Business Group Performance in China: Ownership and Temporal Considerations
Bibliographic record
Abstract
We address the institutional voids hypothesis, which suggests affiliation with a business group will improve a firm's performance in circumstances of poor-quality institutions and extensive market failures. We hypothesize that initial positive effects of group affiliation should decline as the quality of market institutions improves. Further, we hypothesize that differences in state and private ownership will influence the value and persistence of firm affiliation. Using data on 476 publicly listed firms in 1999 and 467 matched firms in 2004, we find support for a temporal hypothesis that affiliation with a business group improves performance, but the value of group affiliation declines over time. We also find support for a state ‘helping hand’ hypothesis that suggests firms with high levels of state ownership initially experienced an amplified value effect from their group affiliation, which disappeared by 2004. The results suggest that China's policy makers are beginning to establish an institutional and market infrastructure that is conducive to entry by unaffiliated, freestanding firms.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".