Recovery In Trade Between The Edb Countries
Notice bibliographique
Résumé
The stabilisation of commodity prices and the resultant stabilisation of national currencies in most EDB countries in 1Q 2017 create a favourable basis for a recovery in trade in the EDB region. Suffice it to note that all EDB countries showed growth in mutual trade turnover in 1Q of the year; notably, the highest turnover growth rates were observed in Kazakhstan (nearly 41% y-o-y) and the Russian Federation (33.7% y-o-y). The situation with the countries’ mutual ties also improved as regards migrants’ remittances: growth in remittances to Kyrgyzstan exceeded 54% in 1Q 2017, while in Armenia this indicator was 14% y-o-y in 1Q 2017. In this review, our special report focuses on macroeconomic ties among the EDB countries and the economic growth transmission channels, mainly as regards foreign trade and remittance flows. Our study testifies to a considerable role of these factors in the regional countries’ economic recovery, but we also note that the region’s economies remain highly vulnerable to external shocks, and to energy price fluctuations above all. Russia’s economic growth outlook for 2017 has improved from 0.8% to 1.3%. The projection change was influenced by the first quarter’s economic data and a revised oil price projection that took into account the first quarter’s trends in world energy prices. The improvement in the Belarusian GDP projection from minus 0.5% to positive 1.3% over 2017 is caused by higher than expected economic activity recovery rates in the 1st quarter and by the agreement reached on gas prices and oil supply from the Russian Federation. Kazakhstan’s improved GDP outlook is caused by stronger external demand and by the expansion of the State budget deficit with a view to revitalising the banking system. More optimistic assumptions concerning the foreign economic situation and a revised fiscal boost were the main factors behind the improved GDP outlook for Kyrgyzstan. Tajikistan’s economic growth projection was revised downwards as its banking sector situation deteriorated. A key risk for the remainder of 2017 is renewed volatility in the commodity markets after a period of strengthening exchange rates of some EDB countries’ currencies. Early May developments in both the Russian and Kazakh financial markets showed that, after a considerable strengthening in the preceding months, the national currencies have become more sensitive to increased volatility in oil prices. We expect that, given the increased external risks, the CB of the Russian Federation may harden its rhetoric and slow the reduction in the key rate.
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 | 0,006 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,003 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,003 |
| 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 ».