The Impact of Public Policies and Civil Society on the Sustainable Behavior of Romanian Consumers of Electrical and Electronic Products
Bibliographic record
Abstract
The negative impact of the waste generated by long-lasting products is a pressing issue for humanity. As such, socio-economic activities worldwide must be carried out according to sustainability principles, and governments have been increasingly pressured to develop laws and policies that protect the environment. The influence of civil society can boost the impact of public policies. For Romania, an emerging country, a well-developed legislation is needed, as well as the involvement of the administrative and civil sectors, not only in raising consumers’ awareness regarding the importance of recovering and recycling waste, but also in changing their purchasing behavior in the direction of ecological products. An empirical investigation was conducted to identify the direct and mediation effects of external factors on the behavior of electrical and electronic product consumers. Data were collected from 421 respondents and evaluated with latent variable analyses in the R statistical program. The originality of the study resides in articulating a novel relationship between recovery and recycling intentions and the preference for ecological products, enhancing understanding about sustainability in relation to electrical and electronic products. The link between recovering and recycling intentions and consumers’ preferences for ecological products was validated for the first time in our investigation. The study concludes that external factors have a meaningful direct and mediating effect on Romanian consumers’ green behavior.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".