Picking the Right Arrow for the Target: Modelling the Economic Impact of Remittance on Agribusinesss Entreprenuership and Youth Employment in Sub-Saharan Africa
Notice bibliographique
Résumé
The consequences of conflictual views on modelling the economic impact of remittances on agribusiness entrepreneurship and economic growth, has been present for a long time in the economic literature, albeit in a somewhat scattered way. This has attracted wide-spread criticism for agribusiness inititaives and its failure to address rural unemployment within the context of youth participation in the global food markets. This paper provides a summary of the global evidence published in the thematic area of international migration-remittance and sustainable development with emphasis on the financialisation impact of remittance on agribusiness entreprenuership and economic growth. The paper selectively reviews over 100 documented cases that offer insights into the methodological approaches for empirical modelling of remittance studies around the world. The paper bridges different stands of literature in economic and business management sciences and exemplifies the new complementaries between remittance, agribusiness and supply chain developments. Much as the paper advances no particular theory for modelling the economic impact of remittances on agribusiness entreprenuership and growth, it clearly offers insights into picking the appropriate methodological approaches for empirical estimation of the net effects of remittances on agribusiness entrepreneurship and rural youth employment in Africa, Asia and Latin America. The paper pinpoints ample evidence and brings a case for use of randomized experimentation approaches in Sub-Saharan Africa prone to the vagaries of weather- shocks and climate change. The paper further elaborates the nexus between remittance and contemporary development themes of poverty reduction and inequality, investment and savings, labour supply participation and economic growth. The experimental evidence reported around the globe showed that remittances have positive effects on poverty reduction but negative ramifications for labour supply, education, and economic growth. The analysis made a startling discovery which demonstrated that although, remittances reduced labour supply participation in developing economies; it significantly increased consumption of luxury goods in migrant households and made no positive contribution whatsoever to economic growth. This sorepoint courts new attention on resolution of the dilemma of remittance on economic welfare and advances an immediate redress of the emerging crises of methodological misuse in Development economics. Specifically the paper finds penalties with choice of methodological approaches for modelling the economic impacts of remitance on agribusiness entrepreneurship and economic welfare and advocated the inculcation of political economy perspectives in order to intergrate the multidimensionality of the complicated linkages of remittance to agribusiness entrepreneurship, rural youth employment and sustainable economic growth.
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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 | 0,003 | 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 | 0,001 | 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 ».