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Enregistrement W2259341646 · doi:10.11575/sppp.v8i0.42549

The Case for a Carbon Tax in Alberta

2017· article· en· W2259341646 sur OpenAlexaffabout
Sarah Dobson, Jennifer Winter

Notice bibliographique

RevueUniversity of Calgary · 2017
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueAtmospheric and Environmental Gas Dynamics
Établissements canadiensUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésGreenhouse gasCarbon taxNatural resource economicsJurisdictionFossil fuelPurchasingCarbon priceTonneCarbon fibersEconomicsAgricultural economicsBusinessEnvironmental scienceWaste managementOperations managementEngineeringPolitical science

Résumé

récupéré en direct d'OpenAlex

In 2007, Alberta demonstrated that it could be a leader in the effort to reduce greenhouse gas emissions by becoming the first North American jurisdiction to put a price on carbon. Given that the province had long been criticized for its central role in the carbon-based economy, Alberta’s move was important for its symbolism. Unfortunately, the emissions policy itself has delivered more in symbolism than it has in actually achieving meaningful reductions in greenhouse gas emissions. The Specified Gas Emitters Regulation (SGER), as the carbon-pricing system is formally called, has only helped Alberta achieve a three per cent reduction in total emissions, relative to what they would have been without the SGER. And emissions keep growing steadily, up by nearly 11 per cent between 2007 and 2014, with the SGER only slowing that growth by a marginal one percentage point. Alberta’s carbon-pricing policy simply fails to combat emissions growth; the province needs a new one. Lack of progress in reducing emissions appears to be partly attributable to the fact that many large emitters find it more economical to allow their emissions to rise beyond the provincially mandated threshold, and instead are purchasing amnesty at a lower cost through carbon offsets or by paying the levies that the SGER imposes on excess emissions. But it is also partly attributable to the fact that the SGER only applies to large emitters who annually produce 100,000 tonnes of CO2-equivalent all at one site: mainly oil sands operations and facilities that generate heat and electricity. This excludes operations that emit well over that threshold, but across diffuse locations. The transportation sector, which is typically spread out in just such a way, is the third-largest sector for emissions in Alberta. Its emissions are also growing faster than those of the mining and oil and gas sector, even as emissions in the electricity and heat generation sector are actually declining. And if we combine the emissions from the transportation sector with those of the manufacturing and industrial sector, which can also be characterized by scattered operations, they substantially exceed those of the electricity and heat generation sector. Indeed, over 58 per cent of Alberta emissions come from places other than oil and gas and mining. There will surely be those who prefer strengthening SGER to a carbon tax; this is not likely to make enough of a difference for Alberta to meet its carbon-reduction goal of 218 Mt by 2020. The government would make far more progress by implementing a broad carbon tax, similar to the one in British Columbia, which applies to all emitters and consumers. The cost to the economy would not be steep: For a $20 per tonne tax, the cost would be 0.9 per cent of gross output (or 1.7 per cent at $40 a tonne). And the cost to households would be less than $700 a year. As in B.C., the proceeds would be better recycled in the form of reduced corporate income taxes, personal taxes, and subsidies to lowincome households, to offset the extra burden and distortions a carbon tax would create. But unlike the current SGER, a carbon tax would succeed in being more than a symbolic, largely futile gesture.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,312
Score d'incertitude au seuil0,983

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,005
Tête enseignante GPT0,176
Écart entre enseignants0,171 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2017
Routes d'admission2
Résumé présentoui

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