Do Lenders Value a Corporate Sustainability Structure?—Evidence from the Cost of Bank Loans
Bibliographic record
Abstract
In response to pressures placed on a firm by its stakeholders, managers may initiate various corporate sustainability activities. In such cases, they need to make decisions not only about the level of sustainability commitment, but also about the way to structure it. There are numerous ways to structure corporate sustainability activities with different financial consequences. In this paper, we investigate the separate and joint effects of the corporate sustainability level and the corporate sustainability structure on a firm’s bank borrowing cost. We test our predictions by conducting multivariate regression analysis on a sample of 1417 US bank loan facilities over the period 2006–2011. We find evidence that high-quality borrowers with a high level or diversified structure of sustainability activities benefit from lower loan interest rates. Also, our analysis of the joint effects shows that only high-quality borrowers with a high level and diversified sustainability activities enjoy lower bank loan costs. Overall, these results reveal that lenders value how firms structure their sustainability activities. Therefore, they have important implications for managers and bankers.
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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 | 0.024 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".