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Titlebook: Obtaining the best from Regulation and Competition; Michel A. Crew (Editor),Michael A. Crew,Menahem Sp Book 2005 Springer-Verlag US 2005 M

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发表于 2025-3-21 16:35:45 | 显示全部楼层 |阅读模式
书目名称Obtaining the best from Regulation and Competition
编辑Michel A. Crew (Editor),Michael A. Crew,Menahem Sp
视频video
概述Original essays address issues faced by network industries and regulators.Includes supplementary material:
丛书名称Topics in Regulatory Economics and Policy
图书封面Titlebook: Obtaining the best from Regulation and Competition;  Michel A. Crew (Editor),Michael A. Crew,Menahem Sp Book 2005 Springer-Verlag US 2005 M
描述.Deregulation has introduced competition into traditionally monopolistic markets, particularly telecommunications and electric utilities. This book brings together ten essays that were presented at the Center for Research in Regulated Industries at Rutgers University and funded by several regulated companies. The authors, who include young scholars as well as established and highly regarded consultants and researchers, address some of the major issues now facing network industries and regulators - deregulation, competition, stranded assets, diversification, pricing, and mergers and acquisitions..
出版日期Book 2005
关键词Monopol; competition; deregulation; diversification; regulation; strategy
版次1
doihttps://doi.org/10.1007/b100890
isbn_softcover978-1-4419-5405-3
isbn_ebook978-0-387-23196-9Series ISSN 2730-7468 Series E-ISSN 2730-7476
issn_series 2730-7468
copyrightSpringer-Verlag US 2005
The information of publication is updating

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Michel A. Crew (Editor),Michael A. Crew,Menahem SpOriginal essays address issues faced by network industries and regulators.Includes supplementary material:
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978-1-4419-5405-3Springer-Verlag US 2005
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Michael A. Crew,Paul R. Kleindorfer,John Sumpters. They quantify the amount of additional processing power that guarantees a decentralized system’s stability, both when the queues adapt their strategies from round to round using no-regret learning algorithms, and when they are patient and evaluate the utility of a strategy over long periods of ti
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David Salant a quantity . to upper bound the Price of Anarchy (PoA) for delay functions in class .. When . is the class of polynomial functions with highest degree ., our upper bound is ., which is significantly smaller than the worst-case PoA for general networks. Thus, restricting to symmetric games over seri
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