The Performance of State–Owned Enterprises Revisited
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Many theoretical and empirical studies look at the ownership–performance relationship. So far, the literature in finance and in accounting mainly refers to the property rights, agency and public choice theories. Despite the fact that the results of these studies are more or less conclusive, it is usually considered that the private enterprise performs better than the state–owned enterprise. In this article, we argue that these studies suffer from one major limitation. They do not recognize that the goals of the state–owned enterprise are different from the ones espoused by the private firm. Using a sample of state–owned entreprises and private firms for the period 1976–1996, we present empirical evidence that the state–owned enterprises, when their main goal is to maximize profit, perform as well as the privately owned enterprises. Therefore, the alleged under–performance of the state–owned enterprises may only be the result of pursuing other goals while the poor quality of public managers may be another urban myth.
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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