This study investigates the drivers of climate change opinion, with a particular focus on extreme weather events. To conduct this study, I use a worldwide data set from a recent Meta survey conducted on Facebook, combined with information on extreme weather events from the EM-DAT database.
The findings underscore the significant effect of exposure to extreme weather events—measured by the recurrence of such events over a decade—on individual climate change awareness and risk perception.
Here is the working paper pdf.
This paper explores the impact of social and moral norms on individuals’ decisions to engage in illegal fishing activities. We develop a discrete choice model to empirically investigate the effect of these drivers on illegal fishing behaviour.
Observable indicators, particularly fishermen’s perceptions of peer attitudes toward fishing bans, effectively capture the social norm. Furthermore, the fishing social norm significantly influences both fishermen's satisfaction and their decision to participate in illegal activities.
This paper examines the orientation of environmental preferences when individuals are given the possibility to choose the quality of the product they consume. I define individuals according to their intensity of preference for environmental quality, and a firm that integrates the voted quality and sets the optimal price accordingly for its profit.
In this paper, we exploit the Afrobarometer survey, to analyse risk perception about climate change and policies preferences in Africa, based on people's perception of weather events (droughts and floods). More precisely, we look at the extent to which people think climate change is affecting their lives, and their preferences on the policies orientation of their country, if it were to be chosen between creating jobs or protecting the environment. These results are compared to an estimatio with weather events from the EM-DAT database.