Table 6.
The impact of different professional fields on talent selection and funding.
| Logit regression | OLS regression | ||||||
|---|---|---|---|---|---|---|---|
| Title of high-level talent | Level of academic recognition | Post-allowance | Housing allowance | Team allowance | |||
|
Coefficient
(SE) |
Odds
ratio |
Coefficient
(SE) |
Odds
ratio |
Coefficient
(SE) |
Coefficient
(SE) |
Coefficient
(SE) |
|
| Professional fields | |||||||
| Other professional fields | 0.00 (.) | 0.00 (.) | 0.00 (.) | 0.00 (.) | 0.00 (.) | ||
| Agronomy | 2.52*** (5.22) | 12.47*** | 3.31*** (3.18) | 27.29*** | 5.24*** (2.95) | 15.57** (2.44) | 14.61 (1.44) |
| Engineering | 1.69*** (3.74) | 8.12*** | 3.16*** (3.05) | 18.80*** | 3.40** (1.98) | 11.74* (1.91) | 11.93 (1.22) |
| Medicine | 2.09*** (4.67) | 5.41*** | 2.93*** (2.83) | 23.52*** | 5.02*** (2.99) | 17.96*** (2.98) | 24.75*** (2.59) |
| Liberal arts | 1.34*** (2.62) | 3.80*** | 4.14*** (3.93) | 62.52*** | 9.34*** (4.63) | 30.79*** (4.24) | 10.52 (0.91) |
| Science | 3.14*** (6.94) | 23.17*** | 3.79*** (3.70) | 44.21*** | 7.19*** (4.54) | 25.58*** (4.50) | 23.43*** (2.60) |
| _cons | −1.39*** (−3.51) | 0.25*** | – | – | 0.40 (0.28) | 20.90*** (4.10) | 0.25 (0.03) |
| Thresholds | |||||||
| cut1 | 3.67*** (3.63) | 3.67*** | |||||
| cut2 | 4.94*** (4.85) | 4.94*** | |||||
| cut3 | 6.34*** (6.14) | 6.34*** | |||||
| cut4 | 9.65*** (6.78) | 9.65*** | |||||
| N | 499 | 499 | 499 | 499 | 499 | ||
| Pseudo R2 | 0.1223 | 0.0516 | |||||
*
p < 0.10,
**
p < 0.05,
***
and p < 0.01.