Article(id=1317436307710788401, tenantId=1146029695717560320, journalId=1308397381743640680, issueId=1317436203545243877, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1748966400000, receivedDateStr=2025-06-04, revisedDate=1756224000000, revisedDateStr=2025-08-27, acceptedDate=null, acceptedDateStr=null, onlineDate=1792030892540, onlineDateStr=2026-10-15, pubDate=1786723200000, pubDateStr=2026-08-15, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1792030892540, onlineIssueDateStr=2026-10-15, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1792030892540, creator=13701087609, updateTime=1792030892540, updator=13701087609, issue=Issue{id=1317436203545243877, tenantId=1146029695717560320, journalId=1308397381743640680, year='2026', volume='44', issue='8', pageStart='1569', pageEnd='1792', issueExtLink='null', onlineDate='null', pubDate='1786723200000', pubDateStr='2026-08-15', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1792030867705, creator='13701087609', updateTime=1792031039088, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1317436922423792157, tenantId=1146029695717560320, journalId=1308397381743640680, issueId=1317436203545243877, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1317436922427986462, tenantId=1146029695717560320, journalId=1308397381743640680, issueId=1317436203545243877, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=1769, endPage=1782, ext={EN=ArticleExt(id=1317436307903726386, articleId=1317436307710788401, tenantId=1146029695717560320, journalId=1308397381743640680, language=EN, title=Research on pathways for enhancing the effectiveness of the science and technology talent policy system: From the perspective of "individual-organization" interaction, columnId=1309226375089840648, journalTitle=Studies in Science of Science, columnName=Frontiers and Opinions, runingTitle=null, highlight=null, articleAbstract=
The orderly operation of the science and technology (S&T) talent policy system constitutes a fundamental guarantee for the construction and governance of high-level talent hubs. However, the intrinsic interaction mechanisms among the constituent elements within this system remain inadequately explored and require further revelation. To address this gap, this study leverages panel data from the Mainland Chinese city cluster within the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) spanning the period 2007-2021. Employing an integrated methodological approach that combines dynamic fuzzy-set Qualitative Comparative Analysis (fsQCA) and BERTopic machine learning, the research investigates the synergistic effects of key factors—namely innovation motivation, innovation capability, innovation emotion, and institutional environment—on enhancing the level of orderly operation within the S&T talent system. This investigation is grounded in an "individual-organizational" interaction perspective and systematically explores these dynamics across both temporal and spatial dimensions.
The analysis yields several significant findings. Firstly, the orderly operation of the S&T talent policy system manifests through multiple pathways underpinned by complex mechanisms. Five distinct configurations were identified: a "motivation"-dominated synergy-driven type; an "emotion"-dominated regulation-driven type; a "motivation-emotion"-dominated synergy-driven type; a "motivation-capability"-dominated synergy-regulation-driven type; and a multi-factor synergy regulation-driven type. Crucially, within these five pathways, none of the individual or organizational factors alone constitutes a necessary condition for achieving a high degree of system orderliness. Instead, the research reveals the existence of equifinality—equivalent substitutability—between specific condition combinations. Notably, substitutable relationships exist between "motivation-driven" mechanisms and "regulatory intensity," between "emotion-driven" mechanisms and "interdepartmental coordination," and between the combination of "capability cultivation + interdepartmental coordination + regulatory intensity" and "emotion-driven" mechanisms. Among these, motivation-driven mechanisms consistently emerge as a core condition across multiple pathways, playing a pivotal role in achieving high system orderliness.Secondly, weak innovation motivation coupled with low regulatory intensity is identified as a primary constraint negatively impacting the orderly operation of the S&T talent policy system. Thirdly, the development trajectory of this system within the GBA's Mainland city cluster exhibits significant time effects, with 2013 and 2017 serving as critical inflection points. Heterogeneous pathways observed prior to these nodes consistently converged towards states characterized by high consistency and stability thereafter. Fourthly, distinct regions demonstrate differentiated realization pathways for achieving system orderliness, highlighting the significant influence of specific contextual conditions on the effective configuration of factors.
