Institutional conformity, entrepreneurial governance and local contingency: Problematizing central-local dynamics in localizing China's low-income housing policy
Bibliographic record
Abstract
Central-local dynamics are crucial to understand the implementation of China’s reform policies and regional economic development. Until recently, the research has focused on either end of the political spectrum, celebrating the top-down channeling of neoliberal-like reforms led by the central government or detailing the bottom-up process of policy innovation and entrepreneurism centred on local states. Knowledge is not substantial about how the central state interacts with local authorities in the localization of central public policies and, to a lesser extent, why some policies are properly implemented at the local level but others not. Through investigating the implementation of major national low-income housing policies in Chengdu and Shanghai, we interrogate three proposed theoretical constructs: political conformity, entrepreneurial governance and local contingency. Results show that institutional conformity manifests in cross-scale consistency in policy goals, political obligation of local states to conform to the central authority, and balance between local incentives and central state sanctions. In the process of balancing local and central interests, the local development priorities are framed along the line of local state entrepreneurism favoring fiscal responsibility, economic efficiency, and economic growth. Finally, locally contingent factors often interact with and mediate external forces and have a significant impact on localizing public policies in China.
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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 | 0.003 |
| 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 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| 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".