Invisible Progress in Entrepreneurial Ecosystems ## Simulation Code and Replication Materials

This repository contains the complete Python implementation of the three-stock
system dynamics model developed in the manuscript, together with all scripts
required to replicate the reported results and figures.

The model examines how institutional coordination shapes long-run entrepreneurial
ecosystem trajectories. Three stocks — active startup population (S),
entrepreneurial capabilities (C), and institutional support (I) — interact
through reinforcing loops (R1, R2) and balancing loops (B1, B2). A coordination
threshold derived from the governing equations (R1/B1 = 1 ↔ dS/dt = 0)
distinguishes self-limiting from self-reinforcing feedback regimes.

Two national contexts are compared: **Mexico** and the **United Kingdom**,
calibrated via structured expert elicitation using the Repertory Grid Technique
(RGT). Three policy scenarios are simulated:
- **S1** — Baseline (fragmented support)
- **S2** — Financial intensification without coordination
- **S3** — Coordinated early intervention