Resources Science ›› 2020, Vol. 42 ›› Issue (4): 790-800.doi: 10.18402/resci.2020.04.16
SHAO Hanhua1,2, XIA Haibo2
Received:
2019-07-11
Revised:
2019-10-13
Online:
2020-04-25
Published:
2020-06-25
SHAO Hanhua, XIA Haibo. The impact of urban sprawl on green total factor productivity in China[J].Resources Science, 2020, 42(4): 790-800.
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Table 1
Threshold effect significance test of urban sprawl"
因变量 | 门槛数 | F值 | P值 | 门槛估计值 | 临界值 | ||
---|---|---|---|---|---|---|---|
1% | 5% | 10% | |||||
绿色全要素生产率 | 单一 | 11.975 | 0.114 | 0.168 | 19.569 | 14.820 | 12.645 |
双重 | 5.977** | 0.033 | 0.960 | 9.158 | 5.185 | 3.328 | |
三重 | -1.204 | 0.650 | 5.534 | 4.211 | 3.127 | ||
绿色技术效率 | 单一 | 6.094 | 0.205 | 0.832 | 13.502 | 9.454 | 7.966 |
双重 | 4.270** | 0.019 | 0.833 | 5.201 | 2.838 | 2.107 | |
三重 | 6.143** | 0.028 | 0.915 | 9.890 | 4.698 | 3.025 | |
绿色技术进步 | 单一 | 39.327*** | 0.005 | 0.902 | 36.977 | 30.800 | 28.423 |
双重 | 7.468** | 0.022 | 0.906 | 8.636 | 6.092 | 4.885 | |
三重 | 5.381* | 0.095 | 0.970 | 9.871 | 7.083 | 5.249 |
Table 2
Urban sprawl and threshold effect of green total factor productivity"
变量 | 绿色全要素生产率 | 绿色技术进步 | 绿色技术效率 | 蔓延指标替换 | 非国家中心城市 |
---|---|---|---|---|---|
模型1 | 模型2 | 模型3 | 模型4 | 模型5 | |
pgdp | 0.055** (9.46) | -0.021*** (-2.57) | 0.010 (1.16) | 0.064*** (9.13) | 0.067*** (9.35) |
serv | -0.001 (-1.41) | 0.001 (1.61) | -0.002** (-2.37) | -0.003*** (-3.91) | -0.003*** (-3.69) |
goin | 0.124 (0.08) | 1.631 (0.78) | 0.760 (0.33) | 0.159 (0.09) | 0.705 (0.38) |
fdi | 0.229 (1.13) | -0.390 (-1.34) | 0.107 (0.34) | 0.440* (1.77) | 0.485* (1.91) |
sprawl_1 | 0.443** (2.26) | -0.079*** (-5.91) | 0.006 (0.37) | -0.020 (-1.61) | 0.482** (2.01) |
sprawl_2 | -0.021** (-2.34) | 0.044 (1.07) | 0.198*** (2.86) | 0.118* (1.77) | -0.029** (-2.83) |
sprawl_3 | 0.004 (0.99) | -0.048*** (-3.38) | 0.034** (2.31) | 0.703*** (8.61) | 0.003 (0.87) |
sprawl_4 | 0.004 (0.93) | -0.005 (-1.05) | 0.0002 (0.16) | ||
Constant | 0.501*** (8.89) | 1.246*** (15.30) | 0.982*** (11.05) | 0.464*** (6.66) | 0.439*** (6.23) |
Table 3
Threshold effect significance test of regional population agglomeration"
区域 | 门槛数 | F值 | P值 | 门槛估 计值 | 临界值 | ||
---|---|---|---|---|---|---|---|
1% | 5% | 10% | |||||
东部 | 单一 | 11.139*** | 0.003 | 0.698 | 9.339 | 5.038 | 3.614 |
双重 | 9.705** | 0.023 | 3.588 | 12.289 | 6.580 | 4.247 | |
三重 | 8.821** | 0.033 | 3.978 | 13.200 | 7.644 | 5.386 | |
