共同价值拍卖
古诺竞争
投标
微观经济学
边际价值
利润(经济学)
经济
竞赛(生物学)
功能(生物学)
价值(数学)
产业组织
市场支配力
业务
计算机科学
垄断
生态学
进化生物学
机器学习
生物
作者
Ravi Subramanian,Sudheer Gupta,Brian Talbot
标识
DOI:10.1111/j.1937-5956.2007.tb00294.x
摘要
We characterize the trade‐offs among firms' compliance strategies in a market‐based program where a regulator interested in controlling emissions from a given set of sources auctions off a fixed number of emissions permits. We model a three‐stage game in which firms invest in emissions abatement, participate in a share auction for permits, and produce output. We develop a methodology for a profit‐maximizing firm to derive its marginal value function for permits and translate this value function into an optimal bidding strategy in the auction. We analyze two end‐product market scenarios independent demands and Cournot competition. In both scenarios we find that changing the number of available permits influences abatement to a lesser extent in a dirty industry than in a cleaner one. In addition, abatement levels taper off with increasing industry dirtiness levels. In the presence of competition, firms in a relatively clean industry can, in fact, benefit from a reduction in the number of available permits. Our findings are robust to changes in certain modeling assumptions.
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