Regional and supply-chain research

Automotive and transport equipment / Process equipment and inspection instruments Supply-chain Study

Automotive and transport equipment / Process equipment and inspection instruments Supply-chain Study. A dated 122-record cohort study compares composition, parent sets and evidence coverage. Comparative structure study; archive date 2026-10-16.

Revision and archive snapshot: 2026-10-16

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Research findings

Comparative structure study

The largest recorded reporting jurisdiction, Jiangsu, contains 22 records (18.0% of this 122-record cohort). The remaining cohort contains 100 records. The comparison concerns archive composition.

The recorded industry label New-energy vehicles accounts for 19.7% here (24/122), compared with 33.7% in the parent set (475/1,408), an absolute gap of 14.1 percentage points.

40/122 companies link to pages with existing source-supported excerpts (32.8% of the cohort). The other 82 records remain usable for archive composition, but do not support new operating case studies.

Company cohortDirectly linked pagesShare of public archiveArchive date
1221220.6%2026-10-16

An ID-deduplicated archive snapshot, not the whole market, current recognition or operating results.

Comparable sets and compositional differences

The parent set, Automotive and transport equipment, contains 1,408 records. This cohort contributes 122 (8.7%); 1,286 records remain after excluding it.

The parent set, All public archive records, contains 19,297 records. This cohort contributes 122 (0.6%); 19,175 records remain after excluding it.

CategoryCohort count/baseReference: Automotive and transport equipmentGap (pp)Representation ratioRest count/base
industry · New-energy vehicles24/122 · 19.7%475/1,408 · 33.7%-14.10.58451/1,286
sub-industry · Automotive structural parts and components18/122 · 14.8%387/1,408 · 27.5%-12.70.54369/1,286
reporting jurisdiction · Zhejiang6/122 · 4.9%137/1,408 · 9.7%-4.80.51131/1,286
reporting jurisdiction · Liaoning7/122 · 5.7%28/1,408 · 2.0%+3.72.8921/1,286
reporting jurisdiction · Jiangsu22/122 · 18.0%211/1,408 · 15.0%+3.01.20189/1,286
sub-industry · Rail-transport equipment9/122 · 7.4%67/1,408 · 4.8%+2.61.5558/1,286
industry · Advanced equipment61/122 · 50.0%669/1,408 · 47.5%+2.51.05608/1,286
reporting jurisdiction · Hebei6/122 · 4.9%37/1,408 · 2.6%+2.31.8731/1,286
industry · Producer services12/122 · 9.8%112/1,408 · 8.0%+1.91.24100/1,286
industry · Next-generation information technology5/122 · 4.1%80/1,408 · 5.7%-1.60.7275/1,286

Ratio of label participation, not market share; multi-label counts overlap.

Excluding this cohort, the recorded industry label New-energy vehicles covers 451/1,286 remaining records (35.1%), an absolute gap of 15.4 percentage points from this cohort.

Concentration and cross-sectional structure

The full reporting jurisdiction distribution has 27 labels; the top 3 contain 42/122 records (34.4%).Other known labels contain 80 records.

For 122 records with known labels, the effective category count is 13.6, versus 27 actual labels. Definitions and scope are in the methodology.

The table shows ten labels; 17 others are included in the calculations above.

Recorded labelRecordsShare of cohort
Jiangsu2218.0%
Beijing119.0%
Hubei97.4%
Shanghai86.6%
Anhui86.6%
Shenzhen75.7%
Liaoning75.7%
Hebei64.9%
Zhejiang64.9%
Sichuan54.1%

Record counts do not rank supply capability or economic size.

The largest intersection, Jiangsu × Advanced equipment, contains 14 records, or 63.6% of the 22 records carrying the Jiangsu label.

reporting jurisdictionindustryIntersection recordsCohort share
JiangsuAdvanced equipment1411.5%
BeijingAdvanced equipment64.9%
HubeiAdvanced equipment54.1%
ShaanxiAdvanced equipment54.1%
JiangsuBiomedicine43.3%
ZhejiangAdvanced equipment43.3%
ShenzhenNew-energy vehicles43.3%
LiaoningAdvanced equipment43.3%

A cell contains company IDs carrying both labels. It does not establish procurement, supply or investment relationships between firms. Multi-label cells may overlap.

This page displays 8 of the full cross-tab’s 59 non-empty cells; the other 51 remain in the analysis.

Evidence coverage and strength of conclusions

Record fieldNon-empty/cohortCompletion
Company name122/122100.0%
reporting jurisdiction122/122100.0%
industry122/122100.0%
Recorded products122/122100.0%
sub-industry122/122100.0%
Chain labels122/122100.0%

Non-empty fields are not necessarily accurate or supported by originals.

Scope of source supportCount
Profiles with source-supported excerpts40
Distinct corresponding companies40
Reviewed Chinese/English paragraph pairs41

Counts concern existing reviewed bilingual excerpts, not re-certification of originals or entire reports.

Transparent rule reminderRecordsCohort share
Contains registration-narrative wording32.5%

A rule hit prioritises review; it does not establish that the entire field is wrong. One record can trigger several rules.

Intersection with 2026 local lists

33 of this cohort’s 122 records link through existing company-ID mappings to 2026 lists from all jurisdictions (27.0%). This intersection measures list linkage, not successful recognition or company growth.

Observation setList recordsNew-applicant recordsReview recordsMapped company IDs
National list records linked to this cohort’s IDs3323133

List rows and company IDs are separate counts, not new firms or final recognition.

Stored 2026 local-recommendation records, sources and stage definitions

Recorded roles and delivery checks

Delivery framework, stages and original sources

Related studies and shared records

Shared records with Rail Transit Components Braking Doors Keyword Candidate Study: 24; records in this cohort but outside that set: 98. The intersection/union ratio is 6.2%, a measure of label overlap rather than business collaboration. Read comparison

Shared records with Rail Transit Equipment Keyword Candidate Study: 22; records in this cohort but outside that set: 100. The intersection/union ratio is 6.1%, a measure of label overlap rather than business collaboration. Read comparison

Company samples and record links

Stable-ID samples, not rankings; metrics use the full cohort.

Directly related profiles and reports

Methodology

Read ID deduplication, comparison, batch and evidence definitions