Are OECD-Prescribed 'Good Corporate Governance Practices' Really Good in an Emerging Economy?
Bibliographic record
Abstract
The purpose of this paper is to examine whether adopting OECD-prescribed corporate governance principles can solve the major corporate governance problem in an emerging economy - controlling-shareholder expropriation. We argue that none of any corporate governance in OECD countries (e.g., an active board of directors, separation of chairperson and CEO, significant presence of outside directors, and a two-tier board) can attenuate the negative effect of controlling-shareholder expropriation on corporate performance for two main reasons. First, good practices are mainly designed to resolve conflicts between shareholders and the management but not conflicts between controlling and minority shareholders. Second, board directors are typically not independent of controlling shareholders, and supervisory directors often have low status and weak power in a firm. Using a panel of over 1,100 Chinese listed firms between 2001 and 2003, we find supportive evidence for our arguments. We discuss the implications of our study for public policy and strategies of investors.
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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 | 0.003 | 0.006 |
| 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 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".