Determinants of Capital Structure for Firms that Provide High Quality Sustainability Reporting
Bibliographic record
Abstract
The main objective of this chapter is to understand the determinants of the capital structure of the firms that provide high quality corporate-sustainability reporting. First, all the non-financial companies quoted in Borsa Istanbul (BIST) will be studied in order to see the full picture of the market. Second, all the firms that are included in the computation of the BIST Sustainability Index (XUSRD) will be analyzed as the firms that provide high quality corporate-sustainability reporting. In line with the literature on capital structure variables such as profitability, size, risk, growth, tangibility, non-debt tax shield and ownership structure were picked as the possible determinants of capital structure. Moreover, long- and short-term debt ratios were selected as the proxies for capital structure. Our findings indicate that when capital structure is measured by long-term debt, profitability, size, tangibility, the ratio of free-float outstanding value to total assets, and institutional ownership percentage become the main determinants of capital structure for the whole market. For sustainability index firms, when capital structure is measured by the long-term debt ratio, the main determinants of capital structure become non-debt tax shield and tangibility. On the other hand, for the same type of firms, when capital structure is measured by the short-term debt ratio, tangibility and the ratio of free-float outstanding value to total assets become the main determinants of capital structure.
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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 | 0.001 | 0.006 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".