Article(id=1288943051473265358, tenantId=1146029695717560320, journalId=1149652312894775300, issueId=1288943039720829345, articleNumber=null, orderNo=null, doi=10.19293/j.cnki.1673-8357.2025.06.005, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1748707200000, receivedDateStr=2025-06-01, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1785237570874, onlineDateStr=2026-07-28, pubDate=1766160000000, pubDateStr=2025-12-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1785237570874, onlineIssueDateStr=2026-07-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1785237570874, creator=13701087609, updateTime=1785237570874, updator=13701087609, issue=Issue{id=1288943039720829345, tenantId=1146029695717560320, journalId=1149652312894775300, year='2025', volume='20', issue='6', pageStart='5', pageEnd='112', issueExtLink='null', onlineDate='null', pubDate='1766160000000', pubDateStr='2025-12-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1785237568073, creator='13701087609', updateTime=1785285666266, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1289144778239615643, tenantId=1146029695717560320, journalId=1149652312894775300, issueId=1288943039720829345, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1289144778239615644, tenantId=1146029695717560320, journalId=1149652312894775300, issueId=1288943039720829345, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=45, endPage=54, ext={EN=ArticleExt(id=1288943051712340687, articleId=1288943051473265358, tenantId=1146029695717560320, journalId=1149652312894775300, language=EN, title=Research on the Practices, Mechanisms, and Optimization Strategies of the Co-Evolution between Innovation of Science and Technology and Science Popularization: Based on the Empirical Analysis of 11 Prefecture-Level Cities in Zhejiang Province, columnId=1288943042174497187, journalTitle=Studies on Science Popularization, columnName=Special Issue, runingTitle=null, highlight=null, articleAbstract=

Scientific and technological innovation alongside public science education serve as the “dual engines” driving innovation-led development. As a pioneering region for high-quality development in China, Zhejiang Province has cultivated distinctive experiences in promoting the synergistic evolution of these two domains. This paper focuses on the core issue of how Zhejiang facilitates itscoordinated advancement and explores the underlying mechanisms. Employing empirical analysis combined with case studies, This paper utilize the entropy method and the coupling coordination model to quantitatively assess the coupling coordination degree across Zhejiang's 11 prefecture-level cities in 2023. Through integrating practical case studies from the province, The research identify the intrinsic mechanisms governing their synergistic evolution while revealing existing challenges: uneven resource allocation between innovation and popularization, low conversion efficiency, insufficient public engagement, and lagging evaluation mechanisms. Systematically summarizing these intrinsic mechanisms, This paper propose targeted improvement recommendations based on our findings, This includes four aspects: establishing a cross-regional resource coordination and compensation mechanism, establishing a collaborative transformation system for scientific research andsciencepopularization, cultivating a sciencepopularization ecosystem involving multiple entities, and improving dynamic evaluation and governance feedback mechanisms. offering transferable insights for other Chinese regions pursuing coordinated “dual-engine” development.

, authors=Qiuyang Gu1, Liangxi Guo1, Sijun Xie2, authorsList=Qiuyang Gu, Liangxi Guo, Sijun Xie, 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=1288943051972387536, articleId=1288943051473265358, tenantId=1146029695717560320, journalId=1149652312894775300, language=CN, title=科技创新和科学普及协同演进的实践机制与优化策略研究——基于浙江省11个地级市的实证分析, columnId=1288943042333880741, journalTitle=科普研究, columnName=专题, runingTitle=null, highlight=null, articleAbstract=

科技创新、科学普及是实现创新驱动发展的两翼。浙江省作为中国高质量发展先行区,在推动科技创新与科学普及协同演进过程中形成了独特经验。本研究运用熵值法和耦合协调模型量化分析浙江省11个地级市2023年的耦合协调度,总结出科技创新与科学普及协同演进的内在机制。研究发现,浙江省存在科创与科普资源分配不均、转化效率低、公众参与不足及评价机制滞后等问题。基于问题,本研究系统总结了二者协同演进的内在动因,并据此提出优化策略,包括构建跨区域资源统筹与补偿机制,建立科研与科普协同转化体系,培育多元主体参与的科普生态,完善动态评价与治理反馈机制4个方面。以期为推动科技创新与科学普及协同发展提供有益借鉴。

, authors=顾秋阳1, 郭亮玺1, 谢思君2, authorsList=顾秋阳, 郭亮玺, 谢思君, authorCompany=null, correspAuthors=null, authorNote=

顾秋阳,浙江省科技交流和人才服务中心助理研究员,研究方向:科技创新与科学普及,E-Mail:

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顾秋阳,浙江省科技交流和人才服务中心助理研究员,研究方向:科技创新与科学普及,E-Mail:

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顾秋阳,浙江省科技交流和人才服务中心助理研究员,研究方向:科技创新与科学普及,E-Mail:

