Fear of climate change consequences and predictors of intentions to alter meat consumption |
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Affiliation: | 1. Lancaster University, Department of Psychology, Fylde College, Bailrigg, Lancaster, LA1 4YF, UK;2. University of Pennsylvania, Department of Psychology, Solomon Labs, 3720 Walnut St., Philadelphia, PA 19104, USA;3. University of Edinburgh, School of Psychology, Philosophy, and Language Sciences, 7 George Square, Edinburgh, EH8 9JZ, UK;4. University of Melbourne, School of Psychological Sciences Swanston St., Melbourne, 3010, Australia |
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Abstract: | Reducing or altering meat consumption has the potential to significantly lower the impact humans have on climate change. Consumers, however, are unlikely to break their food habits unless they are aware of the problem and motivated by the solutions. Fear appeals are often used to overcome this, however, their effectiveness in the context of meat reduction and climate change is unclear. Given the widespread use of fear appeals in information policy, it is important to understand more. The aim of this study was to explore fear—or more specifically—the danger control process in a climate change—food context in order to understand the factors which motivate consumers to reduce or alter their meat consumption. Using a stratified random sample of 222 respondents in Southern Sweden, we develop a model for predicting intentions to adopt specific and general actions to reduce or alter meat consumption. Our results suggest that the general key to motivating consumers is through increasing their self-efficacy towards adopting meat alternatives and educating them on the importance their actions have in reducing the threat. We also found that appraising the threat to self (or those close) was significant, but surprisingly the effect size was greater when the threat concerned others (e.g. others in impoverished nations, animals). |
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Keywords: | Climate mitigation behavior Protection motivation theory Climate change Food consumption behavior Fear appeals Sustainable consumption |
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