From a theoretical perspective, this research offers novel contributions. By adopting the "individual-organizational" interaction lens, it focuses on micro-level elements influencing S&T talents—specifically individual innovation motivation, capability, and emotion—thereby revealing the synergistic mechanisms operating between conditions at the individual and organizational levels. Furthermore, grounded in the theory of policy attention allocation, the study clarifies the equifinal relationships among key elements, systematically delineating both the core conditions and the substitutable pathways essential for realizing the orderly operation of the S&T talent policy system.From a pactical perspective, the findings provide actionable insights for policymakers. Decision-makers should prioritize "motivation-driven" mechanisms while also flexibly utilizing the identified equivalent substitutability relationships to optimize the allocation of policy attention. Crucially, capability cultivation is not a universally applicable key mechanism, its effectiveness is contingent upon regional economic, social, and cultural environmental factors. During policy design and implementation, policymakers must simultaneously address individual talent needs and organizational synergy mechanisms to ensure the policy system operates sustainably and efficiently.Consequently, the conclusions provide robust theoretical support and concrete policy recommendations aimed at enhancing the operational effectiveness and governance of S&T talent policy systems.
, authors=Sheng-hui LI, Si-jia CHENG, authorsList=Sheng-hui LI, Si-jia CHENG, authorCompany=null, correspAuthors=Si-jia CHENG, 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=1317436317894558631, articleId=1317436307710788401, tenantId=1146029695717560320, journalId=1308397381743640680, language=CN, title=科技人才政策系统的效能提升路径研究——基于“个体—组织”互动视角, columnId=1309226375303750154, journalTitle=科学学研究, columnName=前沿与观点, runingTitle=null, highlight=null, articleAbstract=
科技人才政策系统的有序运行是高水平人才高地建设和治理的重要保障,然而科技人才政策系统中各要素的内在互动机制尚有待揭示。本研究采用2007-2021年粤港澳大湾区内地城市群面板数据,运用动态模糊集定性比较分析和BERTopic机器学习相结合的方法,基于“个体—组织”互动视角,从时间和空间的双重维度探究创新动机、创新能力、创新情感和制度环境等要素,在提升科技人才系统运行有序度水平中的联动效应。研究发现:(1)科技人才政策系统有序运行存在多元路径和复杂机制,包括“动机”主导的协同驱动型、“情感”主导的规制驱动型、“动机—情感”主导的协同驱动型、“动机—能力”主导的协同规制驱动型和多元协同的规制驱动型五类;(2)创新动机弱和规制力度低是影响科技人才政策系统运行有序度的主要制约;(3)粤港澳大湾区内地城市群科技人才政策系统发展以2013年和2017年为时间节点,存在明显的时间效应;(4)不同区域在各自情境下呈现出系统有序运行的差异化实现路径。研究结论为提升科技人才政策系统运行效能提供了理论支持和政策建议。
, authors=李胜会, 程思佳, authorsList=李胜会, 程思佳, authorCompany=null, correspAuthors=程思佳, authorNote=
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李胜会(1978-),男,教授,博士。
