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1 OLS回归结果
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Tab.1 Results of ordinary least squares (OLS) regression
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变量 | 模型一 | 模型二 | y | y1 | y2 | y3 | | y | y1 | y2 | y3 | size | 0.517*** | 0.226*** | 0.078 | 0.535*** | 0.552*** | 0.251** | 0.088 | 0.556*** | | (0.115) | (0.093) | (0.150) | (0.163) | (0.123) | (0.129) | (0.148) | (0.149) | concen | 0.492*** | 0.476*** | 0.090* | 0.155* | | | | | | (0.103) | (0.088) | (0.098) | (0.094) | | | | | dense | | | | | 0.249*** | 0.051 | 0.127* | 0.287*** | | | | | | (0.116) | (0.117) | (0.170) | (0.105) | scnd | -0.359*** | -0.453*** | -1.070*** | 0.365*** | -0.143* | -0.233*** | -1.035*** | 0.420*** | | (0.121) | (0.096) | (0.156) | (0.110) | (0.109) | (0.095) | (0.150) | (0.098) | thrd | -0.293*** | -0.370*** | -0.960*** | 0.346*** | -0.086* | -0.126* | -0.941*** | 0.363*** | | (0.126) | (0.102) | (0.164) | (0.113) | (0.124) | (0.110) | (0.155) | (0.107) | road | -0.106 | -0.356** | -0.138* | 0.292*** | -0.205* | -0.451*** | -0.157* | 0.259*** | | (0.175) | (0.188) | (0.157) | (0.067) | (0.172) | (0.189) | (0.153) | (0.062) | bus | -0.010 | -0.217* | -0.018 | -0.233*** | -0.075 | -0.275* | -0.004 | -0.207*** | | (0.194) | (0.234) | (0.181) | (0.069) | (0.170) | (0.204) | (0.176) | (0.074) | level | -0.085*** | -0.025* | -0.142*** | -0.051* | -0.055* | -0.016 | -0.128*** | -0.018 | | (0.036) | (0.031) | (0.050) | (0.034) | (0.042) | (0.034) | (0.053) | (0.035) | _cons | 0.658*** | 0.812*** | 1.608*** | -0.160** | 0.486*** | 0.642*** | 1.578*** | -0.211*** | | (0.105) | (0.081) | (0.141) | (0.096) | (0.099) | (0.083) | (0.136) | (0.089) | 样本量 | 204 | 204 | 204 | 204 | 204 | 204 | 204 | 204 | R2 | 0.345 | 0.398 | 0.338 | 0.311 | 0.218 | 0.228 | 0.338 | 0.319 |
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