MétaCan
Menu
Back to cohort
Record W4396717108 · doi:10.59403/1mpzxq2009

Chapter 9 – Australia

2009· book-chapter· en· W4396717108 on OpenAlexaboutno aff
Zara Ritchie

Bibliographic record

VenueIBFD eBooks · 2009
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsnot available
Fundersnot available
KeywordsHistoryGeography

Abstract

fetched live from OpenAlex

Why this book? This book discusses the intricate role of transfer pricing and customs value in today's international business environment. It examines in detail the relationship between valuation for transfer pricing purposes and valuation for customs, and the significance of the relationship for multinational enterprises, tax authorities and customs administrations. The book begins by reviewing relevant international standards such as the OECD Guidelines and the GATT/WTO Customs Valuation Agreement. This is followed by an in-depth discussion of related issues such as VAT and administrative matters. Country chapters provide practical insights into applicable legislation and valuation methods and case studies allow direct comparison between the practices of the different countries. It concludes by summarizing the existing relationship between transfer pricing valuations and customs valuations, and by suggesting possible solutions towards a more integrated approach. This book is essential reading for both tax practitioners and customs officials involved in cross-border business transactions. Downloads Sample excerpt, including table of contents Countries/Jurisdictions covered Australia, Brazil, Canada, China, France, Germany, India, Japan, Mexico, Netherlands, South Africa, United Kingdom and United States. Contents Chapter 1: Introduction Chapter 2: Transfer Pricing – OECD Chapter 3: Customs Value Chapter 4: Customs Valuation – EU Chapter 5: Other Regions Chapter 6: Comparison between Customs Valuation and OECD Transfer Pricing Guidelines Chapter 7: Value Added Tax Chapter 8: Administrative Issues Chapter 9-21: Country Surveys (incl. 2 case studies) Chapter 22: Conclusion Contributor(s) Luis A. Abad, Mike Bacon, Anuschka Bakker, Mukesh Butani, Christopher F. Corr, Francisco Cortina, Ian Cremer, Simone Dias Musa, Robert L. Eisen, Andre Erasmus, Massimo Fabio, Sean F. Foley, Koichiro Fujimori, Francois Gadel, Steven R. Galginaitis, Sandra Goldberg, Monique van Herksen, Michael Hewson, Andrew Hickman, Billy Joubert, Juan Martin Jovanovich, Maki Kitaura, Chehrazad Laurent-Lachheb, Marc M. Levey, Mayra O. Lucas Mas, Clarissa Machado, Alessandra Machado Villas Bôas, Jed Michaletos, Heather Missouri, Nigel Peter Moore, Duane Newman, Yongjun Peter Ni, Chikara Okada, Danny Oosterhoff, Olebogeng Ramatlhodi, Ricardo Rendon, Zara Ritchie, Steve Roberts, Johannes Schimmer, Jeroen Scholten, Caroline Silberztein, Yoshio Uehara.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.875
Threshold uncertainty score1.000

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)0.0040.008

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 head0.057
GPT teacher head0.233
Teacher spread0.176 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueIBFD eBooksSame topicCorporate Taxation and AvoidanceFrench-language works237,207