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Enregistrement W3117657564

Ontario's Craft Beer Industry: Current Assessment and Future Directions

2016· article· en· W3117657564 sur OpenAlexaboutno aff
Natasha Gaudio

Notice bibliographique

RevueYork University Digital Library (York University) · 2016
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueWine Industry and Tourism
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCraftCurrent (fluid)BusinessEngineeringGeographyArchaeology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The micro-brewing, or craft brewing industry, is a rapidly emerging section of Ontario's economy and local food system (Agriculture & Agri-Food Canada, 2015; Beer Canada, 2016). Since the late 1980s, over 300 breweries have opened shop in Ontario. The growth of the industry is interesting for a number of reasons. The government control of beer and alcohol sales in the province has created a number of challenges for small scale brewers, challenges only now beginning to shift. Historically, the beer industry has been defined by the consolidation of three major industrial scale brewers who control at least 80% of the market. The growing craft sector has pulled local agriculture toward commercial hop production, and opened up discussion of grain sourcing and processing. The trend toward local consumption has created a broader dialogue that questions the dominant corporate and government controlled framework of beer and alcohol sales in Ontario. The industry's recent growth also appears to, in part, be related to the broader local food movement. 
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\nThis paper offers an interdisciplinary discussion on the emerging industry. It relies on three major lenses to offer a current assessment of the industry and the experience a brewing entrepreneur has in Ontario at present. First, it looks at the craft brewing industry within the framework of the local food network in Ontario. Second, this paper places the small to medium enterprise (SME) network of the micro-brewing industry within the framework of the Green Economy, which sees SMEs as having a pivotal role. It also seeks to understand the role of SMEs in contributing to a low-growth, or steady-state economy as outlined by Victor, 2008. Finally, this paper approaches the industry at the individual company level, examining business practices and sustainability therein. The approach taken by this paper is useful in understanding the functional and operational challenges and successes food SMEs have in carrying out their place within the green economy and local food system. 
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\nThis paper contributes a new perspective to the limited existing literature on the craft beer industry in Ontario, and by extension the emerging role of SMEs in the growing local food sector. By undertaking analysis of four distinct breweries of various life-spans and scale, it assumes some common challenges or successes the brewing entrepreneur would find in this sector. The major questions addressed in this paper are: what role do SMEs have to play in the local food movement in Ontario; what are their entrepreneurial limitations or strengths under the current system, and by extension, what are their capabilities in integrating sustainability into their business practices? 
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\nLastly, the findings highlight patterns and trends, and offer some recommendations regarding the future of craft in the Province and some speculations on leveling the playing field of the retail sales channels systems. Results show that craft brewing entrepreneurs are committed to maintaining independence and autonomy over their businesses, are driven by passion for the craft and are mindful of growing their businesses responsibly. Many of these entrepreneurs are highly conscientious and critical of growing too large, and aim to integrate ethics and sustainability into their business practices in response to the glaring issues corporate consolidation has created for themselves and the economy.

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 candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,636
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,009
Science ouverte0,0000,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,013
Tête enseignante GPT0,175
Écart entre enseignants0,162 · 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.

Devis d'étudeSans objet
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

Citations1
Publié2016
Routes d'admission1
Résumé présentoui

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