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Record W1506401916 · doi:10.1108/ijwbr-2012-0015

What drives environmental sustainability in the New Zealand wine industry?

2013· article· en· W1506401916 on OpenAlexaff
Rachel Dodds, Sonya Graci, Soyoung Ko, Lindsay Walker

Bibliographic record

VenueInternational Journal of Wine Business Research · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicWine Industry and Tourism
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsWinerySustainabilityBusinessMarketingConsumption (sociology)AgricultureWineGeography

Abstract

fetched live from OpenAlex

Purpose While global wine consumption is growing, environmental sustainability in the wine industry is also receiving increased attention from retailers, governments, environmental groups, and consumers. New Zealand has experienced a winery boom over the past two decades with a 173 per cent increase in the number of wineries. Along with this growth, wineries are also facing issues such as water consumption, its impact on community, and waste management. The study therefore seeks to examine: the current sustainability initiatives undertaken by wineries; what drives the wine industry to engage in sustainable practices; and barriers to implementing sustainable practices. Design/methodology/approach Using a mixed method research approach, this study uses a triangulated approach to examine interviews and questionnaires to determine motivations and elements of influence. Findings This study found that the strong drivers for the sustainability initiatives are their concern about the state of the environment and social responsibility, followed by requirements for exporting and protection of agricultural land. Research limitations/implications A limitation of this study was a low response rate from the online questionnaire, which may influence or bias study results. However, detailed face‐to‐face interviews help to gain clarification on concepts and study results. Practical implications While global wine consumption is growing, environmental sustainability in the wine industry is also receiving increasing attention from retailers, governments, environmental groups and consumers. New Zealand has experienced a winery boom over the past two decades with a 173 per cent increase in the number of wineries. Along with this growth, wineries are also facing issues such as water consumption, its impact on community, and waste management. Originality/value Although there are many studies about the wine industry, relatively few studies have examined sustainability elements from a mixed‐method approach to determine practical elements which may influence practices undertaken. It also examines practices undertaken by wineries, barriers to implementation and incentives to further implementation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.245
Threshold uncertainty score0.487

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.319
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations81
Published2013
Admission routes1
Has abstractyes

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