## 4 Discussion
### Comparative Analysis of Results
\begin{table}
\begin{tabular}{c c c c c c c c c} \hline  & **SEM\_ind** & **SEM\_time** & **SEM\_both** & & **SLM\_ind** & **SLM\_time** & **SLM\_both** & **SLM\_random** \\ \hline
**Main** & \multicolumn{8}{c}{**Main**} \\ \hline Tem & \(-0.462\)*** & \(0.142\) & \(-0.165\) & x1 & \(-0.258\)*** & \(-0.003\) & \(-0.415\)*** & \(-0.132\)*** \\  & \((-3.31)\) & \((1.26)\) & \((-1.25)\) & & \((-3.06)\) & \((-0.06)\) & \((-4.96)\) & \((-3.11)\) \\ \hline Pre & \(0.400\) & \(1.054\)*** & \(-0.424\) & x2 & \(0.029\) & \(0.685\)*** & \(-0.549\)*** & \(0.836\)*** \\  & \((1.11)\) & \((4.07)\) & \((-1.16)\) & & \((0.14)\) & \((5.37)\) & \((-2.65)\) & \((6.47)\) \\ \hline Evp & \(0.279\) & \(4.999\)*** & \(6.030\)*** & x3 & \(-0.481\)** & \(0.688\)*** & \(1.623\)*** & \(-0.482\)** \\  & \((0.53)\) & \((7.05)\) & \((9.24)\) & & \((-2.24)\) & \((2.62)\) & \((5.07)\) & \((-2.53)\) \\ \hline Win & \(-0.718\)*** & \(-1.133\)*** & \(-1.016\)*** & x4 & \(-0.421\)*** & \(-0.528\)*** & \(-0.686\)*** & \(-0.384\)*** \\  & \((-3.98)\) & \((-8.17)\) & \((-5.44)\) & & \((-4.54)\) & \((-8.60)\) & \((-7.14)\) & \((-6.54)\) \\ \hline Ssd & \(0.263\) & \(-4.292\)*** & \(-4.124\)*** & x5 & \(1.424\)*** & \(-0.552\)*** & \(0.302\) & \(0.375\)* \\  & \((0.40)\) & \((-6.61)\) & \((-5.80)\) & & \((4.38)\) & \((-2.13)\) & \((0.86)\) & \((1.70)\) \\ \hline Rhu & \(-0.068\)** & \(0.017\) & \(0.024\) & x6 & \(-0.067\)*** & \(0.004\) & \(-0.030\)* & \(-0.014\)* \\  & \((-2.50)\) & \((0.93)\) & \((0.82)\) & & \((-4.37)\) & \((0.52)\) & \((-1.88)\) & \((-1.69)\) \\ \hline Gst & \(0.546\)*** & \(-0.494\)*** & \(-0.268\)** & x7 & \(0.232\)*** & \(-0.094\)* & \(0.036\) & \(0.102\)** \\  & \((5.45)\) & \((-3.79)\) & \((-2.28)\) & & \((4.82)\) & \((-1.79)\) & \((0.69)\) & \((2.33)\) \\ \hline lambda & \(0.575\)*** & \(0.673\)*** & \(0.632\)*** & Rho & \(0.484\)*** & \(0.426\)*** & & \((1.06)\) \\  & \((14.31)\) & \((21.04)\) & \((20.74)\) & & \((19.50)\) & \((16.63)\) & & \\ \hline sigma2\_e & \(0.363\)*** & \(0.497\)*** & \(0.307\)*** & sigma2\_e & \(0.353\)*** & \(0.569\)*** & \((16.85)\) & \((18.27)\) \\ \hline  & \((26.48)\) & \((26.33)\) & \((26.69)\) & & \((27.34)\) & \((27.23)\) & & \\ \hline r2 & \(0.414\) & \(0.088\) & \(0.044\) & r2 & \(0.479\) & \(0.440\) & \(0.336\)*** & \(0.552\)*** \\ \hline ll & \(-1400\) & \(-1700\) & \(-1300\) & L1 & \(-1400\) & \(-1800\) & \((27.40)\) & \((21.95)\) \\ \hline aic & \(2895.524\) & \(3423.239\) & \(2665.870\) & Aic & \(2822.983\) & \(3524.670\) & & \(2.737\)*** \\ \hline bic & \(2943.486\) & \(3471.201\) & \(2713.832\) & Bic & \(2870.945\) & \(3572.632\) & & \((4.17)\) \\ \hline N & \(1524.000\) & \(1524.000\) & \(1524.000\) & N & \(1524.000\) & \(1524.000\) & \(0.140\) & \(0.587\) \\ \hline \end{tabular}  
* *, ***, and ***, respectively, indicate the significance levels at 10%, 5%, and 1%.  
\end{table} 
Table 6: Results from SEM and SLM models. implementation of the policy, all five major wind and sand hazard areas in B-T-H have been treated for more than 20 years, significantly increasing the spatial carbon sink capacity [39]. [PERSON]'s I statistics showed a significant spatial autocorrelation of carbon sinks in B-T-H, with a high-high and low-low aggregation in spatial distribution. The high NPP areas were located in the Yanshan and Taihang Mountains, the green barriers for the development of B-T-H urban agglomerations. In the context of the integrated development of B-T-H, the \"demonstration effect\" exists between regions, which can lead the neighboring regions to follow suit and increase the ecological spaces and carbon sinks. Regional synergistic development has been successful in many regions; in Sweden, for example, its climate policy takes into account cross-sectoral equity--i.e., the spatial autonomy of carbon sinks--and multi-level cooperative governance to achieve a win-win situation for both carbon sinks and the economy, which makes Sweden a leading model for climate policy in the EU and other OECD (Organization for Economic Co-operation and Development) countries or regions [40].