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2009
DOI: 10.1007/s00170-009-2356-5
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An analysis of E-waste flows in China

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Cited by 54 publications
(27 citation statements)
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“…E-waste in the fastest growing waste stream in EU, predicted to grow to 12 million tonnes by 2020 (Computer Aid International, 2010). It is estimated that in China 83 million units of electronic and electrical equipment (EEE) were scrapped in 2007 reaching to 227 million by 2012 with an average annual growth of 19.9% (Veenstra et al, 2010). In Japan it is estimated thataround 12.9 million units of EEE were collected at the specified collection points in 2008 (Ministry of Environment, Japan, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…E-waste in the fastest growing waste stream in EU, predicted to grow to 12 million tonnes by 2020 (Computer Aid International, 2010). It is estimated that in China 83 million units of electronic and electrical equipment (EEE) were scrapped in 2007 reaching to 227 million by 2012 with an average annual growth of 19.9% (Veenstra et al, 2010). In Japan it is estimated thataround 12.9 million units of EEE were collected at the specified collection points in 2008 (Ministry of Environment, Japan, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…EPR is also a main facet to most global WEEE legislation in the EU, U.K., U.S., Canada, Australia, and Japan. Connected to take-back effectiveness are studies on consumer behaviour and use of household electronics and their and willingness to recycle (Wang et al, 2011a, b;Veenstra et al, 2010;Zhang et al, 2013). There are also some case studies that look at e-waste collection channels in Dalian (Qu et al, 2013) exploring a "green communities" model and in Taizhou (Chi et al, 2014) looking at household disposal strategies.…”
Section: Impacts Of Informal E-waste Recyclingmentioning
confidence: 97%
“…Also, it offers the advantage of statistically examining multiple transitions simultaneously. In doing so, we take recourse to one such study which attempts to map the e-waste flow for the case of China (Veenstra et al, 2010). Much of their work analyzes the perturbations of the matrix of transition probabilities to simulate the WEEE flow patterns in China.…”
Section: Weee Flow Modeling Backgroundmentioning
confidence: 99%