G2TT
来源类型FEEM working papers "Note di lavoro" series
规范类型论文
Auctioning vs. Grandfathering in Cap-and-Trade Systems with Market Power and Incomplete Information
Francisco Alvarez; Francisco J. André
发表日期2013
出处Climate Change and Sustainable Development
出版年2013
语种英语
摘要We compare auctioning and grandfathering as allocation mechanisms of emission permits when there is a secondary market with market power and the firms have private information. Based on real-life cases such as the EU ETS, we consider a multi-unit, multi-bid uniform auction, modelled as a Bayesian game of incomplete information. At the auction each firm anticipates his role in the secondary market, which affects the firms’ valuation of the permits (that are not common across firms) as well as their bidding strategies and it precludes the auction from generating a cost-effective allocation of permits, as it would occur in simpler auction models. Auctioning tends to be more cost-effective than grandfathering when the firms’ costs are asymmetric enough, especially if the follower has lower abatement costs than the leader and uncertainty about the marginal costs is large enough. If market power spills over the auction, the latter is always less cost-effective than grandfathering. One central policy implication is that the specific design of the auction turns out to be crucial for cost-effectiveness. The chances of the auction to outperform grandfathering require that the former is capable of diluting the market power that is present in the secondary market. *** Suggested citation: Alvarez, F., F. J. André, (2013), 'Auctioning vs. Grandfathering in Cap-and-Trade Systems with Market Power and Incomplete Information', Nota di Lavoro 98.2013, Milan, Italy: Fondazione Eni Enrico Mattei.
特色分类D44;Q58;L13
关键词Cap-and-Trade Systems Auctions Grandfathering Market Power Bayesian Games of Incomplete Information
URLhttps://www.feem.it/en/publications/feem-working-papers-note-di-lavoro-series/auctioning-vs-grandfathering-in-cap-and-trade-systems-with-market-power-and-incomplete-information/
来源智库Fondazione Eni Enrico Mattei (Italy)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/118125
推荐引用方式
GB/T 7714
Francisco Alvarez,Francisco J. André. Auctioning vs. Grandfathering in Cap-and-Trade Systems with Market Power and Incomplete Information. 2013.
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