中国人才分布的学历梯度分异性:时空格局及影响机理
齐宏纲, 戚伟, 刘振, 赵美风

Heterogeneity of educational attainment of talents in China: Spatial and temporal patterns and driving factors
QI Honggang, QI Wei, LIU Zhen, ZHAO Meifeng
表3 回归结果
Tab.3 Regression results
变量 研究生 本科 大专
OLS SAR SEM OLS SAR SEM OLS SAR SEM
tez 0.529*** 0.529*** 0.533*** 0.253*** 0.247*** 0.270*** 0.141*** 0.137*** 0.156***
(4.439) (4.451) (4.452) (3.788) (3.719) (4.028) (2.841) (2.778) (3.149)
wag 0.607*** 0.605*** 0.701*** 0.476*** 0.468*** 0.557*** 0.160*** 0.160*** 0.220***
-4.884 (4.775) (5.426) (6.834) (6.671) (7.637) (3.093) (3.112) (4.074)
sta -0.309** -0.306** -0.276** -0.256*** -0.222*** -0.221*** -0.122** -0.103* -0.132**
(-2.291) (-2.251) (-2.003) (-3.385) (-2.915) (-2.854) (-2.165) (-1.827) (-2.314)
doc 0.340*** 0.339*** 0.337*** 0.211*** 0.207*** 0.221*** 0.199*** 0.192*** 0.197***
(4.084) (4.090) (4.035) (4.526) (4.482) (4.728) (5.730) (5.572) (5.696)
roa 0.194*** 0.194*** 0.198*** 0.175*** 0.172*** 0.176*** 0.156*** 0.153*** 0.157***
(4.657) (4.670) (4.776) (7.458) (7.388) (7.630) (8.964) (8.883) (9.217)
gre -0.064 -0.064 -0.07 0.009 0.007 0.005 -0.029 -0.031 -0.035
(-1.025) (-1.035) (-1.132) (0.259) (0.197) (0.156) (-1.112) (-1.201) (-1.383)
pm -0.006 -0.006 -0.024 -0.116*** -0.103** -0.127*** -0.075** -0.062** -0.077**
(-0.079) (-0.082) (-0.300) (-2.807) (-2.480) (-2.757) (-2.426) (-1.997) (-2.224)
dem 0.022 0.023 0.021 -0.005 0.004 -0.004 0.002 0.008 0.0001
(1.013) (1.001) (0.900) (-0.449) (0.280) (-0.279) (0.276) (0.862) (-0.005)
edu 0.525*** 0.525*** 0.516*** 0.223*** 0.223*** 0.206*** 0.122*** 0.123*** 0.112***
-16.195 (16.189) (15.955) (12.274) (12.317) (11.387) (9.058) (9.153) (8.449)
sef -0.407*** -0.407*** -0.380*** -0.193*** -0.190*** -0.183*** -0.124*** -0.127*** -0.148***
(-3.973) (-3.992) (-3.610) (-3.351) (-3.332) (-3.085) (-2.897) (-2.986) (-3.375)
den 0.037 0.038 0.052 -0.088*** -0.078*** -0.074*** -0.097*** -0.089*** -0.093***
(0.867) (0.885) (1.181) (-3.658) (-3.217) (-2.962) (-5.412) (-4.968) (-5.033)
ρ 0.022 0.315** 0.370***
(0.112) (2.195) (2.780)
γ 0.584*** 0.727*** 0.830***
(3.881) (6.972) (12.399)
R2 0.732 0.736 0.735 0.738 0.740 0.741 0.688 0.687 0.691
Log-likelihood -658.406 -658.404 -655.316 -243.436 -241.965 -237.592 -30.916 -29.519 -18.921
Durbin-Watson 1.651 1.598 1.471
LM(lag) 0.011 3.528* 2.766*
R-LM(lag) 5.505** 0.118 5.760**
LM(error) 6.407** 12.380*** 33.041***
R-LM(error) 11.901*** 8.970*** 36.035***
N 717 717 717