Article(id=1321866349245218853, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321866297609146910, 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=1748793600000, receivedDateStr=2025-06-02, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793087096749, onlineDateStr=2026-10-27, pubDate=1779638400000, pubDateStr=2026-05-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793087096749, onlineIssueDateStr=2026-10-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793087096749, creator=13701087609, updateTime=1793087096749, updator=13701087609, issue=Issue{id=1321866297609146910, tenantId=1146029695717560320, journalId=1225396423026438145, year='2026', volume='46', issue='5', pageStart='1', pageEnd='312', issueExtLink='null', onlineDate='null', pubDate='1779638400000', pubDateStr='2026-05-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793087084438, creator='13701087609', updateTime=1793094562481, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1321897662853533805, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321866297609146910, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1321897662853533806, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321866297609146910, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=295, endPage=304, ext={EN=ArticleExt(id=1321866349446545446, articleId=1321866349245218853, tenantId=1146029695717560320, journalId=1225396423026438145, language=EN, title=The Construction of Green Mining Cluster in Ecologically Fragile Areas Based on the Ecological-Technical-Economic Synergy Path, columnId=null, journalTitle=Mining Research and Development, columnName=null, runingTitle=null, highlight=null, articleAbstract=
Based on the ecological-technical-economic synergy path, the super-efficiency SBM model combined with the GML index method was used to accurately measure the green total factor productivity in Xinjiang, and systematically evaluate the green development level of Xinjiang mining industry cluster. The results show that the green total factor productivity of mining industry in Xinjiang is lower than the national average, and the lack of technological innovation ability is an important factor restricting the development of mining industry in the region. Through the method of location entropy, the degree of industrial agglomeration of mineral resources in Xinjiang is quantitatively analyzed, and finds that it presents the characteristics of "high agglomeration, low green and weak chain", and there is a phenomenon of "virtual fat" in the cluster. With the help of vector autoregressive model, the dynamic relationship between industrial agglomeration degree, green development level and regional economic growth is empirically analyzed. Among them, the green development level has a significant impact on the agglomeration degree of mining clusters. The synergy effect of green development level and industrial agglomeration degree is the core driving force of sustainable economic development, forming a positive feedback mechanism of "green technology-industrial agglomeration-economic efficiency". Based on this, it is proposed to build a "four-in-one" green development system with "ecological value-added, technological empowerment, network synergy and structural optimization" as the core, so as to provide practical countermeasures for the green and high-quality development of mining clusters in ecologically fragile areas.
, authors=Yuan Zhong
1, Zhigang Gao
2, Fengyun Gong
1, Wulan Tuoya
3, authorsList=Yuan Zhong, Zhigang Gao, Fengyun Gong, Wulan Tuoya, authorCompany=null, 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=1321866349777895464, articleId=1321866349245218853, tenantId=1146029695717560320, journalId=1225396423026438145, language=CN, title=基于生态技术经济协同路径的生态脆弱地区绿色矿业集群建设, columnId=1321866349543014439, journalTitle=矿业研究与开发, columnName=矿业前沿交叉与综合, runingTitle=null, highlight=null, articleAbstract=
基于生态-技术-经济协同路径,运用超效率SBM模型结合GML指数方法,对新疆矿业绿色全要素生产率进行精准测算,系统评估新疆矿业产业集群的绿色发展水平。结果表明:新疆矿业绿色全要素生产率低于全国平均水平,技术创新能力不足是制约该地区矿业发展的重要因素;通过区位熵方法量化分析了新疆矿产资源产业集聚程度,发现其呈现“高集聚、低绿色、弱链条”特征,存在集群“虚胖”现象;借助向量自回归模型实证分析了产业集聚程度、绿色发展水平与区域经济增长之间的动态关系,其中绿色发展水平对矿业集群聚集程度影响显著,绿色发展水平与产业集聚程度的协同效应是经济可持续发展的核心动力,形成了“绿色技术-产业集聚-经济增效”的正反馈机制。基于此,提出需构建以“生态增值、技术赋能、网络协同、结构优化”为核心的“四位一体”绿色发展体系,为生态脆弱地区矿业集群绿色高质量发展提供切实可行的对策措施。
, authors=钟媛
1, 高志刚
2, 龚风云
1, 乌兰托娅
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钟媛(1988—),女,四川内江人,硕士,讲师,主要从事资源环境审计及能源矿产业集群绿色发展研究。E-mail: 470155470@qq.com
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钟媛(1988—),女,四川内江人,硕士,讲师,主要从事资源环境审计及能源矿产业集群绿色发展研究。E-mail: 470155470@qq.com
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