Impact of Foreign Investment in the Yemen's Economic Growth: The Country Political Stability as a Main Issue
Bibliographic record
Abstract
This paper investigates the moderating role of political stability in the Foreign Direct Investment (FDI) inflows into Yemen over the last two decades. Augmented Dickey Fuller (ADF) test was employed to check the stationary of the data. Following the ADF test, the standard and hierarchal regression approaches were used for the analysis. The standard regression results show that the GDP growth rate has significant negative effects on FDI inflows into Yemen while exchange rate, inflation rate, balance of payment, and gross national income have no effect on the FDI inflow in the country. However, when the moderating variable, political stability is used together with other variables such as exchange rate, inflation rate, balance of payment and gross national income, the results of hierarchical regression indicate that these variables are important determinants of FDI inflows into the country. Therefore, the results suggest that political stability is critical for the future growth of Yemen economy.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".