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Record W2146133565 · doi:10.5539/ass.v6n12p23

Tax Evasion and Fraud Detection: A Theoretical Evaluation of Taiwan’s Business Tax Policy for Internet Auctions

2010· article· en· W2146133565 on OpenAlexvenueno aff
Jue Shyan Wang, Shinemay Chen

Bibliographic record

VenueAsian Social Science · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicTaxation and Compliance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessCommon value auctionVendorProfit (economics)Tax avoidanceForward auctionAnonymityReverse auctionThe InternetPublic economicsEconomicsMicroeconomicsMarketingDouble taxationFinanceAuction theoryComputer security

Abstract

fetched live from OpenAlex

Only registered businesses can charge and collect taxes on goods and services made in Taiwan. As auction sites are places where individuals can conduct business activities for profit without paying business taxes, Taiwan’s tax authority has ruled that profit-seeking individuals must register as businesses and pay taxes. However, the anonymity of sellers on Internet auction platforms poses challenges to the ability of the tax authority to enforce this ruling. This paper examines business tax policy for online auctions in Taiwan and then assesses the prospects of taxing sales on online auctions using a game theory model. Analytical results suggest that seller anonymity will allow a vendor to continue to disguise business identity and the tax authority will not aggressively pursue tax evaders.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.610
Threshold uncertainty score0.333

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.038
GPT teacher head0.301
Teacher spread0.263 · 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 designTheoretical or conceptual
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

Citations3
Published2010
Admission routes1
Has abstractyes

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