Spatial Agglomeration Pattern and Spatio-temporal Evolution of Talents in China
LIU Hui1, HU Sen-lin2
1.Business School, Xinjiang Normal University, Urumqi 830054, China;
2.Center for Modern Chinese City Studies/ School of Urban and Regional Science, East China Normal University, Shanghai 200062, China
Abstract According to China Talent Resources Statistics Report between 2010 and 2015, the Exploratory Spatial Data Analysis (ESDA) model is adopted to describe the spatial agglomeration characteristics of talents in China and its spatial-temporal evolution patterns. The research shows that the spatial distribution of Chinese talents is not balanced, presenting a “center-periphery” pattern in which southern and eastern regions enjoy an intensive distribution of talents while the northern and western regions have a sparse one. Due to the differences in distribution scale and degree of agglomeration, different types of talents have formed a pattern of multi-centered agglomeration. Among them, the party and government talents and highly skilled talents form a dual-centered pattern while enterprise operation and management talents and professional and technical talents form a multi-centered and banded cluster, and rural practical talents form a single-centered circular pattern. From the evolution trend, the spatial distribution pattern of talents shows a reverse evolution trend in which the agglomeration is increasing in the central area and decreasing in the peripheral area. The degree of spatial autocorrelation of talent gathering is enhanced, mainly in the mode of high-high cluster and low-low cluster. Based on this, it is suggested that talent management departments should innovate trans-regional management system and adopt the “two-way adjustment” through economic and administrative means to alleviate the unbalanced allocation of talent space caused by “talent competition” and to promote coordinated regional development.
2019, Vol. 36 
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