China
Country ProfileChina is modeled as a major strategic materials node across processing, refining, industrial scale, and policy exposure for selected critical materials and downstream industries.
Sources
Public-safe source categories, reviewed context, confidence labels, and evidence boundaries behind the China country profile.
Source transparency layer. Raw evidence, reviewer notes, and source-to-score reasoning are not exposed in the public preview.
Source discipline
Public categories
The China profile organizes public source categories into reviewed country, material, trade, industry, risk, and watch context.
Review status
Reviewed Jun 2026
The profile uses last-reviewed and confidence labels so users can separate stable context from modeled assumptions.
Evidence boundary
Public-safe context
The public profile shows source categories and confidence labels, not raw evidence chains or private reviewer notes.
Briefing / Pro layer
Source-linked evidence
Detailed source-linked claims, facility-level evidence, and customer-specific analysis remain reserved for briefing and Pro workflows.
Source category map
China country intelligence is grounded in public source categories that support production, processing, trade, policy, industry, risk, and watch context.
USGS
Used for production, reserves, import reliance.
Core public sourceUsed for mineral commodity summaries, production context, reserve context, and import-reliance framing where relevant.
IEA
Used for critical minerals demand, processing concentration.
Core public sourceUsed for energy transition minerals, processing concentration, demand pressure, and critical minerals market context.
Government policy references
Used for export controls, licensing, policy exposure.
Policy contextUsed for public export-control context, licensing rules, industrial policy, restrictions, sanctions exposure, and policy signals.
Trade and customs references
Used for trade friction, routed dependency, public trade context.
Trade contextUsed for high-level trade exposure, customs context, routed dependency, restrictions, and public counterparty categories.
Academic references
Used for material properties, substitution, applications.
Technical contextUsed for material performance, substitution difficulty, qualification drag, industrial applications, and technical constraints.
Industry references
Used for downstream demand, sector exposure.
Industry contextUsed for downstream industry exposure, sector dependency, demand context, manufacturing systems, and end-use interpretation.
Multilateral and market references
Used for market structure, demand context, macro exposure.
Market contextUsed for market structure, macro demand context, commodity framing, and broader strategic-materials analysis.
Internal modeled review
Used for normalization, confidence labels, public-preview modeling.
Modeled intelligenceUsed to normalize public source categories into modeled exposure labels, review status, and public-safe intelligence structure.
Source-to-tab coverage matrix
Source categories support different parts of the China profile without exposing raw evidence chains or source-to-score reasoning.
| Source category | Overview | Supply & Production | Trade & Dependency | Industry Exposure | Risk & Outlook | What to Watch |
|---|---|---|---|---|---|---|
| USGS | Primary | Primary | Supporting | Context | Supporting | Context |
| IEA | Supporting | Primary | Supporting | Supporting | Primary | Supporting |
| Government policy | Supporting | Context | Primary | Context | Primary | Primary |
| Trade references | Context | Supporting | Primary | Supporting | Supporting | Supporting |
| Academic references | Context | Supporting | Context | Supporting | Supporting | Context |
| Industry references | Supporting | Supporting | Supporting | Primary | Supporting | Supporting |
| Market references | Context | Context | Supporting | Supporting | Supporting | Context |
| Internal modeled review | Primary | Primary | Primary | Primary | Primary | Primary |
Coverage labels describe how source categories support public-preview context. They are not source weights or scoring formulas.
Confidence discipline
Confidence labels help users understand whether a profile area is supported by strong public coverage, mixed evidence, or modeled assumptions.
High confidence
Multiple strong source categories agree and the relationship is stable across public references.
Medium confidence
Good source coverage exists, but some exposure labels rely on modeled assumptions or public-preview interpretation.
Low confidence
Limited public coverage, early-stage context, or conflicting signals require additional review.
Review discipline
Review labels keep country intelligence separate from raw, unreviewed, or fast-changing signals.
Last reviewed
Shows when the public profile context was last reviewed for consistency and public-safe framing.
Source category context
Shows which public source types support a section without exposing raw notes or private evidence chains.
Modeled score disclaimer
Clarifies that exposure and risk labels are modeled intelligence outputs, not official government ratings.
Public vs locked evidence
The public profile shows source transparency and modeled context while preserving deeper evidence for briefing and Pro workflows.
Public source categories
Shown publicly so users know what types of references support the profile.
Confidence labels
Shown publicly to separate reviewed context from modeled assumptions.
Last-reviewed dates
Shown publicly to make review timing visible.
Source-linked claims
Locked for briefing and Pro workflows where claim-level evidence can be reviewed.
Reviewer notes
Locked because internal interpretation, raw notes, and review reasoning are not public preview content.
Customer-specific evidence
Locked because supplier, facility, counterparty, and customer-specific context belongs in private workflows.
Source category interpretation
Public-safe interpretation for operators, investors, and analysts.
For operators
Use source categories to understand what type of evidence supports a profile area before requesting deeper supplier, facility, or trade-flow context.
For investors
Source transparency helps diligence teams separate high-level public context from deeper evidence needed for company, asset, or counterparty exposure.
For analysts
A useful profile separates source categories, confidence labels, and modeled assumptions without exposing raw notes or unreviewed evidence chains.
Public preview boundary
This tab shows public-safe source transparency. It does not expose raw evidence, source-to-score logic, reviewer notes, company-specific exposure, or facility-level evidence.
Public preview includes
- Source category map
- Source-to-tab coverage matrix
- Confidence labels
- Last-reviewed dates
- Public source context
- Modeled intelligence disclaimers
- Public/private evidence boundaries
- Links to methodology and sources pages
Briefing / Pro includes
- Source-linked claims
- Reviewer notes
- Evidence chains
- Company-level exposure
- Asset and facility evidence
- Customer-specific supplier context
- Trade-flow and counterparty evidence
- Exportable evidence-backed brief
Periodic Engine does not sell raw public data. It organizes, normalizes, connects, and explains public source categories through a modeled intelligence layer. Country exposure labels are public-preview intelligence outputs, not official government ratings.
Modeled intelligence scores. Not official government ratings. Public-safe intelligence only.