Attribute impacts and level scale values calculated from Table 4 by respondent category
| Male | Female | |||||||
|---|---|---|---|---|---|---|---|---|
| 20s | 30s | 40s | 50s | 20s | 30s | 40s | 50s | |
| Attribute impacts | ||||||||
| Country of growing | 0.054 | 0.277 | 0.432 | 0.310 | 0.294 | 0.502 | 0.215 | 0.368 |
| Country of processing | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| Country of the company | 0.094 | 0.102 | 0.133 | 0.153 | 0.224 | 0.235 | 0.259 | 0.133 |
| Level scale values | ||||||||
| Country of growing | ||||||||
| China | −2.416 (4)[3] | −3.510 (4)[3] | −4.373 (4)[3] | −3.194 (4)[2] | −4.003 (4)[3] | −3.594 (4)[3] | −3.561 (4)[3] | −3.943 (4)[2] |
| Thailand | −0.135 (3)[1] | −0.852 (3)[1] | −0.732 (3)[1] | −0.495 (3)[1] | −0.511 (3)[1] | −1.014 (3)[1] | −0.581 (3)[1] | −1.008 (3)[1] |
| Australia | 0.627 (2)[1] | 1.010 (2)[1] | 0.421 (2)[1] | 0.898 (2)[1] | 1.198 (2)[1] | 0.946 (2)[1] | 0.984 (2)[1] | 1.121 (2)[1] |
| Japan | 1.923 (1)[1] | 3.352 (1)[1] | 4.684 (1)[1] | 2.791 (1)[1] | 3.316 (1)[1] | 3.662 (1)[1] | 3.158 (1)[1] | 3.830 (1)[1] |
| Country of processing | ||||||||
| China | −1.686 (4)[2] | −2.660 (4)[2] | −3.205 (4)[2] | −2.953 (4)[3] | −3.299 (4)[2] | −2.935 (4)[2] | −2.798 (4)[2] | −3.614 (4)[3] |
| Thailand | −0.196 (3)[2] | −0.808 (3)[3] | −0.551 (3)[2] | −0.449 (3)[2] | −0.792 (3)[3] | −0.845 (3)[3] | −0.649 (3)[3] | −1.083 (3)[3] |
| Australia | 0.434 (2)[2] | 0.822 (2)[2] | 0.597 (2)[3] | 0.686 (2)[3] | 0.832 (2)[3] | 0.875 (2)[3] | 0.852 (2)[3] | 1.058 (2)[3] |
| Japan | 1.448 (1)[3] | 2.646 (1)[2] | 3.160 (1)[3] | 2.716 (1)[2] | 3.260 (1)[3] | 2.904 (1)[3] | 2.595 (1)[3] | 3.639 (1)[2] |
| Country of the company | ||||||||
| China | −1.509 (4)[1] | −2.253 (4)[1] | −2.895 (4)[1] | −2.479 (4)[1] | −2.983 (4)[1] | −2.929 (4)[1] | −2.656 (4)[1] | −3.361 (4)[1] |
| Thailand | −0.367 (3)[3] | −0.733 (3)[2] | −0.691 (3)[3] | −0.705 (3)[3] | −0.974 (3)[2] | −0.801 (3)[2] | −0.726 (3)[2] | −1.073 (3)[2] |
| Australia | 0.309 (2)[3] | 0.569 (2)[3] | 0.540 (2)[2] | 0.874 (2)[2] | 0.917 (2)[2] | 0.822 (2)[2] | 0.813 (2)[2] | 1.021 (2)[2] |
| Japan | 1.567 (1)[2] | 2.417 (1)[3] | 3.046 (1)[2] | 2.310 (1)[3] | 3.040 (1)[2] | 2.908 (1)[2] | 2.569 (1)[2] | 3.413 (1)[3] |
| Male | Female | |||||||
|---|---|---|---|---|---|---|---|---|
| 20s | 30s | 40s | 50s | 20s | 30s | 40s | 50s | |
| Country of growing | 0.054 | 0.277 | 0.432 | 0.310 | 0.294 | 0.502 | 0.215 | 0.368 |
| Country of processing | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| Country of the company | 0.094 | 0.102 | 0.133 | 0.153 | 0.224 | 0.235 | 0.259 | 0.133 |
| Country of growing | ||||||||
| China | −2.416 (4)[3] | −3.510 (4)[3] | −4.373 (4)[3] | −3.194 (4)[2] | −4.003 (4)[3] | −3.594 (4)[3] | −3.561 (4)[3] | −3.943 (4)[2] |
| Thailand | −0.135 (3)[1] | −0.852 (3)[1] | −0.732 (3)[1] | −0.495 (3)[1] | −0.511 (3)[1] | −1.014 (3)[1] | −0.581 (3)[1] | −1.008 (3)[1] |
| Australia | 0.627 (2)[1] | 1.010 (2)[1] | 0.421 (2)[1] | 0.898 (2)[1] | 1.198 (2)[1] | 0.946 (2)[1] | 0.984 (2)[1] | 1.121 (2)[1] |
| Japan | 1.923 (1)[1] | 3.352 (1)[1] | 4.684 (1)[1] | 2.791 (1)[1] | 3.316 (1)[1] | 3.662 (1)[1] | 3.158 (1)[1] | 3.830 (1)[1] |
| Country of processing | ||||||||
| China | −1.686 (4)[2] | −2.660 (4)[2] | −3.205 (4)[2] | −2.953 (4)[3] | −3.299 (4)[2] | −2.935 (4)[2] | −2.798 (4)[2] | −3.614 (4)[3] |
| Thailand | −0.196 (3)[2] | −0.808 (3)[3] | −0.551 (3)[2] | −0.449 (3)[2] | −0.792 (3)[3] | −0.845 (3)[3] | −0.649 (3)[3] | −1.083 (3)[3] |
| Australia | 0.434 (2)[2] | 0.822 (2)[2] | 0.597 (2)[3] | 0.686 (2)[3] | 0.832 (2)[3] | 0.875 (2)[3] | 0.852 (2)[3] | 1.058 (2)[3] |
| Japan | 1.448 (1)[3] | 2.646 (1)[2] | 3.160 (1)[3] | 2.716 (1)[2] | 3.260 (1)[3] | 2.904 (1)[3] | 2.595 (1)[3] | 3.639 (1)[2] |
| Country of the company | ||||||||
| China | −1.509 (4)[1] | −2.253 (4)[1] | −2.895 (4)[1] | −2.479 (4)[1] | −2.983 (4)[1] | −2.929 (4)[1] | −2.656 (4)[1] | −3.361 (4)[1] |
| Thailand | −0.367 (3)[3] | −0.733 (3)[2] | −0.691 (3)[3] | −0.705 (3)[3] | −0.974 (3)[2] | −0.801 (3)[2] | −0.726 (3)[2] | −1.073 (3)[2] |
| Australia | 0.309 (2)[3] | 0.569 (2)[3] | 0.540 (2)[2] | 0.874 (2)[2] | 0.917 (2)[2] | 0.822 (2)[2] | 0.813 (2)[2] | 1.021 (2)[2] |
| Japan | 1.567 (1)[2] | 2.417 (1)[3] | 3.046 (1)[2] | 2.310 (1)[3] | 3.040 (1)[2] | 2.908 (1)[2] | 2.569 (1)[2] | 3.413 (1)[3] |
Note(s): Values in parentheses indicate the preference order of the four countries for each COO-related attribute and for each respondent category. Values in square brackets indicate the preference order of the three COO-related attributes for each country and for each respondent category, which is calculated from the estimated attribute impacts and level scale values
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