Table 5
Benchmark analysis.
| (1) |
(2) |
(3) |
(4) |
(5) |
|
|---|---|---|---|---|---|
| carbon1 | carbon1 | carbon1 | carbon1 | carbon1 | |
| AI | −0.0009*** | −0.0004*** | −0.0009*** | −0.0011*** | −0.0011*** |
| (0.000) | (0.000) | (0.000) | (0.000) | (0.000) | |
| AI2 | 0.0000*** | 0.0000*** | 0.0000*** | ||
| (0.000) | (0.000) | (0.000) | |||
| AI3 | −0.0000*** | −0.0000*** | |||
| (0.000) | (0.000) | ||||
| CV | NO | YES | YES | YES | YES |
| FE | YES | YES | YES | YES | YES |
| N | 30920 | 30900 | 30900 | 30900 | 30900 |
| R2 | 0.2576 | 0.3339 | 0.3356 | 0.3358 | 0.3358 |
Note: *, **, and ***denote statistical significance at the 10%, 5%, and 1% levels, respectively. CV stands for “Control Variables”. Column (1) presents the regression results without control variables; Column (2) presents the results with added control variables; Column (3) presents the results with the addition of the quadratic term for AI; Column (4) presents the results with the addition of both the quadratic and cubic terms for AI; Column (5) presents the results with the addition of both the quadratic and cubic terms for AI, and cluster-robust standard errors are used to obtain more robust standard errors. From the regression results, the AI development level has a significant negative impact on carbon emission intensity.
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