Towards a proportionality assessment of risk reduction measures aimed at restricting the use of persistent and bioaccumulative substances
Bibliographic record
Abstract
Abstract International chemicals legislation aims at adequately controlling persistent organic pollutants (POPs) and substances of very high concern (SVHCs), such as persistent, bioaccumulative, and toxic (PBT) and very persistent and very bioaccumulative (vPvB) substances, with a view to progressively substitute these substances with suitable less-hazardous alternatives. Using cost-effectiveness analysis (CEA) to assess the (dis)proportionality of measures to control such substances (collectively called “PBT” in the present paper) requires benchmarks. The present paper provides building blocks for possible benchmarks by looking at the cost-effectiveness estimates for regulatory measures that have been applied or considered for various PBT substances. These cost-effectiveness estimates vary widely, and the main factors possibly explaining this variation are discussed. The available cost estimates currently do not allow deriving a value for society's willingness to pay to reduce PBT presence, use, and emissions because decisions referring explicitly to these estimates are scarce. Roughly speaking, the available evidence suggests that measures costing less than €1000 per kilogram PBT use or emission reduction will usually not be rejected for reasons of disproportionate costs, whereas for measures with costs above €50 000 per kilogram PBT such a rejection is likely. More research is needed to strengthen the evidence base and further elaborate a systematic approach toward proportionality benchmarking. Integr Environ Assess Manag 2017;13:1100–1112. © 2017 The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals, Inc. on behalf of Society of Environmental Toxicology & Chemistry (SETAC) Key Points Benchmarks are needed to assess the proportionality of measures to control persistent, bioaccumulative, and toxic (PBT) and very persistent, very bioaccumulative (vPvB) substances. Cost-effectiveness data are collected for a number of PBTs and/or vPvBs and different types of control measures. These cost-effectiveness data serve as a first step toward benchmarking.
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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 | 0.072 | 0.137 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.009 | 0.003 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".