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Regulations of Zhuhai special economic zone on promoting scientific and technological innovation[EB/OL]. https://www.zhrd.gov.cn/zhfg/202106/t20210602_58857779.html.2021-06-02., articleTitle=Regulations of Zhuhai special economic zone on promoting scientific and technological innovation, refAbstract=null)], funds=null, companyList=[AuthorCompany(id=1317436318142022568, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436307710788401, xref=null, ext=[AuthorCompanyExt(id=1317436318150411177, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436307710788401, companyId=1317436318142022568, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=School of Public Administration, South China University of Technology, Guangzhou 510641, China), AuthorCompanyExt(id=1317436318158799786, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436307710788401, companyId=1317436318142022568, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=华南理工大学公共管理学院, 广东广州 510641)])], figs=[ArticleFig(id=1317436319475811263, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436307710788401, language=EN, label=Figure 1, caption=
Theoretical framework, figureFileSmall=QMG7ab1yDN9AigULF4jF0g==, figureFileBig=EmunZV1pzXe2N7+erkXAyQ==, tableContent=null), ArticleFig(id=1317436319542920128, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436307710788401, language=CN, label=图1, caption=
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Deep learning model BERTopic topic modelling process, figureFileSmall=/0xBN5RQyl/14CTylA7lvw==, figureFileBig=WFXzpGHerI2E48XDl7OBeA==, tableContent=null), ArticleFig(id=1317436319836521410, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436307710788401, language=CN, label=图2, caption=
深度学习模型BERTopic主题建模过程, figureFileSmall=/0xBN5RQyl/14CTylA7lvw==, figureFileBig=WFXzpGHerI2E48XDl7OBeA==, tableContent=null), ArticleFig(id=1317436319899435971, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436307710788401, language=EN, label=Figure 3, caption=
Display of policy text topic clustering recognition results, figureFileSmall=0r6C8HCwDc8xhRbSlcSaMw==, figureFileBig=n3LTSol4G5G+VpDqP/YR+w==, tableContent=null), ArticleFig(id=1317436319970739140, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436307710788401, language=CN, label=图3, caption=
政策文本主题聚类识别结果展示, figureFileSmall=0r6C8HCwDc8xhRbSlcSaMw==, figureFileBig=n3LTSol4G5G+VpDqP/YR+w==, tableContent=null), ArticleFig(id=1317436320230785989, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436307710788401, language=EN, label=Figure 4, caption=
Temporal heatmap of topic heat dynamics, figureFileSmall=RuTYeiGFY2UzTWVcrF4XAQ==, figureFileBig=Jt4tbAV7UsD3Z3Jay5+Ycg==, tableContent=null), ArticleFig(id=1317436320293700550, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436307710788401, language=CN, label=图4, caption=
