中国市级人口增长的多因素空间建模分析
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芦蕊, 马廷
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Spatially Modeling of Multiple Factors for City-level Population Growth in China
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LU Rui,MA Ting
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| 表4 空间回归模型统计表 |
| Tab. 4 Statistics of spatial regression |
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| 解释变量 | 空间统计模型 | | LAG模型 | SEM模型 | SFOLS模型 | | NLDens | 0.479*** | 0.645*** | 0.543*** | | NLGrow | -0.092* | -0.098* | -0.107** | | RLSum | 0.161 | 0.037 | 0.216? | | TIRGR | 0.219*** | 0.264*** | 0.202*** | | APMean | 0.304* | 0.368* | 0.449*** | | JTMean | 0.237*** | 0.326*** | 0.274*** | | HIb | -0.090 | -0.092 | -0.105 | | HIc | -0.439** | -0.511** | -0.535*** | | HId | -0.488** | -0.572** | -0.587*** | | APArea | 0.226* | 0.232? | 0.277** | | Patent | -0.178*** | -0.166** | -0.180*** | | RHO | 0.299 | - | - | | LAMBDA | - | 0.318 | - | | LR test | 20.385*** | 13.329*** | - | | ASE | 0.061*** | 0.073*** | - | | Wald statistic | 24.397*** | 19.165*** | - | | Log likelihood | -342.353 | -345.882 | -319.109 | | ML residual variance | 0.421 | 0.428 | - | | LM test | 12.001(0.000) | - | - | | SSR | 144.746 | 147.376 | 128.773 | | AIC | 712.710 | 719.760 | 678.218 |
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