Redai dili (Aug 2023)

Network Correlation Characteristics and Influencing Factors of High-Level Talent Flow: Observation of the High-Level Talent in the Yangtze River Delta

  • Wang Xiumei,
  • Huang Chunxiao,
  • Xu Hongfu,
  • Yang Zhiqiang

DOI
https://doi.org/10.13284/j.cnki.rddl.003725
Journal volume & issue
Vol. 43, no. 8
pp. 1489 – 1500

Abstract

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In the era of knowledge economy, acquiring top talent has become the key to competitiveness for urban and regional areas. As the representatives of top talent, CAS(Chinese Academy of Sciences) and CAE (Chinese Academy of Engineering), Yangtze River Scholars, and Distinguished Young Scholars are important for breakthroughs in and promotion of competitiveness in urban science and technology competitiveness. Taking the core area of the Yangtze River Delta as an example, based on the list of CAS and CAE, Yangtze River scholars, and Distinguished Young Scholars in the previous year, through a resume analysis method, a resume database of 1,878 highly-talented individuals was constructed. Considering the urban scale, this study explores the law of social space flow and its influencing factors, using the ArcGIS spatial analysis and social surveys. It aims to identify the urban and regional where top innovative talent gathering, and provide inspiration for the construction of a regional network. The conclusions are as follows: (1) The first career choice of high-level talent has a significant spatial proximity orientation, which manifests in two aspects. First, local emotional traction is strong, and the migration from one's place of birth to the place of employment is mainly local or migration to the neighboring. Second, owing to the relationships developed during education, the historical correlation between high-level talent employment and schooling is strong. (2) The geographical flow of re-employment has two characteristics, network correlation and spatial proximity flow. The former is characterized by the long-distance siphoning to first-tier cities, such as Beijing, Guangzhou, and Shenzhen from non-first-tier cities in the core area of the Yangtze River Delta, as well as the significant circulation between cities that are not adjacent in space but have similar characteristics. The latter is characterized by the fact that spatial proximity was still retain within the core area of the Yangtze River Delta. (3) The pursuit of individual interests by high-level talent and the urban comprehensive environment jointly shape the network correlation phenomenon of high-level talent flow. High-level talent pays most attention to economic level, innovation support, development opportunities, and emotional support, while the strength of the urban "talent magnetic field" is ultimately determined by the urban comprehensive environment, comprising the economy, policies, innovation, and social environment.

Keywords