Does the Colour of the Cat Matter? The Red Hat Strategy in China's Private Enterprises
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
The proliferation of new property rights regimes in transitional economies provided an opportunity to examine the interaction between institutions and organizations. Some private enterprises in China developed the Red Hat strategy whereby they disguised their private ownership by registering as a public-owned organization. Drawing on a national survey, this study investigated how institutional variations, transaction costs and social embeddedness affected the firms’ Red Hat strategy. The findings suggest that private firms preferred a fuzzy property rights arrangement in the early years of market transition. The temporal and regional variation of the institutional environment contributed to the adoption of the Red Hat strategy. High transaction costs — networking cost and resource constraints — were positively related to the adoption of the Red Hat strategy. Social embeddedness also played an important role. The reliance on transaction partners in the public sector increased the pressure to adopt the Red Hat, while connections with high-ranking cadres facilitated the process. However, private firms opted for clearly delineated property rights as the institutional environment improved. In turn, the decisions of individual firms affected the institutional environment at the aggregate level. The Red Hat strategy exemplifies the co-evolution of institutional change and organizational dynamics.
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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 | 0.001 | 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 | 0.000 |
| 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