Bibliographic record
Abstract
This paper uses econometric analysis to explore the determinants of export growth rate in Madagascar over the period 1985-2013. Based on the model, variables of export price, Foreign Direct Investment (FDI), world Income, terms of trade, real exchange rate and farm gate price are employed. The results show that export growth rate, export price, FDI, world income, terms of trade, real exchange rate and farm gate price are co integrated. The estimated long run (short run) elasticity of export growth rate with terms of trade show significantly a positive impact on export growth rate whereas farm gate price negative effect. However, in term of the real exchange rate, in short run, it stimulates export growth as an incentive in form of depreciation of the currency but in long run the positive elasticity expressing an appreciation of the currency affect export growth rate negatively. The FDI and world income a weak positive influence on the export growth rate. The effect of export price level on export growth rate is not verified implying that the price does not explain export growth rate in Madagascar.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".