The Revelation of Foreign Carbon Emission Policies for Developing China Low-Carbon Economy
Bibliographic record
Abstract
In present, developing the low-carbon economy is common recognized by the world. In order to achieve the aim of low-carbon economy, to reduce the carbon dioxide emissions is one of the most important measures. Nowadays, because of the large population, high energy intensity and the unreasonable energy structure based on fossil fuel, our country has faced an enormous pressure during the reducing carbon emissions process. Based on the current international applying carbon emission reduction proposals, we discussed the developed countries carbon emission reduction policies in detailed which includes the United States, Britain and Japan and etc. and in the meantime. Based on the above overseas developed countries experiences, the paper analyses our country’s present situation of carbon emission reduction, finds the existing problems and put forward relevant recommendations. In brief, the research will provide some reference to build a low-carbon economy society of our country.Keywords: low-carbon economy; CO2 emission; home and abroad carbon emission reduction policy; questions and measures Resume: A l'heure actuelle, le developpement de l'economie a bas-carbone est generalement reconnu par le monde. Afin d'atteindre l'objectif de l'economie a bas-carbone, la reduction des emissions de dioxyde de carbone est l'une des mesures les plus importantes. De nos jours, en raison d'une population nombreuse, d'une intensite energetique elevee et d'une structure energetique deraisonnable basee sur les combustibles fossiles, notre pays a fait face a une pression enorme au cours du processus de reduction des emissions de carbone. Sur la base des propositions internationales de la reduction de l'emission de carbone actuellement appliquees, nous avons etudie les politiques de reduction des emissions de carboneles des pays developpes en detail, qui comprend les Etats-Unis, la Grande-Bretagne, le Japon etc, et en meme temps, base sur les experiences de ces pays developpes ci-dessus, le document analyse la situation actuelle de notre pays en matiere de la reduction des emissions de carbone, trouve des problemes existants et propose des recommandations pertinentes. En bref, cette recherche fournira des references a la construction d'une societe de l'economie bas-carbone dans notre pays.Mots-Cles: economie a bas-carbone; emissions de CO2; politiques de la reduction de l'emission de carbone domestiques et etrangeres; problemes et mesures
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".