Impact of Morocco-ECOWAS Economic Relations on Economic Growth in Morocco: An Analysis Using the ARDL Model
Bibliographic record
Abstract
Over the last decade, Morocco has undertaken numerous reforms in order to successfully integrate itself into the global economy in general, and Africa in particular, with the aim of diversifying and strengthening its competitive export potential.In fact, the analysis of trade relations between Morocco and ECOWAS reveals an increasing volume of trade, reflecting a continuous dynamization of their commercial relations. A similar trend is observed in foreign direct investment, which has been growing steadily over the last few years, reflecting Morocco’s desire to become a major player in the development of the African continent.The analysis of Morocco’s trade opening and foreign direct investment (FDI) in ECOWAS on Morocco’s economic growth, using ARDL (Autorégressive distribution Lag) modelling, shows that Moroccan foreign direct investment to ECOWAS has a significant impact on its GDP per capita in the short and long term. With regard to bilateral trade between the two partners, no long-term equilibrium relationship could be established due to the still low weight of trade volumes.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".