Table 2.

Multivariate-Probit regression estimate for Y₁ and Y₂.

	Equation 1		Equation 2
	Y1		Y2
	Coef.	S.E.	Coef.	S.E.
Cooperative membership (CM)	0.276**	0.137	0.299***	0.114
Gender(se)	−0.0742	0.148	−0.051	0.128
Age (ag)	0.120***	0.0379	0.0764**	0.0363
Square of age (ag2)	−0.00112***	0.000352	−0.000833**	0.000341
Education (edu)	−0.0127	0.0664	−0.0248	0.0573
Proportion of household farmers (fa)	0.0398	0.211	0.0358	0.191
Operating cultivated land area (mu) (lad)	−0.000499*	0.000266	−0.0000656	0.000283
Income (inc)	0.143*	0.074	0.134**	0.064
Difficulty of bank loan (loa)	0.354***	0.0736	0.168***	0.059
Social relationship (sr)	0.361**	0.179	0.467***	0.148
Cognition of green product benefits (Cog)	0.0272	0.116	−0.0219	0.102
Constant	−3.875***	1.04	−2.490**	0.99
Cross-correlation of two equation's error terms
	Coef.	S.E.
ρ21	1.259***	0.113
Likelihood ratio test of rho21 = rho31 = rho32 = 0: chi2(1) = 199.658, Prob > chi2 = 0.0000
Log likelihood = −629.17792; Wald chi2(22) = 101.87

Notes: ***, **, and * represent significance at the 1 %, 5 %, and 10 % levels, respectively.