Assessment of Dried Plantain Marketing in Akure-North Local Government Area of Ondo State, Nigeria
Notice bibliographique
Résumé
Despite the numerous prospects and potentials that the marketing of plantain and its products holds, studies seem not to have existed on the marketing of dried plantain in Nigeria. Although several researches have been conducted to examine the economics of plantain processing and marketing, there appears to be a paucity of knowledge with respect to dried plantain marketing. It is on this premise that this study assess the marketing of dried plantain in Akure-North Local government of Ondo State, Nigeria. Specific objectives of the study include: examining the market structure and conduct of dried plantain market, estimating the profitability of dried plantain marketing, identifying the factors that influence the profitability of dried plantain marketing and identifying the various constraints militating against dried plantain marketing. A multi-stage sampling technique was used to select one hundred respondents in the study area and well-structured questionnaires were administered to collect relevant data. Gini-coefficient, regression analysis and gross margin analysis were used to analyse the data collected for the study. The results from the analysis showed that 58% of the marketers were within their economic productive age. About 54% of the marketers were females and a total of 65% were married. Analysis revealed that the dried plantain market was dominated by retailers which accounted for 50% of the marketers. A Gini-coefficient of 0.6 is an indication of high-level concentration in dried plantain market and an unequal income distribution among the marketers. The profitability analysis revealedfurther that dried plantain marketing is worthwhile with an average profitof ₦24,730 per month and a return of 18% or ₦0.18, for every ₦1 invested. The significant profitability determinants identified from the regression analysis include purchase cost and transportation cost involved in dried plantain marketing. The constraints faced by dried plantain marketers in the study area include irregular supply, low demand, transportation challenges, high cost of supply and perishability of the product. This study, therefore, recommended the need for government and relevant stakeholders to address infrastructural challenges such as bad roads. We also recommended that the marketers should form cooperative society to facilitate their marketing operations and also enable them to have access to credits and expand their business
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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 ».