Critical Issues In Environmental Taxation
Bibliographic record
Abstract
Abstract Volume V in the Critical Issues in Environmental Taxation series is an interdisciplinary, selection of papers on economic instruments written by international experts from in the field. The Volume contains forty articles written by authors from sixteen countries and representing disciplines such as law, economics, accounting, taxation, environmental policy and political sciences. The articles were selected from papers presented at the Seventh Annual Global Conference on Environmental Taxation in October 2006 in Ottawa, Canada. The book is clearly structured with the articles divided into Parts and organised by topic. Part 2 features articles on issues relating to the implementation of economic instruments, such as political acceptability, competitiveness, instrument choice and design, institutional issues and even psychological dimensions. Part 3 includes a range of national case studies on topics such as transportation, energy, natural resources and urban sustainability. Part 4 offers a number of papers offering comparative analysis and Part 5 closes with some papers on complementary instruments and alternative approaches. The book and its sister volumes in the series are a unique and invaluable resource for anyone interested in the next generation of policy instruments for transitioning to sustainable economies.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.002 | 0.010 |
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; both teacher heads agree on what is shown here.
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".