Engaging faith-based communities in pro-environmental behavior using soft regulations: The case of single-use plastics
Bibliographic record
Abstract
The consumption of single-use plastics, such as disposable tableware (DTW), conveys a high benefit-cost ratio for consumers while having large environmental externalities. To encourage consumers to reduce their use of DTWs, governments could use small and non-coercive changes in people’s decision-making environments (nudges). This study focuses on the Israeli ultra-Orthodox communities a secluded population group that grows much faster- and consumes much more DTW than the rest of the Israeli population. Employing a quasi-representative sample (N = 450) of this population, this study conducted a discrete-choice experiment that presents the respondent with alternative options to reduce DTW. Two kinds of Nudges–framing and social norms–were utilized. The effectiveness of these Nudges in promoting PEB among faith-based communities has received little attention in previous studies. As another contribution to the literature, this paper also integrates latent constructs such as the respondents’ environmental attitudes and level of conservativeness. 46% of the respondents chose to opt-out whereas 29%, 14%, and 11% chose ‘1-day’, ‘2-days’, and ‘3-days’ per week avoiding DTW, respectively. Social norms, framings, and environmental attitudes had a significant mediating effect, with framing being associated with the highest effect on intentions to reduce DTW, i.e., a willingness to give up 0.31 USD per family member per month, compared to 0.07 USD for an increase in the description of the social norm. The results suggest that Nudges can enhance policies aimed at encouraging pro-environmental behavior among faith-based communities.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".