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Table 3
Results of logit model estimation.
| Variables | Coefficient | Standard error |
p-value | WTP | |
|---|---|---|---|---|---|
| Extrinsic attributes | |||||
| Price USD | −0.724 | *** | 0.229 | 0.002 | |
| Production environment | −0.689 | * | 0.407 | 0.091 | −0.95 |
| Availability | 0.864 | ** | 0.351 | 0.014 | 1.19 |
| Intrinsic attributes | |||||
| Freshness | 1.747 | *** | 0.458 | 0.000 | 2.41 |
| Size | 1.291 | *** | 0.377 | 0.001 | 1.78 |
| Roe | −0.017 | 0.418 | 0.967 | −0.03 | |
| Sensory Attributes | |||||
| Odor | −1.010 | *** | 0.372 | 0.007 | −1.40 |
| Taste | 1.378 | *** | 0.408 | 0.001 | 1.90 |
| Texture | 0.105 | 0.368 | 0.776 | 0.15 | |
| Nutrition | 0.531 | 0.35 | 0.130 | 0.73 | |
| Socio demographic | |||||
| Age group: base 1: Young | Reference Category | ||||
| 2: Adult | −0.798 | * | 0.416 | 0.055 | − |
| 3: Old | −0.892 | ** | 0.437 | 0.041 | − |
| Income level: base 1: Low | Reference Category | ||||
| 2: Medium | 0.823 | * | 0.420 | 0.050 | − |
| 3: High | 1.200 | *** | 0.455 | 0.008 | − |
| Constant | 4.483 | *** | 1.507 | 0.003 | |
| Mean dependent variable | 0.790 | SD dependent variable | 0.408 | ||
| Pseudo r-squared | 0.236 | Number of observations | 300 | ||
| Chi-square | 72.790 | Prob > chi2 | 0.000 | ||
| Akaike crit. (AIC) | 265.584 | Bayesian crit. (BIC) | 321.141 | ||
Note: ***, ** and * indicate significance at the 1%, 5% and 10% levels, respectively.
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