Buffering and enabling: The impact of interlocking political ties on firm survival and sales growth
Why this work is in the frame
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Bibliographic record
Abstract
Several studies suggest that political ties help firms survive or perform but do not examine the boundary conditions concerning which types of firms and which type of ties help firms. We draw from resource dependence and resource‐based theories to argue that political ties can improve both firm survival (labeled “buffering”) and performance (labeled “enabling”), with weaker firms gaining more from buffering and stronger firms gaining more from enabling. We further examine the relative impact of local and central ties. We test our hypotheses on the television manufacturing industry in China between 1993 and 2003. Results demonstrate the buffering roles of political ties, and under narrower conditions, their enabling roles. Local ties account for these outcomes, while central ties do not provide buffering or enabling benefits . Copyright © 2014 John Wiley & Sons, Ltd.
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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 | 0.001 | 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