The Role of Income in Trading‐Differentiated Agri‐Food Products: The Case of Canada, the United States, and Selected EU Countries
Bibliographic record
Abstract
This study investigates the role of income in determining the agri‐food exports of a subset of EU countries, Canada, and the United States by estimating per capita bilateral trade flows for 42 individual products categorized into nine product sectors across 52 countries for the period 1990–2000. About 43% of the total observations of bilateral trade flows for the selected regions and products are zero. Therefore, the fixed‐effects Heckman Maximum Likelihood estimation procedure is used to account for the zero observations. The results show that, in general, the three regions (Canada, the EU countries, United States) face statistically significant and positive income elasticities from developing countries. However, only Canadian and United States’ exports of agri‐food products benefit from elastic income elasticities. Middle‐income developing countries are the growth market of the future as growth in their expenditures on agri‐food imports outpaces the growth in their per capita incomes. Homotheticity is consistently rejected for Canada and the EU and less often for the United States. Thus, income plays an important role in agri‐food trade; however, further investigation is needed to better understand the forces that generate rather widely divergent results across countries and products. Dans la présente étude, nous avons examiné le rôle du revenu sur les exportations agroalimentaires de certains pays de l’Union européenne (UE), du Canada et des États‐Unis en estimant les échanges commerciaux bilatéraux par habitant de 42 produits issus de neuf secteurs de production dans 52 pays, pour la période allant de 1990 à 2000. Environ 43 p. 100 des observations d’échanges commerciaux bilatéraux pour les pays et les produits choisis étaient égales à zéro. Nous avons utilisé la méthode d’estimation du maximum de vraisemblance d’Heckman pour tenir compte des échanges nuls. Les résultats ont montré que, en règle générale, les trois zones (Canada, pays de l’UE et États‐Unis) sont confrontées aux élasticités−revenu positives et statistiquement significatives des pays en développement. Toutefois, seules les exportations canadiennes et étatsuniennes de produits agroalimentaires bénéficient d’une élasticité‐revenu élevée. Les pays en développement à revenu intermédiaire sont les marchés en expansion de l’avenir puisque la croissance de leurs importations agroalimentaires dépasse la croissance de leur revenu par habitant. L’homothéticité est systématiquement rejetée dans le cas du Canada et l’UE, et l’est moins souvent dans le cas des États‐Unis. Le revenu joue un rôle important dans le commerce agroalimentaire; toutefois, il faudrait effectuer des recherches supplémentaires afin de mieux comprendre les forces qui génèrent des résultats fort divergents entre les pays et les produits.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".