Table 2.

Estimates of the binary probit model (n = 331).

Variables	β	Standard Error	z-Value	p-Value	Marginal Effects
Intercept	−2.67	0.59	−4.49	<0.000	−0.63
energetic_aspects	0.11	0.06	1.86	<0.05	3.00
nutritional_aspects	0.12	0.07	1.82	<0.05	2.00
origin_material_raw	−0.14	0.08	−1.59	n.s.	-
prod_place	0.22	0.09	2.34	<0.01	5.00
local_tradition	0.11	0.06	−1.87	<0.05	3.00
fundamental_food	−0.08	0.04	−1.80	<0.05	−2.00
taste	0.12	0.04	2.55	<0.01	3.00
no_difference	−0.09	0.03	−2.76	<0.001	−2.00
dairy_products	0.82	0.18	4.51	<0.000	1.90
organic_less_impact	0.09	0.05	1.82	<0.05	2.00
organic_safer	−0.09	0.04	−2.00	<0.01	−2.00
pdo_only_land	0.06	0.03	1.44	<0.01	1.00
pdo_better_conventional	0.09	0.05	2.07	<0.01	2.00
hay_milk	0.52	0.28	1.88	n.s.	-
hay_milk_past	5.27	0.21	0.02	n.s.	-
hay_assoc	0.33	0.15	2.18	<0.01	8.00
hay_milk_livestock	0.29	0.13	2.19	<0.01	7.00
hay_milk_curiosity	0.16	0.03	4.56	<0.000	4.00
hay_milk_less_env_impact	0.08	0.04	1.92	n.s	-
gender	−0.36	0.18	−2.03	<0.01	−9.00
AIC: 319.45 Mc Fadden Pseudo-R2: 0.34

Note: n.s. means variable with not significant value. Source: Our elaboration on survey data.