Table 2. Results of multinomial logistic regression with willingness to pay as the dependent variable.

Not willing to pay was used as the reference category. Pseudo R² = 0.118 (Cox and Snell), 0.134 (Nagelkerke). Model Chi Squared (df = 4) = 17.008, p = 0.02.

			95% CI for Odds Ratio
		B (SE)	Lower	Odds Ratio	Upper
Willing to pay up to US$6	Intercept	0.350(0.420)
	I understand how TURFS operate	-1.023(0.435)*	0.153	0.360	0.844
	I think that TURFS fulfil a conservation role	1.005(0.423)*	1.192	2.732	6.264
Willing to pay more than US$6	Intercept	-0.536(0.525)
	I understand how TURFS operate	-1.143*	0.118	0.118	0.865
	I think that TURFS fulfil a conservation role	1.387*	1.402	4.003	11.427

*p <0.05.