Analysis of the policies and measures adopted in the world and in Colombia against the practice of dumping in the steel sector
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Notice bibliographique
Résumé
In a globalized market such as the current world market, several modalities of price manipulation are carried out in the commercial scenario, which gives an option to companies falling into committing unfair trade practices, for this reason since the Last century Dumping has been a subject of great importance for treaties and agreements, at work a detailed study of the history of anti-dumping duties was made of how since 1904 in Canada the first law was promulgated and countries like NZ, AUS, SOA also followed this initiative in order to counter unfair practices, in the case of United States the Sherman Act was published to combat monopolies and monopoly attempts in trade, obtaining its first Anti-Dumping Law in subsequently articles, conferences, documents were published , letters, where Dumping was a relevant issue for the legislation of the countries. The anti-dumping codes are referred to a procedure for the adoption of anti-dumping measures and concepts necessary and applicable to them. The main cases of Dumping in the steel sector are also described, showing the countries involved date and duration of these measures. In the second chapter, the growth and falls of the steel industry are shown, making a detailed study for years of the eventualities that have affected this sector, focusing on the main producers and Colombia. Important statistics are shown to show the market share of the countries over the years. The third chapter recounts the cases of Dumping that have occurred in Colombia during the study period of the steel sector, showing how Colombia has been directly affected by this practice, which in most studies has shown existence of Dumping and relevant measures have been taken. In addition to this, an analysis of the anti-dumping applications is made against situations where measures have been taken, emphasizing the sector and showing that this industry is where most proven cases are presented.
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.
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 | 0,002 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,007 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 découle