Modelling Analysis of Forestry Input-Output Elasticity in China

Table 4

Different regression models based on space weight matrix .

	Trivariate function			Bivariate function
	OLS	SLM	SEM	OLS	SLM	SEM
Constant	0.3768	0.3559	0.4777	0.5702	0.5369	0.6657
	(0.7390)	(0.7328)	(0.5558)	(0.6242)	(0.6219)	(0.4199)
	0.8443	0.8350	0.9091	0.3968	0.4006	0.6492
	(0.0297)	(0.0151)	(0.0016)	(0.1531)	(0.1174)	(0.0058)
	−0.4543	−0.4418	−0.3293
	(0.0955)	(0.0718)	(0.1372)
	0.7377	0.6947	0.6332	0.8412	0.7830	0.6603
	(0.0025)	(0.0014)	(0.0004)	(0.0007)	(0.0004)	(0.0003)
,		0.0395	0.6540		0.0503	0.6672
		(0.5711)	(0.0000)		(0.4881)	0.0000
	−49.1486	−48.9847	−42.96	−50.7651	−50.5221	−44.0254
	0.8701	0.8714	0.9215	0.8562	0.8585	0.9167
AIC	106.30	107.97	93.93	107.53	109.04	94.0509
SC	112.16	115.30	99.79	111.93	114.91	98.4481

Note: (), (), and ().