‘Two hands, multiple fingerprints’: how ideology and politics shaped China’s water market reforms (1998–2021)
Bibliographic record
Abstract
Water markets in China have received ample scholarly attention, but less is known about the political, ideological, and international influences that shaped their evolution. Using institutional analysis and a power-centered approach, we trace three Australian-funded projects (2005–2019) alongside domestic policy shifts to analyze how market ideas were institutionalized. We show how policy entrepreneurs embedded water trading within China’s governance system by drawing on ideological principles—including politics at the centre, ideological pragmatism, and economic decentralization—to bind market instruments to Party legitimacy. We also examine variation across pilot sites, showing how China’s water markets evolved through distinct institutional pathways—from collective trading among Water User Associations in Gansu to corporate purchases in Inner Mongolia. These findings contribute to debates on state – market relations, ideational power, and institutional change in one-party states, while also opening new research avenues on group-level property rights and community-based environmental markets in China and beyond.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".