Examining the Foreign direct investment, Renewable energy consumption, and economic growth nexus in MENA countries: A bootstrap ARDL evidence
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study examines the relationship among foreign direct investment, renewable energy consumption, and economic growth for seven Middle East and North Africa countries over the period 1980–2017 using the bootstrap autoregressive distributed lag test. The long run analysis reveals evidence of cointegraion among FDI inflows, renewable energy consumption, and economic growth in all countries except Iran and Turkey, where real GDP is used as the dependent variable. A similar result is observed in economies, with the exception of Mauritania when FDI inflow is treated as a dependent variable. Whereas, when RE is taken as a dependent variable, cointegration does occur in Algeria, Mauritania, Morocco, and Tunisia. In regards to the direction of causality, the analysis provides varied results among diverse variable for various countries. In this context, this study recommends increasing public awareness and attention in the advantages of renewable energy and clean technologies.
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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 | 0.002 | 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 | 0.000 |
| 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 it