## 4 Data Testing and Analysis
### Testing and Analysis  
We use data from 2001-2006 to test our model. We could draw the conclusion that our model could fit the approximating trend of the two predicted measures. In Table 8, we list the sensitivity of the input factors and predicted measures from 2002 to 2006. From Table 8, we could draw a conclusion that in 2002-2003 the oil consumption was the critical factor and in 2004-2006 CO\({}_{2}\) content was the critical factor. In our model, CO\({}_{2}\) denotes environmental change and oil consumption could represent resource consumption. In 2002, oil consumption was a positive factor in relation to the rapid increasing of GDP, but strengthened the morbidity rate. In the last five years, the government has adopted several policies to tackle environmental deterioration. However, it must be noticed that GDP increasing is also based on resource consumption. In the meantime, excessive resource consumption has brought about an \begin{table}
\begin{tabular}{c c c c c c} \hline \hline \multicolumn{2}{c}{**Analysis of Sensitivity**} & \multicolumn{1}{c}{**CO\({}_{2}\) Content**} & **Oil Consumption** & **Population** & **Power Consumption** \\ \hline \multirow{2}{*}{1997} & \multirow{2}{*}{\begin{tabular}{c} Morbidity rate \\ The GDP \\ \end{tabular} } & **3.9836** & 0.3384 & 0.8742 & 0.5839 \\  & & **9.8376** & 0.8305 & 2.1947 & 1.4557 \\ \hline \multirow{2}{*}{1998} & \multirow{2}{*}{\begin{tabular}{c} Morbidity rate \\ The GDP \\ \end{tabular} } & **7.4563** & 2.8048 & 4.5350 & 2.4771 \\  & & **2.2918** & 0.8621 & 1.3939 & 0.7614 \\ \hline \multirow{2}{*}{1999} & \multirow{2}{*}{\begin{tabular}{c} Morbidity rate \\ The GDP \\ \end{tabular} } & **7.9110** & 3.2423 & 2.6735 & 1.2875 \\  & & **2.8001** & 1.1476 & 0.9463 & 0.4557 \\ \hline \multirow{2}{*}{2000} & \multirow{2}{*}{\
\begin{tabular}{c} Morbidity rate \\ The GDP \\ \end{tabular} } & **-7.9595** & \(-0.8597\) & \(-2.0893\) & \(-0.6020\) \\  & & **8.2918** & 0.8956 & 2.2108 & 0.6163 \\ \hline \multirow{2}{*}{2001} & \multirow{2}{*}{
\begin{tabular}{c} Morbidity rate \\ The GDP \\ \end{tabular} } & **-2.5423** & \(-1.0984\) & \(-0.9135\) & \(-1.6662\) \\  & & **-3.5340** & 1.5268 & 1.2698 & 2.3161 \\ \hline \hline \end{tabular}
\end{table} 
Table 7: The sensitivity of the local factors and predicted measures. The bold words show the maxmimum absolute value about the sensitivity analysis. \begin{table}
\begin{tabular}{c c c c c c} \hline \hline \multicolumn{2}{c}{**Analysis of Sensitivity**} & \multicolumn{1}{c}{**CO\({}_{2}\)**} & **Oil Consumption** & **Population** & **Power Consumption** \\ \hline \multirow{2}{*}{2002} & \multirow{2}{*}{\begin{tabular}{c} Morbidity rate \\ GDP \\ \end{tabular} } & \(-0.8170\) & \(-\)**1.1080** & \(-0.3755\) & \(-0.1229\) \\  & & 1.0885 & **1.4762** & 0.5003 & 0.1638 \\ \hline \multirow{2}{*}{2003} & \multirow{2}{*}{\begin{tabular}{c} Morbidity rate \\ GDP \\ \end{tabular} } & \(-0.6650\) & \(-\)**2.2309** & \(-0.3824\) & \(-0.1315\) \\  & & 0.0284 & **0.0954** & 0.0164 & 0.0056 \\ \hline \multirow{2}{*}{2004} & \multirow{2}{*}{\begin{tabular}{c} Morbidity rate \\ GDP \\ \end{tabular} } & \(-\)**11.6137** & \(-3.7470\) & \(-4.4730\) & \(-1.1744\) \\  & & **0.0429** & 0.0138 & 0.0165 & 0.0044 \\ \hline \multirow{2}{*}{2005} & \multirow{2}{*}{\
\begin{tabular}{c} Morbidity rate \\ GDP \\ \end{tabular} } & \(-\)**1.6662** & \(-0.2506\) & \(-0.8290\) & \(-0.2341\) \\  & & **2.8640** & 0.4308 & 1.4249 & 0.4023 \\ \hline \multirow{2}{*}{2006} & \multirow{2}{*}{
\begin{tabular}{c} Morbidity rate \\ GDP \\ \end{tabular} } & \(-\)**0.9022** & \(-0.5086\) & \(-0.4204\) & \(-0.1326\) \\  & & **4.4984** & 2.5360 & 2.0960 & 0.6612 \\ \hline \hline \end{tabular}
\end{table} 
Table 8: The sensitivity of the local factors and predicted measures of the test data. The bold words show the maxmimum absolute value about the sensitivity analysis. increase in the morbidity rate. The system must be monitored for both intended and unintended changes. The government should take measures to optimize the resource consumption mechanism.