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Record W1998272823 · doi:10.4296/cwrj13

Full Cost Accounting for Water Supply and Sewage Treatment: Concepts and Case Application

2004· article· en· W1998272823 on OpenAlexvenueaboutno aff
Steven Renzetti, Joseph Kushner

Bibliographic record

VenueCanadian Water Resources Journal / Revue canadienne des ressources hydriques · 2004
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing Market and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsSewageWater supplyEnvironmental full-cost accountingCost accountingAccounting methodBusinessWater industryEnvironmental scienceWater resource managementAccountingNatural resource economicsEconomicsAccounting information systemEnvironmental engineeringThroughput accountingFinancial accounting

Abstract

fetched live from OpenAlex

It has been suggested recently that water and sewage utilities move to 'full cost' accounting as a means of addressing some of the challenges facing them. However, there are disagreements regarding how to implement this concept, and few estimates exist that show the impact of such a change. In this paper, we consider what is meant by full cost accounting for water utilities, and examine the operations of the Regional Municipality of Niagara, a typical municipality in Ontario, to determine the extent to which current accounting procedures understate the full social cost of providing these services. In the case of the Niagara Region utility, we estimate that the annual unaccounted costs were between $10 and $35 million in 1998. This estimated range compares to a combined annual operating budget for the water and wastewater facilities of $64 million. Thus, our results indicate that the cost of water supply and sewage treatment is substantially understated by a factor of 16%–55%. Because of the commonality of accounting practices, we expect other Ontario utilities to be similarly underpriced.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.973
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.018
GPT teacher head0.206
Teacher spread0.187 · 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.

Study designNot applicable
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

Citations26
Published2004
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Water Resources Journal / Revue canadienne des ressources hydriquesSame topicHousing Market and EconomicsFrench-language works237,207