Air Pollution, Economic Growth, and the European Union Enlargement
Bibliographic record
Abstract
This study examines the Environmental Kuznets Curve (EKC) hypothesis between the levels of air pollution and per capita income growth, considering the largest enlargement of the European Union (EU). Four different measures of environmental quality, SPM, NOX, SO2, and CO2, are employed for three different country groups: the core fifteen countries of the EU before its largest enlargement, the twenty five EU countries after the enlargement, and the new ten countries that became the members of the EU after this enlargement process. The results present a statistically significant U-shaped EKC relationship between each of the air pollutants and per capita income growth for the core fifteen EU member countries and the twenty-five countries after the enlargement. These findings imply that beyond a certain level of GDP, a further rise in income can only be reached at the cost of environmental degradation. For the third country group of the study, the countries that joined the EU after its largest enlargement, there is no statistically significant evidence for the existence of an EKC in any type.
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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 | 0.003 | 0.009 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".