The Effect of Financial Development on Economic Growth in Sudan: Evidence from VECM Model
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Bibliographic record
Abstract
The paper seeks to investigate the dynamic relationship between financial development and economic growth in Sudan during 1970–2012. Using Johnson approach to Co-integration and Vector Error Correction Model (VECM) to find out the long and short run effect of the financial sector development on economic growth. The test for Co-integration shows that there is a linear long run relationship between real GDP growth and financial development. The empirical results show that there is a marginal positive effect of financial sector development on economic growth in Sudan. Coefficient of error correction term is (-0.255) signifying about 25.46 percent annual adjustment towards long run equilibrium which is guaranteed the occurrence of a stable long run relationship among the variables. Financial sector reforms and changes into real sector required in order to allocate the financial resources efficiently. Hence, policy makers required to review the legal and institutional arrangements which contribute for financial repression to hinder financial sector efficiency.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it