Interconnected Risks: What Spatial Economics Reveals About the Real World

A recent study by Jani Kinnunen, Chief Research Officer at Mission Grey, and Irina Georgescu (Bucharest University of Economic Studies) applies spatial econometric models to CO₂ emissions in the Black Sea region and highlights a fundamental reality: Economic and environmental outcomes are not local. They are interconnected across borders.

The analysis demonstrates strong spillover effects:

• Emissions in one country directly influence neighboring countries,
• Renewable energy reduces emissions both locally and regionally,
• GDP growth and urbanization increase emissions,
• Foreign direct investment (FDI) can reduce emissions through technology transfer.

These findings challenge traditional approaches that treat countries or markets as isolated units. Instead, they confirm a structural shift: Decisions, risks, and outcomes propagate through interconnected systems, not within borders.

This is not limited to environmental dynamics. The same patterns apply across:

• Supply chains,
• Energy markets,
• Capital flows,
• Regulatory environments.

External Intelligence Layer

At Mission Grey, these dynamics are built directly into our products. We utilize similar modelling approaches to understand how real-world events propagate across regions and industries. Jani Kinnunen and his team play a central role in developing these models and turning them into decision tools.

In practice, this means:

• Mapping cross-border dependencies across geopolitics, trade, energy, and regulation,
• Detecting spillover-driven early signals, not just direct events,
• Converting developments into scenario-based analysis with clear business impact,
• Linking external changes directly to financial, operational, and strategic decisions.

The focus is not just on what is happening, but: How it spreads and what it changes.

What This Means for Decision-Makers

There are no local risks anymore. Only interconnected ones.

Most organizations still rely on:

• Static reports,
• Country-level analysis,
• Backward-looking indicators.

These approaches miss how quickly risks propagate and where they go next. Organizations that understand interdependencies can:

• Anticipate change earlier
• Respond with more precision
• Build resilience based on real-world dynamics