Modernizing the Energy Charter Treaty: facilitating foreign investment in the renewable energy sector
Bibliographic record
Abstract
The multilateral Energy Charter Treaty was concluded in the early 1990’s with the purpose of stimulating trade and investment in the energy sector between Western European countries and the countries of Eastern Europe and the former Soviet Union. To that end, rules were established regarding trade, investment, and the transit of energy. This dissertation examines the role that the treaty can play in the current energy transition, by analyzing how it can contribute to the facilitation of investments in the renewable energy sector. The main emphasis in this dissertation is on the investment chapter, which is in practice frequently invoked by renewable energy investors. By reference to economic theories and the business practice in the renewable energy sector, this dissertation comes up with various recommendations that could be considered in the recently initiated modernization process of the treaty. Since the investment chapter is analyzed against the wider background of international economic law, the recommendations conform to contemporary policy tendencies, as preferred by the Energy Charter Conference during the modernization process. Amongst the recommendations is that rules regarding investment protection are of great importance in the renewable energy sector, as practice already demonstrates, but that these should be accompanied by rules concerning investment promotion. Ideally, these rules would be concluded in the context of a broader agreement that also regulates trade, in both goods and services, since investment and trade in the renewable energy sector are closely interrelated.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".