各主题热度数值演化热力图, figureFileSmall=RuTYeiGFY2UzTWVcrF4XAQ==, figureFileBig=Jt4tbAV7UsD3Z3Jay5+Ycg==, tableContent=null), ArticleFig(id=1317436320352420807, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436307710788401, language=EN, label=Figure 5, caption=
Trends in inter-group consistency levels of conditional configurations, figureFileSmall=bbSXwdLGT8k+Su518PkETg==, figureFileBig=zyP7ghoKVWPq86CeK1Nc2w==, tableContent=null), ArticleFig(id=1317436320612467656, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436307710788401, language=CN, label=图5, caption=
各条件组态2007-2021年组间一致性水平变化趋势, figureFileSmall=bbSXwdLGT8k+Su518PkETg==, figureFileBig=zyP7ghoKVWPq86CeK1Nc2w==, tableContent=null), ArticleFig(id=1317436320671187913, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436307710788401, language=EN, label=Table 1, caption=
Evaluation index system for operational orderliness of the S&T talent policy ecosystem in the mainland Chinese cities in the Guangdong-Hong Kong-Macao Greater Bay Area
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| 维度 | 一级指标 | 二级指标 | 单位 |
| 资源输入 | 经费投入 | R&D经费投入 | 亿元 |
| 人员投入 | R&D人员全时当量 | 人年 |
| 财政投入 | 地方财政教育支出 | 万元 |
| 科学技术支出 | 万元 |
| 资源转换 | 政策工具 | 供给型政策工具 | 种 |
| 需求型政策工具 | 种 |
| 环境型政策工具 | 种 |
| 效果输出 | 政策效果输出 | 技术市场成交额 | 万元 |
| 专利发明授权量 | 件 |
| 高技术产品产值占工业总产值比重 | |
| 经济效果输出 | 工业企业新产品销售收入 | 亿元 |
| 全社会固定资产投资额 | 亿元 |
| 全员劳动生产率 | |
| 工业增加值 | 亿元 |
| 外部环境 | 经济发展环境 | (城镇居民)人均可支配收入 | 元 |
| 城镇单位就业人员平均工资 | 元 |
| 人均地区生产总值 | 元 |
| 文化教育环境 | 每百人公共图书馆藏书 | 册 |
| 普通高校在校学生数占比 | |
| 社会服务环境 | 卫生工作人员 | 人 |
| 城镇化水平 | |
| 城镇职工基本养老保险参保人数 | 万人 |
), ArticleFig(id=1317436320742491082, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436307710788401, language=CN, label=表1, caption=
粤港澳大湾区内地城市群科技人才政策系统运行有序性水平评价指标体系
, figureFileSmall=null, figureFileBig=null, tableContent=
| 维度 | 一级指标 | 二级指标 | 单位 |
| 资源输入 | 经费投入 | R&D经费投入 | 亿元 |
| 人员投入 | R&D人员全时当量 | 人年 |
| 财政投入 | 地方财政教育支出 | 万元 |
| 科学技术支出 | 万元 |
| 资源转换 | 政策工具 | 供给型政策工具 | 种 |
| 需求型政策工具 | 种 |
| 环境型政策工具 | 种 |
| 效果输出 | 政策效果输出 | 技术市场成交额 | 万元 |
| 专利发明授权量 | 件 |
| 高技术产品产值占工业总产值比重 | |
| 经济效果输出 | 工业企业新产品销售收入 | 亿元 |
| 全社会固定资产投资额 | 亿元 |
| 全员劳动生产率 | |
| 工业增加值 | 亿元 |
| 外部环境 | 经济发展环境 | (城镇居民)人均可支配收入 | 元 |
| 城镇单位就业人员平均工资 | 元 |
| 人均地区生产总值 | 元 |
| 文化教育环境 | 每百人公共图书馆藏书 | 册 |
| 普通高校在校学生数占比 | |
| 社会服务环境 | 卫生工作人员 | 人 |
| 城镇化水平 | |
| 城镇职工基本养老保险参保人数 | 万人 |
), ArticleFig(id=1317436320822182859, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436307710788401, language=EN, label=Table 2, caption=
Specific indicators after generalisation
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| 维度 | 条件变量 | 主题分布 |
| “动机”维度 | 科技人才评价 | Topic1 |
| 知识产权保护 | Topic8 |
| 科技成果转化 | Topic2、Topic10、Topic15 |
| “能力”维度 | 创新能力培育 | Topic4、Topic5 |
| “情感”维度 | 人才育化环境 | Topic3、Topic7、Topic9、Topic11、Topic13 |
| 协同 | 部门协同 | Topic6 |
