Firms as Revenue Safety Nets: Political Connections and Returns to the Chinese State
Why this work is in the frame
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Bibliographic record
Abstract
Abstract The political connection between the state and firms in the context of China's corporate restructuring has been little explored. Using the clientelist framework and unpacking the incentives of both firms and the state, we analyse political connections as repeated patron–client exchanges where the politically connected firms can help the state fulfil its revenue imperative, serving as a failsafe for local authorities to ensure that upper-level tax quotas are met. Leveraging original surveys of the same Chinese firms over an 11-year period and the variations in their post-restructuring board composition, we find that restructured state-owned enterprises (SOEs) with political connections pay more tax than their assessed amount, independent of profits, in exchange for more preferential access to key inputs and policy opportunities controlled by the state. Examining taxes rather than profits also offers a new interpretation for why China continues to favour its remaining SOEs even when they are less profitable.
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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 | 0.001 | 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