More than a Fair Share? Principal-Principal Conflicts in Emerging Markets: Evidence from India
Bibliographic record
Abstract
The concentrated ownership structure of emerging market firms may help mitigate principal-agent conflicts; however, the presence of two sets of principals, promoters with controlling stake and dispersed shareholders, may give rise to principal-principal conflicts. India, where firms are largely organized as business groups, with stock pyramids and complex cross-ownership structures, presents a distinctive venue to study the presence of such conflicts. This paper tests if the principal-principal conflicts transpire in the form of risk aversion when Indian bidders seek to merge or acquire. We observe that Indian bidders resort to risk-aversion only when promoters have high cash flow rights, that is, when they hold a majority stake in the acquiring firm. We argue that in business group firms this is likely to happen due to ‘tunnelling distortion’, whereas in standalone firms, this is likely to occur due to ‘portfolio concentration’. However, on investigating deal-announcement returns, we observe that firms with high promoter ownership create value.
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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 | 0.005 |
| 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 | 0.002 |
| Scholarly communication | 0.003 | 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".