Article(id=1242141650194080497, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242141637418234049, articleNumber=null, orderNo=null, doi=10.3981/j.issn.1000-7857.2024.02.00238, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1704211200000, receivedDateStr=2024-01-03, revisedDate=1718812800000, revisedDateStr=2024-06-20, acceptedDate=null, acceptedDateStr=null, onlineDate=1730476800000, onlineDateStr=2024-11-02, pubDate=1728748800000, pubDateStr=2024-10-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1730476800000, onlineIssueDateStr=2024-11-02, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774079247279, creator=sys-migrate, updateTime=1774079247279, updator=sys-migrate, issue=Issue{id=1242141637418234049, tenantId=1146029695717560320, journalId=1146031591421210625, year='2024', volume='42', issue='19', pageStart='1', pageEnd='132', issueExtLink='null', onlineDate='null', pubDate='1728748800000', pubDateStr='2024-10-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=null, issueType=-1, specialIssue=null, createTime=1774079244233, creator='sys-migrate', updateTime=1774079244233, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=66, endPage=72, ext={EN=ArticleExt(id=1242141654300304148, articleId=1242141650194080497, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Expectation of green transformation of shipping industry in China under carbon peaking and carbon neutrality goals, columnId=1242141645181887193, journalTitle=Science & Technology Review, columnName=Exclusive: Climate Change and Low-carbon Development of Green Energy, runingTitle=null, highlight=null, articleAbstract=It is of great significance to look into the future of the green transformation of shipping industry under the carbon peaking and carbon neutrality goals, also known as the "dual-carbon" goals. This study introduces the strategic objective of the International Maritime Organization (IMO) for reducing greenhouse gases in the shipping industry, analyzes the cargo throughput and energy consumption of shipping industry in China and other Western Pacific ports, and examines the emissions of CO₂ and air pollutants such as SO₂ and NO_x from ships within the 12 nm territorial waters of China. It is found that shipping volumes in China and the Western Pacific region were steadily increasing, with a growth rate of China's shipping energy consumption reaching 5.8% in 2021. From 2018 to 2020, the ship emission of SO₂ decreased significantly with the implementation of China's Ship Emission Control Area Policy and IMO's Global Low Sulfur Fuel Policy, while NO_x and CO₂ emissions continued to increase with the growth of ship activities. Therefore, green transformation of China's shipping industry is significant for coordinated reduction of NO x and CO₂. Based on the current status of China's ship emissions and the background of the construction of international green shipping corridor, this paper concludes with an outlook on the future path of shipping industry's green transformation in China, hoping to provide a reference for strategies formulation for the green transformation of shipping industry in the context of the "dual-carbon" goals., authors=ZHANG Yan^1,2, QIAN Haoqi³, LI Quan⁴, authorsList=ZHANG Yan, QIAN Haoqi, LI Quan, authorCompany=1. Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China;
2. Shanghai Institute for Energy and Carbon Neutrality Strategy, Fudan University, Shanghai 200433, China;
3. Institute for Global Public Policy, Fudan University, Shanghai 200433, China;
4. College of Navigation, Dalian Maritime University, Dalian 116086, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242141653713101581, articleId=1242141650194080497, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=“双碳”目标下中国航运业绿色转型展望, columnId=1242141644535964369, journalTitle=科技导报, columnName=专题：气候变化与绿色能源低碳发展, runingTitle=null, highlight=null, articleAbstract=介绍了国际海事组织（IMO）对航运业减少温室气体的战略目标，结合近年来航运数据分析了中国和其他环西太平洋港口货物吞吐量、航运业能源消耗情况，以及中国12海里水域SO₂、NO_x等船舶大气污染物和温室气体CO₂排放量。研究发现，中国及环西太平洋地区的航运量稳中有升，2021年中国船运能源消耗增长率达5.8%。2018—2020年，随着中国船舶排放控制区政策和IMO全球低硫燃油政策的实施，船舶排放的SO₂减排显著，然而随着船舶活动量的增长，NO_x和CO₂排放量仍在持续增长，因此中国航运业的绿色转型对NO_x和CO₂的协同减排意义重大。基于中国航运业的排放现状及国际绿色航运走廊的建设背景，展望了中国航运业未来绿色转型路径。, authors=张艳^1,2, 钱浩祺³, 黎泉⁴, authorsList=张艳, 钱浩祺, 黎泉, authorCompany=1. 复旦大学环境科学与工程系, 上海 200433;
2. 上海市能源与碳中和战略研究院, 上海 200433;
3. 复旦大学全球公共政策研究院, 上海 200433;
4. 大连海事大学航海学院, 大连 116086, correspAuthors=null, authorNote=张艳,教授,研究方向为海岸带大气环境和气候变化,电子信箱:yan_zhang@fudan.edu.cn, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=i8mzAtYZUgGNS7VwwYukAg==, pdfFileSize=1984913, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=国家自然科学基金面上项目(42077195))}, authors=null, keywords=[Keyword(id=1242141652756800255, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242141650194080497, language=CN, orderNo=1, keyword=碳达峰碳中和), Keyword(id=1242141652874240769, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242141650194080497, language=CN, orderNo=1, keyword=航运业), Keyword(id=1242141652949738243, tenantId=1146029695717560320, 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