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Record W4397295461 · doi:10.55596/001c.116315

Advertising, Marketing and Promotional (AMP) Expenses in Customs Valuation

2020· article· en· W4397295461 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueWorld Customs Journal · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Market Behavior and Pricing
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessValuation (finance)AdvertisingMarketingCommerceFinance

Abstract

fetched live from OpenAlex

Customs duties are an important aspect of international trade and compliance is mandatory for all companies and organisations engaged in overseas business. These customs duties generate revenue to the importing state and no link is needed between the two parties of different countries for the importing state to levy duty. Primarily, General Agreement on Tariffs and Trade (GATT) Article VII and Customs Valuation Rules, 2007, govern customs valuation in India and lay down the standards regarding transaction value, related party transactions and ‘price paid or actually payable’. Each of these authorities will be explained in this paper, along with recent rulings of Customs Excise and Service Tax Appellate Tribunal (CESTAT) and a comparative analysis of India with customs valuation in other jurisdictions, such as USA, Canada and the European Union. The objective of this paper is to establish whether advertising, marketing and promotional expenses should be included in the ‘price actually paid of payable’ of the goods or services imported. The considerations affecting this analysis are twofold: the extent of the term, ‘post-importation expenses’ and the nature of ‘buyer’s own account’. Further, the researcher will study the observations of the Technical Committee on Customs Valuation. Even though various technical terminologies are involved in the study of this issue, the finer nuances will be delineated carefully throughout the paper.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.241
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.040
GPT teacher head0.258
Teacher spread0.218 · 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