Domestic flow of e-waste in São Paulo, Brazil: Characterization to support public policies

•The survey yielded meaningful primary data on electronics acquisition/use/disposal.•Fixing damaged items was common, but purchasing second-hand items was not.•More out-of-use electronics were stored in the home than had been disposed of.•Residents of São Paulo showed different patterns from those i...

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Published inWaste management (Elmsford) Vol. 102; pp. 474 - 485
Main Authors Rodrigues, Angela C., Boscov, Maria E.G., Günther, Wanda M.R.
Format Journal Article
LanguageEnglish
Published United States Elsevier Ltd 01.02.2020
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Summary:•The survey yielded meaningful primary data on electronics acquisition/use/disposal.•Fixing damaged items was common, but purchasing second-hand items was not.•More out-of-use electronics were stored in the home than had been disposed of.•Residents of São Paulo showed different patterns from those in the UK or Spain.•These findings can inform e-waste management policies in Brazil. Understanding the domestic flow of e-waste is essential for efficient waste management in urban contexts. However, diagnosis of domestic e-waste flow is complex due to its diffuse generation and dependence on consumer behavior. Here, we characterized domestic e-waste flow in São Paulo, Brazil (a megacity with roughly 11 million inhabitants in 3.5 million households), describing the stages of product acquisition, out-of-use storage, and end-of-life destination, via a population-based cross-sectional study using a statistically representative sample. We conducted household interviews using a structured questionnaire, with questions on characteristics, quantities, and behaviors of acquisition, replacement, storage, repair, and destination for 26 electric and electronic equipment (EEE) categories. Each household had on average 21 EEE (95% confidence interval [CI]: 19.7–21.7), of which 18 were in use and 3 were out-of-use. Out-of-use storage was common, occurring in 72.6% of households. Discarded EEE (i.e., e-waste) was destined for intended reuse (59.5%; 95% CI: 57.4–61.5%), recycling (20.4%; 95% CI: 18.8–22.1%), and, particularly for small EEE, municipal waste (16.0%; 95% CI: 14.5–17.6%). Other aspects of domestic e-waste flow (e.g., place and time of acquisition, second-hand acquisition, donation, intention to repair damaged EEE, and storage) were quantified and related to actions for public policies. This research shows that household surveys are useful for obtaining primary data to verify consumer behavior toward EEE. We expect the findings of this study to support decision-making for public policies related to e-waste management, particularly in countries where reverse logistics systems are in the initial phase of implementation.
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ISSN:0956-053X
1879-2456
DOI:10.1016/j.wasman.2019.10.052