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Record W2422511048 · doi:10.55016/ojs/sppp.v5i1.42383

Reforming the Tax Mix in Canada

2012· article· en· W2422511048 on OpenAlexaffabout
Bev Dahlby

Bibliographic record

VenueThe School of Public Policy Publications · 2012
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFiscal Policy and Economic Growth
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBusinessEconomics

Abstract

fetched live from OpenAlex

Periodically, tax systems need major reforms to remove the “barnacles” that accumulate under the short-term pressures of political expediency and to adapt to the long-term forces of technological and economic change. The current fiscal and economic problems that confront the provinces require an assessment of much-needed reforms. Raising tax revenue imposes large costs on our society, not only because of the administration and compliance costs of collecting taxes, but because taxes distort economic decisions in the private sector. This is especially true of provincial corporate income taxes. Taxing highly mobile corporate capital and corporate profits encourages firms to shift their investments and profits across provincial and international boundaries. The provinces would enjoy significant boosts to economic growth and efficiency gains by enacting a revenue-neutral switch from corporate to sales or personal income taxes. For Alberta, such a shift would yield up to $40 per dollar of tax revenue shifted from corporate to personal income taxes; for fiscal year 2011-12, this would amount to a percapita welfare gain of roughly $19,000. Other options for tax reform are also discussed in this paper, including the adoption of a penny tax to the GST to fund infrastructure spending by municipalities. However, we think this would saddle the private sector with significant compliance costs and create major economic distortions between neighbouring municipalities by creating an incentive to shop where the penny tax proposal was not adopted. In surveying the most pressing tax reform issues facing Canada, we offer policymakers a firm basis for coming to grips with them, so they can treat tax dollars with the care and foresight Canadians expect.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.690
Threshold uncertainty score0.531

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.056
GPT teacher head0.244
Teacher spread0.188 · 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

Citations9
Published2012
Admission routes2
Has abstractyes

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