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Does Canada Need Mandatory HACCP? Evidence from the Ontario Food Processing Sector

2006· article· en· W2157012683 on OpenAlexaffvenueabout
Deepananda Herath, Spencer Henson

Bibliographic record

VenueCanadian Journal of Agricultural Economics/Revue canadienne d agroeconomie · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Safety and Hygiene
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsFood safetyHazard analysis and critical control pointsBusinessTraceabilityCritical control pointControl (management)Risk analysis (engineering)Food processingFood industryMarketingProcess managementOperations managementComputer scienceFood scienceEconomics

Abstract

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The likelihood of the voluntary adoption of hazard analysis and critical control point (HACCP) among food processing firms is evaluated by exploring the perceptions of food safety managers with respect to a range of possible motivating factors including the exogenous pressure to adopt HACCP, efficacy of existing food safety controls, perception that HACCP will improve the firm's food safety controls, relative costs and benefits of HACCP implementation, impact of HACCP on business performance, and the nature of barriers to implementing HACCP. While market‐based factors exert substantial pressure on firms to adopt HACCP, many food safety managers perceive that their existing food safety controls are adequate to meet existing food safety demands. While good manufacturing practice (GMP) and traceability are considered the most efficacious food safety controls, HACCP is most often perceived to provide intangible and “incidental” benefits that are often not recognized by food safety managers a priori. An important barrier to the voluntary adoption of HACCP is the perceived questionable appropriateness of HACCP for enhancing food safety controls, while financial constraints can be an absolute barrier to implementation. The results suggest a number of potential strategies through which the implementation of HACCP might be facilitated and enhanced through cooperation and coordination between regulators and industry organizations. La probabilité que les entreprises de transformation des aliments adoptent volontairement le système HACCP (analyse des risques et maîtrise des points critiques) a étéévaluée en examinant les perceptions des gestionnaires de sécurité alimentaire envers certains facteurs de motivation possibles tels que la pression exogène, l'efficacité des moyens de contrôle existants, la perception voulant que le système HACCP améliore le contrôle de la sécurité alimentaire de l'entreprise, les coûts et les avantages relatifs de la mise en place du système, les répercussions du système sur la performance de l'entreprise et la nature des obstacles à la mise en place du système. Bien que des facteurs de marché exercent d'importantes pressions pour que les entreprises adoptent ce système, de nombreux gestionnaires de sécurité alimentaire estiment que leurs moyens de contrôle existants répondent adéquatement aux demandes actuelles de sécurité alimentaire. Bien que les bonnes pratiques de fabrication (BPF) et la traçabilité soient considérées comme les moyens de contrôle de la sécurité alimentaire les plus efficaces, le système HACCP est le plus souvent perçu comme procurant des avantages intangibles et ≪accessoires≫ qui, souvent, ne sont pas reconnus a priori par les gestionnaires de sécurité alimentaire. La pertinence discutable perçue du système HACCP comme moyen d'améliorer le contrôle de la sécurité alimentaire constitue un important obstacle à l'adoption volontaire du système, bien que les contraintes financières peuvent être un obstacle absolu à sa mise en place. Les résultats suggèrent un certain nombre de stratégies potentielles grâce auxquelles la mise en place du système pourrait être facilitée et améliorée par la collaboration et la coordination entre les organismes de réglementation et les entreprises de l'industrie de la transformation des aliments.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.168
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.140
Teacher spread0.117 · 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.

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

Citations37
Published2006
Admission routes3
Has abstractyes

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Same venueCanadian Journal of Agricultural Economics/Revue canadienne d agroeconomieSame topicFood Safety and HygieneFrench-language works237,207