Article(id=1281627157927542865, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281627156769903305, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2026.01.0759, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1757520000000, receivedDateStr=2025-09-11, revisedDate=1763740800000, revisedDateStr=2025-11-22, acceptedDate=null, acceptedDateStr=null, onlineDate=1783493325931, onlineDateStr=2026-07-08, pubDate=1769529600000, pubDateStr=2026-01-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783493325931, onlineIssueDateStr=2026-07-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783493325931, creator=13701087609, updateTime=1783493325931, updator=13701087609, issue=Issue{id=1281627156769903305, tenantId=1146029695717560320, journalId=1146031787341344770, year='2026', volume='36', issue='1', pageStart='1', pageEnd='280', issueExtLink='null', onlineDate='null', pubDate='1769529600000', pubDateStr='2026-01-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783493325654, creator='13701087609', updateTime=1783588714348, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282027246013624992, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281627156769903305, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282027246013624993, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281627156769903305, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=17, endPage=25, ext={EN=ArticleExt(id=1281627159533961298, articleId=1281627157927542865, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Research on central-local synergy in work safety policies from a complex network perspective, columnId=1277328386947150682, journalTitle=China Safety Science Journal, columnName=Safety Science Theories and Methods, runingTitle=null, highlight=null, articleAbstract=

To enhance China's work safety governance level, policy texts on work safety issued by the central government and 30 provincial-level governments from 2014 to 2023, as well as safety accident data from the same period, were used as the research sample. By integrating the Levenshtein distance algorithm, the Jaccard similarity algorithm, and other similarity measures, a "theme-content" two-stage policy synergy analysis model was proposed. Central-local policy synergy degree was quantitatively measured through a weighted evaluation of policy theme matching degree and content similarity. A complex synergy network was then constructed. Using social network analysis and modularity algorithms, the structural characteristics of the central-local safety policy synergy network were analyzed in depth, and its spatiotemporal evolution was revealed. Based on panel data, the impact of central-local synergy outcomes of safety policies on accident incidence were further investigated. The results show that China's central-local safety policy synergy network is exhibiting an increasingly integrated development trend over time. The responsiveness of provincial governments to central policies is continuously improving, evolving from early regional differentiation toward comprehensive nationwide coordination, and an initial "central planning-local response" national work safety policy system has been initially established. Moreover, the central-local policy synergy degree is significantly negatively correlated with the frequency of safety accidents, and improving the level of coordination can effectively reduce the risk of work safety accidents.

, authors=Cheng JIANG, Yiling XU, Xinyu ZHAO, Luyao WANG^**, authorsList=Cheng JIANG, Yiling XU, Xinyu ZHAO, Luyao WANG, authorCompany=null, correspAuthors=Luyao WANG, 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=1281627160112775253, articleId=1281627157927542865, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=复杂网络视角下我国安全生产政策的央地协同研究, columnId=1277328387270112092, journalTitle=中国安全科学学报, columnName=安全科学理论与方法, runingTitle=null, highlight=null, articleAbstract=

为提高我国安全生产治理水平，以2014—2023年中央及30个省级安全生产政策文本与同期安全生产事故数据为样本，融合Levenshtein距离算法、Jaccard等多种相似度算法，提出“主题-内容”双阶段政策协同度分析模型，从政策文件主题匹配度、内容相似度2方面加权量化央地政策协同度，进而构建复杂协同网络。借助社会网络分析方法和模块化算法，深入剖析央地安全政策协同网络特征，揭示其时空演变特征；基于面板数据，探究我国安全政策央地协同效果对事故发生率的影响。结果表明：我国央地安全政策协同网络随时间推移呈现一体化发展态势，省级政府对中央政策的响应度持续上升，从早期区域分化逐步走向全域协同，“中央统筹-地方响应”的国家安全生产政策体系初步建成；且央地政策协同度与安全事故频次呈显著负相关，提升协同度能有效降低安全生产事故发生频次与风险。

, authors=江成教授, 徐溢苓, 赵馨雨, 王璐瑶^**, authorsList=江成教授, 徐溢苓, 赵馨雨, 王璐瑶, authorCompany=null, correspAuthors=王璐瑶, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=EkNEnUOkWDgdEGAe/fVaCw==, magXml=SyjAM4CMe5NgjqR2W2+n5g==, pdfUrl=null, pdf=qZJ6A2Jj/A2FND4jzJhI0A==, pdfFileSize=3165233, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=YXM57CcNXUo/gkf9uez3YA==, mapNumber=null, fund=null)}, authors=[Author(id=1281627160486068314, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281627157927542865, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=jiangcheng@cueb.edu.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1281627160574148700, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281627157927542865, authorId=1281627160486068314, language=EN, stringName=Cheng JIANG, firstName=Cheng, middleName=null, lastName=JIANG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=School of Management and Engineering, Capital University of Economics and Business, Beijing 100070, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1281627160637063261, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281627157927542865, authorId=1281627160486068314, language=CN, stringName=江成教授, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=首都经济贸易大学 管理工程学院，北京 100070, bio={"content":"

江成（1986—），男，吉林德惠人，博士，教授，博士生导师，主要从事经济社会复杂系统建模、应急管理等方面的研究。E-mail: jiangcheng@cueb.edu.cn。

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江成（1986—），男，吉林德惠人，博士，教授，博士生导师，主要从事经济社会复杂系统建模、应急管理等方面的研究。E-mail: jiangcheng@cueb.edu.cn。

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