| 规制 | 规制力度 | Topic14 |
), ArticleFig(id=1317436321031898060, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436307710788401, language=CN, label=表2, caption=
归纳后具体指标
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| 维度 | 条件变量 | 主题分布 |
| “动机”维度 | 科技人才评价 | Topic1 |
| 知识产权保护 | Topic8 |
| 科技成果转化 | Topic2、Topic10、Topic15 |
| “能力”维度 | 创新能力培育 | Topic4、Topic5 |
| “情感”维度 | 人才育化环境 | Topic3、Topic7、Topic9、Topic11、Topic13 |
| 协同 | 部门协同 | Topic6 |
| 规制 | 规制力度 | Topic14 |
), ArticleFig(id=1317436321111589837, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436307710788401, language=EN, label=Table 3, caption=
Calibration anchors and descriptive statistics
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| 集合 | 校准 | 描述性统计 |
| 完全隶属 | 交叉点 | 完全不隶属 | 均值 | 标准差 | 最大值 | 最小值 |
| 科技人才政策系统运行有序性 | 0.974 | 0.884 | 0.534 | 0.468 | 0.312 | 0.997 | 0.028 |
| 科技人才评价 | 0.301 | 0.092 | 0.019 | 0.389 | 0.309 | 0.999 | 0.021 |
| 知识产权保护 | 0.097 | 0.013 | 0.003 | 0.485 | 0.293 | 0.997 | 0.039 |
| 科技成果转化 | 0.172 | 0.084 | 0.011 | 0.459 | 0.281 | 0.988 | 0.030 |
| 创新能力培育 | 0.125 | 0.053 | 0.011 | 0.441 | 0.278 | 0.983 | 0.024 |
| 人才育化环境 | 0.147 | 0.051 | 0.012 | 0.433 | 0.308 | 0.987 | 0.031 |
| 部门协同 | 0.133 | 0.037 | 0.005 | 0.435 | 0.309 | 0.999 | 0.038 |
| 规制力度 | 0.176 | 0.044 | 0.005 | 0.456 | 0.285 | 0.996 | 0.035 |
), ArticleFig(id=1317436321182893006, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436307710788401, language=CN, label=表3, caption=
校准锚点与描述性统计
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| 集合 | 校准 | 描述性统计 |
| 完全隶属 | 交叉点 | 完全不隶属 | 均值 | 标准差 | 最大值 | 最小值 |
| 科技人才政策系统运行有序性 | 0.974 | 0.884 | 0.534 | 0.468 | 0.312 | 0.997 | 0.028 |
| 科技人才评价 | 0.301 | 0.092 | 0.019 | 0.389 | 0.309 | 0.999 | 0.021 |
| 知识产权保护 | 0.097 | 0.013 | 0.003 | 0.485 | 0.293 | 0.997 | 0.039 |
| 科技成果转化 | 0.172 | 0.084 | 0.011 | 0.459 | 0.281 | 0.988 | 0.030 |
| 创新能力培育 | 0.125 | 0.053 | 0.011 | 0.441 | 0.278 | 0.983 | 0.024 |
| 人才育化环境 | 0.147 | 0.051 | 0.012 | 0.433 | 0.308 | 0.987 | 0.031 |
| 部门协同 | 0.133 | 0.037 | 0.005 | 0.435 | 0.309 | 0.999 | 0.038 |
| 规制力度 | 0.176 | 0.044 | 0.005 | 0.456 | 0.285 | 0.996 | 0.035 |
), ArticleFig(id=1317436321262584783, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436307710788401, language=EN, label=Table 4, caption=
Results of the necessity analysis
, figureFileSmall=null, figureFileBig=null, tableContent=
| 前因条件 | 高系统有序性 | 低系统有序性 |
| 汇总一致性 | 汇总覆盖度 | 组间一致性
调整距离 | 组内一致性
调整距离 | 汇总一致性 | 汇总覆盖度 | 组间一致性
调整距离 | 组内一致性
调整距离 |
| 强科技人才评价 | 0.664 | 0.647 | 0.221 | 0.220 | 0.601 | 0.698 | 0.281 | 0.379 |
| 弱科技人才评价 | 0.69 | 0.592 | 0.247 | 0.231 | 0.696 | 0.712 | 0.234 | 0.336 |
| 强知识产权保护 | 0.587 | 0.687 | 0.336 | 0.238 | 0.485 | 0.678 | 0.264 | 0.566 |
| 弱知识产权保护 | 0.725 | 0.541 | 0.281 | 0.206 | 0.776 | 0.692 | 0.187 | 0.175 |
