Perception and willingness to contribute towards food banking in the Ashanti Region of Ghana
Notice bibliographique
Résumé
Purpose The purpose of this study is to examine the perception and willingness to contribute towards food banking in the Ashanti Region of Ghana. Design/methodology/approach Structured questionnaire was used to elicit primary data for the study from 385 respondents via the multistage sampling approach. The quantile regression model was used to analyse the factors that influence the willingness to contribute towards food banks across quantiles of contribution. Factor analysis was further used to examine the perception of food banking. Findings Gender, education and awareness influence the quantiles of contribution. Gender positively influences contribution at the 0.50 quantile. Education negatively affects contribution at the 0.25 and 0.50 quantiles whereas awareness influences contribution at the 0.75 quantiles. The benefit perception of the user and the social status perception of receiving food from food banks convey a sense of positive knowledge concerning what food banking should entail. Research limitations/implications The study provides insights on the determinants affecting the contribution towards food banking across quantiles of contribution. However, it worth noting that, the study uses cross-sectional data which fail to account for the changes over time. A Longitudinal study would therefore be imperative concerning the implementation of food banking. Practical implications The perceived positive knowledge of food banking is suggestive that, the Government of Ghana through the Ministry of Food and Agriculture (MOFA) should strengthen measures directed towards the implementation of food banking. Moving forward, non-governmental organisations on the verge of conducting a pilot implementation of food banks should give critical focus to the given area of study as the inhabitants are most likely to be attuned to such a course. Finally, to champion contribution amongst the inhabitants, leaders of food banking initiatives and other stakeholders should work in conjunction with residents that are aware of food banks at the high-income class. This procedure would aid in reducing the chances of low contributions to the implementation of food banking. Social implications This paper provides empirical implications for the development of food banks in Ghana. The findings emanating from this study has substantial social implications, because it serves as an instrumental guide to the implementation of food banks by the MOFA, and when implemented would assuage the poor living conditions of individuals that do not meet a three-square meal per day. Originality/value In this research, the authors add to the body of knowledge by employing a quantitative approach. Moreover, the authors extend the frontiers of the methodological approach by using the quantile regression model to understand the factors that influence the contribution towards food banking across quantiles of contribution. Furthermore, several studies in the developed world have been geographically limited to UK, USA, Canada and Germany with few studies in Ghana. Besides, there is limited rigorous empirical study of the perception and willingness to contribute towards food banking in Ghana.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».