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Enregistrement W1538408351

Argentina: The anatomy of a crisis

2002· preprint· en· W1538408351 sur OpenAlexaboutno aff
Jiří Jonáš

Notice bibliographique

RevueEconstor (Econstor) · 2002
Typepreprint
Langueen
DomaineSocial Sciences
ThématiqueInternational Development and Aid
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAnatomyMedicine
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Argentina: the Anatomy of a CrisisJiri Jonas 1 underdeveloped country.Unlike some other countries in Latin America, it did not have rich deposits of precious metals (not that having one would have automatically ensured a more prosperous economy, though!), its more moderate climate did not allow it to grow tropical products like coffee, which was an important export commodity of other countries in the region.And the geography did not cooperate either: being so distant from main markets in Europe did not provide much impetus to trade anyway.Argentina's economic fortune began to change only in the last quarter of the 19 th century.Two important technological innovations have helped Argentina: improvement in storage and conservation of agriculture products, mainly meat, and progress in transport technology.Cheaper transport and better conservation made remote markets in Europe and North America suddenly accessible to Argentinean exporters. 2Thanks to a very fertile soil of pampas, Argentina's export of agriculture products, mainly to European markets, began to grow fast.A poor and underdeveloped Spanish colony began to turn quickly into a relatively prosperous country.Success breeds success, and Argentina became an attractive destination for labor and capital from Europe.Together with Canada, Australia and United States, Argentina attracted large amount of capital particularly from the United Kingdom, major capital-exporting country of that time. 3 However, large inflow of foreign capital brought a problem well known to emerging market countries one hundred years later: financial crisis.Two powerful forces combined to accelerate capital flow to Argentina and other -at that time "emerging" -countries, Australia, United States and Canada: investors' expectations about high returns, and loose liquidity conditions and low interest rates in countries exporting capital, mainly United Kingdom.Unfortunately for Argentina, large inflow of foreign capital in the 1880s has stimulated not only investment, but also consumption.While Argentina's exports rose as well, country's capacity to improve its export earnings on a sustainable basis in order to be able to service future debt repayment did not improve sufficiently.At the same time, poor governance of domestic banks resulted in such unhealthy practices as connected bank lending and bank financing of government deficits and development projects.When monetary conditions were tightened as Bank of England increased interest rates in second half of 1889, capital flow to Argentina suddenly stopped and the country had to sharply adjust its current account balance from a deficit to a surplus, by tightening macroeconomic policy.Excesses of But while a timely exit from the gold standard may have been a positive step and while protective measures could have brought a temporary relief, they were not helpful in the longrun.The Great Depression marked the beginning of a different economic strategy -strategy based on import substitution and closing of the economy.Initially, this policy strategy has brought encouraging results.The economy has recovered rapidly from the crisis and began to grow strongly after 1932, at the time when many other countries were still deep in recession.But this recovery was not to last and instead, Argentina began its long descend on the ladder of relative economic performance (see table 1).Table 1.Product per capita in selected countries (in 1985 PPE dollars 1/) USA

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,648
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,001
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0100,001

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.

Tête enseignante Opus0,024
Tête enseignante GPT0,293
Écart entre enseignants0,270 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2002
Routes d'admission1
Résumé présentoui

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