## 4 Analysis of Results
#### 4.2.3 Analysis of Spatial Panel Measurement Results Based on Economic Matrix  
Combining the results of the Hausman test, the LM test, the robust LM test, the LR test and the Wald test, we can see that under the condition of the economic matrix, the fixed-effect spatial Dubin model (SDM) should be used to study the impact of agricultural technological innovation on agricultural green development. On this basis, agricultural technological innovation and green agricultural development from the three fixed effects--time fixation, individual fixation and double fixation--were further analyzed, and its spatial effects were decomposed (Tables 11-13). The regression results show that regardless of whether the core explanatory variable is agricultural technology research and development or agricultural technology application, the goodness-of-fit R\({}^{2}\) value under the fixed time effect is the largest. Therefore, the spatial Dubin model under the fixed time effect was selected to analyze the impact of agricultural technology innovation on green agriculture and the spatial spillover effect of development. According to Table 11, the main body regression results and spatial lag term regression results of the spatial Durbin model under the economic matrix show that, on the one hand, agricultural science and technology innovation has a significant promoting effect on agricultural green development in this province. Specifically, agricultural technology R&D and agricultural technology application are both positively correlated with green agricultural development at a significance level of 1%, and the regression coefficients are 0.0367 and 0.0128, respectively, indicating that each one-unit increase in the two variables of agricultural technology R&D and agricultural technology application will have a positive effect of 0.0367 and 0.0128 percentage points, respectively, on agricultural green development in this province. On the other hand, the agricultural science and technology innovation in neighboring provinces has a positive effect on agricultural green development in this province. Specifically, agricultural technology R&D and agricultural technology application in neighboring provinces are positively correlated with agricultural green development in the province at a significance level of 5%, and the regression coefficients are \begin{table}
\begin{tabular}{c c c c c} \hline \hline \multirow{2}{*}{**Wald Test**} & \multicolumn{2}{c}{**Agricultural Technology R\&D**} & \multicolumn{2}{c}{**Application of Agricultural Technology**} \\ \cline{2-5}  & **chi2(6)** & **Prob \textgreater{} chi2** & **chi2(6)** & **Prob \textgreater{} chi2** \\ \hline test sdm slm & 56.36 *** & \(\leq\)0.0001 & 95.00 *** & \(\leq\)0.0001 \\ testnl sdm sem & 56.27 *** & \(\leq\)0.0001 & 96.86 *** & \(\leq\)0.0001 \\ \hline \hline \end{tabular} Note: *** represent significance levels of 1% in turn.  
\end{table} 
Table 10: Wald test of the regression results of agricultural science and technology innovation and green agricultural development under the economic matrix. \begin{table}
\begin{tabular}{c c c c c} \hline \hline \multirow{2}{*}{**LR Test**} & \multicolumn{2}{c}{**Agricultural Technology R\&D**} & \multicolumn{2}{c}{**Application of Agricultural Technology**} \\ \cline{2-5}  & **LR chi2(6)** & **Prob \textgreater{} chi2** & **LR chi2(6)** & **Prob \textgreater{} chi2** \\ \hline LRtest sdm\_a slm\_a & 83.47 *** & \(\leq\)0.0001 & 95.95 *** & \(\leq\)0.0001 \\ LRtest sdm\_a sem\_a & 82.73 *** & \(\leq\)0.0001 & 94.39 *** & \(\leq\)0.0001 \\ \hline \hline \end{tabular} Note: *** represent significance levels of 1% in turn.  
\end{table} 
Table 9: LR test of the regression results of agricultural technological innovation and green agricultural development under the economic matrix.