Research Article
Consumers' Attitudes towards Edible Wild Plants: A Case Study of Noto Peninsula, Ishikawa Prefecture, Japan
Table 5
Binary logistic model: effects of age, education, and city of residence on behavior of purchasing, collecting, and eating edible wild plants.
| | | Model 1 | Model 2 | Model 3 | | Parameter (std.error) | Model 1 (frequency of purchase) | Model 2 (frequency of eating) | Model 3 (frequency of harvest) |
| | Survey site | 0.6033 (0.4353) | 0.5379 (0.4067) | 0.6798 (0.5234) | | Gender | −0.1663 (0.3303) | 0.4281 (0.3307) | 0.4883 (0.3844) | | Residence | 0.0438 (0.4347) | 0.9926** (0.4517) | 1.2659** (0.4935) | | Age (20–39) | −1.2682** (0.5270) | −1.8635*** (0.5015) | −1.3372** (0.5510) | | Age (40–59) | 0.1085 (0.4082) | −0.7708 (0.4709) | −1.0882** (0.4640) | | Education (~basic) | −0.0406 (0.5870) | −0.4123 (0.6900) | −1.2198** (0.6200) | | Education (high school) | 0.2133 (0.5829) | 0.2898 (0.7101) | −0.0713 (0.6098) | | Constant | −1.0360* (0.5864) | 0.3330 (0.6541) | −1.2007* (0.6246) | | −2 log likelihood | 226.2082 | 231.4197 | 180.0617 | | Nagelkerke R square | 0.1322 | 0.3090 | 0.3379 |
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*** Significant at 0.01 level.
** Significant at 0.05 level.
* Significant at 0.10 level.
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