Table 10.
Robustness checks by controlling for disruptive policies.
| (1) | (2) | (3) | (4) | (5) | (6) | |
|---|---|---|---|---|---|---|
| Smart cities | Low-carbon cities | Forest cities | APPCAP | Broadband China | All policies | |
| DFI*Post13 | −0.0639*** | −0.0611*** | −0.0598*** | −0.0629*** | −0.0642*** | −0.0707*** |
| (0.0202) | (0.0191) | (0.0189) | (0.0189) | (0.0192) | (0.0204) | |
| Baseline controls | Yes | Yes | Yes | Yes | Yes | Yes |
| City FE | Yes | Yes | Yes | Yes | Yes | Yes |
| Year FE | Yes | Yes | Yes | Yes | Yes | Yes |
| Province-by-year FE | Yes | Yes | Yes | Yes | Yes | Yes |
| Adjusted R2 | 0.9769 | 0.9769 | 0.9769 | 0.9770 | 0.9770 | 0.9771 |
| N | 1921 | 1921 | 1921 | 1921 | 1921 | 1921 |
***
represent the significant levels of 1%. Parentheses indicate standard errors clustered at the city level. The baseline control variables are consistent with column (4) in Table 2.