Evidence map›Paper›PMID 41880666›Full record

ArticleEnvironmental science & technology2026

Spatiotemporal Distribution of Household WEEE and Anthropogenic Mineral Reserves in China from 1978 to 2050.

Zongqi Yu, Yifan Gu, Chenyang Shuai, Xi Chen, Ming Xu, Bu Zhao

Abstract read
In one paragraph

Article in Environmental science & technology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Zongqi YuTepper School of Business, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States.
Yifan GuInstitute of Circular Economy, College of Materials Science and Engineering, Beijing University of Technology, Beijing 100124, P.R. China.ORCID 0000-0001-7864-375X
Chenyang ShuaiSchool of Management Science and Real Estate, Chongqing University, Chongqing 400044, P.R. China.
Xi ChenCollege of Economics and Management, Southwest University, Chongqing 400715, P.R. China.
Ming XuSchool of Environment, Tsinghua University, Beijing 100084, P.R. China.
Bu ZhaoDepartment of Environmental and Sustainable Engineering, University at Albany, State University of New York, Albany, New York 12222, United States.ORCID 0000-0001-5310-4020

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China, the world's largest generator of waste electrical and electronic equipment (WEEE), faces growing challenges in managing household WEEE and recovering embedded resources. This study develops a long-term, provincial-level assessment of household WEEE generation and anthropogenic mineral (AM) reserves in China from 1978 to 2050. Using a stock-based material flow analysis, we quantify in-use stocks, WEEE generation, and associated AM for 10 household appliance categories (14 types) across 31 provinces. Annual household WEEE generation exceeded 400 million units in 2023, dominated by cell phones, computers, air conditioners, and washing machines, with eastern and southeastern provinces contributing the largest volumes. Embedded AM reserves in 2023 include about 228 thousand tonnes of copper (9.4% of national recycled copper), 21 tonnes of gold (5.6% of primary production), and 7 tonnes of palladium (50% of primary production), with a theoretical metal value of over 5 billion USD. Yet, existing formal recycling infrastructure captures only ∼30% of this potential, owing to pronounced spatial and category-specific mismatches. Our results identify critical gaps and province-level hotspots, providing a quantitative basis for spatially targeted WEEE management and infrastructure planning to enhance resource recovery in China's transition toward a circular economy.

Indexed as

Electronic WasteMineralsChinaRecyclingMineralsanthropogenic mineralhousehold appliancematerial flow analysisresource recoveryWEEE

Identifiers

PMID41880666
PMCPMC13104169

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.