Agency Conflicts, Socioemotional Wealth, and the Debt Maturity Structure of Family Firms: A Critical Analysis
Bibliographic record
Abstract
This paper aims to study the impact of the distinctive agency and socioemotional features of family firms on their debt maturity choices using a literature analysis of this topic, still substantially unexplored. Therefore, the paper examines the relationships between owners and managers; majority and minority shareholders, and family shareholders and family outsiders; and owners and creditors. The analysis suggests that the propensity of family businesses to use long-term debt depends on the generation leading the family firm, family blockholders, motivation for expropriating minority shareholders, family outsiders and their socioemotional orientation. Much still remains to be empirically studied. One interesting issue to explore further would be the influence of country-specific factors worldwide, in combination with firm-specific characteristics relating to agency conflicts and socioemotional wealth, on the debt maturity decisions of family firms, compared to non-family ones. Given the international importance of family firms, and their widespread presence and activity worldwide, additional empirical results on this topic may help governments adopt specific policies, that will better support family businesses, in light of their peculiar and unique economic and non-economic aspects.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".