The Empirical Studies of China's Enterprise Bankruptcy Law: Problems and Improvements
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
Abstract Over the past 9 years since the implementation of China's Enterprise Bankruptcy Law in 2007, it has contributed to some measures of regulating market practice and rearrangement of market resources and has become an integral part in an improved legal system of China's market economy. However, a closer look at the effect of implementing the Enterprise Bankruptcy Law shows that the number of bankruptcy cases after its implementation, instead of increasing, has taken on a trend of decreasing. Even under the influence of the 2008 financial crisis, no significant increase in the number of Chinese bankrupt enterprises means that China's Bankruptcy Law failed to play its due role, leaving a large gap as desired. As such, this article aims to examine the problems arising from the implementation of the Bankruptcy Law and, taking this as guidance, probe into the reasons hidden behind and propose possible improvement measures. It is expected that the Bankruptcy Law would increasingly play a key role in the development of China's market economy, particularly under the current situation where Chinese government proposes to clean up zombie businesses. Copyright © 2018 INSOL International and John Wiley & Sons, Ltd.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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