MétaCan
Menu
Back to cohort
Record W2244902638

Baffling Budgets: The Sorry State of Municipal Fiscal Accountability in Canada

2014· article· en· W2244902638 on OpenAlex
Benjamin Dachis, William B. P. Robson

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueC.D. Howe Institute Commentary · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsTaxpayerAccrualRevenueCapital expenditureHeadlineAccountabilityGovernmental accountingFinanceBusinessEconomicsAccountingFund accountingAccounting information systemEarningsFinancial accountingMacroeconomicsPolitical scienceAdvertising
DOInot available

Abstract

fetched live from OpenAlex

In nearly all Canada’s major municipalities, what should be a simple exercise – comparing the spending city council votes in its annual budget with the actual spending reported at year-end – will baffle any but the most expert reader. While most of Canada’s federal and provincial governments now use the same accounting methods in preparing their budgets and their financial reports, municipalities typically do not. As a result, the headline totals for revenue and spending in budgets and financial reports are usually not comparable, and judging whether a city over- or under-shot its budget targets, and by how much –which should be a simple matter of comparing headline numbers – is not possible for a typical councillor, taxpayer or citizen. The exact discrepancies between budget presentations and financial reports vary from city to city, but a critical common element is that most cities use antiquated budgeting for capital projects. Most of Canada’s senior governments use modern “accrual” accounting that matches the costs of long-lived assets such as buildings and infrastructure to the period they deliver their services. Municipal budgets, by contrast, show cash outlays on capital, exaggerating the up-front cost of major projects, and understating their later expenses. This study shows how a reasonably intelligent but time-constrained non-expert user – a councillor or taxpayer – might attempt to reconcile budgeted spending with actual results. We look at the last 10 years of municipal budgets and financial reports for cities from coast to coast and calculate standard statistical measures (root mean square errors) of the gaps between the planned spending changes and what cities presented at the end of the year. Among Canada’s largest cities, Toronto and Waterloo Region come off best, with gaps of less than 5 percent, but the worst – Brampton, Halton Region, and Vaughan – have gaps of around 20 percent, and cities generally are far worse at hitting their targets than Canada’s federal and provincial governments. Canada’s senior governments have tended to over-shoot their budgeted spending over the past decade. Among municipalities, the inappropriate budgetary treatment of capital assets and poor record of hitting budget targets seems to have a different real-world consequence. The financial statements of Canada’s major cities show a cumulative surplus over the past five years of $29 billion – Calgary, Saskatoon, Halton Region, Vaughan and Markham have run the largest surpluses compared to their revenues – and the cities with the biggest gaps between budget targets and end-of-year spending have tended to have larger surpluses. This record suggests that cities have tended to over-charge up-front for capital projects, and thus not matched the costs of these projects to taxpayers with the delivery of their benefits over time as well as they could have. Changes in provincial legislation could foster better municipal financial reporting, but cities also have the capacity to present more meaningful numbers on their own. Both provinces and municipalities should take steps to improve the fiscal accountability of municipalities and the stewardship of municipal funds.

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.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.429
Threshold uncertainty score0.358

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.021
GPT teacher head0.276
Teacher spread0.255 · 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