3 · Correlation model
Economic, investment, innovation & transformation correlation
The FDI Ecosystem Intelligence Engine combines correlation + prediction + causal evaluation + optimization across four principal dimensions.
Economic Impact
Jobs, GVA, exports, productivity, wages and regional spillovers
Investment
FDI inflows, reinvestment, capital expenditure and mandate expansion
Deep Tech & Innovation
R&D, patents, technology adoption, research partnerships, commercialization
Digital Transformation
AI maturity, collaboration velocity, platform adoption, connectivity
Pearson matrix — click a cell to deep dive
| Jobs | GVA | Exports | Capex | Expansion | R&D | Patents | AI maturity | Collab. | |
|---|---|---|---|---|---|---|---|---|---|
| Jobs | |||||||||
| GVA | |||||||||
| Exports | |||||||||
| Capex | |||||||||
| Expansion | |||||||||
| R&D | |||||||||
| Patents | |||||||||
| AI maturity | |||||||||
| Collab. |
R&D vs Expansion
ρ = 0.647
Pattern insight: strong association between deep tech and investment signals. Association does not establish causality.
ΔGVA by region — direct / indirect / induced (€m, synthetic)
Measures association (e.g. R&D intensity vs expansion). Does not establish causality.
Estimate direct, indirect and induced effects separately using input-output data; avoid double counting.
Causal evaluation: difference-in-differences against matched non-participating firms.