A Driving Force Analysis and Forecast for Gas Consumption Demand in China

Table 6

The estimation results of VAR model.

	LNY	LNGDP	LNCZ	LNP
𝑅-squared	0.998013	0.988922	0.999815	0.999990
Adj. 𝑅-squared	0.996568	0.998138	0.999681	0.999982
Sum sq. resids	0.017876	0.013288	0.000150	360𝐸−07
S.E. equation	0.040312	0.034757	0.003699	0.000181
𝐹-statistic	690.7156	1273.812	7442.299	133230.7
Log likelihood	41.82176	44.78723	89.59510	149.9582
Akaike AIC	−3.282176	−3.578723	−8.059510	−14.09582
Schwarz SC	−2.834096	−3.130643	−7.611430	−13.64774
Mean dependent	10.45492	11.72739	3.628654	7.147743
S.D. dependent	0.688150	0.805368	0.207067	0.042830
Determinant resid covariance (dof adj.)	150𝐸−19
Determinant resid covariance	1.37𝐸−20
Log likelihood	343.8536
Akaike information criterion	−30.78536
Schwarz criterion	−28.99304