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Record W2946029621

Foreign Remote Vendors and the Possibility of Non-Compliance: Is the Only Thing We Have to Fear is the Fear Itself?

2019· article· en· W2946029621 on OpenAlexaboutno aff
Richard Pomp

Bibliographic record

VenueSSRN Electronic Journal · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicTaxation and Legal Issues
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessUse taxState (computer science)VendorNexus (standard)Supreme courtDormant Commerce ClauseLawLaw and economicsDouble taxationEconomicsAd valorem taxSales taxFinanceMarketingPolitical scienceEngineering
DOInot available

Abstract

fetched live from OpenAlex

In South Dakota v. Wayfair, Inc., the Supreme Court eliminated Quill’s physical presence nexus requirement for use tax collection. Now, both foreign and domestic remote vendors without a physical presence must collect and remit a state’s use tax if they satisfy its nexus rules. With respect to actually collecting and remitting the tax, however, a major difference between foreign and domestic vendors would arise. Under the United States Constitution’s Full Faith and Credit Clause, any state can enforce a judgment in another state. No such rule exists in the foreign realm. Thus, if a foreign vendor refuses to collect and remit a state’s use tax, the state would need a foreign court to enforce its judgment, notwithstanding the hoary rule against such a practice. (While an extensive network of income tax treaties has superseded this rule, those treaties are typically limited to federal income taxes, and generally have no impact on state sales or use taxes.) If a non-compliant foreign vendor has assets in the United States, a state could seize those assets to satisfy its judgment. This, however, is no guarantee, as foreign vendors could easily use distribution facilities in Mexico or Canada to service the United States, and use servers in those countries to sell downloadable intangible property. Nonetheless, there are other options available for states to adequately enforce their nexus rules against non-compliant foreign vendors. First, foreign vendors using United States banks to process credit card purchases are vulnerable to having their accounts seized to satisfy a state’s judgment under the myriad requirements of Code Sec. 6050W(c)(2). (To avoid this issue, foreign companies could proactively cease all contacts with United States financial institutions, although this would be difficult and costly.) Second, the United States Customs Bureau could seize packages sent from vendors with outstanding judgments at airports and docks. But this avenue seems more like a Pollyannaish dream than a practical remedy given the volume of imports flowing into the country and the ease of using shell corporations with different names, which is a practice to avoid sanctions. Third, some states have enacted marketplace facilitator laws that require the collection of use taxes on all third-party sales. The major platforms have complied with these laws so far, and these statutes are sweeping the country. Where applicable, foreign vendors will have the platform collect and remit the sales tax. All in all, the fear of widespread non-compliance by foreign vendors appears exaggerated. As marketplace facilitator legislation becomes more commonplace, this threat will wane even further.

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)0.010
metaresearch head score (Gemma)0.020
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0090.016
Scholarly communication0.0100.011
Open science0.0020.006
Research integrity0.0160.017
Insufficient payload (model declined to judge)0.0110.001

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 head0.013
GPT teacher head0.254
Teacher spread0.241 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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