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Enregistrement W6940848969 · doi:10.11575/sppp.v10i0.43037.g30810

Big and Little Feet: A Comparison of Provincial Level Consumption- and Production-Based Emissions Footprints

2017· article· en· W6940848969 sur OpenAlexaboutno aff

Notice bibliographique

RevueUniversity of Calgary · 2017
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueMycorrhizal Fungi and Plant Interactions
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésGreenhouse gasConsumption (sociology)Carbon leakageProduction (economics)IncentiveClimate changeJurisdictionCarbon priceEmissions trading

Résumé

récupéré en direct d'OpenAlex

A comprehensive national climate policy needs to provide both producers and consumers with incentives for reducing greenhouse gas emissions. Too often, policy discussions focus on emissions reduction among producers. This limited perspective fails to take into account the complex relationship between emissions production in one region and consumption demands in another. All economic production requires both a producer and a consumer. If no consumer for a good or service exists, then that good or service will not be produced. We understand the producer’s role in generating Canada’s greenhouse gas emissions, but often forget the consumer’s role. In this paper, we explore both the conventional production-based emissions accounting as well as consumption-based accounting, wherein all of the emissions generated in order to produce a final consumption good are allocated to consumers of those goods. Production and consumption are not a simple case of cause and effect. Rather, production emissions diverge strongly across Canadian provinces while consumption emissions tend to be similar. Significant interprovincial and international trade flows in emissions enable this pattern. Recognition of these trade flows provides important insights for the development of Canada’s national climate change strategy. Interprovincial trade flows provide a strong argument in support of Canada’s forthcoming national carbon price. By ensuring the large majority of emissions in Canada are similarly priced – regardless of where they are produced – it minimizes the risk of interprovincial carbon leakage (where companies avoid the carbon price by relocating to a jurisdiction with weaker climate measures) and increases the likelihood that Canadian consumers will face an incentive to adjust their demand of domestically produced carbon intensive goods. Implementation of a national carbon price must make allowances for production sectors with significant international trade flows in emissions, or risk damaging that trade. Higher costs for Canadian producers can have a detrimental effect on competition in these sectors, resulting in less demand for Canadian products domestically and internationally. It can also lead to international carbon leakage. The resultant increase in global greenhouse gas emissions defeats the purpose of enacting stringent regulations in Canada. Striking a balance requires that the federal government create complementary policies that reduce the burden of a national carbon price on trade-exposed Canadian producers while still providing incentives for them to invest in reducing their emissions. In Canadian sectors with minimal trade exposure – i.e., those with emissions that are largely produced and consumed within Canada – it is best to focus complementary policies to a national carbon price on achieving additional emissions reductions. The utilities, personal transportation and residential sectors are all good targets for these types of complementary policies. Another important policy question is how to equitably divide the burden of meeting Canada’s national emissions reduction target across the provinces. This does not lend itself to simple solutions. Some provinces have significant hydroelectric resources, providing them with a non-fossil fuel electricity source that leads to lower emissions. An approach that mandates similar emissions intensities per capita across Canada will be to those provinces’ advantage. However, there is also a historical approach to burden sharing that puts the provinces with lower emissions at a disadvantage. This allows a province like Alberta to have higher emissions levels because it has always had them. The best model for distributing Canada’s emissions reduction target is a hybrid one that all provinces can support without any of them feeling they are at a disadvantage. There is a strong case for granting all provinces an equal right to consumption emissions as a starting point. However, a final emissions allocation must come with the recognition that a province’s consumption is often supported by production emissions outside of that province. Drafting climate policy can be fraught with consequences that come from focusing on one side only of the production/consumption equation. Where consumption drives emissions is as important as where they are produced. A balanced policy that reflects the implications of domestic and international emissions trade flows is the best and fairest way for Canada to contribute to reducing the world’s greenhouse gas emissions.

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 enseignants0,121
Score d'incertitude au seuil0,514

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 Opus0,048
Tête enseignante GPT0,237
Écart entre enseignants0,189 · 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'admission1
Résumé présentoui

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