Economic Policy Uncertainty and Syndication: Evidence from China’s Venture Capital Market
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
This study investigates how economic policy uncertainty (EPU) impacts the syndication behaviors of venture capital firms (VCs). Analyzing data from China, we find that EPU boosts the likelihood that VCs take syndicated investments. When facing great EPU, compared with their domestic and private counterparts, foreign and state-backed VCs exhibit a greater propensity for syndication, particularly in collaboration with VCs from distinct capital backgrounds. Further, EPU reduces VCs’ risk-taking tendencies and exacerbates inadequate information exchange in the market, thereby making VCs more inclined to syndicate their investments. Finally, EPU adversely affects VCs’ exit performance, but syndication helps alleviate this impact.
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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