The Relationship between FDI, Economic Growth and Financial Development in Cabo Verde
Bibliographic record
Abstract
This paper examines the relationship between foreign direct investment (FDI), economic growth and financial development in Cabo Verde for the period 1987-2014.The methodology involves the use of bound test approach to cointegration (ARDL) as well as the ECM-Granger causality analysis. The bound test indicated that there is a long-run relationship when the variable GDP and FDI are the dependent variable. Moreover, the results indicated that FDI has a positive effect on the economic growth in Cabo Verde. It also found a bidirectional causality between FDI and economic growth, i.e. FDI granger causes GDP and GDP granger cause FDI. Thus, we concluded that higher levels of FDI inflow mean higher levels of economic growth and vice versa for the economy of Cabo Verde. Furthermore, we found that both economic growth and domestic credit to private sector are important factors in stimulating the FDI into the country. These results found are important for the country policymakers to take appropriate measures to enhance and improve the condition for FDI inflow in Cabo Verde.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".