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Record W2512029857 · doi:10.1111/cjag.12108

The Economic Impact of a Foot‐and‐Mouth Disease Outbreak for Ontario's Beef Sector

2016· article· en· W2512029857 on OpenAlexaffvenueabout
Alexander P. Cairns, Tor N. Tolhurst, Kenneth K. Poon, Alan P. Ker, Stephen Duff, David Jacques, Lin Yang

Bibliographic record

VenueCanadian Journal of Agricultural Economics/Revue canadienne d agroeconomie · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Disease Management and Epidemiology
Canadian institutionsMinistry of Agriculture, Food and Rural AffairsUniversity of Guelph
Fundersnot available
KeywordsOutbreakLivestockWelfareEconomic impact analysisAnimal welfareAgricultural economicsBusinessComputable general equilibriumEconomicsGeographyMarket economyEcology

Abstract

fetched live from OpenAlex

Biosecurity is an increasingly prominent concern to the Canadian agri‐food sector given heightened public awareness of animal welfare and the continued importance of trade. Due to the potential for large‐scale animal depopulation and uncertain trade flow restrictions, the economic costs and animal welfare implications of disease outbreaks have prompted efforts to control their spread within and across trade boundaries. We build a partial equilibrium model of the beef supply chain in Ontario to examine the welfare impacts of a foot‐and‐mouth disease outbreak inside and outside the province. Somewhat surprisingly, economic impacts for Ontario are not dramatically different between an outbreak within the province versus an outbreak in western Canada: losses total $245 and $217 million, respectively. When the outbreak occurs outside Ontario and provincial zoning is recognized, losses total only $93 million. Restrictions on international and, inter‐ and intra‐provincial movement of livestock and beef products are the main driver of losses. A strength of our model is that we are able to disaggregate these impacts across the various market participants (i.e., producers, processors, retailers, consumers). Retailers and consumers incur little to no losses as imports from the United States easily fill shortages in supply. Production losses from livestock movement restrictions and depopulation are partially offset by higher prices, while processors bear the brunt of the losses due to reduced supply and higher livestock prices. La biosécurité revêt de plus en plus d'importance dans le secteur agroalimentaire canadien en raison de la sensibilisation accrue du public au bien‐être animal et de l'importance soutenue du commerce. Compte tenu de l’éventualité d'un dépeuplement animal à grande échelle et de mesures pouvant restreindre le flux des échanges commerciaux, le coût économique des éclosions de maladies et leurs répercussions sur le bien‐être animal ont stimulé les efforts afin de maîtriser leur propagation tant à l'intérieur qu’à l'extérieur des frontières commerciales. Dans la présente étude, nous avons élaboré un modèle d’équilibre partiel de la chaîne d'approvisionnement du bœuf en Ontario afin d'examiner les répercussions d'une éclosion de fièvre aphteuse à l'intérieur et à l'extérieur de la province. Étonnamment, que l’éclosion survienne en Ontario ou dans l'Ouest canadien, l'impact économique pour l'Ontario ne diffère pas considérablement : les pertes totales étant de 293 millions de dollars (M$) et de 267 M$ respectivement. Lorsque l’éclosion survient à l'extérieur de l'Ontario et que les zones de contrôle provinciales sont déterminées, les pertes totales s’élèvent à 27 M$ seulement. Les restrictions concernant le déplacement du bétail et des produits de bœuf entre pays, entre provinces et à l'intérieur d'une même province constituent les principaux facteurs entrainant des pertes. L'une des forces de notre modèle tient au fait que nous avons été en mesure de désagréger les impacts entre les différents acteurs dans le marché (producteurs, transformateurs, détaillants et consommateurs). Les détaillants et les consommateurs subissent peu ou pas de pertes étant donné que les importations en provenance des États‐Unis comblent facilement les pénuries de l'offre. Du côté des producteurs, les pertes causées par le déplacement et le dépeuplement du bétail sont en partie contrebalancées par des prix élevés, tandis que les transformateurs essuient les pertes les plus lourdes en raison d'une diminution de l'offre et du prix du bétail élevé.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.315

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.187
Teacher spread0.157 · 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 designSimulation or modeling
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

Citations9
Published2016
Admission routes3
Has abstractyes

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