Financial inclusion of urban agro-processors: effect of credit on poverty status of roasted plantain vendors in Calabar, Nigeria
Notice bibliographique
Résumé
This study analysed the effect of credit on the poverty status of roasted plantain vendors in Calabar, Nigeria. The study described sources of credit, comparing the poverty status of credit recipients versus non-recipients, and the relationship between credit access and poverty index alongside the relationship between socioeconomic factors and poverty index. Data was collected from 110 randomly sampled roasted plantain vendors with the use of structured questionnaire. Poverty was measured with the Foster, Greer and Thorbecke (FGT) model class of weighted poverty measures. Descriptive statistics were used to examine poverty status, access to credit and the sociodemographic attributes of the roasted plantain vendors. Next, using descriptive statistics, the poverty status of the vendors who accessed credit was compared to those who did not access credit. Finally, the association between access to credit and poverty index was analyzed with logistic regression model while adjusting for the effects of sociodemographic factors. Descriptive statistics showed that 60% of the vendors were female, the average age was 35 years, and the average household size was four persons. Precisely, 91% of the roasted plantain vendors had completed primary or higher education. Exactly, 64.5% received credit, while 30.79% reported non-institutional lenders as sources of credit. The mean monthly income was N48,036.36 (US$116.89). Poverty incidence was lower among credit recipients (0.268) compared to non-recipients (0.487). Credit access (OR = .083, p<.01) and household (OR=2.496, p<.01) had statistically significant associations with the poverty index. Policies promoting structural transformation are recommended for sustainable financial inclusion. An effective economic growth and development program, for example, will increase productive capacities and reduce capital losses, increase creditworthiness, motivate capital expansion and sustainable growth. Also, it was recommended that cooperative formation among the vendors is required. Membership of such a cooperative will increase credit access through reduced transaction cost, higher group’s creditworthiness/borrowing experience and stronger negotiation capacity. A Nigerian economic transformation program to promote increased productive capacities and reduced capital losses is necessary for any financial inclusion policies to sustainably alleviate poverty among deprived agro-processors such as the roasted plantain vendors. Such programs will include financial literacy including banking and loan repayments, business innovations, and business plan development. Key words: Credit, Financial inclusion, Micro-agro-processors, Plantain roasting, Poverty, Urban agriculture
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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 | 0,000 | 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 ».