Revisiting the Oil-Growth Nexus : Evidence from Selected Oil \nImporting and Oil Exporting Countries
Bibliographic record
Abstract
This study investigates the impact of oil prices on economic growth in oil importing countries (China, Germany, Italy, India, Japan, Netherlands, South Korea, Spain and Thailand) and oil exporting countries (Brazil, Canada, Iran, Kuwait, Mexico, Nigeria, Norway, Russia, Saudi Arabia and United Arab Emirates), covering the period of 1995- 2021. Under the panel estimation approach, we can postulate that oil price is exerting a significantly positive impact towards economic growth for oil exporting nations, regardless of whether the time horizon is in short run or long-run contexts. On the other hand, oil importing nations tend to experience \nnegative impact from the oscillatory fluctuations in the oil price. It is proposed that policy makers in oil importing nations can respond to the positive oil price shock can be lessened by hedging product purchases using futures contracts on net oil-importing nations with poor \nexports of other commodities. Alternatively, for net oil-importers, pricing-based policies such as transferring price increases to consumers and providing subsidies can be implemented to reduce the negative effect of oil prices hikes towards the 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".