Research Article
Digital Economy’s Spatial Implications on Urban Innovation and Its Threshold: Evidence from China
Table 6
Results of instrumental variables estimation for impact of the digital economy on urban economy.
| Variable | Urban innovation | (1) | (2) |
| 2SLS two-stage regression results spatiallag term/space-time lag term | 2.856∗∗∗ | | | 2.585∗∗∗ | | | (8.33) | | | (5.36) | | |
| Simplified result | | 2.365∗∗∗ | | | 2.061∗∗∗ | | | (5.44) | | | (3.56) | |
| The first stage regression results | | | 0.828∗∗∗ | | | 0.797∗∗∗ | | | (21.96) | | | (16.17) |
| Control variable | Yes | Yes | Yes | Yes | Yes | Yes | Individual-FE | Yes | Yes | Yes | Yes | Yes | Yes | N | 3370 | 3370 | 3370 | 3033 | 3033 | 3033 | Adj. R-sq | 0.655 | 0.692 | 0.907 | 0.602 | 0.647 | 0.864 | KP Wald-F statistic | 1055.908 | 424.375 |
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Note. ∗∗∗, ∗∗, and ∗ represent the significance level at the 1%, 5%, and 10% levels, respectively. The numbers in brackets are the test values t.
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