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科技创新和科学普及协同演进的实践机制与优化策略研究——基于浙江省11个地级市的实证分析
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顾秋阳 1 , 郭亮玺 1 , 谢思君 2
科普研究 | 专题 2025,20(6): 45-54
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科普研究 |专题 2025 , 20 (6) : 45 -54
科技创新和科学普及协同演进的实践机制与优化策略研究——基于浙江省11个地级市的实证分析
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顾秋阳1 , 郭亮玺1, 谢思君2
作者信息
  • 1浙江省科技交流和人才服务中心,杭州 310000
  • 2兰州财经大学国际经济与贸易学院,兰州 730000
作者简介:

顾秋阳,浙江省科技交流和人才服务中心助理研究员,研究方向:科技创新与科学普及,E-Mail:

Research on the Practices, Mechanisms, and Optimization Strategies of the Co-Evolution between Innovation of Science and Technology and Science Popularization: Based on the Empirical Analysis of 11 Prefecture-Level Cities in Zhejiang Province
Qiuyang Gu1 , Liangxi Guo1, Sijun Xie2
Affiliations
  • 1Zhejiang Provincial Science and Technology Exchange and Talent Service Center, Hangzhou 310000
  • 2Lanzhou University of Finance and Economics, Lanzhou 730000
出版时间: 2025-12-20 doi: 10.19293/j.cnki.1673-8357.2025.06.005
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科技创新、科学普及是实现创新驱动发展的两翼。浙江省作为中国高质量发展先行区,在推动科技创新与科学普及协同演进过程中形成了独特经验。本研究运用熵值法和耦合协调模型量化分析浙江省11个地级市2023年的耦合协调度,总结出科技创新与科学普及协同演进的内在机制。研究发现,浙江省存在科创与科普资源分配不均、转化效率低、公众参与不足及评价机制滞后等问题。基于问题,本研究系统总结了二者协同演进的内在动因,并据此提出优化策略,包括构建跨区域资源统筹与补偿机制,建立科研与科普协同转化体系,培育多元主体参与的科普生态,完善动态评价与治理反馈机制4个方面。以期为推动科技创新与科学普及协同发展提供有益借鉴。

科技创新  /  科学普及  /  耦合协调度

Scientific and technological innovation alongside public science education serve as the “dual engines” driving innovation-led development. As a pioneering region for high-quality development in China, Zhejiang Province has cultivated distinctive experiences in promoting the synergistic evolution of these two domains. This paper focuses on the core issue of how Zhejiang facilitates itscoordinated advancement and explores the underlying mechanisms. Employing empirical analysis combined with case studies, This paper utilize the entropy method and the coupling coordination model to quantitatively assess the coupling coordination degree across Zhejiang's 11 prefecture-level cities in 2023. Through integrating practical case studies from the province, The research identify the intrinsic mechanisms governing their synergistic evolution while revealing existing challenges: uneven resource allocation between innovation and popularization, low conversion efficiency, insufficient public engagement, and lagging evaluation mechanisms. Systematically summarizing these intrinsic mechanisms, This paper propose targeted improvement recommendations based on our findings, This includes four aspects: establishing a cross-regional resource coordination and compensation mechanism, establishing a collaborative transformation system for scientific research andsciencepopularization, cultivating a sciencepopularization ecosystem involving multiple entities, and improving dynamic evaluation and governance feedback mechanisms. offering transferable insights for other Chinese regions pursuing coordinated “dual-engine” development.

innovation of science and technology  /  science popularization  /  coupling coordination model
顾秋阳, 郭亮玺, 谢思君. 科技创新和科学普及协同演进的实践机制与优化策略研究——基于浙江省11个地级市的实证分析. 科普研究, 2025 , 20 (6) : 45 -54 . DOI: 10.19293/j.cnki.1673-8357.2025.06.005
Qiuyang Gu, Liangxi Guo, Sijun Xie. Research on the Practices, Mechanisms, and Optimization Strategies of the Co-Evolution between Innovation of Science and Technology and Science Popularization: Based on the Empirical Analysis of 11 Prefecture-Level Cities in Zhejiang Province[J]. Studies on Science Popularization, 2025 , 20 (6) : 45 -54 . DOI: 10.19293/j.cnki.1673-8357.2025.06.005
  • 浙江省科技计划项目“浙江省科技创新和科学普及协同推进的机理与路径研究”(2025C35011)
  • 浙江省第五次全国经济普查课题“浙江省企业科技创新人才发展路径研究”(ZJWJP04)
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doi: 10.19293/j.cnki.1673-8357.2025.06.005
  • 接收时间:2025-06-01
  • 首发时间:2026-07-28
  • 出版时间:2025-12-20
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  • 收稿日期:2025-06-01
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浙江省科技计划项目“浙江省科技创新和科学普及协同推进的机理与路径研究”(2025C35011)
浙江省第五次全国经济普查课题“浙江省企业科技创新人才发展路径研究”(ZJWJP04)
作者信息
    1浙江省科技交流和人才服务中心,杭州 310000
    2兰州财经大学国际经济与贸易学院,兰州 730000
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2种不同金属材料的力学参数

Family
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Number of
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种数
Number of
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占总种数比例
Percentage of
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种数
Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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