The slow-release effect of recycling on rapid demand growth of critical metals from EV batteries up to 2050: Evidence from China
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
While materials from battery recycling are expected to reduce environmental damage, raw material extraction will need to provide the lion's share of battery materials in the foreseeable future.
“While materials from battery recycling are expected to reduce environmental damage, raw material extraction will need to provide the lion’s share of battery materials in the foreseeable future41–47.”
From Carbon footprint distributions of lithium-ion batteries and their materials (2024) · cites this paper as [43]
The citation lists haven’t been fetched yet
References 64 · Cited by 33
- Authors
- Huang, J., Dong, X., Chen, J., & Zeng, A.
- Affiliations
- Central South University (CN)
- Corresponding author
- Zeng, Anqi
- Venue
- Resources Policy
- Publisher
- Elsevier BV
- Published
- 2023-05
- Volume
- 82
- Pages
- 103504
- ISSN
- 0301-4207 (ISSN-L)
- OpenAlex
- W4362470879
- Cited by
- 33
- References
- 64
- Citations by year
- 2026: 6 · 2025: 16 · 2024: 9 · 2023: 2
- FWCI
- 3.15
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Resources Policy (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Engineering › Mechanical Engineering › Extraction and Separation Processes
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Physical Sciences › Environmental Science › Environmental Engineering › Environmental Impact and Sustainability
- Keywords
- critical metals, electric vehicle batteries, lithium-ion batteries, battery recycling, low-carbon transition, resource supply security, China
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.
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