首页|基于履历数据的"杰青"人才流动网络特征及驱动机制研究

基于履历数据的"杰青"人才流动网络特征及驱动机制研究

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科技人才队伍建设是支撑中国新时代人才强国战略实施的重要保障,也是推动中国式现代化和实现高水平科技自立自强的强有力支撑.论文基于2010-2019年1832名国家杰出青年科学基金项目获资助人(简称杰青人才)的履历信息,建立杰青人才流动理论分析框架,并采用社会网络分析法和负二项回归模型对杰青人才流动网络的结构特征和驱动因素进行分析.结果表明:①拓扑结构特征上,学习阶段网络主体以国内城市相互流动为主,呈现以北京、上海双核心的网络拓扑结构,工作阶段网络主体以国内与国外城市之间流动为主,呈现以北京、上海为双核心的网络拓扑结构,并展现出国外向国内一线城市集聚式流动的迁移特征,人才回流效应显著.②核心—边缘特征上,相较于学习阶段,工作阶段的核心—边缘结构特征更为显著,强半边缘城市、弱半边缘城市及边缘城市之间呈现出一定的更迭特征.地理空间特征上,杰青人才国内流动网络呈现以北京为核心的轴辐式网络结构特征,并未表现出明显的"孔雀东南飞"的地理迁移特征.③城市属性要素回归结果表明,各阶段人才迁移的驱动因素具有一定差异性,其中教育资源、经济水平是影响杰青人才流动的关键要素.④邻近性因素上,"硕士—博士"阶段,人才的流动主要受文化邻近性和社会邻近性的影响,"杰青立项前一次工作—杰青立项"阶段,人才的流动主要受制度邻近性和社会邻近性的影响,"杰青立项—现工作"阶段,人才的流动主要受地理邻近性的影响.
Characteristics of Distinguished Young Scholars mobility network and driving mechanism based on curriculum vitae data
The construction of a science and technology talent pool is a crucial guarantee for the implementation of China's talent-driven strategy for the new era and a robust support for propelling the Chinese style modernization and achieving high-level scientific and technological self-reliance and self-strengthening.This study constructed a theoretical analysis framework for the mobility of recipients of the National Science Fund for Distinguished Young Scholars based on the Curriculum Vitae information of 1832 recipients from 2010 to 2019.Social network analysis and the negative binomial regression model were used to examine the structural characteristics of the mobility network of these outstanding young talents and driving factors.The findings reveal that:1)Topologically,the learning phase network primarily consists of domestic intercity mobility with a dual-core network topology centered around Beijing and Shanghai.In contrast,the working phase network is dominated by mobility between domestic and international cities,presenting a dual-core network topology with a notable talent reflow effect characterized by movement from abroad to first-tier Chinese cities.2)The core-periphery characteristics are more pronounced during the working phase than the learning phase,with evident transitions between strong semi-peripheral cities,weak semi-peripheral cities,and peripheral cities.Geospatially,the domestic mobility network of outstanding young talents displays a hub-and-spoke structure centered on Beijing,without a clear"peacock flying southeast"migration pattern.3)The regression results of city attribute factors indicate that the drivers of talent migration vary across different stages,with educational resources and economic levels being key factors that influence talent mobility.4)Empirical results for the proximity factors show that during the Master's-Ph.D.phase,cultural and social proximities have a significant positive impact on talent mobility.During the pre-Distinguished Young Scholar appointment-Distinguished Young Scholar appointment phase,institutional and social proximities significantly influence talent mobility.During the Distinguished Young Scholar appointment-current work phase,geographical proximity has a significant negative impact on talent mobility.

Distinguished Young ScholarsCurriculum Vitae analysistalent mobilitynetwork characteristics

胡骁宇、陈刚、王光辉

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澳门科技大学可持续发展研究所,澳门 999078

景德镇学院经济管理学院,江西景德镇 333400

江西财经大学经济与社会发展研究院,南昌 330013

中国科学院地理科学与资源研究所,区域可持续发展分析与模拟院重点实验室,北京 100101

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杰青人才 履历分析 人才流动 网络特征

国家自然科学基金项目国家自然科学基金项目中国科学院青年创新促进会项目中国科学院青年创新促进会项目

7197418272374191E2X03816012022152

2024

地理科学进展
中国科学院地理科学与资源研究所 中国地理学会

地理科学进展

CSTPCDCSSCI北大核心
影响因子:2.458
ISSN:1007-6301
年,卷(期):2024.43(9)