空气污染对城市活力的影响及其建成环境异质性——基于大数据的分析
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王波, 甄峰, 张姗琪, 黄学锋, 周亮
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The impact of air pollution on urban vibrancy and its built environment heterogeneity: An empirical analysis based on big data
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WANG Bo, ZHEN Feng, ZHANG Shanqi, HUANG Xuefeng, ZHOU Liang
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表2 基本面板及空间面板回归模型结果
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Tab. 2 Results of the basic panel regression and spatial panel regression models
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变量 | 模型1 | | 模型2 | | 模型3 | | 模型4 | | 模型5 | | 模型6 | Coef. | S.E. | Coef. | S.E. | Coef. | S.E. | Coef. | S.E. | Coef. | S.E. | Coef. | S.E. | AQI | -0.105*** | 0.008 | | -0.097*** | 0.008 | | -0.104*** | 0.008 | | -0.344*** | 0.047 | | -0.313*** | 0.047 | | -0.310*** | 0.047 | AQI*d | -0.035* | 0.017 | -0.033* | 0.016 | -0.035* | 0.017 | -0.048** | 0.017 | -0.045** | 0.017 | -0.048** | 0.018 | 风速 | -0.583*** | 0.126 | -0.539*** | 0.126 | -0.577*** | 0.136 | -0.542*** | 0.126 | -0.504*** | 0.126 | -0.537*** | 0.134 | 气温 | 0.831*** | 0.110 | 0.765*** | 0.110 | 0.819*** | 0.119 | 0.765*** | 0.110 | 0.709*** | 0.110 | 0.757*** | 0.118 | (气温)2 | -0.012*** | 0.003 | -0.011*** | 0.003 | -0.012*** | 0.003 | -0.011*** | 0.003 | -0.010** | 0.003 | -0.011** | 0.003 | 降水 (非暴雨=ref.) | -2.177*** | 0.334 | -2.010*** | 0.334 | -2.146*** | 0.356 | -2.081*** | 0.335 | -1.935*** | 0.334 | -2.056*** | 0.355 | 日期 (非工作日=ref.) | 0.999** | 0.383 | 0.921* | 0.382 | 0.994* | 0.413 | 0.944* | 0.382 | 0.877* | 0.381 | 0.941* | 0.409 | AQI×POI密度 | — | — | — | — | — | — | -0.0001** | 0.000 | -0.000** | 0.000 | -0.000** | 0.000 | AQI×地铁站密度 | — | — | — | — | — | — | 0.030*** | 0.006 | 0.030*** | 0.006 | 0.030*** | 0.006 | AQI×交叉口密度 | — | — | — | — | — | — | 0.001* | 0.000 | 0.001* | 0.000 | 0.001* | 0.000 | AQI×区位 | — | — | — | — | — | — | -0.002*** | 0.000 | -0.002*** | 0.000 | -0.002*** | 0.000 | AQI×用地混合度 | — | — | — | — | — | — | 0.301*** | 0.053 | 0.274*** | 0.053 | 0.262*** | 0.053 | | — | — | 0.076*** | 0.007 | 0.076*** | 0.007 | — | — | 0.070*** | 0.007 | 0.068*** | 0.007 | 街道固定效应 | 控制 | 季节固定效应 | 控制 | 天固定效应 | 控制 | N | 54750 | | 模型拟合度 | Adjusted R2 | 0.086 | | 0.090 | | 0.086 | | 0.256 | | 0.265 | | 0.264 | AIC | 562419.900 | | 562294.100 | | 562296.200 | | 562241.700 | | 562138.800 | | 562144.600 | Log-likelihood | -281199.000 | | -281135.100 | | -281136.100 | | -281104.900 | | -281052.400 | | -281055.300 |
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