Studying the effects of carbon prices on sustainable development in British Columbia
Notice bibliographique
Résumé
As the years have advanced, politicians have increasingly discussed the effectiveness and rightness of putting prices on greenhouse gas emissions to discourage people from contributing more to the problem of climate change. British Columbia (B.C.), Canada’s westernmost province, introduced one such price in mid-2008 in the form of a carbon tax shift, which offset revenue that accrued to the provincial government from the sale of many carbon-based fuels with consequent cuts in personal and corporate income taxes. The provincial government argued that this would achieve greater economic growth while reducing greenhouse gas emissions and any resulting damage to the environment; however, many British Columbians have opposed the policy since it was introduced, especially in rural B.C. In this thesis, I examine the efficacy of B.C.’s carbon tax by comparing its performance on indicators associated with Sustainable Development Goals 8 (to achieve decent work and economic growth), 10 (to reduce inequality), 12 (to make production and consumption sustainable), and 13 (to reduce the damages of climate change), before and after the carbon tax was introduced, from the years 2001 to 2015, using a simple linear model to estimate the direction, magnitude, and statistical significance of changes associated with introducing the carbon tax in 2008 and raising it each year until 2012. I also conducted remote telephone interviews with randomly selected British Columbians (10 December 2020 – 18 March 2021, n=24), eight each in the communities of Coquitlam, Elkford, and Smithers, to ask them what they thought about the carbon tax’s effect on their lives, especially their ability to act more sustainably. While I found mainly mixed to positive effects associated with the carbon tax on B.C.’s aggregate-level performance with the Sustainable Development Goal indicators, most of the individuals I interviewed said the tax had not met with such success since then and, in fact, said it was responsible for making their lives worse. I find that many of the people I interviewed felt excluded from the process of making a policy that affected and continues to affect them, and that this alienation was strongest in the rural coal-mining community of Elkford. I suggest that the B.C. government should redesign its carbon tax with extensive public participation and focus on reducing 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 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 | 0,000 | 0,000 |
| 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 ».