Recent patterns of egg production and trade: a status report on a regional basis
Notice bibliographique
Résumé
In this paper the dynamics of global egg production between 1990 and 2007 and patterns of trade in 2006 are analysed. This time period was chosen, as the political landscape has changed considerably since the early 1990s. The dynamics of the global poultry industry over the past 17 years has been remarkable. No other branch of animal production has shown comparable growth rates. Global egg production increased from 35.2 million tons to 62.6 million tons or by 78%. The report shows that the growth has not been homogeneous but that regional shifts occurred which have changed the spatial pattern of egg production and of egg trade considerably. Whereas Asia has become the most dynamic growth centre and is dominating global egg production, Europe and North America have lost importance. More than 75% of the absolute growth of global egg production between 1990 and 2007 were contributed by China and India. The paper also presents a detailed analysis of global and regional trade patterns. In addition to a global overview, regions with the highest egg surplus and egg deficit are identified and characterised. In 2006, Western Europe was the region with the highest egg deficit. It was the most attractive market for shell eggs, with Germany in a leading position. The second major market for shell eggs was Western Asia. In this region, the United Arab Emirates, Iraq, Kuwait and Oman were the main egg importing countries. Other important egg deficit regions were Northern Europe, in particular the United Kingdom, Middle Africa with Angola as the leading importer, and Central Asia with Tajikistan and Kazakhstan. The highest egg surplus showed Southern Europe with Spain as the leading egg exporting country. Southern Asia ranked second with India and Iran as major exporters. Another egg surplus region was Eastern Europe with Poland and Belarus as leading egg exporting countries. In North America, the USA had the highest surplus, in South-East Asia Malaysia and Thailand. It can be expected that the recent spatial pattern of egg trade will not change very much in the near future. Egg trade will be dominated by European countries, most of the trade will, however, be intra-EU trade. The banning of cages in the EU could even make higher imports from adjacent non-EU countries necessary. A second cluster of egg trade will be located in Asia with Southern and South-Eastern Asia as surplus and Western as well as Central Asia as deficit regions. The third cluster will be the NAFTA member countries with the USA as exporting and Canada and Mexico as importing countries.
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 | 0,001 |
| Bibliométrie | 0,004 | 0,007 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».