Does carbon inequality affect support for climate policies? Previous research suggests that awareness of carbon inequality across income groups increases policy support, but relies on stylised treatments far from real-world conditions. We conducted a pre-registered experiment in France to assess the effect of real newspaper headlines about emissions from private jets on support for climate policies and willingness to donate to a climate organisation. We find that the treatment polarises respondents, with diverging responses between anti-elite and mainstream voters. Information about carbon inequality increases support for elite-targeting policies among mainstream voters, such as private-jet bans, while reducing support among anti-elite voters. It also increases mainstream voters’ support for a progressive policy that would constrain short-haul flights for everyone. Our results offer evidence of a polarising effect of carbon inequality information among politically divided publics.
We investigate why farmers actively avoid climate change information and how it affects the effectiveness of information campaigns. We administered a preregistered experiment on a sample of European farmers and foresters from Italy, Belgium, Lithuania, and Finland. We collected two samples: one where respondents could skip climate change information and another composed of a control group and a treatment group where respondents are shown climate change information. Around 34% of farmers and forest owners actively avoid the information in the first sample. Distrust in scientists and low pro-environmental attitudes correlate positively with information avoidance. The information nudge increases respondents' willingness to implement environmentally sustainable practices in the second sample. Using machine learning, we find that those with a similar profile to the information seekers of the first sample drive the effect of the nudge. Our results suggest that the null effects of information nudges found in the literature might be explained by information avoidance, creating hidden heterogeneity.
Why do people avoid climate change information, and how does it affect the effectiveness of information campaigns? We use economic theory to explain why some people voluntarily ignore such information. Then, focusing on the impact of meat-based diets on the environment, we design an experiment to identify the different "types" predicted by the model. Finally, we use predictive machine learning algorithms to identify these types in another experimental sample to understand how these different profiles react to an information nudge.