Capital Structure Determinants in Family Firms: An Empirical Analysis in Context of Crisis
Bibliographic record
Abstract
The purpose of this paper is to investigate the capital structure of family firms in a context of crisis. Specifically, it aims to discover whether and how the determinants of their capital structure have a different impact on firms’ leverage before and during the recent global financial crisis. Considering the pecking order theory (POT), trade-off theory (TOT), and agency theory (AT), this study analyzes 1,502 Italian medium family firms comparing the pre-crisis (2005-2007) and crisis (2008-2010) periods. This research shows that that current liquidity, asset structure, and agency costs are the most important variables in influencing medium family firms' leverage, in both the pre-crisis and crisis periods. Moreover, during the crisis, agency costs increase and have a negative influence on the short-term leverage highlighting that crisis contingencies influence the agency-based effects on family firm's leverage. Furthermore, our findings highlight that a more exhaustive understanding of family firms’ capital structure can be achieved through the combined use of different theories.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".