750 resultados para Legal responsibility


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Tesis (Maestría en Derecho Mercantil) U.A.N.L.

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Tesis ( Maestría en Ciencias Forestales ) U.A.N.L.

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UANL

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Il existe des interactions complexes entre les perceptions du public, les demandes et les attentes envers les professionnels de la santé par rapport au dépistage des gènes de susceptibilité au cancer et aux services médicaux offerts. Ce chapitre étudie les aspects éthiques et juridiques de ces interactions avec une emphase sur le consentement, la confidentialité, l’emploi, l’assurance et le dépistage chez les mineurs et les majeurs inaptes. Ce chapitre conclu sur la prise en compte d’enjeux entourant la propriété de l’information génétique et les brevets et propose des principes pouvant servir de base pour une responsabilité partagée quant à la participation des patients dans le développement de lignes directrices encadrant le dépistage des gènes de susceptibilité au cancer.

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We propose two axiomatic theories of cost sharing with the common premise that agents demand comparable -though perhaps different- commodities and are responsible for their own demand. Under partial responsibility the agents are not responsible for the asymmetries of the cost function: two agents consuming the same amount of output always pay the same price; this holds true under full responsibility only if the cost function is symmetric in all individual demands. If the cost function is additively separable, each agent pays her stand alone cost under full responsibility; this holds true under partial responsibility only if, in addition, the cost function is symmetric. By generalizing Moulin and Shenker’s (1999) Distributivity axiom to cost-sharing methods for heterogeneous goods, we identify in each of our two theories a different serial method. The subsidy-free serial method (Moulin, 1995) is essentially the only distributive method meeting Ranking and Dummy. The cross-subsidizing serial method (Sprumont, 1998) is the only distributive method satisfying Separability and Strong Ranking. Finally, we propose an alternative characterization of the latter method based on a strengthening of Distributivity.