中国大城市病典型症状诱发因素的实证分析
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沈洁, 张可云
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An empirical analysis of factors leading to typical urban problems in China
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SHEN Jie, ZHANG Keyun
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表3 门槛模型回归结果(交通拥堵)
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Tab.3 Regression results of threshold model (traffic congestion)
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变量 | y1 | size | | concen | | road | size≤0.05 | size>0.05 | | concen≤0.085 | concen>0.085 | | road≤0.154 | road>0.154 | size | 0.752*** | 0.644*** | | 0.182 | 1.304*** | | 0.176* | 0.746** | | (0.098) | (0.094) | | (0.110) | (0.276) | | (0.088) | (0.354) | concen | 0.412*** | 0.587*** | | 0.061 | 0.776*** | | 0.514*** | 1.144** | | (0.093) | (0.047) | | (0.187) | (0.093) | | (0.074) | (0.620) | scnd | -0.305*** | -0.300** | | -0.320*** | 0.349 | | -0.377*** | -1.251 | | (0.118) | (0.132) | | (0.113) | (0.196) | | (0.103) | (1.214) | thrd | -0.256** | -0.158* | | -0.296** | 0.546* | | -0.320** | -2.048* | | (0.122) | (0.113) | | (0.117) | (0.231) | | (0.105) | (1.217) | road | -0.366*** | 0.127 | | -0.850*** | -0.332* | | -1.762*** | -0.787*** | | (0.086) | (0.440) | | (0.191) | (0.186) | | (0.082) | (0.090) | bus | -0.744*** | 0.299*** | | 0.521** | -0.889* | | -0.562* | -0.545*** | | (0.377) | (0.125) | | (0.087) | (0.473) | | (0.327) | (0.129) | level | 0.064 | -0.087*** | | 0.005 | 0.230 | | 0.034 | 0.049*** | | (0.064) | (0.025) | | (0.032) | (0.136) | | (0.036) | (0.011) | 样本量 | 124 | 80 | | 128 | 76 | | 168 | 36 | 自由度 | 117 | 73 | | 121 | 69 | | 159 | 27 | R2 | 0.497 | 0.552 | | 0.427 | 0.467 | | 0.325 | 0.629 |
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