{"title":"Research on carbon peak measurement and potential of China’s logistics industry","authors":"S. Han, Z. Zhou, J. Gui","doi":"10.1007/s13762-025-06543-w","DOIUrl":null,"url":null,"abstract":"<div><p>Since 2005, China has focused on reducing carbon emissions, yet China continue to rise annually. In 2020, China’s emissions reached 10,296.84 MtCO2e, the highest in the world, and China’s logistics industry ranked fifth in carbon emissions among all industries. Effective management of this sector is crucial for both national and global emission control. This study examines the relationship between China’s logistics industry and other sectors, predicting its carbon emission potential using network analysis, Bayesian networks, and Gray Wolf Optimization Support Vector Regression by input–output tables, sub-industry carbon emission data, and industry development data from 2007 to 2020. It found that the transportation equipment manufacturing industry has the strongest link to the logistics industry, with a relationship coefficient of 6.9, which is 0.2 higher than the second place (the logistics industry) and 5.1 higher than the third place (Other Industries). The study predicts the logistics industry’s carbon emissions will peak between 2035 and 2045 under under low and medium economic development scenarios respectively, taking longer time to reach the peak under the high economic development scenario.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"22 14","pages":"13999 - 14014"},"PeriodicalIF":3.4000,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Environmental Science and Technology","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s13762-025-06543-w","RegionNum":4,"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
Since 2005, China has focused on reducing carbon emissions, yet China continue to rise annually. In 2020, China’s emissions reached 10,296.84 MtCO2e, the highest in the world, and China’s logistics industry ranked fifth in carbon emissions among all industries. Effective management of this sector is crucial for both national and global emission control. This study examines the relationship between China’s logistics industry and other sectors, predicting its carbon emission potential using network analysis, Bayesian networks, and Gray Wolf Optimization Support Vector Regression by input–output tables, sub-industry carbon emission data, and industry development data from 2007 to 2020. It found that the transportation equipment manufacturing industry has the strongest link to the logistics industry, with a relationship coefficient of 6.9, which is 0.2 higher than the second place (the logistics industry) and 5.1 higher than the third place (Other Industries). The study predicts the logistics industry’s carbon emissions will peak between 2035 and 2045 under under low and medium economic development scenarios respectively, taking longer time to reach the peak under the high economic development scenario.
期刊介绍:
International Journal of Environmental Science and Technology (IJEST) is an international scholarly refereed research journal which aims to promote the theory and practice of environmental science and technology, innovation, engineering and management.
A broad outline of the journal''s scope includes: peer reviewed original research articles, case and technical reports, reviews and analyses papers, short communications and notes to the editor, in interdisciplinary information on the practice and status of research in environmental science and technology, both natural and man made.
The main aspects of research areas include, but are not exclusive to; environmental chemistry and biology, environments pollution control and abatement technology, transport and fate of pollutants in the environment, concentrations and dispersion of wastes in air, water, and soil, point and non-point sources pollution, heavy metals and organic compounds in the environment, atmospheric pollutants and trace gases, solid and hazardous waste management; soil biodegradation and bioremediation of contaminated sites; environmental impact assessment, industrial ecology, ecological and human risk assessment; improved energy management and auditing efficiency and environmental standards and criteria.