Research Article
Socioeconomic Drivers of Environmental Pollution in China: A Spatial Econometric Analysis
Table 6
Estimation results of spatial Durbin model with spatial specific effects.
| | | Spatial fixed effects | Spatial fixed effects bias corrected | Random spatial effects bias corrected |
| | | 0.0810 (2.9577) | 0.0800 (2.9204) | 0.0800 (2.9205) | | FD | 0.3292 (3.2263) | 0.3292 (3.2270) | 0.3292 (3.4015) | | FDI | −0.0001 (−0.0042) | −0.0001 (−0.0050) | −0.0001 (−0.0053) | | SEC | 0.2374 (2.3791) | 0.2373 (2.3780) | 0.2373 (2.5066) | | PD | −0.1251 (−2.3150) | −0.1250 (−2.3146) | −0.1250 (−2.4398) | | GDP | 0.6758 (3.2926) | 0.6759 (3.2927) | 0.6759 (3.4708) | | | −0.0376 (−3.3104) | −0.0376 (−3.3104) | −0.0376 (−3.4895) | | | 0.0857 (0.5070) | 0.0862 (0.5100) | 0.0862 (0.5374) | | | −0.0195 (−1.1330) | −0.0195 (−1.1332) | −0.0195 (−1.1945) | | | −0.2925 (−1.9925) | −0.2926 (−1.9931) | −0.2926 (−2.1009) | | | 0.0903 (0.9492) | 0.0901 (0.9475) | 0.0901 (0.9988) | | | −0.3892 (−1.1438) | −0.3883 (−1.1410) | −0.3883 (−1.2026) | | | 0.0202 (1.1467) | 0.0201 (1.1437) | 0.0201 (1.2054) | | | 0.1134 | 0.1134 | 0.1021 | | | 0.8397 | 0.8397 | 0.0234 | | | 0.0181 | 0.0181 | 0.0181 | | | −765.2388 | −765.24067 | −31185.402 | | Wald test (SAR) | 11.4533 | 10.3209 | 11.4533 | | LR test (SAR) | 11.4563 | 11.4602 | NA | | Wald (SEM) | 10.4061 | 9.3653 | 10.4061 | | LR test (SEM) | 10.4034 | 10.4075 | NA |
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Notes: T-values are in parentheses. , , and denote statistical significance levels at 10%, 5%, and 1%, respectively.
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