The impact of environmental regulation on environmental performance: A focus on third party logistics service providers in an emerging country
Bibliographic record
Abstract
The literature addresses the link between command and control environmental regulation and environmental performance. However, there is a lack of attention paid to how environmental strategy plays a mediating role in this relationship. In addition, the environmental research in the context of third-party logistics service providers seems to be underexplored. Thus, through the theoretical lens of institutional theory and contingency theory, this study examines the mediating role of environmental strategy on the relationship command and control environmental regulation and environmental performance. Data were collected from small and medium enterprises operating in the logistics industry of Vietnam and partial least square structural equation modeling was employed to examine the proposed hypotheses. The result indicates the full mediating effects of environmental strategy on the link between command and control environmental regulation and environmental performance. In this regard, this study contributes to growing empirical evidence showing that the link between environmental regulation and environmental performance is indirect through mediators. Besides, this study also extends the current knowledge of environmental strategy pursued by third-party logistics providers.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".