Imports in the EU's renewable energy policy: environmental non-tariff barriers and developing country biodiesel
Bibliographic record
Abstract
In response to the negative externalities associated with the intensification of biofuel production; the spike in food prices in 2008 and threats to biodiversity, the European Union revised it biofuels policy to reduce its negative impact on the environment and food security. It did not, however, revise its renewable fuels policy which mandates ambitious consumption targets. The framework used to mitigate the negative externalities of environmental degradation (GHG emissions) and food insecurity through the diversion of land used for food production into the production of biofuels crops is Directive 2009/28/EC. The revised policy applies to the production of biodiesel imports from developing countries. The restrictions on land use and the proof required will make it difficult for developing countries to produce biodiesel for the EU market. The paper outlines the EU requirements and the problems developing countries will face in supplying biodiesel to the EU.
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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 | 0.001 | 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 | 0.000 | 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 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".