Does It Pay to Be “Greener” than Legislation? An Empirical Study of Spanish Tile Industry
Bibliographic record
Abstract
Environmental awareness is a key aspect considered in companies’ corporate social responsibility. Companies try always to comply with current environmental legislation. Does it make sense for them to go beyond legislation? This work’s aim is to answer this question and to study how companies can generate value through environmental proactivity. This study is focused on the Spanish tile industry sector. This research’s objective is to describe which aspects form companies’ environmental strategy; barriers and facilitators that make possible proactive environmental orientation; benefits companies can obtain from it and obstacles companies face when trying to be environmentally proactive, through a case study as qualitative methodology. The major benefit observed is to prevent sanctions, followed by improvement of corporate image, long-term cost savings and new business opportunities obtaining. Main obstacles companies face are lack of institutional and financial support. Evidence is found that environmental proactivity is considered in companies’ strategic planning.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.000 | 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".