Table VII. Model estimation of the... | Emerald Publishing

Table VII.

Model estimation of the impact of aging, off-farm employment and social network on farmers’ cognition of soil and water conservation technology

Variable	Model 1		Model 2		Model 3
Variable	Coefficient	Standard error	Coefficient	Standard error	Coefficient	Standard error
Aging	−0.229*	0.128	−1.160***	0.317	−0.238*	0.128
Off-farm employment	−0.394*	0.202	−0.386*	0.202	−0.792***	0.227
Social network	0.279***	0.075	0.390***	0.060	0.379***	0.060
Aging × social network	–	–	0.290**	0.090	–	–
Off-farm employment × social network	–	–	–	–	0.078***	0.021
Educational level	−0.004	0.016	−0.001	0.016	−0.002	0.016
Gender	0.286	0.312	0.249	0.312	0.294	0.312
Agricultural machinery quantity	0.168	0.109	0.138	0.109	0.119	0.109
Cultivated land area	0.023***	0.005	0.021***	0.005	0.022***	0.005
Village cadres	0.182	0.149	0.208	0.150	0.193	0.149
Government investment	0.316***	0.112	0.334**	0.113	0.336**	0.113
Severity of soil erosion	0.008	0.052	0.017	0.052	0.009	0.052
LR chi²	126.51		137.15		141.26
Prob > chi²	0.0000		0.0000		0.0000
Pseudo R²	0.0441		0.0478		0.0493
Log likelihood	−1,371.2155		−1,364.9836		−1,362.9306

Variable	Model 1		Model 2		Model 3
Variable	Coefficient	Standard error	Coefficient	Standard error	Coefficient	Standard error
Aging	−0.229*	0.128	−1.160***	0.317	−0.238*	0.128
Off-farm employment	−0.394*	0.202	−0.386*	0.202	−0.792***	0.227
Social network	0.279***	0.075	0.390***	0.060	0.379***	0.060
Aging × social network	–	–	0.290**	0.090	–	–
Off-farm employment × social network	–	–	–	–	0.078***	0.021
Educational level	−0.004	0.016	−0.001	0.016	−0.002	0.016
Gender	0.286	0.312	0.249	0.312	0.294	0.312
Agricultural machinery quantity	0.168	0.109	0.138	0.109	0.119	0.109
Cultivated land area	0.023***	0.005	0.021***	0.005	0.022***	0.005
Village cadres	0.182	0.149	0.208	0.150	0.193	0.149
Government investment	0.316***	0.112	0.334**	0.113	0.336**	0.113
Severity of soil erosion	0.008	0.052	0.017	0.052	0.009	0.052
LR chi²	126.51		137.15		141.26
Prob > chi²	0.0000		0.0000		0.0000
Pseudo R²	0.0441		0.0478		0.0493
Log likelihood	−1,371.2155		−1,364.9836		−1,362.9306

Notes:

*, ** and *** respectively represented significant tests at 10, 5 and 1% levels