We analyze data on differentiated waste collection (as a proxy of pro-environmental behaviors) in Italian provinces in the years 1999–2012. We make use of a Markov Spatial Transition approach to model the dynamic of local transitions among different levels of environmental pro-sociality, and we find that behaviors, and in particular differentiated waste collecting habits, tend to be strongly influenced by proximity effects, so that provinces with good levels of environmental pro-sociality may positively influence nearby ones, and vice versa for provinces with poor levels of environmental pro-sociality. We also show that in the long term separate clusters with markedly different levels of differentiated waste collection rates emerge.

Location matters for pro-environmental behavior: a spatial Markov Chains approach to proximity effects in differentiated waste collection

Crociata A;
2016

Abstract

We analyze data on differentiated waste collection (as a proxy of pro-environmental behaviors) in Italian provinces in the years 1999–2012. We make use of a Markov Spatial Transition approach to model the dynamic of local transitions among different levels of environmental pro-sociality, and we find that behaviors, and in particular differentiated waste collecting habits, tend to be strongly influenced by proximity effects, so that provinces with good levels of environmental pro-sociality may positively influence nearby ones, and vice versa for provinces with poor levels of environmental pro-sociality. We also show that in the long term separate clusters with markedly different levels of differentiated waste collection rates emerge.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12571/7268
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