By using a large cross-sectional dataset that observes municipalities from one of the most populated and wealthiest regions in Europe (Lombardy, Italy), this paper investigates how municipal waste re-cycling is correlated with a wide set of municipallevel variables. Results show that municipal waste recycling is linked to geographical, demographic, socio-economic and political variables. They also reveal that these tendencies vary according to municipalities’ population size. This empirical analysis helps in identifying those municipalities that have higher probability of being virtuous in terms of waste recycling
Using data sets from Italian provinces that include rich northern and poorer southern regions, this ...
Using data sets from Italian provinces that include rich northern and poorer southern regions, this ...
Using data sets from Italian provinces that include rich northern and poorer southern regions, this ...
By using a large cross-sectional dataset that observes municipalities from one of the most populated...
By using a large cross-sectional dataset that observes municipalities from one of the most populated...
none3noBy using a large cross-sectional dataset that observes municipalities from one of the most po...
This article exploit a data base of 1.522 observations related to Lombardy’s municipalities to run a...
This chapter provides empirical evidence on the relationship between economic drivers (income and so...
This article exploit a data base of 1.522 observations related to Lombardy’s municipalities to run a...
Background The Eurostat data from 1995 to 2003, seem to relate an increase of richness, due to indus...
none2noWorking Paper No. 2015.014This article exploit a data base of 1.522 observations related to L...
This paper investigates the waste management performance of Italian provinces in the period 2004-201...
Recycling and the recovery of waste are crucial waste management strategies. In light of the new Eur...
Recycling and the recovery of waste are crucial waste management strategies. In light of the new Eur...
Recycling and the recovery of waste are crucial waste management strategies. In light of the new Eur...
Using data sets from Italian provinces that include rich northern and poorer southern regions, this ...
Using data sets from Italian provinces that include rich northern and poorer southern regions, this ...
Using data sets from Italian provinces that include rich northern and poorer southern regions, this ...
By using a large cross-sectional dataset that observes municipalities from one of the most populated...
By using a large cross-sectional dataset that observes municipalities from one of the most populated...
none3noBy using a large cross-sectional dataset that observes municipalities from one of the most po...
This article exploit a data base of 1.522 observations related to Lombardy’s municipalities to run a...
This chapter provides empirical evidence on the relationship between economic drivers (income and so...
This article exploit a data base of 1.522 observations related to Lombardy’s municipalities to run a...
Background The Eurostat data from 1995 to 2003, seem to relate an increase of richness, due to indus...
none2noWorking Paper No. 2015.014This article exploit a data base of 1.522 observations related to L...
This paper investigates the waste management performance of Italian provinces in the period 2004-201...
Recycling and the recovery of waste are crucial waste management strategies. In light of the new Eur...
Recycling and the recovery of waste are crucial waste management strategies. In light of the new Eur...
Recycling and the recovery of waste are crucial waste management strategies. In light of the new Eur...
Using data sets from Italian provinces that include rich northern and poorer southern regions, this ...
Using data sets from Italian provinces that include rich northern and poorer southern regions, this ...
Using data sets from Italian provinces that include rich northern and poorer southern regions, this ...