Can foreign aid contribute to sustained growth? A comparison of selected African and Asian countries
Notice bibliographique
Résumé
Purpose Identifying if aid flows have contributed to economic growth or growth divergence between a sample of Asian and African countries is the purpose of this paper. Using data over the period of 1980–2015, the paper attempts to establish whether aid, in any of its forms, has played a role in economic growth in these countries. Design/methodology/approach A comprehensive literature analysis over the past 70 years sets the scene for the paper. A panel data fixed-effects model is applied for each sample (Africa and Asia) between 1980 and 2015. Both theoretical predictions and empirical studies are used to derive the independent variables selected for modelling. Findings The findings strongly suggest that aid flows in both the Asian and African samples have no relation at all to either long-run growth paths or growth divergence. However, there is a suggestion in the case of the Africa sample that governance decline may well be the primary source of growth divergence. Research limitations/implications This result cannot be generalised because it only focuses on six countries but as demonstrated in the paper, other possible samples (from both regions) actually make no difference to the results. It could also be argued (given the comprehensive literature analysis presented here) that it is not essential to have a theoretical relationship between aid and growth because aid is given to different countries with very different characteristics, needs, governance and policy environments. Practical implications Donor countries must play a more supervisory role to ensure aid flows are directed to the right channels in recipient countries. Aid should be given to countries which have a certain degree of macroeconomic stability and “good” policy to ensure effectiveness. They also need to pay attention to the sectoral distribution of aid as do recipient countries to better allocate aid flows to productive sectors that contribute to both short- and long-term growth. Social implications These are not given much emphasis in this paper. Originality/value Most aid–growth studies are based on a large number of countries from different regions with different characteristics or on a single country case. This paper compares between two samples of countries sharing the same characteristics to overcome the heterogeneity problem. This paper is based on a more protracted time series from 1980 to 2015 to capture more accurately the impact of foreign aid on economic growth.
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 | 0,001 | 0,001 |
| 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 ».