Comparison of regression results before and after excluding data from 2020
| (1) Before elimination | (2) After elimination | |
|---|---|---|
| Variable name | lnexpy | lnexpy |
| Agglomeration level (lei) | 58.135*** (4.379) | 57.903*** (3.943) |
| Forest coverage rate (cover) | 0.516 (0.174) | 0.548 (0.170) |
| Production efficiency (production) | –0.118*** (–2.876) | –0.115** (–2.555) |
| External dependence (foreign) | 16.619 (0.223) | 7.520 (0.092) |
| Investment in fixed assets of forestry (invest) | 9.925* (1.884) | 7.372 (1.237) |
| Forestry practitioners (personnel) | –0.000 (–0.758) | –0.000 (–0.661) |
| _cons | –23.669 (–0.194) | 5.526 (0.041) |
| N | 270.000 | 243.000 |
| r2 | 0.092 | 0.078 |
| r2_a | –0.031 | –0.062 |
| (1) Before elimination | (2) After elimination | |
|---|---|---|
| Variable name | ||
| Agglomeration level ( | 58.135 | 57.903 |
| Forest coverage rate ( | 0.516 (0.174) | 0.548 (0.170) |
| Production efficiency ( | –0.118 | –0.115 |
| External dependence ( | 16.619 (0.223) | 7.520 (0.092) |
| Investment in fixed assets of forestry ( | 9.925 | 7.372 (1.237) |
| Forestry practitioners ( | –0.000 (–0.758) | –0.000 (–0.661) |
| _cons | –23.669 (–0.194) | 5.526 (0.041) |
| N | 270.000 | 243.000 |
| r2 | 0.092 | 0.078 |
| r2_a | –0.031 | –0.062 |
*, **, *** represent the significance levels of 10, 5, and 1% respectively. Values in parentheses are t-values.
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