Research Article
Identifying the Impact of Industrial Agglomeration on China’s Carbon Emissions Based on the Spatial Econometric Analysis
Table 5
Spatial panel econometric results of the influence of SA and DA on carbon emissions.
| Variable | W1 | W2 | W3 | (1) | (2) | (3) | (4) | (5) | (6) |
| L.lnCE | 0.969 | 1.022 | 0.965 | 0.999 | 0.973 | 0.989 | (0.022) | (0.021) | (0.023) | (0.021) | (0.023) | (0.021) | W × L.lnCE | −0.231 | −0.192 | −0.263 | −0.273 | −0.350 | −0.309 | (0.068) | (0.069) | (0.089) | (0.089) | (0.150) | (0.149) | W × lnCE | 0.287 | 0.305 | 0.356 | 0.396 | 0.558 | 0.672 | (0.062) | (0.062) | (0.084) | (0.082) | (0.141) | (0.135) | lnSA | 0.091 | | 0.087 | | 0.065 | | (0.040) | | (0.037) | | (0.038) | | lnDA | | −0.013 | | −0.020 | | −0.018 | | (0.008) | | (0.007) | | (0.007) | lnpgdp | 0.004 | 0.008 | 0.004 | 0.014 | −0.005 | −0.004 | (0.031) | (0.032) | (0.031) | (0.032) | (0.032) | (0.032) | lner | 0.054 | 0.054 | 0.048 | 0.041 | 0.049 | 0.043 | (0.021) | (0.021) | (0.021) | (0.021) | (0.021) | (0.021) | [lner]2 | −0.006 | −0.007 | −0.006 | −0.005 | −0.006 | −0.005 | (0.003) | (0.003) | (0.003) | (0.003) | (0.003) | (0.003) | ur | −0.428 | −0.552 | −0.395 | −0.466 | −0.386 | −0.409 | (0.148) | (0.150) | (0.150) | (0.151) | (0.150) | (0.151) | lninf | −0.087 | −0.116 | −0.077 | −0.088 | −0.079 | −0.090 | (0.023) | (0.024) | (0.023) | (0.023) | (0.023) | (0.023) | Log-likelihood | 875.111 | 860.107 | 877.054 | 870.349 | 876.962 | 870.310 | Obs | 510 | 510 | 510 | 510 | 510 | 510 |
|
|
Standard errors are reported in parentheses. , , and represent significance at 1%, 5%, and 10% levels, respectively. |