通过排放交易管理污染风险

Gaurav Ghosh, J. Shortle
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引用次数: 80

摘要

我们比较了两个可交易许可市场在一些污染者具有随机、相关和不可测量排放的情况下,以最低成本实现安全第一环境目标的能力。在这两个市场中,点源许可证规定了观测到的(确定的)点源污染负荷的允许水平。不可观测和随机非点源污染的许可不能这样定义。一个市场根据预期的非点源污染制定非点源许可,并使用两种污染类型之间的交易比率来管理随机性。该模型遵循现有的点-非点水质交易市场。第二个模型将非点源许可定义为一个多属性商品,其中属性告知市场潜在污染负荷的随机性。证明了多属性许可市场优于交易比率市场。这一结果是污染者在前一个市场直接为随机性定价的产物,而在后一个市场则不然,后者的随机性只有在高度限制性的条件下才可控。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Managing Pollution Risk Through Emissions Trading
We compare two tradable permit markets in their ability to meet a safety first environmental target at least cost when some polluters have stochastic, correlated, and non-measurable emissions. In both markets, the point source permit defines the allowable level of the observed (deterministic) point source pollution load. The permit for unobservable and stochastic nonpoint source pollution cannot be defined in this way. One market bases the nonpoint permit on expected nonpoint pollution and uses a trading ratio between the two pollution types to manage stochasticity. This model follows existing point-nonpoint markets for water quality trading. The second model defines the nonpoint permit as a multi-attribute good, where the attributes inform the market about the stochasticity of the underlying pollution load. The multi-attribute permit market is demonstrated to out-perform the trading ratio market. This result is an artifact of polluters directly pricing stochasticity in the former market but not in the latter, where stochasticity is only controllable under highly restrictive conditions.
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