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Record W3162343456

Cutting Through the Blue Ribbon: A Balanced Look at Alberta's Finances

2018· article· en· W3162343456 on OpenAlexaffabout
Richard Mueller

Bibliographic record

VenueSSRN Electronic Journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsGovernment (linguistics)Per capitaDebtEconomicsFiscal sustainabilityBusinessFinancePopulation
DOInot available

Abstract

fetched live from OpenAlex

The release of the Janice MacKinnon-chaired Blue Ribbon Panel report by the Kenney government confirms concerns that the panel’s limited mandate — to provide advice on balancing the budget, but concentrating only on expenditures, and with no increased taxes — would prohibit a full examination of bigger issues of balance or long-term fiscal sustainability. Due to its intentionally limited scope, the MacKinnon report falls short of providing the government and Albertans with the information necessary to make sound financial decisions about the province’s current situation or to plan for the future. Countering much contained in the MacKinnon report, this report lays out for Albertans a more balanced assessment of the province’s finances. The report shows that Alberta’s economy remains strong. Real GDP and GDP per capita growth remain positive. Labour force participation rates, employment rates, and wages remain above the Canadian average. In the long-term, Alberta’s economy will likely regress to the Canadian average, resulting from a decline in the price of non-renewable resources, upon which the Alberta economy for too long has been over-reliant. Nearly every concern facing Alberta’s finances flows from this dependency. Alberta does not face a “critical financial situation” resulting from public expenditures. Though caution is warranted, Alberta currently has a manageable debt. This report shows that, compared to Canada and its three largest provinces — Quebec, Ontario, and British Columbia — Alberta’s expenditures are not out of line. Public sector wages are commensurate over time with those found in these other jurisdictions for educational services, health care and social assistance, and public administration — the three industries that hold the vast majority of public employees and the ones that are likely to come under the most scrutiny in any cost-saving exercise. Alberta’s real difficulty in balancing the books lies in its anemic tax effort. Alberta’s coffers fall consistently short of what is necessary to pay for important public services which Albertans value and expect. In past decades, the revenue hole was filled by non-renewable resource revenues, primarily bitumen, oil, and gas. But those days are gone, and unlikely to return. The hole can only be filled through a mix of various tax measures. Fortunately, Alberta has enormous tax room to meet this need, while still being able to boast a multibillion dollar tax advantage over other Canadian jurisdictions. There are two ways to balance the books and thus eliminate debt: either through cuts to expenditures or through increases in revenues — or, of course, a balance of both. The report suggests two remedies for Alberta’s fiscal ailments. First, a gradual weaning of Alberta politicians and the public away from resource revenues to fund ongoing expenses through a combination of tax increases to foster revenue stability. Second, in order to fill the revenue void, the adoption specifically of a provincial sales tax, preferably harmonized with the federal GST. The time is long overdue for a rational, balanced, and fact-based discussion with Albertans about the province’s financial circumstances, wrapped neither in celebratory nor “blue” funereal ribbons, just hard truths. Through good fortune, Alberta is a wealthy and much-blessed province, but we can do better. The time is now.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.087
Threshold uncertainty score0.630

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0110.003
Scholarly communication0.0120.002
Open science0.0020.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0100.001

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 head0.010
GPT teacher head0.274
Teacher spread0.264 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2018
Admission routes2
Has abstractyes

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