Research Article

Forecast of China’s Carbon Emissions Based on ARIMA Method

Table 10

Fitting comparison results.

ARIMA coefficientR2AICSC

(1, 2, 1)0.2152677.7159427.864337
(1, 2, 2)0.6973596.8742567.072116
(1, 2, 3)0.235817.9116368.158962
(1, 2, 4)0.6082977.3544367.651226
(2, 2, 1)0.2386777.8726268.068676
(2, 2, 2)0.742946.9045267.149588
(2, 2, 3)0.804846.7466797.040755
(2, 2, 4)0.6522017.4421347.785222
(3, 2, 1)0.8287926.594756.836184
(3, 2, 2)0.815986.7919147.081635
(3, 2, 3)0.6142447.6570757.995082
(3, 2, 4)0.9482595.7731166.15941
(4, 2, 1)0.579457.730578.01379
(4, 2, 2)0.8948936.4773226.807746
(4, 2, 3)0.9006426.5544076.932033
(4, 2, 4)0.9271696.3771556.801986