Comprehensive research platform exploring the causal effects of AI implementation on spatial economic patterns in Japan's aging society through interactive dashboards and rigorous empirical analysis.
AI Causal Impact on Spatial Agglomeration
High-AI vs Low-AI Industries
Potential Offset of Aging Effects
Rigorous Causal Identification
Explore comprehensive research findings through interactive visualizations and analytical tools
Executive summary with key findings, interactive KPIs, and comprehensive research highlights
Population aging trends, workforce dynamics, and demographic transitions with interactive maps
Agglomeration analysis, concentration patterns, and spatial distribution dynamics
Treatment effects, robustness tests, and comprehensive causal identification methods
Long-term scenarios (2024-2050), policy simulations, and predictive modeling
Complete analysis results, data export capabilities, and comprehensive figure gallery
Rigorous causal identification through multiple empirical approaches
First comprehensive integration of AI-specific mechanisms into New Economic Geography theory:
Evidence-based insights on AI's spatial distribution effects
4.2-5.2 percentage points increase in agglomeration patterns
8.4pp (high-AI) vs 1.2pp (low-AI) industries - targeted policy needed
60-80% offset of aging effects - strategic AI adoption crucial
15-30% improvement possible - evidence-based interventions work