中部 | 单一 | 2.988* | 0.067 | 0.470 | 6.343 | 3.318 | 2.417 |
双重 | 0.286 | 0.523 | 5.721 | 3.190 | 2.117 | ||
三重 | 1.679 | 0.283 | 7.960 | 5.133 | 4.238 | ||
西部 | 单一 | 4.080* | 0.100 | 0.311 | 12.725 | 7.217 | 4.097 |
双重 | 9.802** | 0.040 | 0.784 | 15.159 | 8.230 | 6.068 | |
三重 | 4.811** | 0.043 | 1.156 | 34.055 | 4.475 | 2.456 |
Table 4
Regression results of regional population agglomeration threshold"
变量 | 东部 | 中部 | 西部 |
---|---|---|---|
模型1 | 模型2 | 模型3 | |
pgdp | 0.086*** (5.98) | 0.080*** (7.36) | 0.056*** (3.93) |
serv | -0.004*** (-3.29) | 0.001 (0.99) | -0.005*** (-3.07) |
goin | -2.463 (-0.88) | -2.274 (-0.67) | 2.584 (0.76) |
fdi | 0.389 (1.25) | 0.281 (0.67) | 0.543 (0.55) |
sprawl_1 | 0.066*** (3.25) | -0.069* (-1.76) | -0.150* (-1.75) |
sprawl_2 | 0.009 (1.42) | -0.005 (-0.73) | 0.030 (1.24) |
sprawl_3 | 0.350*** (4.46) | -0.090*** (-3.13) | |
sprawl_4 | 0.056 (0.63) | 0.001 (0.16) | |
Constant | 0.271** (1.97) | 0.176* (1.66) | 0.656*** (4.53) |
Table 5
Significance test of threshold effect of economic agglomeration"
门槛变量 | 门槛数 | F值 | P值 | 门槛估计值 | 临界值 | ||
---|---|---|---|---|---|---|---|
1% | 5% | 10% | |||||
经济集聚 | 单一 | 8.997** | 0.012 | 88000 | 10.010 | 5.453 | 3.867 |
双重 | 10.381*** | 0.004 | 340000 | 8.789 | 3.940 | 2.387 | |
三重 | 7.265** | 0.018 | 490000 | 10.207 | 3.652 | 2.566 | |
制造业集聚 | 单一 | 16.297*** | 0.000 | 46000 | 10.682 | 7.749 | 5.104 |
双重 | 6.497** | 0.020 | 53000 | 8.063 | 5.061 | 3.985 | |
三重 | 9.916** | 0.012 | 140000 | 10.303 | 5.507 | 3.980 | |
服务业集聚 | 单一 | 5.304** | 0.018 | 34000 | 6.771 | 3.910 | 2.598 |
双重 | 2.853* | 0.064 | 35000 | 10.474 | 3.297 | 1.901 | |
三重 | 2.224 | 0.110 | 8.221 | 4.007 | 2.397 |
Table 6
Regression results of economic agglomeration threshold"
经济集聚 | 制造业集聚 | 服务业集聚 | |
---|---|---|---|
模型1 | 模型2 | 模型3 | |
pgdp | 0.062*** (8.29) | 0.067*** (8.88) | 0.061*** (8.31) |
serv | -0.002*** (-3.19) | -0.002*** (-3.17) | -0.002*** (-3.40) |
goin | -0.295 (-0.16) | -0.184 (-0.10) | -0.059 (-0.03) |
fdi | 0.472* (1.89) | 0.473* (1.89) | 0.478* (1.90) |
sprawl_1 | -0.009 (-1.50) | -0.006 (-0.94) | -0.007 (-1.17) |
sprawl_2 | 0.009* (1.95) | 0.052*** (3.49) | 0.139* (1.78) |
sprawl_3 | -0.090*** (-3.05) | 0.007 (1.49) | 0.008 (1.64) |
sprawl_4 | 0.177** (2.06) | -0.058*** (-3.34) | |
Constant | 0.470*** (6.41) | 0.421*** (5.76) | 0.478*** (6.53) |
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