Research Article
Spatial-Temporal Evolution and Influencing Factors of Urban Green Innovation Efficiency in China
Table 5
Regression results of the spatial Durbin model.
| Variable | Coefficient | t-stat | z-probability |
| FDI | 0.0256 | 2.5436 | 0.0110 | ER | −0.0245 | −0.7399 | 0.4594 | FD | 0.1526 | 1.9676 | 0.0491 | KISA | 0.0349 | 0.9646 | 0.3347 | MIA | 0.1083 | 2.3697 | 0.0178 | WFDI | −0.1011 | −1.0990 | 0.2718 | WER | 0.9841 | 2.0431 | 0.0410 | WFD | −0.1312 | −0.4540 | 0.6499 | WKISA | −0.1089 | −1.6126 | 0.1068 | WMIA | 0.0776 | 0.3066 | 0.7591 | Wdep.var | 0.7910 | 19.8280 | 0.0000 | R | 0.6764 | | | sigma^2 | 0.0423 | | |
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