Notice bibliographique
Résumé
The decision in fall 2015 to implement an economy-wide carbon tax is one of the most significant policy shifts ever made by Alberta. The provincial government’s attempt to become a global leader in climate change policy will be a major task made even more difficult as Alberta has both high greenhouse gas emissions and high emissions per capita. One of the biggest challenges facing policymakers will be addressing the impact that a carbon tax has on lowincome households. A vast body of research finds that pricing carbon unfairly targets lowincome households, potentially worsening inequality and forcing those with the lowest ability to pay to bear the tax’s greatest burden. This paper seeks to find the best solution to this problem. The Government of Alberta has chosen to address this issue by introducing a lump-sum transfer to lower-income Albertans alongside the carbon tax. The stated goal of these transfers is to repay the full costs of the carbon tax to the lowest-earning 60 per cent of households. This ‘carbon rebate’ is one approach to providing benefits to lower-income households. Some economists argue that the alternative policy approach of reducing personal income taxes on the lowest earners is superior. The goal of this paper is to evaluate these two policies in order to determine which is best able to achieve Alberta’s stated policy goal. This paper looks first at the potential impact of Alberta’s carbon tax on households. Distributional impacts are central to the analysis and the impacts of carbon pricing are examined by income quintile. An accurate estimate of the costs faced by households across the income distribution is performed using data on each quintile’s expenses on residential fuel, transportation fuel and electricity. The estimate is strengthened by a separation of fixed and variable costs based on electricity and residential fuel billing data. This paper finds that the carbon tax has an uneven impact, hitting the second and third quintiles hardest but leaving the lowest quintile the least impacted of the five income groups. The centerpiece of this paper is the evaluation of two test policies, each designed to represent one approach to providing benefits to lower-income households. The lump-sum transfer is designed to be as close as possible to the government’s carbon rebate. The PIT cuts are introduced using an alternative PIT system that offers tax cuts to the lowest tax bracket. Simulations using Statistics Canada’s SPSD/M program determine the effects of both policies. The evaluation finds that the lump-sum transfer is able to make the lowest and second quintiles better off and the third quintile almost no worse off under a carbon tax. The PIT cuts, on the other hand, fare poorly. PIT cuts provide the greatest benefits to Alberta’s highest-earners, while the lowest-three quintiles receive benefits far below the costs they incur under a carbon tax. This paper concludes that a lump-sum transfer system is the mechanism best suited to meeting the government’s policy goal. However, Alberta’s lump-sum transfer system is likely to fall short of making 60 per cent of Albertans no worse off under a carbon tax.
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 | 0,002 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,004 | 0,002 |
| Communication savante | 0,004 | 0,002 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,001 |
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 ».