Table 2 Global autocorrelation analysis of agricultural carbon emissions intensity in China.
Year | Moran’s I | Z_values | P_values | Year | Moran’s I | Z_values | P_values |
|---|---|---|---|---|---|---|---|
2001 | 0.386 | 3.641 | 0.000 | 2012 | 0.193 | 1.961 | 0.050 |
2002 | 0.377 | 3.565 | 0.000 | 2013 | 0.192 | 1.956 | 0.050 |
2003 | 0.367 | 3.480 | 0.001 | 2014 | 0.207 | 2.088 | 0.037 |
2004 | 0.339 | 3.234 | 0.001 | 2015 | 0.225 | 2.240 | 0.025 |
2005 | 0.308 | 2.963 | 0.003 | 2016 | 0.295 | 2.871 | 0.004 |
2006 | 0.288 | 2.788 | 0.005 | 2017 | 0.298 | 2.903 | 0.004 |
2007 | 0.286 | 2.753 | 0.005 | 2018 | 0.286 | 2.797 | 0.005 |
2008 | 0.217 | 2.183 | 0.029 | 2019 | 0.321 | 3.102 | 0.002 |
2009 | 0.249 | 2.450 | 0.014 | 2020 | 0.323 | 3.129 | 0.002 |
2010 | 0.224 | 2.246 | 0.025 | 2021 | 0.312 | 3.058 | 0.002 |
2011 | 0.194 | 1.984 | 0.047 | 2022 | 0.276 | 2.730 | 0.006 |
