หน้า 2
The Great Compression Pressure Index (GCPI) is a structural diagnostic tool designed to measure the level of systemic pressure within the global economic order.
It does not attempt to predict specific events.
Instead, it answers a more critical question:
How close is the global system to a compression point?
GCPI captures early, mid, and late-stage signals of structural stress—before they manifest as crises.
GCPI is built on six core dimensions, each representing a layer of systemic pressure consistent with The Great Compression Theory.
Measures distortion in value distribution across the system
Key Indicators:
Income inequality (e.g., Gini coefficient)
Labor share vs capital share
Gap between commodity prices and finished goods pricing
Interpretation:
Rising imbalance indicates that value capture is increasingly concentrated, creating structural dissatisfaction.
Measures the degree of economic self-protection by states
Key Indicators:
New tariffs and trade barriers
Industrial subsidies
Export/import restrictions
Data Proxies:
WTO trade policy reports
National policy announcements
Interpretation:
Higher protection signals declining trust in global integration.
Measures confidence of capital in the existing system
Key Indicators:
Gold accumulation and price trends
Safe-haven flows (e.g., sovereign bonds, reserve currencies)
Capital allocation toward real estate vs productive investment
Interpretation:
When capital shifts from risk to preservation, systemic confidence is weakening.
Measures the breakdown of global supply chain integration
Key Indicators:
Reshoring / friend-shoring activity
Formation of trade blocs
Divergence between global trade growth and GDP growth
Interpretation:
Fragmentation indicates a transition from efficiency-driven to security-driven systems.
Measures concentration of control over critical resources
Key Indicators:
Energy supply concentration (oil, gas)
Semiconductor production concentration
Rare earth dominance
Interpretation:
High concentration increases systemic vulnerability and strategic tension.
Measures observable pressure-release mechanisms
Key Indicators:
Trade wars and sanctions
Military tensions and proxy conflicts
Technology restrictions (e.g., export bans)
Interpretation:
These signals represent active “pressure release” within the system.
Each pillar is scored on a 0–5 scale:
Score Description
0 No observable pressure
1 Low
2 Emerging
3 Significant
4 High
5 Critical / Systemic stress
Each pillar contributes to the final GCPI score with the following weights:
Pillar Weight
Economic Imbalance (EI) 15%
Local Protection Intensity (LPI) 15%
Capital Behavior Shift (CBS) 15%
Trade Structure Fragmentation (TSF) 20%
Resource & Power Concentration (RPC) 20%
Conflict Signal Intensity (CSI) 15%
Rationale:
Structural dimensions (TSF and RPC) carry greater weight as they directly reflect system architecture.
Final output ranges from 0 to 5.
6. Interpretation Framework
GCPI Range System Phase
0–1 Expansion
1–2 Early Imbalance
2–3 Protection
3–4 Fragmentation
4–5 Compression / Pre-Reset
Based on observable macro signals:
Pillar Score
EI 4.0
LPI 4.0
CBS 3.5
TSF 4.0
RPC 4.5
CSI 4.0
Estimated GCPI Score: ≈ 4.0
The global system is currently in
late-stage fragmentation transitioning into early compression.
This indicates:
Elevated structural tension
Reduced systemic flexibility
Increased probability of large-scale adjustment
System stability is declining
Diversification becomes critical
Transition into survival-oriented strategy
Emphasis on resilience over growth
Pre-reset conditions
Capital preservation and strategic neutrality become dominant priorities
Time-Series GCPI: Track changes over time to identify acceleration of pressure
Regional GCPI: Assess pressure across major blocs (US, China, EU, ASEAN)
Sectoral GCPI: Apply model to critical sectors (energy, food, semiconductors)
GCPI is not a predictive model.
It is a pressure diagnostic tool.
It should be used in combination with:
Strategic judgment
Contextual geopolitical analysis
GCPI does not tell us what will happen.
It tells us how much pressure has already built up in the system.
In complex global systems,
understanding pressure is often more valuable than predicting events.