The Economic Effects of Integration in the Central African Economic and Monetary Community: Some General Equilibrium Estimates for Cameroon
Bibliographic record
Abstract
In this paper we quantitatively assess the impact of the CEMAC on its largest member, Cameroon. We find that Cameroon will gain between 0.41 and 0.62 percent of its GDP. Our decomposition shows that the part of the agreement that calls for further preferential reduction of tariffs is immiserizing, although given the low level of intra‐regional imports, the quantitative impact is quite small. Improved access to partner country markets accounts for about one‐quarter of the gains. We find, however, that about three‐quarters of the gains come from reduction of Cameroon’s tariff against the rest of the world. Moreover, our estimates for Cameroon’s unilateral trade liberalization show that it can gain marginally even more from full unilateral trade liberalization than it can from implementation of the CEMAC arrangements. Our results incorporate, in an otherwise small open economy model, the fact that Cameroon may possess regional market power, and we assess the difference in results with models that have no regional market power. Dans cet article, nous évaluons quantitativement l’impact de la CEMAC sur son pays membre le plus important par son poids économique: le Cameroun. Nos estimations indiquent que le Cameroun enregistrera un gain compris entre 0,41% et 0,62% de son PIB. La décomposition de cet impact montre que l’approfondissement des préférences tarifaires réduit le bien‐être, même si compte tenu du faible niveau des importations intra‐régionales, son impact quantitatif apparaît assez faible. L’amélioration de l’accès aux marchés des partenaires régionaux explique environ un quart des gains. Cependant, environ trois quarts des gains sont expliqués par la réduction par le Cameroun de ses tarifs vis‐à‐vis du reste du monde. De plus, nos estimations indiquent qu’àla marge, le Cameroun gagnerait plus d’une libéralisation commerciale unilatérale que de la mise en oeuvre des accords de la CEMAC. Nos résultats incorporent dans ce qui est par ailleurs un modèle d’une petite économie ouverte, le fait que le Cameroun puisse posséder un pouvoir de marché régional, et nous comparons les résultats àceux des modèles sans pouvoir de marché régional.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".