中国东部沿海五大城市群创新效率、影响因素及空间溢出效应
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盛彦文, 骆华松, 宋金平, 赵金丽, 张学波
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Evaluation, influencing factors and spatial spillover of innovation efficiency in five major urban agglomerations in coastal China
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SHENG Yanwen, LUO Huasong, SONG Jinping, ZHAO Jinli, ZAHNG Xuebo
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表5 空间滞后、空间误差及因变量滞后一期的空间Durbin模型回归结果
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Tab. 5 Estimation results of SAR, SEM and SDM with one-year-lagged dependent variable
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| 地理距离权重矩阵 | 经济距离权重矩阵 | 相互作用权重矩阵 | | SAR | SEM | SDM | SAR | SEM | SDM | SAR | SEM | SDM | Ln GDP | 0.087*** | 0.090*** | 0.155*** | 0.009 | -0.004 | -0.005 | 0.109*** | 0.114*** | 0.162*** | Ln URB | 0.043*** | 0.044*** | 0.055*** | -0.005* | -0.006** | -0.007** | 0.1*** | 0.098*** | 0.062*** | Ln FDI | -0.044*** | -0.045*** | 0.001 | -0.005*** | -0.002 | -0.004** | -0.037*** | -0.032*** | -0.001 | Ln GOV | 0.022** | 0.029*** | 0.006 | 0.004** | 0.006*** | 0.006*** | 0.013 | 0.012 | 0.007 | Ln LAB | -0.046*** | -0.047*** | -0.039*** | -0.003 | -0.003 | -0.001 | -0.036*** | -0.037*** | -0.045*** | Ln BAS | 0.048*** | 0.051*** | 0.09*** | 0.003 | 0.002 | 0.002 | 0.1*** | 0.108*** | 0.085*** | Ln INDU | -0.165*** | -0.152*** | 0.16*** | 0.02* | 0.013 | 0.029** | 0.13*** | 0.151*** | 0.134*** | Ln HIGH | -0.007** | -0.007** | -0.015*** | -0.003*** | -0.003*** | -0.003*** | -0.013*** | -0.014*** | -0.015*** | WLn GDP | | | 0.008 | | | 0.061*** | | | -0.033 | WLn URB | | | 0.069*** | | | -0.006 | | | 0.069*** | WLn FDI | | | -0.088*** | | | -0.014*** | | | -0.102*** | WLn GOV | | | -0.013 | | | -0.008*** | | | -0.009 | WLn LAB | | | -0.035** | | | -0.003 | | | -0.043*** | WLn BAS | | | -0.04* | | | 0.001 | | | -0.023 | WLn INDU | | | -0.608*** | | | -0.001 | | | -0.483*** | WLn HIGH | | | 0.004 | | | -0.001 | | | 0.012** | | 0.215*** | | 0.130*** | 0.783*** | | 0.757*** | 0.153*** | | 0.093*** | | | 0.173*** | | | 0.8*** | | | 0.156*** | | R-squared | 0.259 | 0.220 | 0.413 | 0.992 | 0.969 | 0.993 | 0.327 | 0.308 | 0.412 | log-likelihood | 153.021 | 144.501 | 256.275 | 2035.774 | 2034.869 | 1975.161 | 197.734 | 195.529 | 256.076 |
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