## 4 Analysis of Results
As can be seen from Table 6, [PERSON]'s I index of the agricultural green development level also passed the significance test, indicating that the agricultural green development level is not randomly distributed in space but presents a significant positive spatial correlation. In general, the [PERSON]'s I value increased from 0.264 in 2006 to 0.352 in 2019, indicating that the spatial agglomeration effect of the agricultural green development level was enhanced, but there was some interannual fluctuation, and the overall spatial pattern of agricultural green development had not yet reached a steady state. Through global spatial autocorrelation, it can be found that the basic assumption of sample independence in traditional research is inconsistent with reality, so the spatial effect should be included in the econometric regression model of agricultural green development. (2) Local spatial autocorrelation analysis  
Moran scatter plots of agricultural technology R&D, agricultural technology application and agricultural green development in 2006 and 2019 are shown in Figures 9-11. It can be seen that the values in the Moran scatter plots of agricultural technology research and development, agricultural technology application and the agricultural green development level of each provincial unit in China are almost entirely distributed in the first and third quadrants, while few provinces are in the second and fourth quadrants. This finding shows that the level of agricultural science and technology innovation and the development level of green agriculture in China's provinces during the study period were mainly high-value \begin{table}
\begin{tabular}{c c c c c c c} \hline
**Years** & **Moran’s I** & **Z Statistics** & \(p\)**-Value** & **Years** & **Moran’s I** & **Z Statistics** & \(p\)**-Value** \\ \hline
2006 & 0.264 *** & 2.818 & \(\leq\)0.01 & 2013 & 0.286 *** & 3.015 & \(\leq\)0.01 \\
2007 & 0.285 *** & 3.010 & \(\leq\)0.01 & 2014 & 0.266 *** & 2.826 & \(\leq\)0.01 \\
2008 & 0.234 *** & 2.527 & \(\leq\)0.01 & 2015 & 0.217 *** & 2.382 & \(\leq\)0.01 \\
2009 & 0.298 *** & 3.135 & \(\leq\)0.01 & 2016 & 0.107 * & 1.349 & \(\leq\)0.1 \\
2010 & 0.289 *** & 3.053 & \(\leq\)0.01 & 2017 & 0.261 *** & 2.835 & \(\leq\)0.01 \\
2011 & 0.323 *** & 3.376 & \(\leq\)0.01 & 2018 & 0.306 *** & 3.267 & \(\leq\)0.01 \\
2012 & 0.296 *** & 3.123 & \(\leq\)0.01 & 2019 & 0.352 *** & 3.651 & \(\leq\)0.01 \\ \hline \end{tabular} Note: ***, * represent significance levels of 1%, and 10% in turn.  
\end{table} 
Table 6: Moran’s I test results of the global Moran index for the development level of green agriculture. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multirow{2}{*}{**Years**} & \multicolumn{4}{c}{**Agricultural Technology R\&D**} & \multicolumn{2}{c}{**Application of Agricultural Technology**} \\ \cline{2-7}  & **Moran’s I** & **Z Statistics** & \(p\)**-Value** & **Moran’s I** & **Z Statistics** & \(p\)**-Value** \\ \hline
2006 & 0.233 *** & 2.525 & \(\leq\)0.01 & 0.316 *** & 3.354 & \(\leq\)0.01 \\
2007 & 0.211 * & 2.327 & \(\leq\)0.  
agglomeration (HH) and low-value agglomeration (LL), with low-value collapse (LH) and high-value bulge (HL) as supplementary spatial distribution features. That is, provinces with higher levels of agricultural technological innovation and green agriculture have neighboring provinces with higher levels, and provinces with lower levels of agricultural technological innovation and green agriculture have neighboring provinces with lower levels. The test results mean that the level of agricultural technological innovation and agricultural green development will show a certain degree of technology spillover and diffusion effects in reality. Therefore, it is necessary to incorporate spatial spillover characteristics into the analysis of the impact of agricultural technological innovation on green agriculture. Figure 9: Moran scatter plot of agricultural technology research and development in 2006 and 2019. Figure 10: Moran scatter plot of agricultural technology application in 2006 and 2019.