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Assurance, intervention publique et ambiguïté : une étude expérimentale auprès de propriétaires forestiers privés

Author

Listed:
  • Marielle Brunette

    (LEF - Laboratoire d'Economie Forestière - INRA - Institut National de la Recherche Agronomique - AgroParisTech)

  • Laure Cabantous
  • Stéphane Couture

    (UBIA - Unité de Biométrie et Intelligence Artificielle (ancêtre de MIAT) - INRA - Institut National de la Recherche Agronomique)

  • Anne Stenger

    (LEF - Laboratoire d'Economie Forestière - INRA - Institut National de la Recherche Agronomique - AgroParisTech)

Abstract

L'objectif de ce travail est double. Premièrement, à l'aide de modélisations théoriques, nous proposons plusieurs prédictions liées au comportement d'assurance face à différents programmes d'intervention publique et à l'ambiguïté. Deuxièmement, nous testons ces prédictions dans une expérimentation réalisée avec des propriétaires forestiers français. Nous montrons que l'intervention publique réduit la demande d'assurance des propriétaires forestiers, et ce quelle que soit sa forme : aide forfaitaire, aide forfaitaire contingente ou subvention. Nous prouvons également que l'aide forfaitaire réduit davantage la demande d'assurance qu'une aide forfaitaire contingente ou une subvention à l'assurance. Nous mettons également en évidence l'aversion à l'ambiguïté des propriétaires. Nous montrons aussi que cette aversion à l'ambiguïté peut apparaître de façon conjointe avec une aversion pour le risque. Ce résultat indique que les préférences vis-à-vis du risque et celles vis-à-vis de l'ambiguïté peuvent être corrélées. Toutefois, il ressort actuellement de la littérature tant théorique (Klibanoff et alii, 2005 ; Gollier, 2006) qu'empirique (Chakravarty et Roy, 2008) qu'il n'existe pas nécessairement un lien direct entre ces deux types de préférences. Un tel résultat mériterait des études plus approfondies.

Suggested Citation

  • Marielle Brunette & Laure Cabantous & Stéphane Couture & Anne Stenger, 2009. "Assurance, intervention publique et ambiguïté : une étude expérimentale auprès de propriétaires forestiers privés," Post-Print hal-01072335, HAL.
  • Handle: RePEc:hal:journl:hal-01072335
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    References listed on IDEAS

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    Cited by:

    1. Guibril Zerbo, 2024. "Disposition à payer pour l’assurance contre les risques naturels: une étude de terrain au Burkina Faso," EconomiX Working Papers 2024-7, University of Paris Nanterre, EconomiX.
    2. Marielle Brunette, 2011. "Une application du Processus de Décision de Markov au secteur forestier : risque de production, de prix et perte de qualité," Post-Print hal-01000606, HAL.
    3. Marielle Brunette & Marc Hanewinkel, 2021. "Assurance financière et assurance naturelle : une application à la forêt," Working Papers of BETA 2021-28, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    4. Marielle Brunette & Stéphane Couture & Serge S. Garcia, 2011. "Determinants of insurance demand against forest fire risk: Evidence from experimental and real world data," Post-Print hal-01191123, HAL.

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    Keywords

    ECONOMIE FORESTIERE; AMBIGUÏTE;

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