{"title":"Promoting continuous emissions monitoring systems to curb rent-seeking: Evolutionary game insights","authors":"Yang Wang , Dezhi Li , Yigang Wei , Wentao Wang","doi":"10.1016/j.eneco.2025.108639","DOIUrl":null,"url":null,"abstract":"<div><div>Rent-seeking behavior (RSB), particularly in the form of carbon data fraud, undermines the effectiveness and fairness of Monitoring, Reporting, and Verification (MRV), threatening the integrity of the Emissions Trading Scheme (ETS). Continuous Emissions Monitoring Systems (CEMS) provide a robust technical solution to combat this challenge. This study investigates optimal regulatory measures for promoting CEMS adoption and curbing RSB (PCaCR), thereby enhancing MRV reliability and ETS efficacy. A tripartite evolutionary game model was developed to simulate strategic interactions among thermal power enterprises (TPEs), third-party verifiers (3PVs), and the government. Evolutionarily stable strategies (ESS) were analyzed to reveal strategic determinants and underlying mechanisms affecting stakeholders' decision-making. Results show: (1) the optimal ESS scenario occurs when TPEs voluntarily adopt CEMS, 3PVs conduct impartial verifications, and the government enforces strict supervision; (2) initial strategy choices among TPEs, 3PVs, and the government significantly influence each other's evolutionary paths; (3) strategic factors demonstrate varying degrees of sensitivity in the evolution of PCaCR, indicating that pilot policies, standard refinement, information disclosure, and reward–penalty mechanisms effectively regulate stakeholders' behaviors. This study thus provides an evolutionary game framework to analyze decision-making dynamics around CEMS adoption in the presence of rent-seeking, offering insights for robust regulatory policymaking.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"148 ","pages":"Article 108639"},"PeriodicalIF":13.6000,"publicationDate":"2025-06-02","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/S0140988325004669","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
Rent-seeking behavior (RSB), particularly in the form of carbon data fraud, undermines the effectiveness and fairness of Monitoring, Reporting, and Verification (MRV), threatening the integrity of the Emissions Trading Scheme (ETS). Continuous Emissions Monitoring Systems (CEMS) provide a robust technical solution to combat this challenge. This study investigates optimal regulatory measures for promoting CEMS adoption and curbing RSB (PCaCR), thereby enhancing MRV reliability and ETS efficacy. A tripartite evolutionary game model was developed to simulate strategic interactions among thermal power enterprises (TPEs), third-party verifiers (3PVs), and the government. Evolutionarily stable strategies (ESS) were analyzed to reveal strategic determinants and underlying mechanisms affecting stakeholders' decision-making. Results show: (1) the optimal ESS scenario occurs when TPEs voluntarily adopt CEMS, 3PVs conduct impartial verifications, and the government enforces strict supervision; (2) initial strategy choices among TPEs, 3PVs, and the government significantly influence each other's evolutionary paths; (3) strategic factors demonstrate varying degrees of sensitivity in the evolution of PCaCR, indicating that pilot policies, standard refinement, information disclosure, and reward–penalty mechanisms effectively regulate stakeholders' behaviors. This study thus provides an evolutionary game framework to analyze decision-making dynamics around CEMS adoption in the presence of rent-seeking, offering insights for robust regulatory policymaking.
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.