Table 7. Result of Logistic Regression (n=154).

Variables	model (n=154)
	B	S.E.	Wald	Sig	Exp(B)
WTA	0.000	0.000	19.249	0.000***	1.000
effort to project	−0.295	0.181	2.654	0.103	0.745
pursuing value	1.070	0.591	3.272	0.070*	2.915
privately owned forests	0.048	0.034	1.998	0.185	1.049
absentee	−0.884	0.847	1.088	0.431	0.413
age	0.622	0.306	4.137	0.158	1.862
gender	−0.285	0.198	2.075	0.297	0.752
education level	0.003	0.002	1.759	0.042**	1.003
household income	−0.435	0.552	0.621	0.150	0.647
species	1.522	0.952	2.556	0.110	4.582
ecosystem and nature map index	−1.543	1.001	2.379	0.123	0.214
forest age	0.071	0.061	1.341	0.247	1.073
road accessibility	−0.272	0.479	0.323	0.570	0.762
constant	−9.256	3.196	8.386	0.004***	0.000
goodness of fit	likelihood ratio test			χ2=30.86 (p=0.006)
	Cox & Snell R2			0.232
	Nagelkerke R2			0.312
	Hosmer & Lemeshow			χ2=14.72 (p=0.065)

Annotation * and ** reveal significant level 1% and 5% for each.