Titlebook: Beyond Networks - Interlocutory Coalitions, the European and Global Legal Orders; Gianluca Sgueo Book 2016 Springer International Publishi

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https://doi.org/10.1007/978-3-319-32718-1tworks and/or groupings of civil society actors. The first underlying characteristic of supranational coalitions of civil society is the composition. Non-governmental organisations are the most recurring typology of member of such coalitions. As a general rule, individuals are not admitted as member

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Helena P. Osana,Nathalie Duponsel rule-making and implementation. Mediation consists of the discussion of the diverging positions carried out by the coalitions’ participants and the promotion of policy alternatives to supranational decision-makers. From an early stage, coalitions of civil society actors mediate “internally” between

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https://doi.org/10.1007/978-3-319-32718-1cuss the extent to which coalitions of such actors may be considered as a remedy to these problems. In order to do so, this chapter defines the concept of accountability by pointing at its diverse aspects, and makes a distinction between two forms of accountability, namely: functional and strategic.

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Julie Sarama,Douglas H. Clementstisation of supranational administrative governance. Two questions will be posed. The first is more topical, in that it speculates on how these coalitions may be considered among the actors who concretely contribute to influencing the interactions between global and European decision-making processe

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Julie Sarama,Douglas H. Clementss the functioning of coalitions of civil society actors; second is the competition among different coalitions; third is the issue of uniqueness (i.e. when a supranational regulator refuses to co-operate with a coalition of civil society actors on the basis of rules or standards formerly approved by

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Studies in European Economic Law and Regulationhttp://image.papertrans.cn/b/image/185241.jpg

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Book 2024ies in the dynamic and data-rich landscape. It highlights the future research directions in data analytics, big data, and machine learning that explores the emerging trends, challenges, and opportunities in these fields by covering interdisciplinary approaches such as handling and analyzing real-tim

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