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Analysis of Mobility Patterns of Science and Technology Innovation Talents in China:An Empirical Study of Science and Technology Innovation Leaders Based on China's Ten Thousand Talents Program
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作者 ZHU Ying ZHENG Xiaoqi ZHANG Yan 《Frontiers of Business Research in China》 2023年第2期239-252,共14页
Science and technology innovation talents are at the core of technology innovation,and their mobility has become a source of competition between regions and institutes.This paper analyzes the curriculum vitaes(CVs)of ... Science and technology innovation talents are at the core of technology innovation,and their mobility has become a source of competition between regions and institutes.This paper analyzes the curriculum vitaes(CVs)of young and middle-aged leading talents in technology innovation,and explores their mobility patterns during their schooling and employment,leading to the following observations:A high-quality learning environment is an essential for the development of innovation talents;the mobility intensity has increased,and the phenomenon of"inbreeding"has been alleviated;the total number of institution or location changes is positively correlated with age,and the overall trend of mobility is stable;the regional imbalance of talent mobility has intensified,and the Matthew Effect,whereby initial advantage amplifies success and initial disadvantage amplifies disadvantage,has become prominent.This paper proposes measures such as refining cross-border mobility policy,expanding the academic vision of innovation talents,encouraging talent employment mobility,optimizing the allocation of resources,improving the human resource environment,establishing a talent development ecology,enriching educational resources,and coordinating the relationship between talent cultivation and talent attraction.These measures are expected to provide insights into the development and mobility of technology innovation talents and to be beneficial for the improvement of science and technology innovation talents policies. 展开更多
关键词 science and technology innovation talents mobility pattern CVanalysis methods
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