Back to Search
Start Over
E-waste collection in Italy: Results from an exploratory analysis
- Source :
- Waste Management. 67:222-231
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- This study looks at the performance of household electrical and electronic waste (WEEE) collection in 20 Italian regions from 2008 to 2015. The impact of several explicative variables on the results of e-waste collection is evaluated. The independent variables are socio-economic and demographic ones (age, gender, household size, education level, migration and income) along with technical-organisational variables (population density, presence of metropoles, macro regions, characteristics of the territory, percentage of household waste collected separately and number of e-waste collection points). The results show that the presence of collection points, the percentage of household waste collected separately and the percentage of females are positively correlated with the kg collected per inhabitant per year. For example, a variation of 1% of input (presence of collection points) corresponds to a 0.25% variation in the output (collection results) while 1% difference in the percentage of females in the population corresponds to a 7.549% difference in the collection rate. Population density, instead, is negatively correlated. It is interesting to note that there is a discrepancy between the Southern regions and the Centre regions (the former have an outcome 0.66 times lower than the latter) while the Northern regions perform similarly to the Centre ones. Moreover, the first year (2008) had a very low performance compared to the following years when the scheme constantly improved, mainly due to the additional collection points available. The Stochastic Frontier Model allows for the identification of the optimal production function among the 20 Italian regions. The best performing region is Tuscany (in the Centre), followed by Sardinia and Sicily (in the South).
- Subjects :
- Adult
Male
Circular economy
Collection performance
E-waste
Panel data
Stochastic frontier model
Waste collection
Female
Humans
Italy
Middle Aged
Sicily
Social Class
Surveys and Questionnaires
Electronic Waste
Recycling
Refuse Disposal
020209 energy
media_common.quotation_subject
Population
02 engineering and technology
010501 environmental sciences
01 natural sciences
Population density
Statistics
0202 electrical engineering, electronic engineering, information engineering
education
Waste Management and Disposal
0105 earth and related environmental sciences
media_common
Household waste
education.field_of_study
Variables
Exploratory analysis
Geography
Subjects
Details
- ISSN :
- 0956053X
- Volume :
- 67
- Database :
- OpenAIRE
- Journal :
- Waste Management
- Accession number :
- edsair.doi.dedup.....e124632cd502cc05839bb7c3627d76f7
- Full Text :
- https://doi.org/10.1016/j.wasman.2017.05.026