| 强科技成果转化 | 0.69 | 0.648 | 0.260 | 0.143 | 0.621 | 0.696 | 0.200 | 0.375 |
| 弱科技成果转化 | 0.677 | 0.6 | 0.243 | 0.259 | 0.686 | 0.725 | 0.209 | 0.179 |
| 强创新能力培育 | 0.684 | 0.679 | 0.298 | 0.150 | 0.595 | 0.704 | 0.209 | 0.460 |
| 弱创新能力培育 | 0.702 | 0.592 | 0.277 | 0.259 | 0.729 | 0.733 | 0.213 | 0.158 |
| 强人才育化环境 | 0.627 | 0.649 | 0.281 | 0.241 | 0.604 | 0.746 | 0.345 | 0.349 |
| 弱人才育化环境 | 0.755 | 0.615 | 0.141 | 0.161 | 0.716 | 0.696 | 0.213 | 0.290 |
| 强部门协同 | 0.605 | 0.637 | 0.230 | 0.357 | 0.579 | 0.727 | 0.294 | 0.370 |
| 弱部门协同 | 0.741 | 0.596 | 0.183 | 0.182 | 0.711 | 0.682 | 0.179 | 0.336 |
| 强规制力度 | 0.675 | 0.708 | 0.234 | 0.175 | 0.523 | 0.655 | 0.409 | 0.392 |
| 弱规制力度 | 0.671 | 0.541 | 0.251 | 0.227 | 0.767 | 0.738 | 0.217 | 0.221 |
), ArticleFig(id=1317436321455522768, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436307710788401, language=CN, label=表4, caption=
必要性分析结果
, figureFileSmall=null, figureFileBig=null, tableContent=
| 前因条件 | 高系统有序性 | 低系统有序性 |
| 汇总一致性 | 汇总覆盖度 | 组间一致性
调整距离 | 组内一致性
调整距离 | 汇总一致性 | 汇总覆盖度 | 组间一致性
调整距离 | 组内一致性
调整距离 |
| 强科技人才评价 | 0.664 | 0.647 | 0.221 | 0.220 | 0.601 | 0.698 | 0.281 | 0.379 |
| 弱科技人才评价 | 0.69 | 0.592 | 0.247 | 0.231 | 0.696 | 0.712 | 0.234 | 0.336 |
| 强知识产权保护 | 0.587 | 0.687 | 0.336 | 0.238 | 0.485 | 0.678 | 0.264 | 0.566 |
| 弱知识产权保护 | 0.725 | 0.541 | 0.281 | 0.206 | 0.776 | 0.692 | 0.187 | 0.175 |
| 强科技成果转化 | 0.69 | 0.648 | 0.260 | 0.143 | 0.621 | 0.696 | 0.200 | 0.375 |
| 弱科技成果转化 | 0.677 | 0.6 | 0.243 | 0.259 | 0.686 | 0.725 | 0.209 | 0.179 |
| 强创新能力培育 | 0.684 | 0.679 | 0.298 | 0.150 | 0.595 | 0.704 | 0.209 | 0.460 |
| 弱创新能力培育 | 0.702 | 0.592 | 0.277 | 0.259 | 0.729 | 0.733 | 0.213 | 0.158 |
| 强人才育化环境 | 0.627 | 0.649 | 0.281 | 0.241 | 0.604 | 0.746 | 0.345 | 0.349 |
| 弱人才育化环境 | 0.755 | 0.615 | 0.141 | 0.161 | 0.716 | 0.696 | 0.213 | 0.290 |
| 强部门协同 | 0.605 | 0.637 | 0.230 | 0.357 | 0.579 | 0.727 | 0.294 | 0.370 |
| 弱部门协同 | 0.741 | 0.596 | 0.183 | 0.182 | 0.711 | 0.682 | 0.179 | 0.336 |
| 强规制力度 | 0.675 | 0.708 | 0.234 | 0.175 | 0.523 | 0.655 | 0.409 | 0.392 |
| 弱规制力度 | 0.671 | 0.541 | 0.251 | 0.227 | 0.767 | 0.738 | 0.217 | 0.221 |
), ArticleFig(id=1317436321535214545, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436307710788401, language=EN, label=Table 5, caption=
Configurational results of operational orderliness in "high-low tech" talent policy systems
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| 条件变量 | 组态分析—高 | 组态分析—低 |
| “动机”主导的协同驱动型 | “情感”主导的
规制驱动型 | “动机—情感”
主导的协同
驱动型 | “动机—能力”
主导的协同规
制共同驱动型 | 多元协同的
规制驱动型 | “低动机—弱规制”抑制型 |
| M1 | M2 | E1 | ME1 | MA1 | R1 | LMR1 | LMR2 |
| 科技人才评价 |  |  |  |  |  |  |  |  |
| 知识产权保护 |  |  | |  | |  |  |  |
| 科技成果转化 |  |  |  |  |  |  |  |  |
| 人才创新培养 |  |  |  |  |  |  |  |  |
| 人才育化环境 |  | |  |  |  |  |  | |
