Prospects of implementing the internal system of quota trade for greenhouse gas emission in Ukraine
Bibliographic record
Abstract
This article is devoted to the analysis of one of efficient measures for the reduction of greenhouse gas emissions in the world and prospects of its implementation in Ukraine in order to fulfill its obligations under the Paris Agreement, namely, the market mechanism, i.e., system of quota trade for greenhouse gas emissions. At present, about 40 countries and more than 20 cities, states, and regions, whose fraction in the global greenhouse gas emissions is equal to one-fourth, determine the price of quota for greenhouse gas emissions as the main tool for reducing greenhouse gas emissions and/or ensuring their moderate growth. More and more such jurisdictions introduce the fee for greenhouse gas emissions through the development and implementation the systems of quota trade for greenhouse gas emissions. At the same time, as the world assesses consequences of the Paris Climate Agreement, attention is transferred from the determination of measures for reducing greenhouse gas emissions (in the form of nationally-defined contributions) to important issues of the ways to achieve these reductions and reporting on them in the framework of future mechanisms for the international accounting of the reduction of greenhouse gas emissions. This article outlines the most important steps in establishing the structure of system of quota trade for greenhouse gas emissions in Ukraine. At the same time, the authors lean on conceptual analysis and some of the most practical lessons learned earlier as a result of the introduction of emission trading systems around the world, including the European Union, several provinces and cities in China, California, Quebec, north-eastern states of the USA, Alberta, New Zealand, Kazakhstan, Republic of Korea, Tokyo, and Saitama. The decarbonization of Ukrainian economy is an important component of the state policy of ensuring sustainable development, in particular, in the context of global goals of sustainable development for the long-term outlook. Key measures and politics aimed at preventing climate change include energy saving, energy efficiency, renewable energy, carbon tax, systems of quota trade for emissions, etc.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".