G2TT
来源类型Working papers
规范类型论文
DOI10.3929/ethz-a-006660192
Optimal monitoring of credit-based emissions trading under asymmetric information
MacKenzie, Ian A.; Ohndorf, Markus
发表日期2011-10
出版者ETH Zurich, Center of Economic Research (CER-ETH)
出版年2011
语种英语
摘要Project-based emissions trading schemes, like the Clean Development Mechanism, are particularly prone to problems of asymmetric information between project parties and the regulator. In this paper, we extend the general framework on incomplete enforcement of policy instruments to reflect the particularities of credit-based mechanisms. The main focus of the analysis is to determine the regulator’s optimal spot-check frequency given plausible assumptions of incomplete enforcement under asymmetric information on reduction costs and heterogeneous verifiability of projects. We find that, depending on the actual abatement cost and penalty schemes, optimal monitoring for credit-based systems is often discontinuous and significantly differs from the one to be applied for cap-andtrade schemes or environmental taxes. We conclude that, in a real-world context, project admission should ultimately be based on the criterion of verifiability.
主题Environmental regulation ; Audits and compliance ; Project-based emissions trading systems
URLhttps://www.research-collection.ethz.ch/handle/20.500.11850/40237
来源智库Centre for Energy Policy and Economics (Switzerland)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/266693
推荐引用方式
GB/T 7714
MacKenzie, Ian A.,Ohndorf, Markus. Optimal monitoring of credit-based emissions trading under asymmetric information. 2011.
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