Research Article
Digital Economy’s Spatial Implications on Urban Innovation and Its Threshold: Evidence from China
Table 2
Spatial autocorrelation test results of urban innovation and digital economy.
| Year | lnUI (urban innovation) | DE (digital economy) | Moran’s I | -value | Moran’s I | -value |
| 2011 | 0.471∗∗∗ | 0.001 | 0.258∗∗∗ | 0.001 | 2012 | 0.476∗∗∗ | 0.001 | 0.214∗∗∗ | 0.001 | 2013 | 0.484∗∗∗ | 0.001 | 0.257∗∗∗ | 0.001 | 2014 | 0.474∗∗∗ | 0.001 | 0.251∗∗∗ | 0.001 | 2015 | 0.472∗∗∗ | 0.001 | 0.252∗∗∗ | 0.001 | 2016 | 0.461∗∗∗ | 0.001 | 0.244∗∗∗ | 0.001 | 2017 | 0.456∗∗∗ | 0.001 | 0.258∗∗∗ | 0.001 | 2018 | 0.471∗∗∗ | 0.001 | 0.231∗∗∗ | 0.001 | 2019 | 0.464∗∗∗ | 0.001 | 0.185∗∗∗ | 0.001 | 2020 | 0.436∗∗∗ | 0.001 | 0.148∗∗∗ | 0.001 |
|
|
Note. ∗∗∗, ∗∗, and ∗ represent the significance level at the 1%, 5%, and 10% levels, respectively.
|