Article(id=1314917668453446107, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314917567911788907, 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=1739462400000, receivedDateStr=2025-02-14, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791430402147, onlineDateStr=2026-10-08, pubDate=1758297600000, pubDateStr=2025-09-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791430402147, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791430402147, creator=13701087609, updateTime=1791430402147, updator=13701087609, issue=Issue{id=1314917567911788907, tenantId=1146029695717560320, journalId=1234093305789726721, year='2025', volume='45', issue='9', pageStart='4737', pageEnd='5328', issueExtLink='null', onlineDate='null', pubDate='1758297600000', pubDateStr='2025-09-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791430378177, creator='13701087609', updateTime=1791431890195, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314923910001418489, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314917567911788907, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314923910001418490, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314917567911788907, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=5287, endPage=5304, ext={EN=ArticleExt(id=1314917668642189788, articleId=1314917668453446107, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=Research on spatial-temporal evolution and driving factors of CPGE synergy of crop production in China, columnId=1234106390126588740, journalTitle=China Environmental Science, columnName=Carbon Emission Control, runingTitle=null, highlight=null, articleAbstract=

This article used the window EBM super-efficiency DEA model to calculate the synergistic level of carbon reduction, pollution reduction, green expansion and economic growth (CPGE) of crop production in China from 2009 to 2022, and identified the key driving factors and nonlinear response relationships of carbon reduction, pollution reduction, green expansion and economic growth synergy through the GBDT model. The results showed that: (1) During the inspection period, the overall synergy of CPGE of crop production in China showed an upward trend, rising from 0.67 in 2009 to 0.95 in 2022, with an average annual growth rate of 2.65%. Taking 2016 as the dividing point, the growth rate generally showed a "downward-upward" trend. (2) The regional differences in synergistic effects of CPGE of crop production in China were significant. In terms of temporal characteristics, the synergy between grain main production areas, grain main sales areas, and production and sales balance areas has been improved, with average annual growth rates of 2.85%, 3.68%, and 1.84%, respectively. In terms of spatial distribution, the pattern of synergistic effects has shifted from "high in the north and low in the south" to "high in the south and low in the north", gradually converging towards high-quality level, reducing regional differences, and ultimately presenting a spatial clustering feature of "cold in the east and hot in the west". (3) The key driving factors that affected synergistic effects included grain yield per hectare and agricultural mechanization level. Grain yield per hectare, individual technological level and urban-rural income gap factors had complex nonlinear characteristics. Technological innovation level factor had a significant promoting effect, while other factors had fluctuating negative impacts. From the perspective of time effects, grain yield per hectare has gradually become a core factor. From the perspective of regional effects, there were significant spatial differences in driving factors.

, authors=Li-chen TANG¹, Jie LI¹, Hui CHEN², Xian-gang ZENG^{1, *}, Mi CHEN^{3, *}, Jiang-yue TU¹, authorsList=Li-chen TANG, Jie LI, Hui CHEN, Xian-gang ZENG, Mi CHEN, Jiang-yue TU, authorCompany=null, correspAuthors=Xian-gang ZENG, Mi CHEN, 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=1314917669279723997, articleId=1314917668453446107, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=中国农作物生产降碳-减污-扩绿-增长协同的时空演变及驱动因素研究, columnId=1234106391661704058, journalTitle=中国环境科学, columnName=碳排放控制, runingTitle=null, highlight=null, articleAbstract=

采用窗口EBM超效率DEA模型测算2009~2022年全国农作物生产降碳-减污-扩绿-增长协同水平，并通过GBDT模型识别降碳-减污-扩绿-增长协同效应的关键驱动因素及其非线性响应关系．结果表明：（1）考察期内，全国农作物生产降碳-减污-扩绿-增长协同度整体呈现上升趋势，从2009年的0.67上升至2022年的0.95，年均增长率为2.65%，且以2016年为分界点，增长率大体呈“下降-上升”趋势．（2）全国农作物生产降碳-减污-扩绿-增长协同效应的区域差异性显著，时序特征上，粮食主产区、粮食主销区及产销平衡区的协同度均有所提升，年均增长率分别为2.85%、3.68%和1.84%；空间分布上，协同效应格局由“北高南低”转变为“南高北低”，并逐渐向优质水平聚拢，区域差异减弱，最终呈现“东冷西热”的空间聚集特征．（3）影响协同效应的关键驱动因素包括粮食单产、农业机械化水平等．粮食单产、个体技术水平和城乡收入差距因素具有复杂的非线性特征，科技创新水平因素有显著促进作用，其他因素呈波动负向影响．从时间效应看，粮食单产逐渐成为核心因素；从区域效应看，驱动因素存在明显的空间差异．

, authors=汤李琛¹, 李洁¹, 陈慧², 曾贤刚^{1, *}, 陈宓^{3, *}, 涂江月¹, authorsList=汤李琛, 李洁, 陈慧, 曾贤刚, 陈宓, 涂江月, authorCompany=null, correspAuthors=曾贤刚, 陈宓, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=tvMxPyXynqC0DIZLD810PA==, magXml=Nv9wZ0f4FOeZ69zueQjf/w==, pdfUrl=null, pdf=7Chrt+vP3AQeVG+hWf8E0w==, pdfFileSize=2148586, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=BejrYjI7CerAap9LUmndEw==, mapNumber=null, fund=null)}, authors=[Author(id=1314917957315167209, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917668453446107, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=tanglichen2352@163.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1314917957399053291, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917668453446107, authorId=1314917957315167209, language=EN, stringName=Li-chen TANG, firstName=Li-chen, middleName=null, lastName=TANG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.School of Ecology & Environment, Renmin University of China, Beijing 100872, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1314917957533271020, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917668453446107, authorId=1314917957315167209, language=CN, stringName=汤李琛, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.中国人民大学生态环境学院，北京 100872, bio={"content":"

汤李琛（1998-），男，湖南长沙人，中国人民大学博士研究生，主要从事环境经济与管理研究．发表论文7篇．tanglichen2352@163.com.

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汤李琛（1998-），男，湖南长沙人，中国人民大学博士研究生，主要从事环境经济与管理研究．发表论文7篇．tanglichen2352@163.com.

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