A Systems View Across Time and Space
Factor | L1 | L2 | L3 |
 Exit strategies* | 0 | 1 | ≥ 2 |
 Global market* | < 10% | 10–40% | > 40% |
 Entrepreneurship in universities* | < 2% | 2–10% | > 10% |
 Culture values for entrepreneurship* | < 0.5 | 0.5–0.75 | > 0.75 |
 Startup events * | Monthly | Weekly | Daily |
 Ecosystem data and research* | N/A | Partial | Full |
 Ecosystem generations* | 0 | 1 | 2 |
 Mentoring quality | < 10% | 10–50% | > 50% |
 Bureaucracy | > 40% | 10–40% | < 10% |
 Tax burden | > 50% | 30–50% | < 30% |
 Accelerators quality (% success) | < 10% | 1–50% | > 50% |
 Access to funding in USD/year | < 200M | 200M to 1B | > 1B |
 Human capital quality | > 20th | 15–20th | < 15th |
 Technology transfer processes | < 4.0 | 4.0–5.0 | > 5.0 |
 Methodologies knowledge | < 20% | 20–60% | > 60% |
 Specialized media players | < 3 | 3–5 | > 5 |
Relative measured factors (per 1 million inhabitants) | |||
 Number of startups* | < 200 | 200–1k | > 1k |
 Angel funding in number of deals/year* | < 5 | 5–50 | > 50 |
 High-tech companies presence* | < 2 | 2–10 | > 10 |
 Access to funding in number of deals/year | < 50 | 50–300 | > 300 |
 Incubators/tech parks | 1 | 2–5 | > 5 |
 Established companies influence | < 2 | 2–10 | > 10 |