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Social Multi-Criteria Evaluation for a Sustainable Economy

106,99 €*

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Produktnummer: 18584d45f45d6f4a42b6e9affb153be336
Autor: Munda, Giuseppe
Themengebiete: Complex systems theory Social choice Sustainable development calculus decision theory sustainability sustainable economy
Veröffentlichungsdatum: 07.12.2007
EAN: 9783540737025
Sprache: Englisch
Seitenzahl: 210
Produktart: Gebunden
Verlag: Springer Berlin
Produktinformationen "Social Multi-Criteria Evaluation for a Sustainable Economy"
The real world is characterized by deep complexity. May be a rather unremarkable observation, yet it has important implications on the manner policy problems are represented and decision-making is framed. Is contemporary democracy compatible with science in real-world policy-making? This book gives answers in the affirmative. It also asserts that this congruence can have positive implications not only in terms of economic prosperity but also when dealing with the difficult sustainability policy problems of our millennium. To address contemporary issues economic science will have to expand its empirical relevance by introducing more and more realistic assumptions to its models. One of the most interesting research orientations in recent times in the field of public economics is the explicit attempt to take account of political constraints, interest groups and collusion effects. One of the main novelties of this book is its establishment of a clear relationship between social and public choice theories on one hand, and multiple criteria decision analysis on the other. The pioneering research developed by Arrow and Raynaud (1986) has shown that the relationships between multi-criteria decision theory and social choice are clear and relevant. The main directions of cross-fertilization between these research fields are twofold: 1. Multi-criteria decision theory can be an adequate framework for applied social (and public) choice. 2. Social choice can produce interesting theoretical results for ensuring the ax- matic consistency needed by multi-criterion aggregation conventions.

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