Table · dataset · 2026
Resolving Chinese company names from US CPSC recall notices to registered legal entities (2024-2026 frame, n=310)
Listed in figshare
<p>When the US Consumer Product Safety Commission publishes a recall, it names the Chinese company it holds to be the manufacturer, importer or distributor.
Description
This dataset asks a narrow question about those names: can each one be resolved, by name alone, to exactly one legal person on the Chinese business register?</p><p><b>Frame.</b> All 1,159 recall records published by the CPSC public REST service for 2024-01-01 to 2026-09-16 were retrieved. 831 of them (71.7%) carry China in the manufacturer-country field, and that share rises across the window: 60.7% of 2024 recalls, 71.7% of 2025, 79.5% of 2026 to date.
From the manufacturer, importer, distributor and retailer fields of those records, 310 distinct Chinese company names were extracted and normalised by removing the trailing "of China", d/b/a aliases and trailing parentheticals. This is a census of the frame; there is no sampling within it.</p><p><b>Result.</b> Each name was submitted once to a licensed Chinese business-information platform from a mainland egress. 143 of 310 names (46.1%) returned at least one candidate; 167 (53.9%) returned none.
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Of the whole frame, 91 names (29.4%) returned exactly one candidate, and 52 (16.8%) returned two or more. Only the first of those outcomes identifies a single legal person from the name alone. Among the 143 names that returned anything, 87.4% were reported by the platform as English-name matches, 93.7% had a top candidate carrying an 18-character Unified Social Credit Code, and 5.6% resolved to a Hong Kong registration, which is a different register and carries no such code.</p><p><b>Relation to earlier work.</b> This repeats, on an independent frame and at roughly three times the size, the return-rate measurement in <i>English-name lookup rates for Chinese manufacturers (NHTSA vPIC frame)</i>, doi:10.6084/m9.figshare.33390454, where 61 of 106 names (57.5%) returned a candidate.
The CPSC frame returns at a lower rate (46.1%). The decomposition into unique versus ambiguous resolution is new here and was not measured in the vPIC study. The two studies are not fully interchangeable: the vPIC study additionally tested whether a returned candidate's own recorded English name equalled the input after normalisation, which requires a second per-company call and was not run on this frame.</p><p><b>What this does not establish.</b> A name that returns nothing is not evidence that the company does not exist, that it is not registered, or that the CPSC notice is wrong; it means this platform returned no candidate for that string on the query date.
Equally, a name that returns one candidate is not proof that the candidate is the company CPSC meant. Chinese English-language names are self-supplied and are not part of the business licence, which records a Chinese name only; two companies may romanise identically. Values are a snapshot taken on 2026-09-16 and registrations change.
The data source is a commercial platform, not a direct query of GSXT, the official government portal. No natural-person names or contact details are included in either file.</p><p><b>Files.</b> cpsc-china-name-lookup-2026-09-16.csv gives one row per name on the frame, with the raw CPSC string, the normalised query, the API return code, the number of candidates, the platform-reported match type, and the top candidate's Chinese name, credit code, province and registration status. cpsc-name-resolution-metrics-2026-09-16.csv gives the aggregate metrics in the same layout as the vPIC study, so the two can be read side by side.</p><p>Method, limits and the landing page: currawongweb.com/research/</p>
Links
Where it is published
- DOI doi.org/10.6084/m9.figshare.33845302.v1 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
Topics
Provenance · 1 source records, 17 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| figshare | oai:figshare.com:article/33845302 | 5 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].anzsrc:field:350706 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['International business'] |
| concepts[field].local:field:astronomy | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:engineering | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:humanities | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:social-science | mapping · figshare com | connector:figshare_com@1.0.0 | |
| description | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/description |
| license | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/rights |
| publication_date | source · figshare com | connector:figshare_com@1.0.0 | |
| title | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/title |