Développement financier et transformation structurelle des pays africains de la zone Franc : une approche panel-VAR
Bibliographic record
Abstract
The African countries of the Franc Zone are on the margin of the observed industrialization process in several developing countries around the world. This research examines the relationship between the development of the financial sector and the industrialization of African economies in the Franc Zone. A vector auto regressive model (VAR) with errors corrections is used in order to better determine the effects of a financial innovation on industrialization over time. The results show that a shock on bank credit allocated to the private sector has a negative short-term and a positive long-term effect on the manufacturing sector. This negative effect takes longer before easing in the CAEMC (CEMAC) zone compared to the WAEMU (UEMOA) zone. Moreover, the dynamics of the manufacturing sector remains insensitive to the shocks on the monetary aggregate M2 and the inflation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 teacher head, 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".