Efectos del consumo de energía renovable en el comercio internacional de los países del T-MEC. Un análisis de datos panel 1989-2019
Bibliographic record
Abstract
This paper examines the effect of renewable energy consumption, electricity \ndemand, sustainable economic growth and carbon dioxide (CO2) emissions \non international trade in the countries of U.S. – Mexico – Canada Agreement \n(USMCA). To do this, unit root, cointegration and causality tests are applied, \nand the long-term relationship between the variables is estimated. The results \nsuggest that the variables are integrated of different order and that there is a \nlong-term equilibrium relationship between them. There is a positive rela- \ntionship between the consumption of renewable energy, the demand for elec- \ntrical energy and sustainable economic growth on international trade, while \nCO₂ emissions reduce it. This implies that it is important to analyze energy \npolicies that encourage increased consumption of renewable energy to boost \ninternational trade, in order to accelerate sustainable economic growth in the \nregion. In addition, the feedback relationship between CO₂ emissions and \nthe demand for electrical energy could have important implications within \nthe energy and environmental policy for the panel of countries in the region.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".