Forecasting China’s CO₂ Emissions for Energy Consumption Based on Cointegration Approach

Table 2

The ADF test result for the series.

Item	Variable	Test Type	Statistics of ADF	P value	Confidence threshold of 1%	Confidence threshold of 5%	Confidence threshold of 10%	Results
The level item	lnCE	(C, T,6)	-3.127378	0.1100	-4.127338	-3.490662	-3.173943	Non-stationary
	lnTE	(C, T,6)	-2.983204	0.1459	-4.127338	-3.490662	-3.173943	Non-stationary
	lnPG	(C, T,2)	-1.717557	0.7315	-4.115684	-3.485218	-3.170793	Non-stationary
	lnUL	(C, T,5)	-2.024651	0.5757	-4.124265	-3.489228	-3.173114	Non-stationary
	lnEI	(C, T,1)	-3.340095	0.0694	-4.113017	-3.483970	-3.170071	Non-stationary
First-order differential term	dlnCE	(C, N, 1)	-4.554732	0.0005	-3.542097	-2.910019	-2.592645	stationary
	dlnTE	(C, N, 1)	-4.523070	0.0005	-3.542097	-2.910019	-2.592645	stationary
	dlnPG	(C, N, 1)	-5.613558	0.0000	-3.542097	-2.910019	-2.592645	stationary
	dlnUL	(C, N, 2)	-3.676089	0.0069	-3.544063	-2.910860	-2.593090	stationary
	dlnEI	(C, N, 1)	-3.172484	0.0265	-3.542097	-2.910019	-2.592645	stationary

Note: C denotes including the intercept, T denotes including trend items, N denotes not including trend items, the digital denotes lag interval, P=0.001, denotes the variables are steady at 1% significance level, and denotes the variables are steady at 5% significance level.