Table 5.
The impact of different institutions 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) |
|
Institution | |||||||
Enterprise | 0.00 (.) | 0.00 | 0.00 (.) | 0.00 | 0.00 (.) | 0.00 (.) | 0.00 (.) |
Other public institutions | −1.27* (−1.76) | 0.28* | 0.35 (0.53) | 1.42 | 3.22 (1.06) | 10.89 (0.99) | 2.75 (0.16) |
Hospital | 0.15 (0.36) | 1.16 | 0.13 (0.35) | 1.14 | 0.58 (0.32) | −1.28 (−0.20) | 0.97 (0.10) |
Scientific research institute | 0.62* (1.92) | 1.85* | 0.52* (1.82) | 1.68* | 2.31* (1.70) | 6.72 (1.38) | 7.84 (1.03) |
University | 0.40 (1.62) | 1.49 | 0.40* (1.65) | 1.49* | 2.82** (2.58) | 7.55* (1.92) | 9.38 (1.53) |
_cons | 0.42** (2.03) | 1.52** | – | – | 3.78*** (4.03) | 34.11*** (10.13) | 11.25** (2.14) |
Thresholds | |||||||
cut1 | 0.68*** (3.30) | 1.97*** | |||||
cut2 | 1.87*** (8.38) | 6.49*** | |||||
cut3 | 3.24*** (11.60) | 25.53*** | |||||
cut4 | 6.55*** (6.42) | 699.24*** | |||||
N | 499 | 499 | 499 | 499 | 499 | ||
Pseudo R2 | 0.0165 | 0.0040 |
p < 0.10,
p < 0.05,
and p < 0.01.