Calculation Method of Logistics Energy Consumption in Agricultural Product Supply Chain Based on Structural Equation Model

Table 5

Results of structural equation reliability test on latent variables of logistics capability.

Goodness-of-fit index	Index result	Ideal value	Description
Discrepancy	11.5	—
Degrees of freedom	14	—
Discrepancy/df	0.80	<2	Ideal
RMR	0.029	<0.05	Ideal
GF1	0.963	>0.8∼0.9	Ideal
AGF1	0.924	>0.8∼0.9	Ideal
IF1	1.028	>0.9	Ideal
TLI	1.035	>0.9	Ideal
CFI	1.007	>0.9	Ideal
RMSEA	0	<0.05 ∼0.08	Ideal
	0.642	>0.05	Ideal
Nonstandard estimate	Estimate	S.E	C.R. (t-value)
LC2<- LC	1.000^B
LC3 <-- LC	1.069	0.264	4.159
LC4 <- LC	0.958	0.26	4.626
LC7 <- LC	0.836	0.257	3.931
LC8 <- LC	0.987	0.234	4.498
LC9 <- LC	1.095	0.245	4.747
LC11 <- LC	0.995	0.252	4.365
Factor load estimation	Standardized estimate
LC2 <- LC	0.647
LC3 <- LC	0.586
LC4 <- LC	0.688
LC7 <- LC	0.564
LC8<- LC	0.675
LC9<- LC	0.723
LC11<- LC	0.654

B: fixed parameter value, .