Research Framework
Dynamic Model of Northeast Asia Development
Version 0.1 — Scientific research framework
Purpose
Develop a dynamic, probabilistic simulation of Northeast Asia (Eastern Siberia, Russian Far East, Northeast China, Mongolia and adjacent maritime systems) as a spatial-economic system. The objective is to study long-term regional resilience, self-sustaining development and adaptation under different assumptions, without making normative or political claims.
1. Spatial Layers
- Geography
- Population
- Ethnic geography
- Industry
- Energy
- Resources
- Transport
- Ports
- Digital infrastructure
- Climate
- Education
- Research centers
2. Agent Types
- Households
- Firms
- Cities
- Infrastructure operators
- Universities
- Innovation clusters
- External markets
3. Macro Drivers
- Economic integration between neighboring economies
- Northern Sea Route development
- Icebreaker fleet capacity
- Climate change
- Migration toward Eastern Siberia and the Pacific coast
- Industrial relocation
- Technology diffusion
- Capital flows
4. Infrastructure Network
- Railways
- Roads
- Ports
- Airports
- Power grids
- Pipelines
- Fiber networks
- Logistics hubs
5. Knowledge Geography
- Universities
- R&D institutes
- Patent activity
- Startup density
- Technology transfer
- Human capital retention
- International collaboration
6. Probability Layer
- Bayesian updating
- Monte Carlo simulations
- Scenario analysis
- Sensitivity analysis
- Shock propagation
7. Game Theory
- Infrastructure coordination
- Industrial specialization
- Migration competition
- Supply-chain optimization
- Innovation cooperation
8. Climate Module
- Temperature
- Permafrost
- Growing season
- Forest dynamics
- Wildfire risk
- Water resources
- Agricultural productivity
9. Outputs
- Resilience index
- Autonomy index
- Network robustness
- Economic complexity
- Recovery time
- Infrastructure bottlenecks
- Critical dependencies
Core State Vector
S(t) = {Population, Energy, Food, Capital, Infrastructure, Human Capital, Trade, Resources}
Suggested Data Schema
| Variable | Year | Region | Value | Source | Confidence | Method | Scenario |
|---|---|---|---|---|---|---|---|
| Population | 2025 | Primorye | ... | Official statistics | High | Observed | Baseline |
Research Roadmap
- Stage 1. Build historical database (2000–2026).
- Stage 2. Build GIS and infrastructure graph.
- Stage 3. Build demographic and economic models.
- Stage 4. Integrate climate and logistics modules.
- Stage 5. Add Bayesian inference and Monte Carlo engine.
- Stage 6. Add agent-based simulation.
- Stage 7. Validate against historical observations.
- Stage 8. Explore long-term scenarios (20–50 years).
Scientific Principles
The framework is intended for exploratory systems research. It evaluates how interacting demographic, economic, climatic, technological and infrastructural factors shape long-term regional development. Results should be interpreted as scenario analyses rather than predictions.