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Record W2270708013

Experimental Determination of Canadian Consumers’ Willingness-to-pay for Meat Packaging

2009· article· en· W2270708013 on OpenAlexaffabout
Carola Grebitus, Sven Anders, Helen H. Jensen, Jutta Roosen, Joseph G. Sebranek

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Environmental Valuation
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsFood safetyWillingness to payBusinessShelf lifeFood packagingFood spoilageModified atmosphereProduct (mathematics)Quality (philosophy)MarketingAgricultural scienceFood scienceEconomicsEnvironmental science
DOInot available

Abstract

fetched live from OpenAlex

Safety issues in the meat industry (e.g. food-borne illness outbreaks) have damaged its public image. Apart from pressure arising from public perceptions, the industry is confronted with a largely saturated consumer market for meat products continuing to demand higher product quality and greater quality assurance. A key component in achieving improved quality/ safety is the investment in technologies that foster food safety innovations. Recently, a number of technological advances have been achieved through improved meat packaging that has the potential to mitigate the threat of microbial food hazards to consumers. However, economists still lack a sound understanding of determinants of consumer behavior towards new food technologies. We focus on the analysis of consumer willingness-to-pay (WTP) for new meat packaging technologies that affect quality/ safety attributes associated with meat products. We investigate effects of color stabilization, shelf life extension and modified atmosphere packaging (MAP) on Canadian consumers’ WTP for ground beef – a staple in the North American diet. Improved meat color stability and extended shelf life can be achieved with MAP, the replacement of air with other gases (e.g. O 2 , CO 2 ) during packaging. While MAP in general extends shelf life, MAP including carbon monoxide (MAP/CO) additionally enhances meat color. MAP is favorable for consumers due to attractive meat color and increased shelf life. Meat packers benefit from cost savings arising from longer shelf life with less spoilage and economic loss due to meat color change from natural oxidation. Nevertheless, some consumer-activist groups oppose MAP/CO claiming it potentially masks product spoilage. In fact, consumers who use color as the only indicator of meat freshness and ignore expiration dates might be at risk. Thus, consumer acceptance of and WTP for MAP and MAP/CO needs to be analyzed and weighed against industry costs/ benefits in order to provide meat producers/ retailers with recommendations. We investigate for the first time consumers’ willingness to accept and WTP for shelf life extension and color stabilization of ground beef resulting from MAP and MAP/CO under different information scenarios. In 2008 we conducted choice experiments in Canada (n=205). P articipants made repeated choices between scenarios of two different ground beef packages. The experimental design included color, shelf life and price with three levels each. The attributes differed from scenario to scenario according to a fractional factorial design. In three rounds, participants received different information regarding MAP and MAP/CO. The sample was split. One half made choices between ground beef carrying MAP labels, the other half made choices between ground beef not carrying any labels. While the first sub-sample was enabled to make an informed choice the second sub-sample only received information but did not know whether the ground beef packages were packaged under a modified atmosphere - reflecting the current market situation. Mixed logit models are used to analyze the data. Our results provide recommendations regarding price premiums for extended shelf life, stabilized color and increased food safety applying MAP. Preliminary results show preferences for bright red ground beef with a 3 day shelf life and a price of $2.58/lb.

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.226
Threshold uncertainty score0.454

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.095
GPT teacher head0.240
Teacher spread0.145 · 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

Citations0
Published2009
Admission routes2
Has abstractyes

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