Can blockchain technology strengthen consumer preferences for credence attributes?

Agricultural and Food Economics

Table 5 Mixed logit and mixed logit model with the interaction with psychographic terms

Variables	Mixed logit model		Mixed logit model with psychographic interaction terms
	Coefficients	Std. Err.	Coefficients	Std. Err.
Random parameters
Organic	1.21***	0.17	1.22***	0.17
PDO	1.13***	0.14	1.12***	0.14
Blockchain technology	1.05***	0.18	1.06***	0.18
Non-random parameters
Price	− 0.41***	0.02	− 0.41***	0.02
No-buy	− 2.36***	0.15	− 2.35***	0.15
Organic*blockchain technology	− 0.15	0.22	− 0.17	0.22
PDO*blockchain technology	− 0.58***	0.22	− 0.58**	0.22
Organic*Involvement in sustainable eating			0.45***	0.11
PDO*Involvement in sustainable eating			− 0.10	0.07
Blockchain technology *Involvement in sustainable eating			0.07	0.07
Organic*Trust in the food system			0.10	0.13
PDO* Trust in the food system			0.21**	0.10
Blockchain technology * Trust in the food system			0.16*	0.09
Standard deviation
Organic	1.92***	0.12	1.80***	0.12
PDO	1.15***	0.09	1.12***	0.09
Blockchain technology	1.01***	0.08	0.99***	0.08
Summary statistics
Log-likelihood	− 2,748.51		− 2,726.25
Number of observations	10,800		10,800
Number of parameters	10		16
Akaike’s information criterion	5,517.02		5,484.50
Bayesian information criterion	5,589.89		5,601.10

(***) significance at 1%; (**) significance at 5% (*) significance at 10%; The number of Halton draws used for the simulation is 1,000. Std. Err.: Standard Errors