Research Article
A Novel Efficiency Measure Model for Industrial Land Use Based on Subvector Data Envelope Analysis and Spatial Analysis Method
Table 2
Results of OLS estimation and spatial correlation testing.
| Variable | Model 1
| Variable | Model 2
| Spatial fixed | Time fixed | Double fixed | Spatial fixed | Time fixed | Double fixed |
| IDL | | | | IOVP | 0.088 | | 0.197 | | | | | HTP | | | | | | | | ISD | | 0.041 | | GPRR | | | | GPRR | 0.011 | | | BMP | 0.002 | | | BMP | | | | FNP | 0.029 | | | FNP | 0.036 | | 0.051 | R2 | 0.033 | 0.656 | 0.106 | R2 | 0.068 | 0.570 | 0.075 | Durbin-Watson | 1.887 | 2.270 | 2.073 | Durbin-Watson | 2.003 | 2.434 | 2.010 | LM-lag | 0.490 | | | LM-lag | 0.232 | | | Robust LM-lag | 0.520 | 1.012 | | Robust LM-lag | 1.515 | | 0.980 | LM-error | 0.657 | | | LM-error | 0.514 | 0.316 | | Robust LM-error | 0.687 | 0.436 | | Robust LM-error | 1.796 | | 1.900 | Spatial fixation effect LR-test | | | | Spatial fixation effect LR-test | | | | Time fixation effect LR-test | | | | Time fixation effect LR-test | | | |
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Note. , , and denote statistical significance at the levels of 1%, 5%, and 10%, respectively.
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