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Enregistrement W2788476120 · doi:10.55016/ojs/sppp.v11i1.43286

Alberta’s Changing Industrial Structure: Implications for Output and Income Volatility

2018· article· en· W2788476120 sur OpenAlexaffabout
Bev Dahlby, Mukesh Khanal

Notice bibliographique

RevueThe School of Public Policy Publications · 2018
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueCanadian Policy and Governance
Établissements canadiensUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésVolatility (finance)EconomicsEconometrics

Résumé

récupéré en direct d'OpenAlex

The counterpart to the economic cycle is the policy cycle. Whenever there is a downturn in the Alberta economy because of slumping oil and gas prices, politicians of all persuasions, from Peter Lougheed to Rachel Notley, have called for policies to diversify the economy, on the assumption that expanding other sectors of the economy will insulate Alberta’s economy against volatile oil and gas prices. However, just because a sector is not directly part of the oil and gas extraction sector, does not necessarily make it counter-cyclical. In fact, the sectors that have been promoted in the name of diversification are often linked to the oil and gas extraction sector and follow the same boom-bust cycle.In other words, the government’s attempts to subsidize certain sectors in the name of “diversification” do not insulate the provincial economy from fluctuations in oil and gas prices and may even exacerbate the economic cycle. Missing in the discussion is an appreciation of how changes in the structure of the Alberta economy have affected output and income volatility. In the last 20 years, sectoral output shares have become more diversified in Alberta, and this has contributed to a 21 per cent reduction in aggregate output volatility over that period. Successive governments have tried promoting manufacturing as a way to diversify the economy, but manufacturing is the third most volatile sector, and its volatility is linked closely with the boom-bust cycles of the oil and gas extraction sector. So, increasing manufacturing, including petrochemical manufacturing, will actually make output volatility worse, not better. In fact, a one standard deviation increase in average per capita output in the oil and gas extraction sector is associated with in a 9.45-per cent increase in average per capita output in the chemical manufacturing subsector, suggesting the same boom-and-bust relationship between the two sectors. It is not the only sector like that: 16 other sectors in Alberta are linked to the same boom-bust cycle as the oil and gas sector. The more important diversification issue in the province is not output volatility, but the volatility of labour income. In the last 20 years, labour income has become increasingly concentrated in Alberta’s two most volatile sectors, oil and gas extraction and construction. As a result, volatility of aggregate labour income in Alberta increased by 40 per cent during that period. Rather than trying to change Alberta’s industrial mix by subsidizing industries that may only contribute to more volatility of economic output, a more sensible government approach would be to adopt policies that address the problem of labourincome volatility. That would include finding ways to expand unemployment insurance for Alberta workers, as the current federal government policy actually provides fewer supports to unemployed Albertans than it does to residents of other regions. Average weekly earnings of Albertans were 20 per cent higher than national average weekly earnings over the 2012 to 2016 period. However, maximum annual insurable earnings under EI are determined based on national average weekly earnings. Higherwage earners should have the opportunity to enrol in a voluntary supplemental EI program, and if the federal government does not want to provide it, the provincial government could. Additionally, the government can promote self-insurance among workers by expanding tax-sheltered savings products, like tax-free savings accounts, so workers can accumulate back-up funds when labour incomes are high, to help sustain them during downturns. Finally, the provincial government needs to abandon its procyclical spending patterns. That means spending less money when oil revenues are high, to avoid exacerbating labour and material shortages, and maintaining spending, rather than forced cutbacks, during downturns in the economy. That, of course, would require a great deal more political discipline than the easier and more fashionable attempts to subsidize output diversification.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut 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 enseignants0,057
Score d'incertitude au seuil0,156

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,003
Études des sciences et des technologies0,0020,001
Communication savante0,0040,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0050,000

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 Opus0,081
Tête enseignante GPT0,346
Écart entre enseignants0,265 · 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 source (Gemma direct ou Codex distillé), 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
Publié2018
Routes d'admission2
Résumé présentoui

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