Impact of Financial Liberalization on Private Investment: Empirical Evidence from Nigerian Data.
Bibliographic record
Abstract
This study examines the nature of the relationship between financial liberalization and private investment in Nigeria from 1970 to 2012. The regression analysis reveals that financial liberalization, proxied by real interest rate (RINTR) has a statistically significant positive impact on private investment. Furthermore, the Chow-test result shows that there was a structural break between financial liberalization and private investment in Nigeria within the period under review. This change in relationship can be attributed to the Structural Adjustment Programme (SAP) embarked upon by the Nigerian government in 1986 which liberated the financial sector from acute repression. In addition, the Granger causality test shows that although there was dependence between financial liberalization and private investment, none caused the other. This study therefore concludes that private investment which is enhanced by private savings, financial liberalization and other key variables, is fundamental in the achievement of sustainable economic growth and development. The study therefore recommends that government should create enabling environment for private investment to thrive.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 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".