Non-Muslims’ acceptance of imported products with halal logo
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose This study aims to examine whether citizens of non-Muslim countries accept products with a “halal” logo. In the era of globalization, one of the most crucial issues for Muslim travelers is reliable halal foods when visiting non-Muslim countries. If people in non-Muslim countries accept imported products containing halal certification logos, and such products are readily available in shops, this issue could be substantially improved. Design/methodology/approach Malaysia and Japan were selected as Muslim and non-Muslim countries, respectively, to conduct a choice experiment (CE) for 656 non-Muslim subjects, and estimated willingness to pay (WTP) for mineral water with and without the halal logo. A random parameter logit model was used for estimation. Findings The difference between the WTP for mineral water with and without the halal logo was ¥5; however, the associated coefficient is not statistically significant. This implies that the halal logo has no impact on non-Muslim subjects’ purchasing behavior. From this, we can infer that the halal products with certification logo would be accepted in Japanese shops, which may foster foreign Muslim visits. Research limitations/implications As the results are based on a couple of countries (Malaysia and Japan) and only one product (mineral water), further investigation using other products in different countries would be necessary. However, as suggested in the main text, the results enjoy a degree of generalizability. Originality/value The results of this study support the possibility of circulating halal products in non-Muslim countries and thus promoting Muslim travel abroad. No such study has examined this issue using CE.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it