Table 5.
Binary logistic regression analysis of predictors of individuals’ pro-environmental behaviors.
| Variables | Green Travel Behavior (Model 5) | Green Ordering Takeout Behavior (Model 6) | Water Conservation Behavior (Model 7) | |||
|---|---|---|---|---|---|---|
| b | Exp(b) | b | Exp(b) | b | Exp(b) | |
| Age | 0.027 * | 1.028 | 0.047 *** | 1.048 | 0.008 | 1.008 |
| Education | −0.026 | 0.975 | 0.253 * | 1.288 | −0.157 | 0.855 |
| Marital status a | 0.173 | 1.189 | 0.611 ** | 1.843 | −0.112 | 0.894 |
| Monthly income | −0.035 | 0.966 | −0.032 | 0.969 | −0.149 * | 0.862 |
| Environmental knowledge | 0.467 *** | 1.595 | 0.414 *** | 1.513 | 0.379 *** | 1.460 |
| Gender b | 0.417 * | 1.518 | 0.515 ** | 1.674 | 0.014 | 1.014 |
| Constant | −2.994 ** | 0.050 | −4.600 *** | 0.010 | −0.243 | 0.785 |
| −2 Log likelihood | 658.934 | 645.746 | 720.278 | |||
| χ2(df) | 36.853 (6) | 66.265 (6) | 29.479 (6) | |||
| Cox and Snell R2 | 0.067 | 0.117 | 0.054 | |||
| Nagelkerke R2 | 0.092 | 0.159 | 0.072 | |||
Notes: N = 532. * p < 0.05, ** p < 0.01, *** p < 0.001. Exp(b) is the factor change in the odds of the dependent variable due to a one-unit increase in the specific independent variable. Reference categories: a marital status = single, b gender = male.