Table 2.
Descriptive statistics of related variables.
| N | Mean | SD | Min | Max | |
|---|---|---|---|---|---|
| Dependent variables | |||||
| Level 1 | |||||
| Title of high-level talent | 499 | 0.673 | 0.469 | 0 | 1 |
| Level of academic recognition | 499 | 1.641 | 0.897 | 1 | 5 |
| Post-allowance | 499 | 5.813 | 9.219 | 0 | 100 |
| Housing allowance | 499 | 39.495 | 33.064 | 0 | 200 |
| Team allowance | 499 | 17.816 | 51.397 | 0 | 1,000 |
| Independent variables | |||||
| Personality | |||||
| Age | 499 | 48.533 | 8.467 | 27 | 80 |
| Hometown | 499 | 0.483 | 0.5 | 0 | 1 |
| Gender | 499 | 0.83 | 0.376 | 0 | 1 |
| Human capital | |||||
| Initial academic degree | 499 | 1.373 | 0.915 | 0 | 2 |
| Final academic degree | 499 | 3.082 | 1.676 | 0 | 5 |
| Key university | 499 | 0.569 | 1.034 | 0 | 3 |
| Length of service in Guangxi | 499 | 16.768 | 14.466 | 0 | 56 |
| Skills certificate | 499 | 0.391 | 0.488 | 0 | 1 |
| Cumulative advantage | |||||
| Professional qualification | 499 | 3.697 | 0.775 | 0 | 4 |
| Overseas talent | 499 | 0.16 | 0.367 | 0 | 1 |
| Number of national-level titles | 499 | 0.415 | 0.551 | 0 | 3 |
| Number of national-level funding | 499 | 0.06 | 0.254 | 0 | 2 |
| Number of provincial-level titles | 499 | 0.687 | 0.569 | 0 | 3 |
| Fixed effects | |||||
| Level 2 | |||||
| Location | 499 | 3.567 | 2.28 | 1 | 12 |
| Professional field | 499 | 9.317 | 5.804 | 1 | 21 |
| Institution | 499 | 3.85 | 1.551 | 1 | 5 |