Influence of migrant remittances on socio-economic indicators of the country.
Notice bibliographique
Résumé
The ever-increasing global migration is an important phenomenon affecting countries' socio-economic performance. The impact of migration on the country's socio-economy depends on the age and education of the people who left the country. The most common consequences of migration are an ageing society, a brain drain and declining activity. Both the migration and their remittances have an impact on the country's socio-economic performance. Migrants send remittances for various reasons, but the most common motive is altruistic. Migrant remittances are seen as a stable, non-declining source of finance for receiving families, even in crisis times. Remittances are also important from a macroeconomic perspective: in a quarter of the world, remittances account for more than 4 % of GDP. The impact of migrant remittances on the country's socio-economic indicators is increasingly being studied due to the lack of information on this topic in the scientific literature. Migrants' growing trust in official remittance channels allows for increasingly accurate results in the new research. The growth of migration is observed in the EU member states and the rest of the world. An increase in remittances in the EU has been observed after the expansion of the EU in 2004. This study aims to examine the impact of remittances on the socio-economic indicators in the countries that joined the EU in 2004. The objective is to study the impact of migrant remittances on the country's socio-economic indicators. The research reveals the problems and presents theoretical solutions to the effects of remittances on socio-economic indicators. The methodology developed is used to assess the impact and evaluate the results of migrant remittances on the country's socio-economic indicators in the EU10. The impact of migrant remittances on the country's socio-economic indicators is mixed in the scientific literature. Researchers say rising remittances boost the country's GDP and reduce poverty, but there is also a contrary view among researchers. This disagreement defines the research problem: what impact do migrant remittances have on a country's economy based on socio-economic indicators? Regression and correlation analyses were performed to explain the effects of remittances. An empirical study of the EU10 countries has shown that migrant remittances positively impact GDP in the short run. Impacts have been identified in Estonia, Cyprus, Latvia, Poland, Lithuania and Slovenia. This result confirms the opinion of most researchers. Different effects of remittances have been identified on the S80/S20 income distribution indicator. Slovakia and Cyprus have seen a narrowing of the S80/S20 income distribution ratio, while in Malta, it has increased. The results of the S80/S20 analysis of income distribution are in line with the different findings in the scientific literature on the impact on income inequality. Both the literature and this study have found positive and negative effects of remittances. The study results show that remittances positively impact employment rate in Poland, i.e. as remittances increase, employment rate increases. This conclusion is not in line with the opinion of scientists about the negative impact of remittances on the country's employment rate.
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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 | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,002 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 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 ».