Abstract
The flow of high-level talents in China is becoming more and more active and has a profound impact on the innovation and development of cities. Based on the research on the spatial distribution of the school and work stages of high-level talent in China, we study the structure and evolution of China’s high-level talent mobility network by using the data on the flow trajectory of talent among cities in China. The results show that: (1) the spatial distribution of talents in the two stages has greater consistency, but there is a change characteristic of “large dispersion, small agglomeration.” (2) Compared with the school stage, the network in the work stage has much more connections; the centrality gap of cities has narrowed. (3) “Core-periphery” structure of two networks is relatively significant and similar. The core layer in the two networks has not changed, but the subcore layer and the subedge layer have undergone changes. In addition, talents mainly flow to core and subcore cities. (4) The space structure of network is more complex in the work stage, and it is expanding to the Guangdong-Hong Kong-Macao Greater Bay Area in southeastern China.
Highlights
Talent has become a crucial strategic resource in China’s economic and social development [1]. e spatial layout and flow efficiency of high-level talents (HLT) to a large extent characterize the regional economic development status [2] and represent the distribution of the engine of the science and technology industry [3]
Considering the availability of data, the HLT in this article refers to the academicians of the Chinese Academy of Sciences (ACAS), the academicians of the Chinese Academy of Engineering (ACAE), the Chinese academicians of the International Eurasian Academicians (IAEA), the Chinese academicians of the Academicians of Developing Countries (TWAS), the scholar of the Changjiang Scholars Program (CJSP), and the scholar of the National Outstanding Youth Fund Project (NOYFPS)
Comparative analysis found that the spatial distribution of HLT in China has a trend of “large dispersion and small aggregation.” e gap between the centrality of nodes in the network has narrowed. e flow of talents has become more frequent and complicated. e core-peripheral structure of the network has not changed much, and the Matthew effect of the flow of talents still exists
Summary
Talent has become a crucial strategic resource in China’s economic and social development [1]. e spatial layout and flow efficiency of high-level talents (HLT) to a large extent characterize the regional economic development status [2] and represent the distribution of the engine of the science and technology industry [3]. In September 2021, General Secretary Xi Jinping pointed out at the Central Conference on Talent work (http://www.gov.cn/xinwen/2021-09/28/content_ 5639868.htm?version=2.5.40020.452&platform=win) that Beijing, Shanghai, and the Guangdong-Hong Kong-Macao Greater Bay Area could be built into HLT hubs, and some central cities with HLT concentration should focus on building platforms to attract and gather talent Factors such as regional development differences, unhealthy talent competition among cities, and government policy guidance will inevitably have an important impact on the flow of HLT in China. In this context, there is an urgent need to thoroughly study the spatial distribution and flow characteristics of China’s HLT, so as to provide support for the government to formulate scientific policies for attracting talents. By comparing the core-edge structure of the network, this paper discusses whether there is Matthew effect in the current flow of HLT in China. ird, the spatial heterogeneity of talent flow network is analyzed by comparing its spatial structure
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