{"title":"A strategic trading model under rate-based emissions trading schemes: Market power, driving factors, and a comparison with mass-based schemes","authors":"Wenxin Geng , Ying Fan , Haoran Li , Xing Yao","doi":"10.1016/j.eneco.2025.108665","DOIUrl":null,"url":null,"abstract":"<div><div>Some evidence has shown the presence of strategic permit trading, which can reduce the cost-effectiveness of emissions trading schemes (ETSs). In contrast to most strategic trading models that focus on mass-based schemes and assume the existence of price-taking firms, in this study, we develop a two-stage model under a rate-based scheme where all firms are allowed to trade permits strategically by employing the supply function approach. We identify a unique refined equilibrium in permit trading and examine firms’ strategic behavior and the factors influencing market power. We find that both a flatter marginal production cost curve and a larger gap between firms’ emission intensities and the emission benchmark tend to strengthen market power. A similar impact is observed for permit sellers when marginal abatement costs are flatter, whereas the effect for buyers depends on a trade-off between the impact on permit purchases and the slope of the residual permit supply curve. We also conduct numerical simulations of China’s nationwide ETS. The results reveal that the effect of market power on production differs significantly between rate- and mass-based schemes. Additionally, rate-based schemes strengthen sellers’ market power relative to mass-based schemes. Finally, policy implications are proposed to prevent market power.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"148 ","pages":"Article 108665"},"PeriodicalIF":14.2000,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S014098832500492X","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
Some evidence has shown the presence of strategic permit trading, which can reduce the cost-effectiveness of emissions trading schemes (ETSs). In contrast to most strategic trading models that focus on mass-based schemes and assume the existence of price-taking firms, in this study, we develop a two-stage model under a rate-based scheme where all firms are allowed to trade permits strategically by employing the supply function approach. We identify a unique refined equilibrium in permit trading and examine firms’ strategic behavior and the factors influencing market power. We find that both a flatter marginal production cost curve and a larger gap between firms’ emission intensities and the emission benchmark tend to strengthen market power. A similar impact is observed for permit sellers when marginal abatement costs are flatter, whereas the effect for buyers depends on a trade-off between the impact on permit purchases and the slope of the residual permit supply curve. We also conduct numerical simulations of China’s nationwide ETS. The results reveal that the effect of market power on production differs significantly between rate- and mass-based schemes. Additionally, rate-based schemes strengthen sellers’ market power relative to mass-based schemes. Finally, policy implications are proposed to prevent market power.
期刊介绍:
Energy Economics is a field journal that focuses on energy economics and energy finance. It covers various themes including the exploitation, conversion, and use of energy, markets for energy commodities and derivatives, regulation and taxation, forecasting, environment and climate, international trade, development, and monetary policy. The journal welcomes contributions that utilize diverse methods such as experiments, surveys, econometrics, decomposition, simulation models, equilibrium models, optimization models, and analytical models. It publishes a combination of papers employing different methods to explore a wide range of topics. The journal's replication policy encourages the submission of replication studies, wherein researchers reproduce and extend the key results of original studies while explaining any differences. Energy Economics is indexed and abstracted in several databases including Environmental Abstracts, Fuel and Energy Abstracts, Social Sciences Citation Index, GEOBASE, Social & Behavioral Sciences, Journal of Economic Literature, INSPEC, and more.