Bayesian small area models for investigating spatial heterogeneity and factors affecting the amount of solid waste in Italy

This study aims at investigating factors that impact solid waste generation rates at the Italian province-level scale. An approach based on Bayesian small area models is used to evaluate potential spatial dependencies and local variations on the distribution of waste generation rates and its determinants. An extension of the basic Fay-Herriot model to include spatial correlation among neighboring areas is considered (SFH). Preliminary results suggest a highest per capita production of differentiated (or recyclable) waste fraction in wealthier Italian provinces highlighting the intrinsic correlation between areas characterized by similar socio-economic scenarios.