Comparative Legal Aspects of the EU and Russia Policy in the Field of Green Financing
Bibliographic record
Abstract
The purpose of the article is to consider, using the example of the EU and Russia, potential challenges and problems of legislative regulation of green finance in the framework of the implementation of the current sustainable development agenda.Using the method of political and legal analysis, the study analyzes the current state of legal regulation and political initiatives of the Russian Federation and the EU in the field of green finance.Initially, the paper considers the legal institutionalization of green finance in the field of financial legal relations, and certain legal aspects related to environmental taxes within the framework of the green finance system.Further the work moves on to a review and analysis of EU and Russian policy along with legal and regulatory aspects in the field of green finance.The research gives reason to say that both Russia and the EU are characterized by the lack of unified definitions within the framework of green investments, which creates additional obstacles for potential investors.Of particular importance for the development of the green finance sector is the development of systems and standards for assessing the impact of green finance on the achievement of environmental goals.However, there is currently no legal institutionalization of such standards, which takes the issue beyond the scope of direct legal regulation.Russia, in order to join the global process as a full participant, needs to work out a number of issues of a legal and organizational nature, including issues of the legal nature and system of environmental payments, their administration, in particular determining the procedure for interaction with external verifiers in the framework of the green projects implementation.The lack of political motivation inhibits initiatives in the sphere, while the issues of legal regulation often undeservedly remain in the shadows.This, in turn, causes a theoretical gap, which this work intends to fill.In order to ensure sustainable development, the possibilities of international regulatory cooperation and the harmonization of legislation are becoming important.From a practical point of view, the study is of interest to both lawyers and specialists in the field of financing and investment.
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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 | 0.001 | 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".