Currency Manipulation, the US Economy, and the Global Economic Order
Notice bibliographique
Résumé
More than 20 countries have increased their aggregate foreign exchange reserves and other official foreign assets by an annual average of nearly $1 trillion in recent years. This buildup—mainly through intervention in the foreign exchange markets—keeps the currencies of the interveners substantially undervalued, thus boosting their international competitiveness and trade surpluses. The corresponding trade deficits are spread around the world, but the largest share of the loss centers on the United States, whose trade deficit has increased by $200 billion to $500 billion per year. The United States has lost 1 million to 5 million jobs as a result of this foreign currency manipulation. The United States must eliminate or at least sharply reduce its large trade deficit to accelerate growth and restore full employment. The way to do so, at no cost to the US budget, is to insist that other countries stop manipulating their currencies and permit the dollar to regain a competitive level. A US strategy to terminate currency manipulation, especially if undertaken together with some of the other countries that are adversely affected by the practice (including Australia, Canada, the euro area, Brazil, India, Mexico, and numerous developing countries), would be fully compatible with its international obligations. The proposed coalition should first seek voluntary agreement from the manipulators to sharply reduce or eliminate their intervention. If they do not do so, however, the United States should adopt four new policy measures against their currency activities: (1) undertake countervailing currency intervention (CCI) against countries with convertible currencies by buying amounts of their currencies equal to the amounts of dollars they are buying themselves, to neutralize the impact on exchange rates, (2) tax the earnings on, or restrict further purchases of, dollar assets acquired by intervening countries with inconvertible currencies (where CCI could therefore not be fully effective) to penalize them for building up these positions, (3) treat manipulated exchange rates as export subsidies for purposes of levying countervailing import duties, and (4) hopefully with other adversely affected countries, bring a case against the manipulators in the World Trade Organization that would authorize more wide-ranging trade retaliation. In the first instance, this approach should be taken against eight of the most significant currency manipulators: China, Denmark, Hong Kong, Korea, Malaysia, Singapore, Switzerland, and Taiwan. Japan may need to be added if it pursues new Prime Minister Abe's stated intention to force a sharply weaker yen through dollar purchases. Bergsten and Gagnon believe that cessation of intervention by these countries will permit most of the other interveners to desist as well, without their being directly approached, because much of their intervention is aimed at avoiding competitive loss to the largest manipulators (especially China).
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,004 |
| Communication savante | 0,007 | 0,003 |
| Science ouverte | 0,000 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,010 | 0,001 |
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 source (Gemma direct ou Codex distillé), 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 ».