The Link between Economic Growth and Ecological Footprint: What Future Prospects for the G7 Countries: PMG-ARDL
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
Given the need to achieve economic development while preserving environmental quality, our main objective in this article is to study the impact of economic growth on the ecological footprint in the G7 countries (Italy, France, Canada, the United States, United Kingdom, Japan, Germany) over the period 1961-2018. By studying the environmental Kuznets curve (EKC) using the dynamic ARDL panel, we found that the relationship between EFP (ecological footprint) and GDP is N-shaped. In the renewable Kuznets curve (RKC), we found a U-shaped relationship. The international investment position and debt then contribute to pollution, and the consumption of renewable energy reduces CO2 emissions. However, additional efforts are needed to promote renewable energy in the countries analyzed.
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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 | 0.001 | 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 | 0.001 | 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) | 0.000 | 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