hinder counter-normative pro-environmental messages. However, past literature on emotions shows that, in challenging situations-the likes of radical minority conflict-people will tend to use their emotional reaction to maintain societal status quo. Two studies investigated how participants emotionally react towards a counter-normative pro-environmental minority message (advocating degrowth). A qualitative (thematic analyses) and a quantitative (emotional self-report paradigm) studies showed that participants report emotions that allow them to realign themselves with the cultural backdrop of the social dominant paradigm (growth), thus resisting change. Specifically, although all participants tend to demonstrate higher proportions of control-oriented emotions, men do so more. These effects, as well as questions of cultural and ideological dominance, are discussed considering barriers towards pro-environmentalism.Entities:
Keywords: change; conflict; degrowth; emotions; minority influence; pro-environmental action
Year: 2022 PMID: 35846594 PMCID: PMC9277354 DOI: 10.3389/fpsyg.2022.899933
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Demographic information for participants.
| Demographic characteristic | By age-employment status | ||
|---|---|---|---|
| Student | Employed | Retired | |
| Gender | |||
| Male | 4 | 4 | 2 |
| Female | 4 | 4 | 3 |
| Place of activity (life) | |||
| Urban | 3 | 3 | 0 |
| Rural | 5 | 5 | 5 |
| Highest Education | |||
| No higher education | 4 | 4 | 4 |
| Higher education | 4 | 4 | 1 |
| Interviewed during COVID19 pandemic | |||
| Yes | 2 | 2 | 2 |
| No | 6 | 6 | 3 |
Figure 1Count for each emotion code.
Figure 2Count for each emotion code by gender.
Demographic information for social-media and Prolific sample.
| Demographic characteristics | By sample type | |
|---|---|---|
| Prolific ( | Social-media ( | |
| Gender | ||
| Male | 118 | 68 |
| Female | 96 | 108 |
| Age | ||
| Mean ( | 37.59 (10.91) | 48.73 (11.42) |
| Have children % | ||
| yes | 66.74 | 38.71 |
| Employment status % | ||
| Training | 2.31 | 6.45 |
| Working | 71.76 | 76.88 |
| Both | 7.87 | 6.99 |
| Retired | 12.04 | 3.76 |
| Unemployed | 6.02 | 5.91 |
| Diploma (highest achieved) % | ||
| None | 1.1 | 1.39 |
| Obligatory school | 4.8 | 0.93 |
| Vocational training | 2.2 | 17.13 |
| Higher education | 5.9 | 3.70 |
| Federal maturity | 16 | 16.20 |
| University degree | 70 | 60.65 |
Frequency table of selected emotion’s control orientation for women and men—Raw data.
| Which control-orientation was predominant | Men | Women | Total |
|---|---|---|---|
| High control-oriented emotions | 89 | 75 | 164 |
| 79.00 | 85.00 | 164 | |
| Low control-oriented emotions | 82 | 109 | 191 |
| 92 | 99 | 191 | |
| Total | 171 | 184 | 355 |
For each cell:
Is the observed count.
For each cell:
Is expected.
Figure 3Mean gender difference in proportion of high control-oriented emotions (study 2).