In this paper, we analyse the socio-economic determinants of wildfire crime in Italy using panel data at regional level.
Using fixed effect Poisson models and fixed effect quantile panel regression analysis it is found that social vulnerability factors such
as poverty, organised crime and income inequality play an important role in driving wildfire crime.
The quantile regression analysis highlights a significant heterogeneity of the effects of driving factors across the Italian peninsula.
Finally, we also extend our analysis to investigate the effect of economic downturns on wildfire crime and we find a positive correlation between a deterioration of per capita income and wildfire crime.