Socioeconomic status, time preferences and pro-environmentalism

Grandin, Aurore; Guillou, Léonard; Sater, Rita Abdel; Foucault, Martial; Chevallier, Coralie

doi:10.1016/j.jenvp.2021.101720

Cited by 27 publications

(15 citation statements)

References 99 publications

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“…Here, it is worth noting that socio-economic context influences human perceptions, not only in terms of economic disadvantage but also when it comes to privilege ( Grandin et al, 2022 ). Looking at the socio-economic status at the country level, both Norway and Ireland are among the most affluent countries in the world.…”

Section: Discussionmentioning

confidence: 99%

Emotional responses to climate change in Norway and Ireland: a validation of the Inventory of Climate Emotions (ICE) in two European countries and an inspection of its nomological span

Marczak,

Wierzba,

Kossowski

et al. 2024

Front. Psychol.

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There is an increasing research interest in emotional responses to climate change and their role in climate action and psycho-social impacts of climate change. At the same time, emotional experience of climate change is multidimensional and influenced by a variety of factors, including the local cultural context. Here, we contribute to the scientific debate about this topic with original quality-controlled data from the general populations in Norway (N = 491) and Ireland (N = 485). We investigate the cross-cultural validity and the nomological span of eight distinct emotional responses to climate change - climate anger, climate contempt, climate enthusiasm, climate powerlessness, climate guilt, climate isolation, climate anxiety, and climate sorrow - measured using the recently introduced Inventory of Climate Emotions. We first validate the 8-factor structure of the Norwegian and English language versions of the ICE. Subsequently, we demonstrate a high degree of cross-cultural measurement invariance for these eight climate emotions. Finally, we explore the relationships between these emotional responses and a range of theoretically relevant variables. In this final step, we show that climate emotions are differentially linked to climate change perceptions, support for mitigation policies, socio-demographic factors, feelings of loneliness and alienation, environmental activism, and the willingness to prioritize the natural environment over one’s immediate self-interests. Some of these links are also differentiated by the cultural context. This research presents further evidence for the structural, cross-cultural, and concurrent validity of climate emotions as postulated in the ICE framework. Moreover, it provides tools in the form of validated Norwegian and English language versions of the ICE, the complete R code for the validation analysis, as well as an informed basis for cross-cultural research on emotional responses to climate change.

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Section: Discussionmentioning

confidence: 99%

Emotional responses to climate change in Norway and Ireland: a validation of the Inventory of Climate Emotions (ICE) in two European countries and an inspection of its nomological span

Marczak,

Wierzba,

Kossowski

et al. 2024

Front. Psychol.

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“…In addition, it is possible that finance professionals have a stronger preference for minimal interference in market functioning, leading them to oppose interventions into the system more strongly (Chater and Loewenstein, 2022). The political orientation of finance professionals, which is on average center-right, may explain such behavior (Ehret et al, 2017;Ballew et al, 2020;Grandin et al, 2022)(continuous scale from −1 to +1, climate experts mean: −0.320, finance professionals mean 0.066, p < 0.0001, two-sided t-test). Generally, supporters of those parties prefer a smaller role for the state and are less supportive of interventions than supporters of other political ideologies.…”

Section: Discussionmentioning

confidence: 99%

Climate Crisis Attitudes among Financial Professionals and Climate Experts

Kirchler

König-Kersting²,

Gsottbauer³

2023

Preprint

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To address this climate crisis, it is necessary to transform the economy with the finance industry taking a central role by implementing sustainable investment policies. We use an incentivized experiment to measure the willingness to forgo payout to curb greenhouse gas emissions and a survey to elicit attitudes and beliefs toward the climate crisis among finance professionals---key protagonists on financial markets---and climate experts---key protagonists providing scientific findings. We provide suggestive evidence that finance professionals have a lower willingness to curb greenhouse gas emissions, are less concerned about climate change, and are less supportive of carbon taxes compared to climate experts. We also show differences in motivations and priorities with finance professionals emphasizing economic and reputational considerations and climate experts prioritizing ecological and social consequences of the crisis. Our findings highlight the importance of financial incentives and reputational concerns in motivating finance professionals to address the climate crisis.

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“…For example, the same objective cost of the active behavior (e.g. buying or maintaing an electric car) may be perceived very differently depending on the individual’s wealth [ 48 , 49 ]. Likewise, individuals of different social status may vary in their experience of social pressure from individuals expressing the active vs. baseline behavior; this in the model would manifest through inter-individual variation of δ A and δ B [ 27 ].…”

Section: Discussionmentioning

confidence: 99%

Human-environment feedback and the consistency of proenvironmental behavior

Ecotière,

Billiard,

André

et al. 2023

PLoS Comput Biol

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Addressing global environmental crises such as anthropogenic climate change requires the consistent adoption of proenvironmental behavior by a large part of a population. Here, we develop a mathematical model of a simple behavior-environment feedback loop to ask how the individual assessment of the environmental state combines with social interactions to influence the consistent adoption of proenvironmental behavior, and how this feeds back to the perceived environmental state. In this stochastic individual-based model, individuals can switch between two behaviors, ‘active’ (or actively proenvironmental) and ‘baseline’, differing in their perceived cost (higher for the active behavior) and environmental impact (lower for the active behavior). We show that the deterministic dynamics and the stochastic fluctuations of the system can be approximated by ordinary differential equations and a Ornstein-Uhlenbeck type process. By definition, the proenvironmental behavior is adopted consistently when, at population stationary state, its frequency is high and random fluctuations in frequency are small. We find that the combination of social and environmental feedbacks can promote the spread of costly proenvironmental behavior when neither, operating in isolation, would. To be adopted consistently, strong social pressure for proenvironmental action is necessary but not sufficient—social interactions must occur on a faster timescale compared to individual assessment, and the difference in environmental impact must be small. This simple model suggests a scenario to achieve large reductions in environmental impact, which involves incrementally more active and potentially more costly behavior being consistently adopted under increasing social pressure for proenvironmentalism.

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Socioeconomic status, time preferences and pro-environmentalism

Cited by 27 publications

References 99 publications

Emotional responses to climate change in Norway and Ireland: a validation of the Inventory of Climate Emotions (ICE) in two European countries and an inspection of its nomological span

Emotional responses to climate change in Norway and Ireland: a validation of the Inventory of Climate Emotions (ICE) in two European countries and an inspection of its nomological span

Climate Crisis Attitudes among Financial Professionals and Climate Experts

Human-environment feedback and the consistency of proenvironmental behavior

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