Table 4 Estimation results of the regression model in Study 1 (n = 2132 in Model 1; n = 1353 in Model 2; n = 522 in Model 3; n = 257 in Model 3).

Variable	Model 1: Total			Model 2: Food			Model 3: Coffee			Model 4: Tea
Variable	Estimate	p-value		Estimate	p-value		Estimate	p-value		Estimate	p-value
Intercept	1.298	0.000	***	1.125	0.000	***	1.392	0.000	***	1.921	0.000	***
Female	−0.040	0.491		−0.115	0.091		0.255	0.077		−0.218	0.256
Age	0.042	0.085		0.058	0.042	*	0.014	0.809		0.002	0.975
Married	0.130	0.078		0.147	0.077		0.141	0.443		0.169	0.521
Children	0.100	0.162		0.118	0.145		0.177	0.312		−0.075	0.774
Income	0.017	0.225		0.015	0.378		0.015	0.620		0.031	0.495
Environment	0.154	0.215		0.024	0.868		0.542	0.045	*	0.115	0.748
Labor	0.331	0.002	**	0.372	0.069		0.415	0.019	*	0.159	0.826
Materials	0.340	0.002	**	0.328	0.004	**	0.424	0.429		0.083	0.828
Package	0.113	0.120		0.095	0.228		0.377	0.212		−0.086	0.670
Production_Area	0.363	0.002	**	0.502	0.000	***	−0.169	0.593		−0.380	0.510
Recycle	0.467	0.001	***	0.419	0.008	**	0.346	0.289		0.848	0.031	*
Involvement	0.434	0.000	***	0.468	0.000	***	0.381	0.000	***	0.395	0.000	***
R-square	0.253			0.305			0.217			0.193

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