Consumer interest and willingness to pay for in-bulk products with reusable packaging options
Bibliographic record
Abstract
Consumers are looking for solutions to reduce waste at source, especially plastic waste from single-use packaging. Simply recycling packaging will not be enough and reduction at the source must be emphasized as part of a sustainable circular economy. Selling products in bulk using reusable containers is one of the emerging paths of the zero waste movement. To achieve this, it is necessary to change consumption patterns and behaviors. Our goal is to better understand how source reduction of plastic packaging can be an asset in a zero waste objective. Using a contingent valuation method, we conducted a large pan-Canadian survey on the purchasing preferences of 2002 Canadian households to analyze the willingness to pay (WTP) for different food and household products. Results indicate that most consumers do not appear to be willing to pay more for bulk products with reusable packaging even if they are interested in buying more bulk products. Different socio-demographic and attitudinal parameters, such as age, gender, sense of convenience, and pro-environmental behaviors, influence willingness to buy and pay. The originality of this work is to provide an economic perspective on the reduction of single-use containers and changes in consumption practices in the context of the zero waste movement and the circular economy.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".