Article(id=1314917580524057318, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314917454552327005, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1733587200000, receivedDateStr=2024-12-08, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791430381184, onlineDateStr=2026-10-08, pubDate=1752940800000, pubDateStr=2025-07-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791430381184, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791430381184, creator=13701087609, updateTime=1791430381184, updator=13701087609, issue=Issue{id=1314917454552327005, tenantId=1146029695717560320, journalId=1234093305789726721, year='2025', volume='45', issue='7', pageStart='3553', pageEnd='4144', issueExtLink='null', onlineDate='null', pubDate='1752940800000', pubDateStr='2025-07-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791430351150, creator='13701087609', updateTime=1791431931754, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314924084186669335, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314917454552327005, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314924084186669336, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314917454552327005, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=4091, endPage=4106, ext={EN=ArticleExt(id=1314917580788298471, articleId=1314917580524057318, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=Net carbon sequestration of rice production in China and its coupling with rice output value from 2000 to 2021, columnId=1234106390126588740, journalTitle=China Environmental Science, columnName=Carbon Emission Control, runingTitle=null, highlight=null, articleAbstract=
Develop a net carbon sequestration accounting model for rice production and estimate the net carbon sequestration across 30 provinces in China from 2000 to 2021. Building on an understanding of its spatiotemporal dynamics, the study employs the coupling coordination model and the Tapio decoupling model to assess the degree of coupling coordination and the evolution of the coupling state between net carbon sequestration and rice output value. The results are as follows: (1) Overall, net carbon sequestration in China's rice production demonstrates a fluctuating upward trend, increased from 6634.50×104t in 2000 to 7990.81×104t in 2021. with notable spatial heterogeneity—higher values in the eastern regions and lower values in the west. The centroid of net carbon sequestration has shifted from the southwest to the northeast. (2) While there is spatial correlation in net carbon sequestration, the spatial agglomeration effect has diminished over time. The global Moran's I index shows a two-phase pattern, characterized by a "steady decline followed by stable fluctuations," with 2010 marking the transition point. (3) The coupling coordination degree between net carbon sequestration in rice production and rice output value across the 30 provinces follows a "decline followed by increase" trend. (4) In most years, the coupling relationship between net carbon sequestration and rice output value is generally favorable, with a gradual improvement in coupling effects. However, significant variability in the coupling status exists across different rice production regions and provinces.
, authors=Rong-ji ZHOU
1, Shen-yue XU
2, *, authorsList=Rong-ji ZHOU, Shen-yue XU, authorCompany=null, correspAuthors=Shen-yue XU, 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=1314917581094482664, articleId=1314917580524057318, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=2000~2021年中国水稻生产的净碳汇及其与水稻产值的耦合, columnId=1234106391661704058, journalTitle=中国环境科学, columnName=碳排放控制, runingTitle=null, highlight=null, articleAbstract=
通过构建水稻生产净碳汇核算模型,对2000~2021年全国30个省份水稻生产净碳汇进行测算;在厘清其时空演变规律的基础上,运用耦合协调度模型和Tapio脱钩模型,探究水稻生产净碳汇与水稻产值之间的耦合协调度及耦合状态变化特征.结果表明:中国水稻生产净碳汇总体呈波动上升趋势,净碳汇量从2000年的6634.50×104t增加到2021年的7990.81×104t.空间分布呈现显著异质性,表现为东部高、西部低的特征,且净碳汇重心由西南向东北迁移.水稻生产净碳汇量存在一定的空间关联性,但空间集聚效应趋于减弱.全局莫兰指数以2010年为界,呈现持续下降—波动平缓两阶段变化特征.全国30个省份水稻生产净碳汇和水稻产值的整体耦合协调度经历先下降,后上升的趋势.全国范围内大部分年份水稻生产净碳汇与水稻产值之间以有利耦合为主,且耦合效果逐渐向好;不同稻作区与不同省份之间耦合状态差距较大.
, authors=周镕基
1, 徐沈玥
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周镕基(1978-),男,汉族,湖南永州人,教授,博士,主要从事环境经济学研究.发表论文100余篇.zhourongji@hynu.edu.cn.
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周镕基(1978-),男,汉族,湖南永州人,教授,博士,主要从事环境经济学研究.发表论文100余篇.zhourongji@hynu.edu.cn.
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