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| Study on the Time-Space Effect of Multi-factor Coupling of Regional Governance on the Clustering of Scientific and Technological Talents |
| Zhang Yanju1,2, Fu Huanli1, Wang Shiquan3, Zhang Fei1 |
1. School of Business Management,Liaoning Technical University,Huludao 125105,China;
2. Modern Enterprise Innovation Research Institute,Liaoning Technical University,Huludao 125105,China;
3. School of Business Administration,Northeastern University,Shenyang 110169,China |
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Abstract Examining the time-space effect of scientific and technological talent clustering across Chinese provinces,and identifying which regional governance factors require optimization to effectively attract scientific and technological talent,constitutes a critical research priority.Based on panel data from 31 provinces in China from 2012 to 2021,this study views regional governance as an ecosystem composed of government governance,market governance,and social governance,and examines the time-space evolution and configurational mechanisms of science and technology talent clustering patterns across Chinese provinces by using gravity models,complex network analysis,geographic detectors and fsQCA.The results show as follows.①The clustering scale of science and technology talent across Chinese provinces has experienced rapid expansion,demonstrating pronounced small-world characteristics and significant polarization,though disparities are narrowing.②There is a positive correlation between the concentration of scientific and technological talent in China's provinces,meaning that fast-growing areas are adjacent,slow-growing areas are also adjacent to each other.③The spatial differentiation characteristics of science and technology talent aggregation are jointly influenced by government governance,market governance,and social governance factors.Innovation performance,enterprise R&D,knowledge output,and science and education investment are the main factors influencing the pattern of science and technology talent aggregation.The interaction between these factors can enhance the explanatory power of the pattern of science and technology talent aggregation.④No single governance element is necessary for high talent agglomeration,but the comprehensive interaction between government governance,market governance,and social governance conditions in each year can form diverse configurations that drive the concentration of scientific and technological talent.These findings provide essential references for future talent policy formulation.
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Received: 26 April 2024
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2025, Vol. 6 
