Research Article
The Impacts of High-Speed Railway on Urban GDP and Its Agglomeration: Evidence from China
Table 6
The regression results of the second and third methods.
| Dependent variables | | | | (1) | (2) | (3) | (4) | (5) | (6) |
| | 320.954 (0.000) | | 0.041 (0.000) | | 0.142 (0.000) | | | | 110.876 (0.000) | | 0.016 (0.000) | | | | | | | | | 0.009 (0.649) | Control variables | Yes | Yes | Yes | Yes | Yes | Yes | and | Yes | Yes | Yes | Yes | Yes | Yes | Constant | 615.902 (0.000) | −967.040 (0.098) | | −0.761 (0.000) | | 1.060 (0.059) | overall | 0.074 | 0.513 | 0.035 | 0.003 | 0.852 | 0.000 | within | 0.116 | 0.753 | 0.043 | 0.482 | 0.782 | 0.362 | between | 0.079 | 0.456 | 0.051 | 0.018 | 0.869 | 0.003 | City | 30 | 30 | 30 | 30 | 30 | 30 | Year | 10 | 10 | 10 | 10 | 10 | 10 | Observations | 300 | 300 | 300 | 300 | 300 | 300 |
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