Three Essays on Agricultural and Food Trade Shocks and Regional Integration
Notice bibliographique
Résumé
This research investigates the impact of disruptions and regional integration on agricultural and food trade, relying on a unique international and intranational (domestic) agri-food trade dataset and structural gravity. In the first chapter, we investigate the impact of animal diseases on trade of animal-based products. We found that animal disease outbreaks decrease exports by 4% on average per year, amounting to annualized losses of 96 billion of 2019 USD. Trade quantities decline by 8% (51 million tons) on average per year. Impacts are mostly concentrated on consumer products (mainly pork), and low-income and lower-medium-income exporting countries. Our results suggest that animal diseases affect more domestic markets than foreign ones, and that dependent importers are the most sensitive to animal disease outbreaks abroad. Lastly, participation in the same RTA is found to mitigate animal diseases' trade impact, showing another potential channel through which regional integration could affect members' trade. In the second chapter, we explore the effect of the North American Free Trade Agreement (NAFTA) on agricultural and food trade flows. We consider the entire official lifetime of the agreement, including its 14-years phase-in period, which allow us to offer a comprehensive evaluation of one of the biggest trade agreements on agri-food trade. NAFTA is found to increase members' trade on average by 54%, corresponding to 11.9 billion of 2020 USD, annually. Trade involving Mexico, and especially Canada-Mexico, has increased substantially showing that trade agreements between developed and developing countries could be beneficial to both members. NAFTA's impact is found to be heterogeneous by products with cereals experiencing the biggest increase. Trade of products incompletely liberalized by NAFTA such as dairy, poultry, and eggs, did not increase as much as the trade of liberalized products. We do not find evidence of trade diversion, suggesting that NAFTA's agri-food trade gains did not come at the expense of trading with other partners. Lastly, NAFTA appears to be more trade enhancing (about four times more) than other agreements of Canada, Mexico and the U.S. (e.g. Canada-E.U., or Mexico-Brazil, or U.S.-Korea.) In the third chapter, we question whether trade agreements alleviate the impact of shocks on trade. More specifically, we investigate if RTAs mitigate the impact of exchange rate (ER) volatility on agri-food trade. We found that RTAs amplify the effect of ER volatility on agri-food trade. The trade impact of ER volatility on RTA members is found to be positive, suggesting that members' agri-food trade benefits from ER volatility, contrary to non-members' trade. This could result from larger profits from arbitrage due to reduced trade costs between RTA members. Our results display a strong heterogeneity according to sectors, exporters and importers' income, and level of integration of RTA. Only Partial Scope Agreements, the lowest regional integration level, amplify the effect of ER volatility on members' agri-food trade.
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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 | 0,002 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,006 |
| Études des sciences et des technologies | 0,002 | 0,004 |
| Communication savante | 0,005 | 0,005 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 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 ».