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Les limites de la couverture des risques en aquaculture : le cas des conchyliculteurs en France

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Author Info

  • Véronique Le Bihan

    ()
    (LEMNA - Laboratoire d'économie et de management de Nantes Atlantique - Université de Nantes : EA4272)

  • Sophie Pardo

    (LEMNA - Laboratoire d'économie et de management de Nantes Atlantique - Université de Nantes : EA4272)

Abstract

Dans cet article, nous nous intéressons aux méthodes de gestion des risques dans le secteur conchylicole en France. Ce travail est motivé par le faible développement d'instruments spécifiques d'une part, la forte demande liée à une grande vulnérabilité du secteur d'autre part. Nous mettons en évidences les difficultés rencontrées dans la définition des risques liés au milieu de production et nous proposons une typologie de l'ensemble des risques conchylicoles. Nous montrons la prédominance des systèmes de solidarité et des mesures de prévention, face à la faible étendue des contrats d'assurance privée. Nous étudions les éléments d'inassurabilité des risques conchylicoles et nous montrons qu'il existe une forte ambiguïté pour ces risques et que l'étroitesse du secteur contribue fortement à des coûts de transaction élevés.

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Bibliographic Info

Paper provided by HAL in its series Working Papers with number hal-00527115.

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Date of creation: 18 Oct 2010
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Handle: RePEc:hal:wpaper:hal-00527115

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Related research

Keywords: Conchyliculture; risques aquacoles; couverture des risques;

References

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  1. Laure LATRUFFE & Pierre PICARD, 2005. "Assurance des catastrophes naturelles : faut-il choisir entre prévention et solidarité ?," Annales d'Economie et de Statistique, ENSAE, issue 78, pages 33-56.
  2. Camerer, Colin & Weber, Martin, 1992. " Recent Developments in Modeling Preferences: Uncertainty and Ambiguity," Journal of Risk and Uncertainty, Springer, Springer, vol. 5(4), pages 325-70, October.
  3. Kunreuther, Howard & Meszaros, Jacqueline & Hogarth, Robin M. & Spranca, Mark, 1995. "Ambiguity and underwriter decision processes," Journal of Economic Behavior & Organization, Elsevier, Elsevier, vol. 26(3), pages 337-352, May.
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  6. DIONNE, George & EECKHOUDT, Louis, . "Self-insurance, self-protection and increased risk aversion," CORE Discussion Papers RP, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE) -623, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  7. Laure Cabantous, 2007. "Ambiguity Aversion in the Field of Insurance: Insurers’ Attitude to Imprecise and Conflicting Probability Estimates," Theory and Decision, Springer, Springer, vol. 62(3), pages 219-240, May.
  8. Hogarth, Robin M & Kunreuther, Howard, 1985. "Ambiguity and Insurance Decisions," American Economic Review, American Economic Association, American Economic Association, vol. 75(2), pages 386-90, May.
  9. Hogarth, Robin M & Kunreuther, Howard, 1989. " Risk, Ambiguity, and Insurance," Journal of Risk and Uncertainty, Springer, Springer, vol. 2(1), pages 5-35, April.
  10. Ghirardato, Paolo & Marinacci, Massimo, 2002. "Ambiguity Made Precise: A Comparative Foundation," Journal of Economic Theory, Elsevier, Elsevier, vol. 102(2), pages 251-289, February.
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Cited by:
  1. Patrice Guillotreau & Véronique Le Bihan & Sophie Pardo, 2010. "Risk Perceptions and Risk Management Strategies in French Oyster Farming," Working Papers, HAL hal-00547701, HAL.

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