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arXiv 1503.02479cs.GTcs.SYecon.GNeess.SYmath.OCq-fin.EC
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寡头竞争与不确定性下的联盟效率

Competition and Efficiency of Coalitions in Cournot Games with Uncertainty

University of Washington(华盛顿大学);Stanford University(斯坦福大学)

Baosen Zhang, Ramesh Johari, Ram Rajagopal

AI总结:

本文研究了在存在不确定性的情况下,联盟形成对Cournot博弈效率的影响,指出通过多样性形成特定规模的联盟可提升效率,同时分析了市场力量与不确定性降低之间的权衡。

摘要:

本文研究了在存在不确定性的情况下,联盟形成对Cournot博弈效率的影响,指出通过多样性形成特定规模的联盟可提升效率,同时分析了市场力量与不确定性降低之间的权衡。

英文摘要:

We investigate the impact of coalition formation on the efficiency of Cournot games where producers face uncertainties. In particular, we study a market model where firms must determine their output before an uncertain production capacity is realized. In contrast to standard Cournot models, we show that the game is not efficient when there are many small firms. Instead, producers tend to act conservatively to hedge against their risks. We show that in the presence of uncertainty, the game becomes efficient when firms are allowed to take advantage of diversity to form groups of certain sizes. We characterize the tradeoff between market power and uncertainty reduction as a function of group size. In particular, we compare the welfare and output obtained with coalitional competition, with the same benchmarks when output is controlled by a single system operator. We show when there are $N$ firms present, competition between groups of size $Ω(\sqrt{N})$ results in equilibria that are socially optimal in terms of welfare and groups of size $Ω(N^{2/3})$ are socially optimal in terms of production. We also extend our results to the case of uncertain demand by establishing an equivalency between Cournot oligopoly and Cournot Oligopsony. We demonstrate our results with real data from electricity markets with significant wind power penetration.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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