不确定性下基于产出和属性的碳调控

Ryan P. Kellogg
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引用次数: 7

摘要

以产出为基础的碳排放法规——比如燃料经济标准和清洁能源计划中的基于费率的标准——创造了众所周知的激励机制,以低效地增加产出。基于属性的规则也会造成类似的扭曲。本文证明,尽管存在这些扭曲,但考虑到产出(或属性)需求的不确定性,假设局部边际损害恒定,基于产出和属性的标准总能产生比“平坦”排放标准严格更高的预期福利。对于燃油经济性标准,相对于目前的政策,属性或里程基础的福利最大化的数量可能较小。然而,对于电力行业来说,强度标准可能比单一标准产生更大的预期福利。
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Output and Attribute-Based Carbon Regulation Under Uncertainty
Abstract Output-based carbon regulations—such as fuel economy standards and the rate-based standards in the Clean Power Plan—create well-known incentives to inefficiently increase output. Similar distortions are created by attribute-based regulations. This paper demonstrates that, despite these distortions, output and attribute-based standards can always yield strictly greater expected welfare than “flat” emission standards given uncertainty in demand for output (or attributes), assuming locally constant marginal damages. For fuel economy standards, the welfare-maximizing amount of attribute or mileage-basing is likely small relative to current policy. For the electricity sector, however, an intensity standard may yield greater expected welfare than a flat standard.
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