Research Article
Variable Selection of High-Dimensional Spatial Autoregressive Panel Models with Fixed Effects
Table 5
Different models fitting China’s carbon emission dataset.
| Coefficient | SARPF | PF | SCAD | ALASSO | Nonpenalty | SCAD | ALASSO | Nonpenalty |
| | 0.2080 | 0.2000 | 0.2065 | 0.0000 | 0.0000 | 0.0000 | -PU | 0.2385 | 0.1978 | 0.2231 | 0.0000 | 0.0000 | 0.0672 | -EC | 0.3476 | 0.3457 | 0.3434 | 0.3648 | 0.3674 | 0.3530 | -EI | 0.5908 | 0.5942 | 0.6006 | 0.6416 | 0.6397 | 0.6847 | -SU | 0.0000 | 0.0000 | 0.0243 | 0.0000 | 0.0000 | 0.0191 | -GDP | 0.1327 | 0.1514 | 0.1413 | 0.2428 | 0.2448 | 0.2275 | -P | 0.2222 | 0.2016 | 0.2354 | 0.1893 | 0.1798 | 0.2736 | -IPC | 0.0668 | 0.0659 | 0.0680 | 0.0810 | 0.0789 | 0.0835 | -FIEISE | −0.0288 | −0.0249 | −0.0311 | 0.0000 | 0.0000 | −0.0292 | -VFT | 0.0000 | 0.0000 | 0.0063 | 0.0000 | 0.0000 | 0.0235 | -PITI | 0.0000 | 0.0000 | −0.0282 | 0.0000 | 0.0000 | 0.0269 | R square | 0.8410 | 0.8413 | 0.8413 | 0.8245 | 0.8244 | 0.8299 |
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1SARPF: SARP model with fixed effects and PF: panel model with fixed effects.
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