Table 5 Regression results of the influencing factors of the flow network of highly educated talents locally in the Yangtze River Delta.
Variables | Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model 6 | Model 7 |
|---|---|---|---|---|---|---|---|
Nij | Nij | Nij | Nij | Nij | Nij | Nij | |
GDPi | 0.6646** | 1.1618*** | |||||
(0.3175) | (0.3835) | ||||||
GDPj | 2.6113*** | 2.7176 | |||||
(0.2135) | (2.9961) | ||||||
Collegesj | 2.8013*** | 1.8344 | |||||
(0.3697) | (2.3127) | ||||||
Universitiesj | 0.3274 | 0.1803 | |||||
(0.2469) | (0.4954) | ||||||
Sciencej | 2.8749*** | 1.4895 | |||||
(0.2556) | (1.4768) | ||||||
Hospitalsj | 0.1553 | 0.0759 | |||||
(0.8286) | (2.1510) | ||||||
Busesj | 2.7303*** | − 0.8492 | |||||
(0.7870) | (4.5431) | ||||||
Greenbeltj | 2.9576*** | 0.8449 | |||||
(0.7066) | (0.9699) | ||||||
Pollutioni | − 0.0196 | 0.7319** | |||||
(0.2480) | (0.3356) | ||||||
Distanceij | − 0.9635 | − 1.2836** | |||||
(0.7727) | (0.6125) | ||||||
Provinceij | 0.8820*** | 1.6854*** | |||||
(0.3294) | (0.2737) | ||||||
Constant | − 4.1661*** | − 4.7113*** | − 4.4405*** | − 4.3992*** | − 1.8663*** | − 2.2599*** | − 7.1211*** |
(0.1554) | (0.1957) | (0.1797) | (0.1658) | (0.3256) | (0.3961) | (0.8013) | |
lnalpha | − 31.5358 | − 31.5358 | − 31.5358 | − 31.5358 | − 31.5358 | − 31.5358 | − 31.5358 |
(0.0000) | (0.0000) | (0.0000) | (0.0000) | (0.0000) | (0.0000) | (0.0000) | |
Observations | 283 | 283 | 283 | 283 | 283 | 283 | 283 |
Wald chi2 | 149.56 | 140.10 | 126.48 | 153.00 | 17.72 | 8.85 | 352.04 |
Prob > chi2 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0001 | 0.0120 | 0.0000 |
Log pseudolikelihood | − 44.59 | − 43.71 | − 44.67 | − 44.20 | − 50.46 | − 51.83 | − 41.20 |
