Is the Deposit Refund System for Lead Batteries in Delhi and the National Capital Region Effective
Bibliographic record
Abstract
Lead acid batteries generate hazardous waste in the form of lead, with serious environmental and health implications. These batteries are recyclable and the present Deposit Refund System for recycling operating in Delhi provides a discount to consumers when they purchase a new battery and return used batteries to retailers. The retailers in turn determine whether the batteries will be recycled in an environment-friendly or unfriendly manner by selling them to manufacturers or informal sector scrap dealers, who then sell them to un-registered smelters. This study finds that that the economic instrument that brings used batteries into the recycling system works exceptionally well. However, organized lead recycling is undertaken only in a limited manner. Rather, retailers prefer to sell used batteries to the informal sector because they obtain higher prices, and incur lower storage costs and taxes. Current rules prevent scrap dealers from selling batteries to regulated smelters. Relaxing these rules would reduce raw material shortfalls currently experienced by the sector and bring more batteries into the formal recycling market. In addition, an alternate policy instrument to consider is a green tax on batteries coupled with a partial or complete refund when the manufacturer ensures environment-friendly recycling.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.078 | 0.016 |
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".