Notice bibliographique
Résumé
In the 2020 Tax Competitiveness report (Bazel and Mintz 2021), four conclusions were reached about Canada’s investment climate and corporate tax system. Despite accelerated depreciation and other tax preferences introduced in recent years, the existing corporate income tax is failing to spur Canada’s investment performance, which has been virtually flat since 2015 even before the pandemic.Overall, business investment has lagged most countries even in some resource-based economies with 2015-19 investment cumulative increases being stronger in Norway (16 percent), New Zealand (14 percent) and Russia (8 percent). As a result of weak labour productivity and per capita GDP growth in Canada, companies pay lower labour compensation. Canada’s corporate tax system is attractive to encourage investment in marginal projects although it has become much more distortionary and non-neutral due to incentives, thereby undermining the productive use of resources. Canada has a relatively high corporate income tax rate than most countries, thereby making Canada less attractive for greenfield projects with high economic rents from intangible or resource investments. Some countries have benefited from significant growth in capital investment from 2015 to 2019 especially Ireland (112 percent) Hungary (40 percent) and Estonia (37 percent) with competitive corporate tax systems that are quite different than other countries.Major tax reforms have also spurred stronger investment responses from 2015 to 2019 including France (16 percent), United States (14 percent) and India (24 percent). Canada could pursue further its corporate tax reforms by lowering rates and broadening tax bases to reflect economic income. However, this common approach to reform, which has been focus for Canada since 1985, seems to have reached its limit in reducing corporate tax distortions. Instead, a fundamental tax reform could help tilt the playing field towards Canada to boost investment, reduce tax distortions and simplify administration and compliance, without a significant loss in revenue. I call this a “big-bang reform”. As explained below, the basic proposal is to convert the corporate tax into a tax on distributed profits that would improve static and dynamic efficiency in the corporate tax system.[1] It is not a perfect system, but it could be a practical approach to boost growth and make the corporate tax more efficient and fairer. As shown below, there are some important advantages to the approach, particularly reducing tax distortions that discourage investment especially for the service sectors in the economy. The proposed structure would also be compatible with international tax systems and continue support for small businesses. It does have one disadvantage – it would potentially be distortionary in financing decisions by favouring retained earnings over other funding sources. Recommendations will be made to the taxation of share buybacks and capital gains that would create potentially greater neutrality among financing sources compared to the existing system. Much of this detail will be explained further below. The paper begins with a discussion of the current problems with the corporate income tax in Canada. This will be followed by a description of the proposed corporate tax on distributed profits, including a review of both the positive and negative aspects of the proposal. A rent-based approach to the taxation of corporate distributions is considered, which would be consistent with a personal tax reform along the lines of the expenditure approach, as explained below. [1] Our proposal could also be adjusted to tax only corporate rents by redefining the tax base as distributed profits net of the new equity financing (although this would require a substantially higher corporate income tax rate to make up for the loss of revenues). This approach would be appropriate if the personal income tax is also reformed to remove the tax on savings. We will discuss this further below.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,015 | 0,032 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,007 | 0,008 |
| Communication savante | 0,012 | 0,010 |
| Science ouverte | 0,003 | 0,006 |
| Intégrité de la recherche | 0,026 | 0,019 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,013 | 0,005 |
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 source (Gemma direct ou Codex distillé), 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 ».