## 4 Results and Analysis  
### Comprehensive Level Measurement of Each System  
To enhance the comprehension of the evolving patterns exhibited by each indicator, the comprehensive development index of the two systems in the coastal region is evaluated using linear weighting. Subsequently, an analysis is conducted to assess the comprehensive development level of the two systems, utilizing this index as a basis. Table 4 and Figure 1 present the comprehensive development index of scientific and technical innovation, while Table 5 and Figure 2 depict the comprehensive ecological environment in the coastal area from 2010 to 2020. Figure 1: Change trend of the comprehensive development index of scientific and technological innovation in coastal areas from 2010 to 2020. \begin{table}
\begin{tabular}{c c c} \hline \hline
**Accuracy Level** & \(\mathbf{p}\) **Value** & \(\mathbf{C}\) **Value** \\ \hline good & \(p\geq 0.95\) & \(C\leq 0.35\) \\ qualified & \(0.80\leq p<0.95\) & \(0.35<C\leq 0.50\) \\ reluctantly & \(0.70\leq p<0.80\) & \(0.50<C\leq 0.65\) \\ failed & \(p<0.7\) & \(C>0.65\) \\ \hline \hline \end{tabular} Note: The prediction accuracy of the GM (1, 1) gray model can be divided into four levels according to the posterior difference ratio \(C\) and the small error probability \(p\): (\(\mathbb{D}\) When \(C\leq 0.35\) and \(p\geq 0.95\), the prediction accuracy is excellent; (\(\mathbb{D}\) 0.35 \(<C\leq 0.50\), 0.95 \(>p\geq 0.80\), the prediction accuracy is qualified; (\(\mathbb{D}\) 0.50 \(<C\leq 0.65\), \(p\geq 0.70\), the prediction accuracy is barely qualified; (\(\mathbb{D}\) 0.65, \(p<0.70\), the prediction accuracy is unqualified.  
\end{table} 
Table 3: Accuracy classification of GM (1, 1) prediction model. As can be seen from Table 4 and Figure 1, (1) overall, the comprehensive development level of scientific and technological innovation in coastal areas basically maintained a stable upward trend from 2010 to 2020. This shows that while maintaining an excellent economic and technological foundation, the comprehensive development level of science and technological advancement in coastal areas has market vitality and huge development potential. Among them, Fujian, Shandong, Hainan, and Guangxi continued to maintain steady growth, with slow and steady growth rates. The level of scientific and technological innovation in coastal areas is also consistent with the development level of science and technological innovation in coastal areas. \begin{table}
\begin{tabular}{c c c c c c c c c c c c} \hline \hline
**Province** & **2010** & **2011** & **2012** & **2013** & **2014** & **2015** & **2016** & **2017** & **2018** & **2019** & **2020** \\ \hline Tianjin & 0.064 & 0.065 & 0.075 & 0.084 & 0.086 & 0.092 & 0.089 & 0.082 & 0.085 & 0.096 & 0.105 \\ Hebei & 0.041 & 0.043 & 0.050 & 0.051 & 0.057 & 0.063 & 0.071 & 0.069 & 0.080 & 0.082 & 0.103 \\ Liaoning & 0.077 & 0.078 & 0.082 & 0.086 & 0.084 & 0.082 & 0.088 & 0.093 & 0.085 & 0.089 & 0.099 \\ Shanghai & 0.155 & 0.156 & 0.169 & 0.185 & 0.217 & 0.190 & 0.198 & 0.214 & 0.223 & 0.232 & 0.245 \\ Jiangsu & 0.248 & 0.270 & 0.313 & 0.326 & 0.335 & 0.358 & 0.366 & 0.352 & 0.377 & 0.394 & 0.584 \\ Zhejiang & 0.162 & 0.149 & 0.173 & 0.186 & 0.196 & 0.208 & 0.219 & 0.233 & 0.257 & 0.280 & 0.400 \\ Fujian & 0.055 & 0.059 & 0.068 & 0.075 & 0.080 & 0.088 & 0.095 & 0.104 & 0.121 & 0.130 & 0.161 \\ Shandong & 0.117 & 0.127 & 0.149 & 0.156 & 0.169 & 0.181 & 0.184 & 0.175 & 0.181 & 0.188 & 0.241 \\ Guangdong & 0.258 & 0.260 & 0.288 & 0.312 & 0.324 & 0.364 & 0.397 & 0.399 & 0.523 & 0.554 & 0.944 \\ Guangxi & 0.032 & 0.034 & 0.043 & 0.045 & 0.042 & 0.046 & 0.049 & 0.047 & 0.049 & 0.053 & 0.057 \\ Hainan & 0.000 & 0.001 & 0.003 & 0.004 & 0.003 & 0.004 & 0.006 & 0.005 & 0.007 & 0.008 & 0.011 \\ Average & 1.209 & 1.242 & 1.412 & 1.510 & 1.595 & 1.677 & 1.763 & 1.773 & 1.988 & 2.105 & 2.950 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Comprehensive development index of scientific and technological innovation in coastal areas from 2010 to 2020.