## 3 Results and Analysis
### The Test of the Mediating Effect in Urbanization
\begin{table}
\begin{tabular}{c c c c c c c c c c} \hline  & \multicolumn{3}{c}{**The Proportion of Secondary**} & \multicolumn{3}{c}{**The Proportion of Tertiary**} & \multicolumn{3}{c}{**Economic Development Level\(\rightarrow\)**} \\  & \multicolumn{3}{c}{**Industry\(\rightarrow\) Uchnization\(\rightarrow\)**} & \multicolumn{3}{c}{**Industry\(\rightarrow\) Uchnization\(\rightarrow\)**} & \multicolumn{3}{c}{**Uchnization\(\rightarrow\)**} \\  & \multicolumn{3}{c}{**Carbon Emission**} & \multicolumn{3}{c}{**Carbon Emission**} & \multicolumn{3}{c}{**Carbon Emission**} & \multicolumn{3}{c}{**Uchnization\(\rightarrow\) Carbon Emission**} \\ \cline{2-10}  & \multicolumn{1}{c}{_InY_(**total**)} & \multicolumn{1}{c}{_InY_} & \multicolumn{1}{c}{_InY_(**total**)} & \multicolumn{1}{c}{_InY_} & \multicolumn{1}{c}{_InY_} & \multicolumn{1}{c}{_InY_(**total**)} & \multicolumn{1}{c}{_InY_} & \multicolumn{1}{c}{_InY_} \\ \cline{2-10}  & _Column1_ & _Column2_ & _Column3_ & _Column4_ & _Column5_ & _Column6_ & _Column7_ & _Column8_ & _Column9_ \\ \hline \multirow{3}{*}{\(lnC_{i}\)} & \(-0.285\) & & 0.099 & \(-1.700\) & 1.482 & & & \\  & [0.159] & & [0.069] * & [0.728] & [0.022] ** & & & \\  & 1.867 & & 1.728 & \(-5.437\) & 1.762 & 0.847 & 0.074 & 0.828 \\  & [0.001] & & [0.001] *** & [0] *** & [0.005] *** & [0] *** & [0] *** & [0] *** \\  & 0.752 & & 0.718 & & 0.768 & 0.084 & & 0.085 \\  & [0.048] & [0.049] ** & & [0.025] ** & [0] *** & [0] *** & [0] *** \\  & 3.478 & & 3.041 & & 3.556 & 0.814 & & 0.821 \\  & [0.001] & & [0.016] ** & & [0.002] *** & [0] *** & [0] *** \\  & & & & & & 0.033 & 0.167 & & 0.622 \\  & & & & & & [0.608] *** & & [0] *** \\  & 0.268 & & 0.448 & & 0.441 & 0.401 & & 0.385 \\  & [0.035] & & [0.044] ** & & [0.046] ** & [0] *** & [0] *** \\  & \(-1.585\) & & & & 3.216 & 0.012 & & & \\  & [0.286] & & & [0.105] & [0.452] & & & \\  & 0.617 & & & 0.017 & \(-0.105\) & 0.012 & 0.013 & 0.016 \\  & [0.030] ** & & & [0.391] & [0.013] ** & [0.442] & [0.652] & [0.307] \\  & [0.269 & & & & 0.002 & \(-0.323\) & & \(-0.266\) \\  & [0.131] * & & & [0.991] & [0] *** & & [0] *** \\  & \(-0.456\) & & & & \(-0.002\) & \(-0.456\) & & 0.002 \\  & [0] *** & & & & [0.116] & [0] ** & & [0.991] \\  & & & & 0.099 & \(-1.700\) & 1.482 & & & 0.135 & \(-0.087\) \\  & & & [0.069] * & [0.728] & [0.022] ** & & & [0] *** & [0.062] * \\  & R2 & 97.76\% & & 99.43\% & 81.03\% & 99.12\% & 99.46\% & 96.95\% & 99\% \\ \hline \end{tabular} Note: Inside of the [ ] is the p-value;*, **, and *** indicate statistically significant differences at the 10%, 5%, and 1% levels, respectively. In Column1, the \(lnC_{1}\) on the regression coefficient value of \(lnY\) (\(-0.285\)) is not statistically significant, so it does not meet the conditions of the subsequent mediating effect test, so the _Column2_ and _Column3_ results do not need to be given.  
\end{table} 
Table 7: The impact path test result of related variables \(\rightarrow\) urbanization \(\rightarrow\) carbon emissions. secondary industry, the higher the carbon emissions when compared to the tertiary industry; the higher the proportion of the tertiary industry is, the lower the level of carbon emissions. Accordingly, in order to reduce carbon emissions and achieve low-carbon development of the regional economy, Shanghai, Jiangsu, and Zhejiang provinces should appropriately reduce their secondary industry proportions, increase their tertiary industry proportion, and actively promote the optimization and upgrade of the industrial structure. On the one hand, we should increase the level of investment in environmental management of the secondary industry, such as urging high-energy-consuming enterprises to purchase energy saving and environmental protection devices. (2) The impact of secondary and tertiary industries, economic development level on urbanization. From the estimation results of Column5 in Table 7, it can be seen that the proportion of tertiary industry (\(lnC_{2}\)) on the urbanization level (\(lnU\)) is not statistically significant (\(-1.700\)).