Consumer Perspectives on Fairtrade Prices
Notice bibliographique
Résumé
Worldwide consumer support of disadvantaged producers from developing countries has been encouraged through a variety of options, including the acquisition of Fairtrade-certified products. Prior studies showed that consumers’ purchases of Fairtrade products are driven by moral incentives and economic factors. Among the economic factors, only cursory research attention has been paid to a key aspect influencing purchases: the specific price of the Fairtrade item as compared to the price of non-Fairtrade items in the same product category. The price difference between Fairtrade and non-Fairtrade items can range anywhere from 0% to 70% or higher. This aspect is becoming ever more important in light of recent calls toward setting a price premium level of 100%, up to 200% in some categories, to reflect the changes in producers’ working conditions and living standards triggered by the global pandemic. Our studies suggest that such increases may not have the desired outcome. We hypothesize a negative relationship between the price premium and consumers’ willingness to pay (WTP) for Fairtrade items, testing this proposition in six cross-cultural studies. Our studies involve surveys administered to cross-sectional samples of consumers from the United States, from Canada, and samples of students from large North American universities. The surveys assessed consumers’ willingness to buy Fairtrade products using 7-point Likert scales (1 = “very unlikely to choose the Fairtrade product”; 7 = “very likely to choose the Fairtrade product” at the specified price premium level), for various product categories. Linear mixed-effects models for repeated measures (within-participants data) were employed for the key analyses. The significant finding of a negative relationship between the price premium and WTP supports our Hypothesis in each study, underscoring that as the Fairtrade premium is set at increasing levels (from 0% to 2%, 10%, and 25% higher price for the Fairtrade items), consumers’ average willingness to pay is significantly diminished, decreasing from 6.43 (MWTPat0%premium) to 5.56 (MWTPat2%premium) to 4.19 (MWTPat10%premium) to 2.95 (MWTPat25%premium) in Study 1; from 6.15 (MWTPat0%premium) to 5.37 (MWTPat2%premium) to 4.08 (MWTPat10%premium) to 2.98 (MWTPat25%premium) in Study 2; from 6.16 (MWTPat0%premium) to 5.34 (MWTPat2%premium) to 3.89 (MWTPat10%premium) to 2.27 (MWTPat25%premium) in Study 3, and from 6.39 (MWTPat0%premium) to 5.62 (MWTPat2%premium) to 4.45 (MWTPat10%premium) to 3.22 (MWTPat25%premium) in Study 4. These findings highlight actionable policy implications of marketing Fairtrade products to consumers, with a focus on the price component of the marketing mix. From a theoretical perspective, our research sheds light on the less-than-straightforward consequence of Fairtrade premium increases: we propose and show that the economic model is more applicable than the contributions/donations model in the context of Fairtrade. We emphasize that Fairtrade should not be regarded conceptually as just a special case of social contributions, because general helping theory is not able to account for the particularities of Fairtrade. Also, the impact of the price premium level on Fairtrade purchases is shown to have a different direction compared to the field of cause-related marketing purchases, revealing notable conceptual and empirical distinctions between these fields.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,004 |
| Communication savante | 0,005 | 0,003 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».