Table 6
Indirect impact mechanism test 1.
| Coefficient | Bootstrap SE | P > z | 95%CI |
||
|---|---|---|---|---|---|
| LL | UL | ||||
| b1 | −0.0004 | 2.04E-05 | 0.000 | −0.0004 | −0.0003 |
| b2 | −4.9E-05 | 4.28E-06 | 0.000 | −5.7E-05 | −4.03E-05 |
| b3 | −2.3E-05 | 4.26E-06 | 0.000 | −3.1E-05 | −1.42E-05 |
| b4 | −4.4E-05 | 2.01E-05 | 0.030 | −8.3E-05 | −4.24E-06 |
| b5 | −7.1E-05 | 7.02E-06 | 0.000 | −8.5E-05 | −5.74E-05 |
Note: b1 represents the total impact of AI on carbon1 (carbon emission intensity), including both direct and indirect effects; b2 represents the indirect effect of AI on carbon1 through gr (green development level); b3 represents the indirect effect of AI on carbon1 through th (technological innovation); b4 represents the direct effect of AI on carbon1; b5 represents the total indirect effect. The results indicate that AI enhances corporate green development levels and promotes technological innovation, thereby reducing the carbon emission intensity of enterprises.
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