The DOI matches its Crossref record.
Forecasting Global Generation of Obsolete Personal Computers
Abstract
Electronic waste (e-waste) has emerged as a new policy priority around the world. Motivations to address e-waste include rapidly growing waste streams, concern over the environmental fate of heavy metals and other substances in e-waste, and impacts of informal recycling in developing countries. Policy responses to global e-waste focus on banning international trade in end-of-life electronics, the premise being that e-waste is mainly generated in the developed world and then exported to the developing world. Sales of electronics have, however, been growing rapidly in developing nations, raising the question of whether informal recycling in developing countries driven by international trade or domestic generation. This paper addresses this question by forecasting the global generation of obsolete personal computers (PCs) using the logistic model and material flow analysis. Results show that the volume of obsolete PCs generated in developing regions will exceed that of developed regions by 2016-2018. By 2030, the obsolete PCs from developing regions will reach 400-700 million units, far more than from developed regions at 200-300 million units. Future policies to mitigate the impacts of informal recycling should address the domestic situation in developing countries.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Rademaker, J. H., Kleijn, R., & Yang, Y. (2013) · Environmental Science & Technology · doi:10.1021/es305007w · Cited by 344
Self-citationEnvironmental effects of information and communications technologies
Williams, E. (2011) · Nature · doi:10.1038/nature10682 · Cited by 304
Self-citationWillingness of residents to participate in e-waste recycling in India
Dwivedy, M., & Mittal, R. K. (2013) · Environmental Development · doi:10.1016/j.envdev.2013.03.001 · Cited by 164
Kahhat, R., & Williams, E. (2012) · Resources, Conservation and Recycling · doi:10.1016/j.resconrec.2012.07.008 · Cited by 110
Self-citationIs it all going to waste? Illegal transports of e-waste in a European trade hub
Bisschop, L. (2012) · Crime, Law and Social Change · doi:10.1007/s10611-012-9383-0 · Cited by 84
Metadata
- Authors
- Yu, J., Williams, E., Ju, M., & Yang, Y.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-03-22
- Volume
- 44
- Issue
- 9
- Pages
- 3232-3237
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2043824586
- Cited by
- 200
- References
- 0
- Type
- other
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Forecasting Global Generation of Obsolete Personal Computers. https://app.cochat.ai/papers/10.1021/es903350q
- The paper
- Yu, J., Williams, E., Ju, M., & Yang, Y. (2010). Forecasting Global Generation of Obsolete Personal Computers. Environmental Science & Technology. https://doi.org/10.1021/es903350q
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.