{"title":"Regional carbon emission reduction potential estimation based on scenario analysis under emission standards","authors":"Xuwei Xia, Zhibin Yan, Shuang Zhang, Dongge Zhu","doi":"10.1186/s13021-025-00326-z","DOIUrl":null,"url":null,"abstract":"<div><p>The estimation of carbon emission reduction potential in existing regions often faces the problem of missing data, so scenario analysis based estimation research is carried out. Under the constraints of emission standards, three emission limit scenarios are set: maintaining, ultra-low, and tightening. Based on the SBM model, a carbon emission reduction potential index model is constructed using the full factor carbon emission efficiency measurement method. Build a model that considers the impact of industrial output value and estimate carbon emission rights from 2018 to 2030. After analysis and calculation of allocation weights, experiments show that carbon emission performance is less than 0.05, efficiency is improved, weight is about 4.64%, and industrial carbon emissions contribute nearly zero.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"20 1","pages":""},"PeriodicalIF":5.8000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://cbmjournal.biomedcentral.com/counter/pdf/10.1186/s13021-025-00326-z","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Carbon Balance and Management","FirstCategoryId":"89","ListUrlMain":"https://link.springer.com/article/10.1186/s13021-025-00326-z","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
The estimation of carbon emission reduction potential in existing regions often faces the problem of missing data, so scenario analysis based estimation research is carried out. Under the constraints of emission standards, three emission limit scenarios are set: maintaining, ultra-low, and tightening. Based on the SBM model, a carbon emission reduction potential index model is constructed using the full factor carbon emission efficiency measurement method. Build a model that considers the impact of industrial output value and estimate carbon emission rights from 2018 to 2030. After analysis and calculation of allocation weights, experiments show that carbon emission performance is less than 0.05, efficiency is improved, weight is about 4.64%, and industrial carbon emissions contribute nearly zero.
期刊介绍：
Carbon Balance and Management is an open access, peer-reviewed online journal that encompasses all aspects of research aimed at developing a comprehensive policy relevant to the understanding of the global carbon cycle.
The global carbon cycle involves important couplings between climate, atmospheric CO2 and the terrestrial and oceanic biospheres. The current transformation of the carbon cycle due to changes in climate and atmospheric composition is widely recognized as potentially dangerous for the biosphere and for the well-being of humankind, and therefore monitoring, understanding and predicting the evolution of the carbon cycle in the context of the whole biosphere (both terrestrial and marine) is a challenge to the scientific community.
This demands interdisciplinary research and new approaches for studying geographical and temporal distributions of carbon pools and fluxes, control and feedback mechanisms of the carbon-climate system, points of intervention and windows of opportunity for managing the carbon-climate-human system.
Carbon Balance and Management is a medium for researchers in the field to convey the results of their research across disciplinary boundaries. Through this dissemination of research, the journal aims to support the work of the Intergovernmental Panel for Climate Change (IPCC) and to provide governmental and non-governmental organizations with instantaneous access to continually emerging knowledge, including paradigm shifts and consensual views.
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