Neoliberalizing Nature? Market Environmentalism in Water Supply in England and Wales
Bibliographic record
Abstract
The 1989 privatization of the water supply sector in England and Wales is a much-cited model of market environmentalism—the introduction of market institutions to natural resource management as a means of reconciling goals of efficiency and environmental conservation. Yet, more than a decade after privatization, the application of market mechanisms to water supply management is much more limited than had been expected. Drawing on recent geographical research on commodities, this article analyzes the reasons for this retrenchment of the market environmentalist project. I make three related claims: resource commodification is a contested, partial, and transient process; commodification is distinct from privatization; and fresh water is a particularly uncooperative commodity. To illustrate these claims, I explore how water's geography underpinned the failure of commodification initiatives in England and Wales. I focus specifically on contradictions faced by industry regulators, water companies, and the government when attempting to implement direct competition, universal metering, and full-cost pricing of water supply. The failure to resolve these contradictions was a critical driver in the reregulation of the water supply industry and in the overall trend toward improvement in environmental and drinking water quality, a finding that underpins my closing argument—that neoliberalization is implicated in processes of reregulation that rescript the entitlements of both humans and nonhumans, with outcomes that are not necessarily negative for what we conventionally delimit as the environment.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.009 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".