互联网对中国城市内部就业分布的动态影响
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吴思栩, 孙斌栋, 张婷麟
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The dynamic impact of the Internet on intra-urban employment distribution in Chinese cities
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WU Sixu, SUN Bindong, ZHANG Tinglin
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表4 城市发展水平对互联网渗透率非线性影响的调节效应:工具变量结果
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Tab. 4 The moderating effect of urban development level on the nonlinear impact of Internet penetration rate: IV results
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变量 | 德尔塔指数 | | 基尼指数 | 经济发展水平 | 生产性服务业 | 人力资本 | 创新水平 | 经济发展水平 | 生产性服务业 | 人力资本 | 创新水平 | 渗透率(ln) | 1.449*** | 0.280** | 1.515* | 0.315*** | | 0.844*** | 0.185** | 1.033* | 0.231** | | (0.360) | (0.116) | (0.841) | (0.112) | | (0.276) | (0.091) | (0.614) | (0.092) | 渗透率二次项(ln) | -0.325*** | -0.011 | -0.142 | -0.032* | | -0.196*** | -0.008 | -0.121 | -0.029** | | (0.086) | (0.019) | (0.197) | (0.018) | | (0.060) | (0.014) | (0.149) | (0.014) | 渗透率(ln)×调节变量(ln) | -0.110** | -0.085** | -0.546 | -0.056** | | -0.062*** | -0.053* | -0.370 | -0.031* | | (0.044) | (0.043) | (0.401) | (0.025) | | (0.013) | (0.031) | (0.296) | (0.018) | 渗透率二次项(ln)×调节变量(ln) | 0.029*** | 0.018** | 0.058 | 0.013*** | | 0.012*** | 0.014** | 0.050 | 0.008** | | (0.009) | (0.009) | (0.091) | (0.004) | | (0.002) | (0.006) | (0.069) | (0.003) | 调节变量(ln) | -0.132 | 0.118* | 0.751 | 0.066* | | -0.049 | 0.061 | 0.397 | 0.034 | | (0.097) | (0.062) | (0.514) | (0.036) | | (0.049) | (0.048) | (0.394) | (0.027) | 观测值 | 747 | 744 | 747 | 744 | | 746 | 744 | 747 | 743 | R2 | 0.280 | 0.239 | 0.279 | 0.230 | | 0.269 | 0.233 | 0.267 | 0.223 |
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