Table 5 Analyzing factors that influence the alternative food shopping experience

Variables Estimates Marginal effects
Age -0.092** (-0.041) -0.015** (0.007)
Age2 0.001* (0.000) 0.000* (0.000)
Gender (Male = 1, Female = 0) -0.182 (0.147) 0.029 (0.024)
Location (Metropolitan = 1, None-Metropolitan = 0) -0.222 (0.149) -0.036 (0.024)
Education (college degree or higher = 1, less than college degree = 0) 0.077 (0.214) 0.012 (0.035)
Monthly average household income (pre-tax) 0.104** (0.048) 0.017** (0.008)
White-collar or not (Yes = 1, No = 0) 0.179 (0.159) 0.029 (0.026)
50+ Members or not in household (Yes = 1, No = 0) -0.276 (0.356) -0.045 (0.058)
Number of 50+ members in household 0.145 (0.176) 0.023 (0.028)
Vegetarian or not in household (Yes = 1, No = 0) 1.465*** (0.220) 0.237*** (0.033)
Environmental concern 0.334*** (0.112) 0.055*** (0.018)
Usual diet (Based variable = Meat) Vegetable 0.355 (0.312) 0.055 (0.049)
Meat & vegetable 0.340 (0.227) 0.053 (0.033)
Future meat consumption willingness to reduce 0.293*** (0.088) 0.047*** (0.014)
Proportion of meat restaurants out of the cost of eating out 0.280*** (0.073) 0.045*** (0.012)
Constants -2.594*** (0.986)
Obs. 1,200
Note 1) Values within ( ) are standard errors.
   2) Note: *** at 1% significance level, ** at 5% significance level, *** at 10% significance level
   3) Age2 means the squared value of the respondent‘s age.