Riding on the green bandwagon: supply chain network centrality and corporate greenwashing behaviour
Bibliographic record
Abstract
This study examines the relationship between supply chain network centrality and corporate greenwashing behaviour by analysing data from Chinese A-share listed companies using panel regression models and PageRank centrality to measure network position. Our findings reveal a statistically significant positive linkage between supply chain network centrality and greenwashing propensity. The research identifies the mediating mechanism as the propagation of green bandwagon effects (firms imitating peers’ greenwashing) within supply chain networks, with notably stronger transmission observed in downstream relationships. Furthermore, these effects are particularly pronounced among firms facing lower information asymmetry, as well as in labour- and capital-intensive industries and economically disadvantaged regions. This study contributes by establishing network embeddedness as a structural antecedent of greenwashing and uncovering downstream-specific contagion mechanisms, offering actionable guidance for regulators.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".