中国人才分布的学历梯度分异性:时空格局及影响机理
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齐宏纲, 戚伟, 刘振, 赵美风
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Heterogeneity of educational attainment of talents in China: Spatial and temporal patterns and driving factors
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QI Honggang, QI Wei, LIU Zhen, ZHAO Meifeng
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表3 回归结果
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Tab.3 Regression results
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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 |
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