GAARs and the Nexus between Statutory Interpretation and Legislative Drafting: Lessons for the U.S. from Canada
Notice bibliographique
Résumé
Abstract Rules targeting specific known schemes are not the only tools available in the battle against tax avoidance. Legal systems also use measures that apply generally. The U.S. for example has tended to rely heavily on general doctrines. One such doctrine which is discussed in part 2 of this chapter is the “economic substance” doctrine. Yet as Xiong and Evans recently pointed out “although such judicial doctrines can be used to deal with various aspects of complicated tax abuse judges tended sometimes to limit and sometimes to enlarge the scope of jurisprudential interpretation leading to substantial uncertainty and risk.” One way to limit the discretionary power of judges and overcome the uncertainty apparent in their judgments is by formalizing the doctrines as the US has done by codifying the “economic substance” doctrine in 2010. As explained in part 2 of this chapter a limitation of the “economic substance” doctrine whether it is established judicially or codified by statute may be its focus on the taxpayer’s intentions as the basis for attacking tax avoidance. Part 3 of this chapter goes on to explain that the U.S. could overcome this limitation by adopting a statutory General Anti-Abuse Rule (“GAAR”). GAARs also impose generally applicable limits on what constitutes acceptable (reasonable) tax arrangements. But they do so based on whether the arrangements are consistent with the legislature’s intentions as they were conveyed in the tax provision which the taxpayer is relying on for achieving the tax advantage in question. As Canada’s Federal Court of Appeal (“FCA”) explained “by confining legitimate tax avoidance to schemes that are not inconsistent with the policy underlying the statutory provision invoked by the taxpayer GAAR effectively limits the scope of the principle in Commissioners of Inland Revenue v. Duke of Westminster… that ‘[e]very man is entitled if he can to order his affairs so that the tax attaching under the appropriate Acts is less than it would otherwise be’.” Based on Canada’s experience with the GAAR parts 4 and 5 identify and explain the nexus between statutory interpretation and legislative drafting and the implications of this nexus on the application of a GAAR in the U.S. should Congress choose to take this route. Part 4 identifies that while the Supreme Court of Canada (“SCC”) has recognized the need to apply a purposive interpretation of Canada’s GAAR in order to ascertain parliament’s intentions in the relevant tax provision the court has also held that it will only give effect to those intentions which were clearly conveyed by the relevant provision and will not invent a legislative intention which parliament has failed to convey. Part 5 notes that such judicial restraint has also been taken by the U.S. Supreme Court and therefore a similar approach could be expected by the U.S. courts should Congress adopt a GAAR. Therefore it would be up to Congress as it is similarly up to Canada’s Parliament to carefully and clearly draft its legislative intentions otherwise the effectiveness of a GAAR would be undermined.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».