Assessing the Role of Carbon Taxes in Driving Low-Carbon Transformations: A Comparative Analysis of Implementation Policies
Bibliographic record
Abstract
Innovations in the utilization of alternative energy sources to replace coal and oil-based production methods have a direct impact on the volume of carbon dioxide (CO2) emissions released into the atmosphere and subsequently contributing to the greenhouse effect.Addressing these negative externalities of greenhouse gas emissions is most effectively achieved through a universal global carbon tax system applied uniformly across all nations.This study seeks to explore the implementation of a carbon tax as an alternative policy for curbing carbon emissions and promoting a transition to a sustainable green economy.The research adopts a qualitative approach with a focus on comparative analysis, examining carbon tax policies across various countries in Europe, America, and Asia.Research data was primarily gathered through an extensive review of relevant literature, with a major data source being the World Bank's reports on the status and trends of carbon pricing.The study's findings underscore the efficacy of a carbon tax as a policy instrument to reduce carbon emissions.Furthermore, it has the potential to induce shifts in both household and industrial decisionmaking behaviors, leading to reduced energy consumption with high emissions.Ultimately, this policy approach can foster sustainable development and facilitate the transition to a green economy characterized by low-carbon practices, resource efficiency, and social inclusivity.These policies are instrumental in addressing environmental and social challenges, thus safeguarding the well-being of future generations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".