Control Modes and Outcomes of Transformed State-Owned Enterprises in China: An Empirical Test
Why this work is in the frame
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Bibliographic record
Abstract
The transformation of state-owned enterprises (SOEs) into efficient entities has been an important approach in transition economies. However, the transition literature reveals little about how control structure affects firm performance of transformed SOEs. Drawing on agency theory, we distinguish three modes of control in transformed SOEs: state-controlled, dispersedly controlled, and privately controlled modes and argue that actual control after transformation plays a critical role in determining performance. Examining the impact of different control modes in China, we find that the key is who controls the transformed firm. Non-state-controlled (dispersedly controlled and privately controlled) firms are more likely to have enhanced post-transformation performance and reduced agency costs than state-controlled firms.
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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 it