Research Article

Prediction on the Peak of the CO2 Emissions in China Using the STIRPAT Model

Table 2

The coefficients for estimated values of ridge .

_RIDGE__RMSE_Interceptx1x2x3x4x5x6

000.0782841.8533150.9716643.98E-08−3.6E-09−1.3E-09
0.050.013621−4.068563.913580.154094−0.14590.6724741.6478650.028697
0.10.01573−3.700583.6637320.147276−0.175670.6357631.588497−0.00499
0.150.018005−3.450573.5151710.143406−0.185730.6138031.508606−0.03088
0.20.020388−3.252153.4063910.140245−0.189890.5971711.428594−0.05225
0.250.022793−3.083363.3180240.137428−0.191540.5832691.352639−0.07037
0.30.025169−2.93463.2420790.134839−0.191910.5710621.281704−0.08596
0.350.027488−2.800753.1745910.132426−0.191560.5600391.215826−0.09948
0.40.029739−2.67873.1133250.130158−0.190780.5499111.154741−0.11129
0.450.031916−2.566363.0568920.128016−0.189720.5404951.098091−0.12166
0.50.034019−2.462233.0043690.125982−0.188480.5316661.045499−0.13078
0.550.036049−2.365172.9551040.124047−0.187120.5233360.996607−0.13884
0.60.03801−2.274292.9086170.122199−0.185690.5154380.951084−0.14598
0.650.039906−2.188882.8645420.12043−0.184210.5079180.908627−0.15232
0.70.04174−2.108342.8225920.118734−0.18270.5007370.868964−0.15795
0.750.043515−2.032182.7825340.117105−0.181170.493860.831852−0.16295
0.80.045236−1.959982.7441780.115536−0.179640.4872570.797071−0.16741
0.850.046905−1.891382.7073650.114025−0.178110.4809070.764426−0.17137
0.90.048525−1.826062.6719620.112566−0.176580.4747870.733739−0.17491
0.950.0501−1.763752.6378520.111157−0.175060.468880.704854−0.17805
10.051632−1.704212.6049370.109793−0.173560.4631710.677627−0.18084