中国城市NO2浓度的时空分布及社会经济驱动力
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姚尧, 李江风, 胡涛, 杨媛媛, 丁镭
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Spatiotemporal variation in NO2 concentrations and socioeconomic driving forces in Chinese cities
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Yao YAO, Jiangfeng LI, Tao HU, Yuanyuan YANG, Lei DING
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| 表2 面板模型检验结果 |
| Table 2 Estimation results of panel models |
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| 模型估计 | OLS | SLM-FE | SLM-RE | SEM-FE | SEM-RE | | 系数值 | t值 | 系数值 | t值 | 系数值 | t值 | 系数值 | t值 | 系数值 | t值 | | 常数项 | 4.910*** | 5.9 | - | - | 6.273*** | 7.1 | - | - | 5.284*** | 5.9 | | lnPGDP | -0.695*** | -4.0 | -0.954*** | -5.4 | -0.751*** | -4.4 | -0.828*** | -4.7 | -0.815*** | -4.5 | | ln2PGDP | 0.035*** | 4.3 | 0.048*** | 5.5 | 0.038*** | 4.3 | 0.039*** | 4.6 | 0.038*** | 4.3 | | lnUrban | 0.218*** | 4.4 | 0.375*** | 5.5 | 0.252*** | 4.6 | 0.337*** | 5.1 | 0.172*** | 3.1 | | lnArea | 0.052** | 2.5 | 0.040* | 1.8 | 0.029 | 1.4 | -0.027 | -1.3 | 0.065** | 3.2 | | lnIndustry | 0.118*** | 2.9 | 0.108*** | 3.0 | 0.142*** | 4.2 | 0.088*** | 2.6 | 0.267*** | 8.9 | | lnCar | 0.081*** | 4.5 | 0.089*** | 4.9 | 0.099*** | 5.3 | 0.092*** | 5.1 | 0.088*** | 4.5 | | lnGreen | -0.066** | -2.5 | -0.108*** | -4.2 | -0.090*** | -3.4 | -0.061*** | -2.5 | -0.086*** | -3.4 | | T | 0.012 | -0.6 | 0.016 | -0.9 | 0.015 | -0.8 | 0.013 | -0.6 | 0.012 | -0.6 | | δ | - | - | 0.236*** | 8.6 | 0.236*** | 8.7 | - | - | - | - | | λ | - | - | - | - | - | - | 0.234*** | 9.5 | 0.222*** | 8.5 | | R2 | 0.608 | 0.788 | 0.744 | 0.707 | 0.679 | | Hausman | 5.87 | - | 41.25*** | - | 217.81*** | | log-likelihood | | - | - | - | 336.367 | -269.810 |
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