Analysis of Farmers’ Willingness to Use Blockchain and Influencing Factors Based on the Binary Logit Model

Table 3

Estimated results of binary Logit and Probit.

	Logit		Probit
	Coef.	Std. err.	Coef.	Std. err.
	-1.41	1.06	-0.90	0.55
	-1.62	0.75	-0.73	0.33
	1.10	0.50	0.68	0.27
	0.00	0.39	0.05	0.20
	-0.24	0.44	-0.17	0.24
	1.21	0.43	0.71	0.23
	0.23	0.35	0.12	0.19
	-0.52	0.50	-0.33	0.27
	1.77	0.54	0.93	0.27
	2.95	0.95	1.49	0.47
	0.92	0.39	0.54	0.21
	-0.76	0.35	-0.48	0.20
	1.75	0.65	1.01	0.34
	0.11	0.62	0.07	0.33
	-0.93	0.87	-0.58	0.46
	-0.58	1.19	-0.20	0.65
	-0.33	0.99	-0.24	0.54
_cons	-16.85	4.09	-9.18	2.05
LR chi^2 (17)	169.21		168.44
	0.00		0.00
Log likelihood	-40.90		-41.29
Pseudo	0.67		0.67
Ob	207.00		207.00

, , and indicate remarkable levels of 1%, 5%, and 10%, respectively.