Regional and supply-chain research

Automotive and transport equipment / Complete systems and use-case applications Supply-chain Study

Automotive and transport equipment / Complete systems and use-case applications Supply-chain Study. A dated 712-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 103 records (14.5% of this 712-record cohort). The remaining cohort contains 609 records. The comparison concerns archive composition.

The recorded sub-industry label Aerospace accounts for 20.9% here (149/712), compared with 12.9% in the parent set (181/1,408), an absolute gap of 8.1 percentage points.

236/712 companies link to pages with existing source-supported excerpts (33.1% of the cohort). The other 476 records remain usable for archive composition, but do not support new operating case studies.

Company cohortDirectly linked pagesShare of public archiveArchive date
7127123.7%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 712 (50.6%); 696 records remain after excluding it.

The parent set, All public archive records, contains 19,297 records. This cohort contributes 712 (3.7%); 18,585 records remain after excluding it.

CategoryCohort count/baseReference: Automotive and transport equipmentGap (pp)Representation ratioRest count/base
sub-industry · Aerospace149/712 · 20.9%181/1,408 · 12.9%+8.11.6332/696
industry · Advanced equipment383/712 · 53.8%669/1,408 · 47.5%+6.31.13286/696
sub-industry · Conventional powertrains14/712 · 2.0%95/1,408 · 6.7%-4.80.2981/696
industry · New-energy vehicles212/712 · 29.8%475/1,408 · 33.7%-4.00.88263/696
reporting jurisdiction · Shanghai28/712 · 3.9%89/1,408 · 6.3%-2.40.6261/696
industry · Next-generation information technology25/712 · 3.5%80/1,408 · 5.7%-2.20.6255/696
reporting jurisdiction · Zhejiang54/712 · 7.6%137/1,408 · 9.7%-2.10.7883/696
reporting jurisdiction · Beijing67/712 · 9.4%104/1,408 · 7.4%+2.01.2737/696
industry · Producer services70/712 · 9.8%112/1,408 · 8.0%+1.91.2442/696
sub-industry · Chassis and braking systems7/712 · 1.0%40/1,408 · 2.8%-1.90.3533/696

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

Excluding this cohort, the recorded sub-industry label Aerospace covers 32/696 remaining records (4.6%), an absolute gap of 16.3 percentage points from this cohort.

Concentration and cross-sectional structure

The full reporting jurisdiction distribution has 32 labels; the top 3 contain 224/712 records (31.5%).Other known labels contain 488 records.

For 712 records with known labels, the effective category count is 16.4, versus 32 actual labels. Definitions and scope are in the methodology.

The table shows ten labels; 22 others are included in the calculations above.

Recorded labelRecordsShare of cohort
Jiangsu10314.5%
Beijing679.4%
Zhejiang547.6%
Shandong486.7%
Hubei456.3%
Sichuan344.8%
Guangdong304.2%
Chongqing294.1%
Shanghai283.9%
Anhui273.8%

Record counts do not rank supply capability or economic size.

The largest intersection, Jiangsu × Advanced equipment, contains 58 records, or 56.3% of the 103 records carrying the Jiangsu label.

reporting jurisdictionindustryIntersection recordsCohort share
JiangsuAdvanced equipment588.1%
BeijingAdvanced equipment446.2%
JiangsuNew-energy vehicles294.1%
ZhejiangNew-energy vehicles273.8%
SichuanAdvanced equipment253.5%
ZhejiangAdvanced equipment212.9%
HubeiAdvanced equipment212.9%
ShaanxiAdvanced equipment202.8%

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 105 non-empty cells; the other 97 remain in the analysis.

Evidence coverage and strength of conclusions

Record fieldNon-empty/cohortCompletion
Company name712/712100.0%
reporting jurisdiction712/712100.0%
industry712/712100.0%
Recorded products712/712100.0%
sub-industry712/712100.0%
Chain labels712/712100.0%

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

Scope of source supportCount
Profiles with source-supported excerpts236
Distinct corresponding companies236
Reviewed Chinese/English paragraph pairs247

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

Transparent rule reminderRecordsCohort share
Contains registration-narrative wording334.6%
Only generic operations vocabulary remains162.2%

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

142 of this cohort’s 712 records link through existing company-ID mappings to 2026 lists from all jurisdictions (19.9%). 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 IDs1425137142

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 Advanced equipment / Automotive and transport equipment / Complete systems and use-case applications Supply-chain Study: 383; records in this cohort but outside that set: 329. The intersection/union ratio is 53.8%, a measure of label overlap rather than business collaboration. Read comparison

Shared records with Automotive structural parts and components / Automotive and transport equipment / Complete systems and use-case applications Sub-industry and Supply-chain Study: 203; records in this cohort but outside that set: 509. The intersection/union ratio is 28.5%, 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