MétaCan
Menu
Back to cohort
Record W7066938470

Leaking money. The finance costs of privatised water and regulation in England and Wales: Scottish public ownership shows potential savings

2025· article· en· W7066938470 on OpenAlexaboutno aff

Bibliographic record

VenueGreenwich Academic Literature Archive (University of Greenwich) · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsShareholderRevenueDebtSewerageDividendCreditorCapital expenditureQuarter (Canadian coin)Welsh
DOInot available

Abstract

fetched live from OpenAlex

• The financial costs of the privatised water and sewerage companies of England and Wales averaged 35% of company revenue from customer bills in 2023-24 o These costs are the return on capital to private shareholders and the interest (and index-linking) on the bonds and loans from creditors o These financial costs mean that over one-third of customer bills pass straight through the companies without being used for water and sewerage services o All companies have high finance costs, including Welsh Water: despite being owned by a ‘non-profit’ company, it loses 41% of bills to finance costs – the same as Thames Water • By contrast, the financial costs of publicly owned Scottish Water represented only 8% of revenue in 2023-24: less than a quarter of the costs in England and Wales o This is partly due to not having to pay dividends to private shareholders o Scottish Water has also taken on far less debt than the E&W companies • Scottish Water has on average invested about £180 per household per year since 2022 – about 50% more than the average in England and Wales over the same period, which is about £120. • The high financial costs of the private companies are reinforced by the regulatory system. Almost half of the 35% price increase planned by OFWAT for the next 5 years 2025-30 is based on doubling the return on capital/financial costs, from £11.1bn in 2019-24 to £22bn. in 2025-30 o OFWAT’s price decisions represent the largest real price rises in any 5-year period since privatisation. Prices in 2030 will be double, in real terms, what they were at privatisation • OFWAT assumes that the companies will pay off none of their existing debts over the next 5 years – they are expected to replace expiring debt with new, more expensive debt, which will increase financing costs – as well as taking on further debt. • Under any assumption about compensation levels, taking the English and Welsh water companies into public ownership could save £3bn-£5bn in annual financing costs. This could increase new investment, or reduce the average annual water bill by £100-£160 per annum.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.318
Threshold uncertainty score0.646

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.179
Teacher spread0.164 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueGreenwich Academic Literature Archive (University of Greenwich)Same topicDiverse Scientific and Economic StudiesFrench-language works237,207