Table 3 Results of the robust test.
From: The impact of China’s artificial intelligence development on urban energy efficiency
Model | (1) | (2) | (3) | (4) |
|---|---|---|---|---|
DV | EEt | EEt | EEt+1 | EEt+2 |
AI | 0.403*** | 0.051*** | 0.045*** | 0.041*** |
(17.529) | (7.007) | (6.369) | (5.775) | |
Density | 0.058* | 0.017 | 0.028** | 0.027** |
(2.012) | (1.643) | (3.008) | (2.901) | |
Structure | −1.024*** | −0.187* | −0.090 | −0.027 |
(−4.925) | (−2.040) | (−1.067) | (−0.302) | |
pgdp | 0.094** | 0.059*** | 0.066*** | 0.062*** |
(2.364) | (3.562) | (4.447) | (4.049) | |
so2 | 0.071*** | −0.013* | −0.018** | −0.017** |
(4.754) | (−2.084) | (−2.810) | (−2.424) | |
Energy | −0.841*** | −0.093*** | −0.078*** | −0.070*** |
(−34.961) | (−11.122) | (−8.850) | (−7.553) | |
Contant | 10.774*** | 1.066*** | 0.805*** | 0.742*** |
(24.969) | (6.856) | (5.159) | (4.490) | |
Province FE | YES | YES | YES | YES |
Year FE | YES | YES | YES | YES |
N | 4177 | 2900 | 3895 | 3613 |
R2 | 0.508 | 0.511 | 0.462 | 0.430 |
