. 2023 Oct 10;9(10):e20819. doi: 10.1016/j.heliyon.2023.e20819

Table 3.

Multivariate-Probit regression estimate for yy₁-yy₃.

	Equation 1		Equation 2		Equation 3
	yy₁ — Green prevention and control practice		yy₂ — Soil testing formula fertilizer practice		yy3 –- chemical fertilizers reduce
	Coef.	S.E.	Coef.	S.E.	Coef.	S.E.
Cooperative membership (CM)	0.343***	0.121	0.435***	0.134	0.0868	0.133
Gender (se)	−0.00403	0.134	−0.135	0.155	−0.0175	0.149
Age (ag)	0.0558	0.0364	0.0497	0.0443	0.125***	0.039
Square of age (ag2)	−0.000602*	0.000341	−0.000582	0.00043	−0.00126***	0.000362
Education (edu)	0.0179	0.0592	0.181***	0.0667	0.056	0.0653
Proportion of household farmers (fa)	0.00517	0.198	0.580**	0.232	−0.267	0.21
Operating cultivated land area (mu) (lad)	−0.00005	0.000265	−0.0000718	0.000282	−0.000304	0.000308
Income (inc)	0.121*	0.0671	0.0848	0.0748	0.247***	0.0767
Difficulty of bank loan (loa)	0.148**	0.0642	−0.0321	0.0738	0.470***	0.0743
Social relationship (sr)	0.204	0.155	0.561***	0.152	0.187	0.172
Cognition of green product benefits (Cog)	−0.0151	0.107	0.0833	0.122	−0.0446	0.118
Constant	−2.080**	0.987	−2.803**	1.167	−4.319***	1.069
Cross-correlation of three equation's error terms
	Coef.	S.E.		Coef.	S.E.
ρ₂₁	0.346***	0.067
ρ₃₁	0.576***	0.052	ρ₃₂	0.4456***	0.0667
Likelihood ratio test of rho21 = rho31 = rho32 = 0: chi2(3) = 124.705 Prob > chi2 = 0.0000
Log likelihood = −952.90789; Wald chi2(33) = 196.81

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