{"title":"PLANT-LEVEL EVALUATION OF CHINA’S NATIONAL EMISSIONS TRADING SCHEME: BENCHMARK MATTERS","authors":"Rong Ma, Haoqi Qian","doi":"10.1142/s2010007822400097","DOIUrl":null,"url":null,"abstract":"China’s national emission trading scheme (ETS) started operating in 2021 after four years of preparation. In the initial stage of national ETS, benchmarking approach is one of the hottest topics that have gained sufficient attention. For the reason that benchmarks will greatly affect the permits allocation results and thus affect the effectiveness of the carbon market. This paper attempts to investigate the impacts of the benchmark designs of China’s ETS by using plant-level data. Main results show that the current lax benchmark standards adopted by the national ETS will lead to excess surplus of permits. The whole carbon market will achieve market clearance only when the benchmark standards are set as high as the top 2% efficiency levels. If the carbon price is 200[Formula: see text]yuan/ton, the annual trading volume will be 16.4 billion yuan and 13.2 billion yuan in extra will be spent on carbon offsetting for compliance. If the auction mechanism is introduced, the total market size will significantly increase. The auction revenue will exceed 300 billion yuan when 50% of permits are allocated through auction and will exceed 600 billion yuan when all permits are auctioned. These revenues can provide sufficient funds to accelerate China’s low-carbon transformation as well as improve social welfare.","PeriodicalId":45922,"journal":{"name":"Climate Change Economics","volume":"2 1","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2022-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Climate Change Economics","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1142/s2010007822400097","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 7
Abstract
China’s national emission trading scheme (ETS) started operating in 2021 after four years of preparation. In the initial stage of national ETS, benchmarking approach is one of the hottest topics that have gained sufficient attention. For the reason that benchmarks will greatly affect the permits allocation results and thus affect the effectiveness of the carbon market. This paper attempts to investigate the impacts of the benchmark designs of China’s ETS by using plant-level data. Main results show that the current lax benchmark standards adopted by the national ETS will lead to excess surplus of permits. The whole carbon market will achieve market clearance only when the benchmark standards are set as high as the top 2% efficiency levels. If the carbon price is 200[Formula: see text]yuan/ton, the annual trading volume will be 16.4 billion yuan and 13.2 billion yuan in extra will be spent on carbon offsetting for compliance. If the auction mechanism is introduced, the total market size will significantly increase. The auction revenue will exceed 300 billion yuan when 50% of permits are allocated through auction and will exceed 600 billion yuan when all permits are auctioned. These revenues can provide sufficient funds to accelerate China’s low-carbon transformation as well as improve social welfare.
期刊介绍:
Climate Change Economics (CCE) publishes theoretical and empirical papers devoted to analyses of mitigation, adaptation, impacts, and other issues related to the policy and management of greenhouse gases. CCE is specifically devoted to papers in economics although it is understood that authors may need to rely on other fields for important insights. The journal is interested in papers examining the issue at every scale from local to global and papers from around the world are encouraged. CCE is also interested in both original research and review papers and welcomes comments discussing previous articles.