MétaCan
Menu
Retour à la cohorte
Enregistrement W2898336501 · doi:10.24135/hi.v2i2.44

The rise and rise of dining out in New Zealand

2018· article· en· W2898336501 sur OpenAlexaboutno aff
Marisa Bidois

Notice bibliographique

RevueHospitality Insights · 2018
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueCulinary Culture and Tourism
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésHospitalityLiberian dollarQuarter (Canadian coin)BusinessAdvertisingGeographyAgricultural economicsMarketingEconomicsFinanceTourism

Résumé

récupéré en direct d'OpenAlex

The 2018 Restaurant Association Hospitality Report [1] shows Kiwis are eating out more often, for a wider range of occasions. The latest report finds that nationwide sales for the hospitality industry have continued to grow, with takeaway food recording the highest growth. In 2018, New Zealand’s hospitality sector achieved record sales of over $11.2 billion (year end, March). This represents sales growth of 3.6 percent over the previous year, which after two years of significant growth (8.2 percent from 2016–2017 and 9.7 percent from 2015–2016) settles at a more stabilised level in 2018. Conversely, EFTPOS data shows that grocery sales are continuing to slow, pointing to people eating out more often, replacing meals that may traditionally have been eaten at home. Over the past five years, there has been a slowdown in year-on-year supermarket sales growth from 4.9 percent in 2014 to 3.9 percent this year [2]. A recent My Food Bag and Stuff survey showed that only 52 percent of parents now eat at home every night. Statistics NZ data [3] shows that more than a quarter (26 percent) of all food spending is now at restaurants and on ready-to-eat meals, such as takeaway hot drinks and takeaway pizzas (compared with 23 percent in 2014). The takeaway/food-to-go sector is recording the highest growth. Sales for the food-to-go sector grew 5.7 percent in 2018. In dollar terms, this translates to an increase in annual sales of $148 million. But it seems we Kiwis are still hooked on dining out, with restaurants and cafés the biggest winners and accounting for $5.6 billion of all hospitality sales. Consumer spending is highest in Auckland, Wellington and Christchurch. These three regions all have annual sales of more than $1 billion per annum. The Ministry of Business Innovation and Employment (MBIE) forecast an annual employment growth for the hospitality sector of 2.7 percent per annum through to 2026. For the period 2016–2017, however, the industry achieved employment growth of almost three times that, at 6.8 percent. The total number of people employed in hospitality is now just under 130,000, with more than 72,000 in restaurants and cafés. Hospitality business owners rank their number one challenge as the lack of skilled employees, followed by managing wage costs. This competition for skilled employees has the potential to drive wage rises in some regions, although operators also look for creative ways to retain employees to ensure their labour costs are kept under control. Wages have the potential to rise beyond customers’ expectation of price rises, and that’s a challenge and a balancing act that hospitality business owners must face. The challenge for hospitality owners to find staff is compounded by the number of new businesses opening every week, although to a certain extent this is offset by a comparable number of businesses closing. In 2017, while more than 2,700 new businesses opened, due to those closures, the volume of new outlets overall was an increase of 534 new establishments. The hospitality industry has performed exceptionally well in recent years and, although 2018 sees more restrained growth, the industry is well positioned to face the challenges of its competitive operating environment. Although a more cautious outlook is expected for the remainder of 2018, there are also opportunities for operators – particularly for those that deliver an exceptional offering to customers and for those that embrace both changing consumer dining trends and developments in technology to help grow their businesses. Highlights: Nationwide sales for the hospitality industry in 2018 (year end, March) increased by 3.6 percent, to exceed $11 billion. The sales growth in 2018 carried across all sectors, excluding the clubs sector, with takeaway/food-to-go recording the highest growth of 5.7 percent. Regionally, revenue growth in the Bay of Plenty region was highest for the second year in a row at 6.8 percent, followed by Auckland at 5.1 percent. In 2017, the number of hospitality businesses nationwide increased by 534 to 17,328. The industry currently employs almost 130,000 people. The top challenges identified by the industry are a lack of skilled employees, wage costs, and building and maintaining sales. Corresponding author Marisa Bidois can be contacted at: marisa@restaurantnz.co.nz References (1) Restaurant Association. Annual Hospitality Report 2018, 2018. https://www.restaurantnz.co.nz/product/2018-hospitality-report/ (2) Marketview. Consumer Spending Year Ending June 2018. https://marketview.co.nz/news/ (accessed Aug 18, 2018). (3) Stats NZ. Retail Trade Survey: March 2018 Quarter. https://www.stats.govt.nz/information-releases/retail-trade-survey-march-2018-quarter (accessed Sep 5, 2018).

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)0,001
score de la tête « metaresearch » (Gemma)0,003
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 enseignants0,827
Score d'incertitude au seuil0,348

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0030,005
Études des sciences et des technologies0,0020,002
Communication savante0,0030,002
Science ouverte0,0010,003
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0150,001

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 Opus0,020
Tête enseignante GPT0,236
Écart entre enseignants0,216 · 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'admission1
Résumé présentoui

Explorer davantage

Même revueHospitality InsightsMême sujetCulinary Culture and TourismTravaux en français237 207