| 部门协同 |  |  |  | |  |  | |  |
| 规制力度 | |  |  |  |  |  |  |  |
| 一致性 | 0.91 | 0.956 | 0.908 | 0.911 | 0.926 | 0.93 | 0.867 | 0.893 |
| PRI | 0.64 | 0.79 | 0.66 | 0.634 | 0.711 | 0.721 | 0.67 | 0.703 |
| 覆盖度 | 0.317 | 0.262 | 0.301 | 0.265 | 0.341 | 0.277 | 0.348 | 0.304 |
| 唯一覆盖度 | 0.059 | 0.003 | 0.048 | 0.024 | 0.06 | 0.026 | 0.083 | 0.039 |
| 组间一致性调整距离 | 0.106 | 0.055 | 0.183 | 0.170 | 0.106 | 0.128 | 0.187 | 0.141 |
| 组内一致性调整距离 | 0.143 | 0.084 | 0.192 | 0.140 | 0.112 | 0.133 | 0.255 | 0.217 |
| 总体一致性 | 0.868 | 0.868 |
| 总体PRI | 0.634 | 0.697 |
| 总体覆盖度 | 0.563 | 0.387 |
), ArticleFig(id=1317436321619100626, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436307710788401, language=CN, label=表5, caption=
实现高—低科技人才政策系统运行有序度的组态结果
, figureFileSmall=null, figureFileBig=null, tableContent=
| 条件变量 | 组态分析—高 | 组态分析—低 |
| “动机”主导的协同驱动型 | “情感”主导的
规制驱动型 | “动机—情感”
主导的协同
驱动型 | “动机—能力”
主导的协同规
制共同驱动型 | 多元协同的
规制驱动型 | “低动机—弱规制”抑制型 |
| M1 | M2 | E1 | ME1 | MA1 | R1 | LMR1 | LMR2 |
| 科技人才评价 | | | | | | | | |
| 知识产权保护 | | | | | | | | |
| 科技成果转化 | | | | | | | | |
| 人才创新培养 | | | | | | | | |
| 人才育化环境 | | | | | | | | |
| 部门协同 | | | | | | | | |
| 规制力度 | | | | | | | | |
| 一致性 | 0.91 | 0.956 | 0.908 | 0.911 | 0.926 | 0.93 | 0.867 | 0.893 |
| PRI | 0.64 | 0.79 | 0.66 | 0.634 | 0.711 | 0.721 | 0.67 | 0.703 |
| 覆盖度 | 0.317 | 0.262 | 0.301 | 0.265 | 0.341 | 0.277 | 0.348 | 0.304 |
| 唯一覆盖度 | 0.059 | 0.003 | 0.048 | 0.024 | 0.06 | 0.026 | 0.083 | 0.039 |
| 组间一致性调整距离 | 0.106 | 0.055 | 0.183 | 0.170 | 0.106 | 0.128 | 0.187 | 0.141 |
| 组内一致性调整距离 | 0.143 | 0.084 | 0.192 | 0.140 | 0.112 | 0.133 | 0.255 | 0.217 |
| 总体一致性 | 0.868 | 0.868 |
| 总体PRI | 0.634 | 0.697 |
| 总体覆盖度 | 0.563 | 0.387 |
), ArticleFig(id=1317436321690403795, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436307710788401, language=EN, label=Table 6, caption=
Mean regional coverage
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| 区域 | “动机”主导的协同驱动型 | “情感”主导的
规制驱动型 | “动机—情感”
主导的协同驱动型 | “动机—情感”
主导的协同规制
共同驱动型 | 多元协同的
规制驱动型 |
| M1 | M2 | E1 | ME1 | MA1 | R1 |
| 深莞惠都市圈 | 0.308 | 0.252 | 0.256 | 0.232 | 0.345 | 0.280 |
| 珠中江都市圈 | 0.346 | 0.329 | 0.426 | 0.418 | 0.495 | 0.342 |
| 广佛肇都市圈 | 0.430 | 0.327 | 0.353 | 0.284 | 0.360 | 0.305 |
), ArticleFig(id=1317436321757512660, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436307710788401, language=CN, label=表6, caption=
区域覆盖度均值
, figureFileSmall=null, figureFileBig=null, tableContent=
| 区域 | “动机”主导的协同驱动型 | “情感”主导的
规制驱动型 | “动机—情感”
主导的协同驱动型 | “动机—情感”
主导的协同规制
共同驱动型 | 多元协同的
规制驱动型 |
| M1 | M2 | E1 | ME1 | MA1 | R1 |
| 深莞惠都市圈 | 0.308 | 0.252 | 0.256 | 0.232 | 0.345 | 0.280 |
| 珠中江都市圈 | 0.346 | 0.329 | 0.426 | 0.418 | 0.495 | 0.342 |
| 广佛肇都市圈 | 0.430 | 0.327 | 0.353 | 0.284 | 0.360 | 0.305 |
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