The Welfare Implications of Carbon Price Certainty

IF 3.1 3区 经济学 Q1 ECONOMICS
Joseph E. Aldy, Sarah Armitage
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引用次数: 4

Abstract

Experiences in real-world pollution markets suggest that firms make persistent errors in forecasting allowance and credit prices that inform their investment decisions. The residual uncertainty characterizing allowance and credit trading means that pollution markets may fail to deliver cost-effective abatement. This contrasts with price-based policies under which firms make investments that equate marginal abatement cost to an emission tax. We incorporate the additional cost of forecast errors under quantity-based programs into a standard Weitzman-style prices versus quantities framework. We distinguish between individual firms’ uncertainty over competitors’ private information and systemic uncertainty over future cost shocks. We show that a welfare-maximizing regulator would favor price instruments in response to the prospect of firm-specific forecast errors under quantity instruments, ceteris paribus, and the relative benefit of price instruments increases with forecast error variance. We discuss the role of policy design, such as incorporating price collars, in mitigating cost inefficiencies from price forecast errors.
碳价格确定性对福利的影响
现实世界污染市场的经验表明,企业在预测补贴和信贷价格时会犯下持续的错误,从而为其投资决策提供信息。津贴和信贷交易的剩余不确定性意味着污染市场可能无法实现成本效益高的减排。这与基于价格的政策形成了鲜明对比,在该政策下,企业进行的投资将边际减排成本等同于排放税。我们将基于数量的计划下预测误差的额外成本纳入标准的魏茨曼式价格与数量框架中。我们区分了单个公司对竞争对手私人信息的不确定性和对未来成本冲击的系统性不确定性。我们表明,在数量工具等条件下,福利最大化监管机构会倾向于价格工具,以应对企业特定预测误差的前景,并且价格工具的相对收益随着预测误差的方差而增加。我们讨论了政策设计的作用,例如纳入价格项圈,以减轻价格预测错误造成的成本效率低下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.60
自引率
2.80%
发文量
55
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