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Research findings
Comparative structure study
The largest recorded reporting jurisdiction, Jiangsu, contains 84 records (13.1% of this 643-record cohort). The remaining cohort contains 559 records. The comparison concerns archive composition.
The recorded reporting jurisdiction label Shenzhen accounts for 4.8% here (31/643), compared with 7.9% in the parent set (108/1,373), an absolute gap of 3.0 percentage points.
250/643 companies link to pages with existing source-supported excerpts (38.9% of the cohort). The other 393 records remain usable for archive composition, but do not support new operating case studies.
| Company cohort | Directly linked pages | Share of public archive | Archive date |
|---|---|---|---|
| 643 | 643 | 3.3% | 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, Biomedicine and medical devices / Complete systems and use-case applications, contains 1,373 records. This cohort contributes 643 (46.8%); 730 records remain after excluding it.
The parent set, Biomedicine, contains 699 records. This cohort contributes 643 (92.0%); 56 records remain after excluding it.
| Category | Cohort count/base | Reference: Biomedicine and medical devices / Complete systems and use-case applications | Gap (pp) | Representation ratio | Rest count/base |
|---|---|---|---|---|---|
| reporting jurisdiction · Shenzhen | 31/643 · 4.8% | 108/1,373 · 7.9% | -3.0 | 0.61 | 77/730 |
| reporting jurisdiction · Shandong | 54/643 · 8.4% | 86/1,373 · 6.3% | +2.1 | 1.34 | 32/730 |
| reporting jurisdiction · Beijing | 62/643 · 9.6% | 159/1,373 · 11.6% | -1.9 | 0.83 | 97/730 |
| industry · Advanced materials | 25/643 · 3.9% | 31/1,373 · 2.3% | +1.6 | 1.72 | 6/730 |
| industry · Biomedicine | 614/643 · 95.5% | 1,292/1,373 · 94.1% | +1.4 | 1.01 | 678/730 |
| reporting jurisdiction · Hubei | 43/643 · 6.7% | 73/1,373 · 5.3% | +1.4 | 1.26 | 30/730 |
Ratio of label participation, not market share; multi-label counts overlap.
Excluding this cohort, the recorded reporting jurisdiction label Shenzhen covers 77/730 remaining records (10.5%), an absolute gap of 5.7 percentage points from this cohort.
Concentration and cross-sectional structure
The full reporting jurisdiction distribution has 34 labels; the top 3 contain 200/643 records (31.1%).Other known labels contain 443 records.
For 643 records with known labels, the effective category count is 15.9, versus 34 actual labels. Definitions and scope are in the methodology.
The table shows ten labels; 24 others are included in the calculations above.
| Recorded label | Records | Share of cohort |
|---|---|---|
| Jiangsu | 84 | 13.1% |
| Beijing | 62 | 9.6% |
| Shandong | 54 | 8.4% |
| Zhejiang | 53 | 8.2% |
| Guangdong | 47 | 7.3% |
| Hubei | 43 | 6.7% |
| Shanghai | 33 | 5.1% |
| Shenzhen | 31 | 4.8% |
| Henan | 22 | 3.4% |
| Hunan | 22 | 3.4% |
Record counts do not rank supply capability or economic size.
The largest intersection, Jiangsu × Biomedicine, contains 79 records, or 94.0% of the 84 records carrying the Jiangsu label.
| reporting jurisdiction | industry | Intersection records | Cohort share |
|---|---|---|---|
| Jiangsu | Biomedicine | 79 | 12.3% |
| Beijing | Biomedicine | 62 | 9.6% |
| Zhejiang | Biomedicine | 50 | 7.8% |
| Shandong | Biomedicine | 49 | 7.6% |
| Guangdong | Biomedicine | 45 | 7.0% |
| Hubei | Biomedicine | 42 | 6.5% |
| Shanghai | Biomedicine | 33 | 5.1% |
| Shenzhen | Biomedicine | 30 | 4.7% |
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 51 non-empty cells; the other 43 remain in the analysis.
Evidence coverage and strength of conclusions
| Record field | Non-empty/cohort | Completion |
|---|---|---|
| Company name | 643/643 | 100.0% |
| reporting jurisdiction | 643/643 | 100.0% |
| industry | 643/643 | 100.0% |
| Recorded products | 643/643 | 100.0% |
| sub-industry | 643/643 | 100.0% |
| Chain labels | 643/643 | 100.0% |
Non-empty fields are not necessarily accurate or supported by originals.
| Scope of source support | Count |
|---|---|
| Profiles with source-supported excerpts | 250 |
| Distinct corresponding companies | 250 |
| Reviewed Chinese/English paragraph pairs | 257 |
Counts concern existing reviewed bilingual excerpts, not re-certification of originals or entire reports.
| Transparent rule reminder | Records | Cohort share |
|---|---|---|
| Only generic operations vocabulary remains | 1 | 0.2% |
| Non-empty text shorter than five characters | 1 | 0.2% |
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
125 of this cohort’s 643 records link through existing company-ID mappings to 2026 lists from all jurisdictions (19.4%). This intersection measures list linkage, not successful recognition or company growth.
| Observation set | List records | New-applicant records | Review records | Mapped company IDs |
|---|---|---|---|---|
| National list records linked to this cohort’s IDs | 125 | 10 | 115 | 125 |
List rows and company IDs are separate counts, not new firms or final recognition.
Stored 2026 local-recommendation records, sources and stage definitionsRecorded roles and delivery checks
Related studies and shared records
Shared records with Biomedicine and medical devices / Complete systems and use-case applications Supply-chain Study: 643; records in this cohort but outside that set: 0. The intersection/union ratio is 46.8%, a measure of label overlap rather than business collaboration. Read comparison
Shared records with Biomedicine / Biomedicine and medical devices / Complete systems and use-case applications Supply-chain Study: 614; records in this cohort but outside that set: 29. The intersection/union ratio is 46.5%, a measure of label overlap rather than business collaboration. Read comparison
Company samples and record links
| Company | Jurisdiction | Recorded industry |
|---|---|---|
| Shanxi Changqing Biotechnology Co., Ltd. | Shanxi | Biomedicine |
| Guangzhou Kangrun Biotechnology Co., Ltd. | Guangdong | Biomedicine |
| Shenzhen Aikang Biotechnology Co., Ltd. | Shenzhen | Biomedicine |
| Hubei Goto Biotechnology Co., Ltd. | Hubei | Biomedicine |
| ImmuneOnco Biopharmaceuticals (Shanghai) Inc. | Shanghai | Biomedicine |
| Beijing Increase Pharmaceutical Research Co., Ltd. | Beijing | Biomedicine |
| Shanghai Upper Bio-Tech Pharma Co., Ltd. | Shanghai | Biomedicine |
| Xinghua GL Stevia Co., Ltd. | Jiangsu | Biomedicine |
Stable-ID samples, not rankings; metrics use the full cohort.
Directly related profiles and reports
| Page | Presentation |
|---|---|
| Shanxi Changqing Biotechnology Co., Ltd. | Company report page |
| Guangzhou Kangrun Biotechnology Co., Ltd. | Company data profile |
| Shenzhen Aikang Biotechnology Co., Ltd. | Company data profile |
| Hubei Goto Biotechnology Co., Ltd. | Company data profile |
| ImmuneOnco Biopharmaceuticals (Shanghai) Inc. | Company data profile |
| Beijing Increase Pharmaceutical Research Co., Ltd. | Company data profile |