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Record W2074379351 · doi:10.5367/000000008785633541

The Economics of Regulation and Taxation Policies for Casino Tourism

2008· article· en· W2074379351 on OpenAlex
Hasret Benar, Glenn P. Jenkins

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTourism Economics · 2008
Typearticle
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsQueen's University
Fundersnot available
KeywordsCartelEconomicsInvestment (military)TourismMonopolyProduction (economics)Private sectorPublic economicsMicroeconomicsIncentive

Abstract

fetched live from OpenAlex

A number of states and countries have promoted the development of a casino industry primarily to attract tourists. The policies operated have generally used regulatory or taxation instruments. Such policies may or may not lead to an efficient level of investment and production for the sector. This paper considers four alternative forms of regulatory and taxation policies and examines the interactions between these two sets of investments. The authors find that a turnover tax yields an efficient outcome with a competitive industry and also in the case of a cartel association; but it will be distortionary if a multiplant private monopoly controls the sector. Furthermore, a pure public sector-owned multiplant monopolist is efficient, while a tax on the fixed costs is inefficient if a casino association regulates the sector.

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)0.000
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 score0.515
Threshold uncertainty score0.374

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.077
GPT teacher head0.325
Teacher spread0.248 · 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