Abstract
In this paper, based on the panel data of 31 provinces and cities in China from 1991 to 2016, the regional development efficiency matrix of high-end talent is obtained by DEA method, and the matrix is converted into a continuous change of complex networks through the construction of sliding window. Using a series of continuous changes in the complex network topology statistics, the characteristics of regional high-end talent development efficiency system are analyzed. And the results show that the average development efficiency of high-end talent in the western region is at a low level. After 2005, the national regional high-end talent development efficiency network has both short-range relevance and long-range relevance in the evolution process. The central region plays an important intermediary role in the national regional high-end talent development system. And the western region has high clustering characteristics. With the implementation of the high-end talent policies with regional characteristics by different provinces and cities, the relevance of high-end talent development efficiency in various provinces and cities presents a weakening trend, and the geographical characteristics of high-end talent are more and more obvious.
Highlights
At present, high-end talent with scientific and technical knowledge, innovation and creativity has become the most valuable capital and core resources, it is the main source and factor of economic growth, and the level of high-end talent development is directly related to the power of a country or region
The efficiency of regional high-end talent development can be calculated by DEA method, and the calculation process is as follows: Assume the high-end talent evaluation system has a total of n evaluation objects, and the evaluation index system consists of m input indicators and s output indicators, where the input and output vectors of the jth in DMU are
The average efficiency of high-end talent development in the western region is at a low level among the three regions, especially in Sichuan, Guangxi, Guizhou, Ningxia, Xinjiang, Yunnan, Inner Mongolia, Qinghai and Tibet, and their average score for high-end talent development is less than 0.5
Summary
High-end talent with scientific and technical knowledge, innovation and creativity has become the most valuable capital and core resources, it is the main source and factor of economic growth, and the level of high-end talent development is directly related to the power of a country or region. Based on the 2001–2010 data of high-end talent and the regional innovation ability. Li Z et al [13] studied the evaluation of the development efficiency of high-end talent in western China and its influencing factors. Some scholars have gradually begun to pay attention to the evaluation of the development efficiency of regional high-end talent [13,14] in China, and they found some results. There are still several problems in the existing research: (1) The existing research is just to select the data for a certain period of time, and the evaluation of regional high-end talent development efficiency is static. (2) The existing researches only obtained the evaluation of the development efficiency about high-end talent in different regions at a certain time, but lacked the. The dynamic topology indicators of the networks are defined, and the spatial evolution characteristics of the regional high-end talent development efficiency are analyzed
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