Regional and supply-chain research

Industrial Cleaning Surface Cleanliness Keyword Candidate Study

Industrial Cleaning Surface Cleanliness Keyword Candidate Study. A dated 32-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, Shanghai, contains 7 records (21.9% of this 32-record cohort). The remaining cohort contains 25 records. The comparison concerns archive composition.

The recorded chain role label Fine chemicals / Basic and process materials accounts for 31.2% here (10/32), compared with 3.8% in the parent set (740/19,297), an absolute gap of 27.4 percentage points.

7/32 companies link to pages with existing source-supported excerpts (21.9% of the cohort). The other 25 records remain usable for archive composition, but do not support new operating case studies.

5 keyword candidates match only a company name, with no matching term in recorded products or sub-industry fields. Product evidence is needed before treating these as operating businesses in this segment.

Company cohortDirectly linked pagesShare of public archiveArchive date
32320.2%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, All public archive records, contains 19,297 records. This cohort contributes 32 (0.2%); 19,265 records remain after excluding it.

CategoryCohort count/baseReference: All public archive recordsGap (pp)Representation ratioRest count/base
chain role · Fine chemicals / Basic and process materials10/32 · 31.2%740/19,297 · 3.8%+27.48.15730/19,265
industry · Advanced chemicals9/32 · 28.1%269/19,297 · 1.4%+26.720.18260/19,265
reporting jurisdiction · Shanghai7/32 · 21.9%1,131/19,297 · 5.9%+16.03.731,124/19,265
chain role · Energy conservation, environmental protection and resource recycling / Complete systems and use-case applications6/32 · 18.8%693/19,297 · 3.6%+15.25.22687/19,265
reporting jurisdiction · Shenzhen6/32 · 18.8%1,398/19,297 · 7.2%+11.52.591,392/19,265
industry · Next-generation information technology5/32 · 15.6%5,226/19,297 · 27.1%-11.50.585,221/19,265
industry · Energy conservation and environmental protection5/32 · 15.6%869/19,297 · 4.5%+11.13.47864/19,265
chain role · Advanced equipment and industrial automation / Process equipment and inspection instruments7/32 · 21.9%4,085/19,297 · 21.2%+0.71.034,078/19,265
reporting jurisdiction · Jiangsu5/32 · 15.6%3,025/19,297 · 15.7%-0.11.003,020/19,265

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

Excluding this cohort, the recorded chain role label Fine chemicals / Basic and process materials covers 730/19,265 remaining records (3.8%), an absolute gap of 27.5 percentage points from this cohort.

Concentration and cross-sectional structure

The full reporting jurisdiction distribution has 14 labels; the top 3 contain 18/32 records (56.2%).Other known labels contain 14 records.

For 32 records with known labels, the effective category count is 7.8, versus 14 actual labels. Definitions and scope are in the methodology.

The table shows ten labels; 4 others are included in the calculations above.

Recorded labelRecordsShare of cohort
Shanghai721.9%
Shenzhen618.8%
Jiangsu515.6%
Guangdong39.4%
Guangxi26.2%
Beijing13.1%
Tianjin13.1%
Anhui13.1%
Hebei13.1%
Zhejiang13.1%

Record counts do not rank supply capability or economic size.

The largest intersection, Shanghai × Next-generation information technology, contains 3 records, or 42.9% of the 7 records carrying the Shanghai label.

reporting jurisdictionindustryIntersection recordsCohort share
ShanghaiNext-generation information technology39.4%
ShanghaiProducer services26.2%
GuangdongAdvanced chemicals26.2%
GuangxiAdvanced chemicals26.2%
JiangsuBiomedicine26.2%
JiangsuEnergy conservation and environmental protection26.2%
ShenzhenAdvanced chemicals26.2%
ShanghaiBiomedicine13.1%

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 24 non-empty cells; the other 16 remain in the analysis.

Evidence coverage and strength of conclusions

Record fieldNon-empty/cohortCompletion
Company name32/32100.0%
reporting jurisdiction32/32100.0%
industry32/32100.0%
Recorded products32/32100.0%
sub-industry32/32100.0%
Chain labels32/32100.0%

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

Scope of source supportCount
Profiles with source-supported excerpts7
Distinct corresponding companies7
Reviewed Chinese/English paragraph pairs7

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

Transparent rule reminderRecordsCohort share
Only generic operations vocabulary remains13.1%

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

Matched fieldCandidatesCohort share
Company name618.8%
Recorded products1753.1%
Sub-industry1031.2%

An ID may match several fields, so counts may exceed the cohort total. Matches establish search relevance only.

Among the translated non-broad query terms, “cleanliness” has the most matches: 20/32. Name, product and sub-industry fields match 5, 12 and 3 records respectively; the largest field is product field. Fields can overlap, and a term remains a search link rather than verified business activity.

Selected query termCandidates/shareName matchesProduct fieldSub-industry
cleanliness20 · 62.5%5123
cleaning equipment2 · 6.2%020

Selected broad terms and specific segment terms, not the full query. Terms and fields can overlap and must not be summed. Counts show lexical sensitivity; no records are removed without primary evidence.

5 candidates match only a name, or lose all product-field matches after the full company name is removed while sub-industry also has no hit. This transparent string test locates copied company descriptions; it does not establish that a company does not operate the business.

Intersection with 2026 local lists

6 of this cohort’s 32 records link through existing company-ID mappings to 2026 lists from all jurisdictions (18.8%). 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 IDs6066

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 Industrial Lubricants Metalworking Fluids Keyword Candidate Study: 8; records in this cohort but outside that set: 24. The intersection/union ratio is 16.7%, a measure of label overlap rather than business collaboration. Read comparison

Shared records with Cleanroom Ultrapure Water Semiconductor Facility Keyword Candidate Study: 6; records in this cohort but outside that set: 26. The intersection/union ratio is 16.7%, a measure of label overlap rather than business collaboration. Read comparison

Company samples and record links

CompanyJurisdictionRecorded industry
X & Y Industrial Company LimitedShenzhenAdvanced materials
Hubei Chengxiang Technology Co., Ltd.HubeiAdvanced chemicals
Sunshine New Technology Co., Ltd.TianjinAdvanced chemicals
Nanning Feiri Lubrication Science and Technology Co., Ltd.GuangxiAdvanced chemicals
Shanghai Macroprocess Lustration Technology Co., Ltd.ShanghaiProducer services
Zhejiang Huapu Eco-Friendly Materials Co., Ltd.ZhejiangAdvanced materials
Shanghai Gentech Co., Ltd.ShanghaiNext-generation information technology
Mifei Technology (Shanghai) Co., Ltd.ShanghaiNext-generation information technology

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

Directly related profiles and reports

Methodology

Read ID deduplication, comparison, batch and evidence definitions