[Retracted] Analysis Method of Agricultural Total Factor Productivity Based on Stochastic Block Model (SBM) and Machine Learning

Table 5

Analysis of determinants of agricultural efficiency and total factor productivity of agriculture.

	Agricultural efficiency				Total factor productivity of agriculture
	VRS		CRS
	Coefficient	Z-stat	Coefficient	Z-stat	Coefficient	T-stat
Intercept	1.0408	7.4152	1.5132	14.2378	0.2071	0.7182
Agricultural proportion	−0.0028	−1.2480	−0.0095	−5.5214	−0.0113	−2.3773
Mechanical density	−0.0387	−4.5560	−0.0319	−4.9716	0.1848	6.5973
Proportion of animal husbandry	−0.2486	−2.0152	−0.1176	−1.2703	−0.0152	−0.0423
Industrial proportion	−0.0027	−1.3278	−0.0138	−9.3029	−0.0091	−1.9719
The proportion of rural population	−0.0002	−0.3168	−0.0008	−1.5239	−0.0020	−0.74.3
Government fiscal policy	−1.6756	−4.4787	−1.2777	−4.8288	−0.8814	−1.6323
Educational level	0.0202	7.8719	0.0132	7.1940	0.0340	6.4282
R^2 (scale)	0.1043	19.5853	0.1382	25.7347	0.7462
Observation value	403		403		403

Note. indicates that the estimated coefficient is significant at the 1% level; indicates that the estimated coefficient is significant at the 5% level; indicates that the estimated coefficient is significant at the 10% level; and Scale is the scale parameter of the Tobit regression.