{"title":"排放量交易系统的多期模型","authors":"Ricarda Rosemann, Jörn Sass","doi":"10.1002/asmb.2867","DOIUrl":null,"url":null,"abstract":"<p>Emissions trading systems (ETS) constitute a widely used tool to control greenhouse gas emissions and thus are vital to the global efforts to mitigate climate change. As most ETS' are divided into separate phases, this raises the policy question whether emissions allowances can be banked, that is, transferred to subsequent phases for later use. We provide a continuous-time stochastic ETS model in a multiperiod setting that can allow for banking across phases. In particular, we are able to represent the influence of emissions development on the value of banked allowances. We introduce two distinct approaches to the multiperiod model: A basic approach delivers a model that is analytically more tractable and computationally less costly, while our more complex two-dimensional approach entails a more realistic representation of the system. Numerical results show that banking decreases the mean emissions and increases allowance prices; at the same time, it increases the probability of complying with the emissions cap. In combination with the current penalty of the EU ETS at 100 Euro per ton, banking essentially guarantees compliance. We therefore conclude that banking is a crucial policy choice to improve the effectiveness and the reliability of an ETS.</p>","PeriodicalId":55495,"journal":{"name":"Applied Stochastic Models in Business and Industry","volume":"40 6","pages":"1498-1543"},"PeriodicalIF":1.3000,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asmb.2867","citationCount":"0","resultStr":"{\"title\":\"A multiperiod model of an emissions trading system\",\"authors\":\"Ricarda Rosemann, Jörn Sass\",\"doi\":\"10.1002/asmb.2867\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Emissions trading systems (ETS) constitute a widely used tool to control greenhouse gas emissions and thus are vital to the global efforts to mitigate climate change. As most ETS' are divided into separate phases, this raises the policy question whether emissions allowances can be banked, that is, transferred to subsequent phases for later use. We provide a continuous-time stochastic ETS model in a multiperiod setting that can allow for banking across phases. In particular, we are able to represent the influence of emissions development on the value of banked allowances. We introduce two distinct approaches to the multiperiod model: A basic approach delivers a model that is analytically more tractable and computationally less costly, while our more complex two-dimensional approach entails a more realistic representation of the system. Numerical results show that banking decreases the mean emissions and increases allowance prices; at the same time, it increases the probability of complying with the emissions cap. In combination with the current penalty of the EU ETS at 100 Euro per ton, banking essentially guarantees compliance. We therefore conclude that banking is a crucial policy choice to improve the effectiveness and the reliability of an ETS.</p>\",\"PeriodicalId\":55495,\"journal\":{\"name\":\"Applied Stochastic Models in Business and Industry\",\"volume\":\"40 6\",\"pages\":\"1498-1543\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2024-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asmb.2867\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Stochastic Models in Business and Industry\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/asmb.2867\",\"RegionNum\":4,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Stochastic Models in Business and Industry","FirstCategoryId":"100","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/asmb.2867","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
A multiperiod model of an emissions trading system
Emissions trading systems (ETS) constitute a widely used tool to control greenhouse gas emissions and thus are vital to the global efforts to mitigate climate change. As most ETS' are divided into separate phases, this raises the policy question whether emissions allowances can be banked, that is, transferred to subsequent phases for later use. We provide a continuous-time stochastic ETS model in a multiperiod setting that can allow for banking across phases. In particular, we are able to represent the influence of emissions development on the value of banked allowances. We introduce two distinct approaches to the multiperiod model: A basic approach delivers a model that is analytically more tractable and computationally less costly, while our more complex two-dimensional approach entails a more realistic representation of the system. Numerical results show that banking decreases the mean emissions and increases allowance prices; at the same time, it increases the probability of complying with the emissions cap. In combination with the current penalty of the EU ETS at 100 Euro per ton, banking essentially guarantees compliance. We therefore conclude that banking is a crucial policy choice to improve the effectiveness and the reliability of an ETS.
期刊介绍:
ASMBI - Applied Stochastic Models in Business and Industry (formerly Applied Stochastic Models and Data Analysis) was first published in 1985, publishing contributions in the interface between stochastic modelling, data analysis and their applications in business, finance, insurance, management and production. In 2007 ASMBI became the official journal of the International Society for Business and Industrial Statistics (www.isbis.org). The main objective is to publish papers, both technical and practical, presenting new results which solve real-life problems or have great potential in doing so. Mathematical rigour, innovative stochastic modelling and sound applications are the key ingredients of papers to be published, after a very selective review process.
The journal is very open to new ideas, like Data Science and Big Data stemming from problems in business and industry or uncertainty quantification in engineering, as well as more traditional ones, like reliability, quality control, design of experiments, managerial processes, supply chains and inventories, insurance, econometrics, financial modelling (provided the papers are related to real problems). The journal is interested also in papers addressing the effects of business and industrial decisions on the environment, healthcare, social life. State-of-the art computational methods are very welcome as well, when combined with sound applications and innovative models.