# Dynamic Model of Northeast Asia Development

Status: Research framework · v0.1
Source date: Not specified

## 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.