Research Article
Identifying the Impact of Industrial Agglomeration on China’s Carbon Emissions Based on the Spatial Econometric Analysis
Table 4
Moran’s I statistical values of carbon emissions in 30 provinces of China from 2003 to 2019.
| Year | W1 | W2 | W3 | Moran’s I | Z-stat | value | Moran’s I | Z-stat | value | Moran’s I | Z-stat | value |
| 2003 | 0.336 | 3.017 | | 0.111 | 1.631 | 0.051 | 0.137 | 3.193 | | 2004 | 0.381 | 3.369 | | 0.112 | 1.636 | 0.051 | 0.149 | 3.393 | | 2005 | 0.380 | 3.352 | | 0.098 | 1.480 | 0.069 | 0.144 | 3.303 | | 2006 | 0.377 | 3.334 | | 0.114 | 1.655 | 0.049 | 0.156 | 3.525 | | 2007 | 0.389 | 3.435 | | 0.121 | 1.744 | 0.041 | 0.162 | 3.639 | | 2008 | 0.403 | 3.564 | | 0.140 | 1.965 | 0.025 | 0.174 | 3.881 | | 2009 | 0.403 | 3.584 | | 0.143 | 1.998 | 0.023 | 0.173 | 3.882 | | 2010 | 0.422 | 3.745 | | 0.118 | 1.722 | 0.043 | 0.152 | 3.502 | | 2011 | 0.402 | 3.615 | | 0.102 | 1.556 | 0.060 | 0.132 | 3.155 | | 2012 | 0.396 | 3.548 | | 0.131 | 1.880 | 0.030 | 0.145 | 3.387 | | 2013 | 0.376 | 3.379 | | 0.127 | 1.834 | 0.033 | 0.141 | 3.303 | | 2014 | 0.380 | 3.417 | | 0.134 | 1.911 | 0.028 | 0.142 | 3.325 | | 2015 | 0.352 | 3.192 | | 0.120 | 1.761 | 0.039 | 0.128 | 3.061 | | 2016 | 0.321 | 2.923 | | 0.119 | 1.744 | 0.041 | 0.125 | 2.990 | | 2017 | 0.297 | 2.741 | | 0.103 | 1.567 | 0.059 | 0.111 | 2.750 | | 2018 | 0.330 | 3.034 | | 0.137 | 1.966 | 0.025 | 0.136 | 3.229 | | 2019 | 0.332 | 3.047 | | 0.141 | 2.008 | 0.022 | 0.133 | 3.192 | |
|
|
, , represent significance at 1%, 5%, and 10% levels, respectively. |