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Record W2603138354

Consumer Preference and Willingness-To-Pay for Locally Produced, Organic Food: A Stated Choice Approach

2014· dissertation· en· W2603138354 on OpenAlexaboutno aff
Yihong Zheng

Bibliographic record

VenueThe Atrium (University of Guelph) · 2014
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicOrganic Food and Agriculture
Canadian institutionsnot available
Fundersnot available
KeywordsWillingness to payPreferenceEconomicsFood choiceMarketingBusinessMicroeconomicsMedicine
DOInot available

Abstract

fetched live from OpenAlex

This study investigates Canadian consumers' preferences for organic and locally produced processed foods. The analysis is based on three choice experiments, one for pork tenderloin, one for whole grain bread and one for cheddar cheese, and implemented through an internet based survey. The choice experiments address two important research questions. First, what food attributes do Canadians associate with when they purchase locally produced organic foods? Second, which food attributes command a higher premium? Results from conditional logit regression models suggests that there is a disutility associated with food mileage, where respondents were willing to pay a premium of $0.00061 per kilometer per loaf of whole grain bread, $0.00664 per kilometer per kilogram of pork tenderloin and $0.00937 per kilometer per kilogram of cheddar cheese respectively. Respondents were also willing to pay a premium for the authentication of organic. More specifically, respondents are willing to pay a premium for certified organic whole grain bread ($0.076/loaf), certified organic pork tenderloin ($0.8299/kg) and certified organic cheddar cheese ($0.3381/kg).

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.967
Threshold uncertainty score0.346

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.194
Teacher spread0.174 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations4
Published2014
Admission routes1
Has abstractyes

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