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Canadian Hog Supply Response: A Provincial Level Analysis

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  • James Rude
  • Yves Surry

Abstract

type="main" xml:lang="fr"> Le secteur canadien du porc a connu deux décennies de croissance tumultueuse et pourtant, il n'existe pas d'estimations récentes de la réponse de l'offre. Dans la présente étude, nous avons utilisé la méthode de l'espace des états pour tenir compte d'une multiplicité de changements structurels indépendants ayant des répercussions sur le secteur et nous avons examiné le lien fondamental entre la réponse de l'offre et les prix des porcs afin de déterminer si ce lien a changé par rapport aux estimations antérieures. Les résultats de notre étude coïncident avec ceux des recherches antérieures et offrent des estimations auparavant non disponibles de la réponse de l'offre par rapport aux prix des aliments pour animaux et de la variabilité des prix des porcs et des aliments pour animaux. L’élasticité-prix des aliments pour animaux est quelque peu supérieure à l’élasticité-prix des porcs. Les répercussions du risque lié au prix sur la réponse de l'offre semblent assez réduites, tandis que les répercussions du risque lié au prix des aliments pour animaux sont plus importantes que celles du risque lié au prix des porcs.

Suggested Citation

  • James Rude & Yves Surry, 2014. "Canadian Hog Supply Response: A Provincial Level Analysis," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 62(2), pages 149-169, June.
  • Handle: RePEc:bla:canjag:v:62:y:2014:i:2:p:149-169
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    More about this item

    JEL classification:

    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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