Based on the theory of coupled systems, we use gray relational analysis to build a complex system that regional technology talent coupled with regional high-tech industry. We examine coupling relations of regional technology talent with the high-tech industry and analyze the law of the coupling of them. Results indicated (1) the degree of coupling of the regional technology talent and the high-tech industry system is relatively high, which has much close relationship. (2) China's central and western provinces are mostly classified to low-level coupling and antagonistic stage, the degree of coupling of each regional technology talent and high-tech industry interact is significantly different, and we found that regional distribution has corresponding relationship with the level of economic development.
Key words: Technology talent; High-tech industry; Coupling degree; Coupling
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High-tech industry is very important in science and technology competition as well as competition between countries, which characterizes in high intelligence, high value-added, highly competitive, high-return and high risk. Moreover, high-tech industry also plays an irreplaceable role in upgrading industrial structure and improving labor productivity and economic benefits, thus has extremely important strategic significance to the development of social and economic. Based on the strategic position of the high-tech industry in the national economy, the development of high-tech industry is not only valued by the government, meanwhile academia has done a lot of research of the high-tech industry from all aspects, resulted in some achievements.
Technology talent is the creator and inventor of new knowledge and new technology, to lead and open up the development and breakthrough of science and technology, also the main driving force in the development of hightech industry.
Through searching for relative literatures, we found that the main research direction of the existing literature focus on innovation evaluation of the high-tech industry, Influencing factors, regional differences, industrial agglomeration and personnel training, etc. Zhang Xixi (2010) used quantitative analysis method to build a regression model to examine the interaction between China's high-tech industry concentration and high-tech talent gathering. By using statistical data, Shi Dan and Li Xiaobin (2004) analyzed the factors which has an influence on the development of high-tech industry, such as enterprise system, enterprise scale, level of economic development and investment in science and technology, including capital investment and investment in human capital, they found whether the talent has ability of outstanding innovation involved success or failure of the high-tech enterprises and the development of the industry. Sun Yutao, Bao Guangping and Liu Pingping (2008) used range method and standard deviation to analyze the regional distribution difference of scientific and technical personnel in Chinese high-tech industry. In perspective of developing high-tech industry personnel policy, Fan Bonai (2000) made a suggestion on how to improve the hightech industry personnel policy. Shen Chunguang, Chen Wanming and Pei Lingling (2010) built an evaluation index system and used a multi-level Gray System Theory to explore the innovation capability evaluation index system of regional scientific and technology talent.
Searching relative literature of foreign language, there is not much literature on the high-tech industry and technology talent. Chen-Fu Chien (2008), taking hightech industry as an example, studied how to improve personnel selection mechanism to enhance the human capital, they thought that the quality of human capital is the key to high-tech enterprises which maintain a competitive advantage in the knowledge economy era. Jean M. Johnson (2001) illustrated the contribution of human resources for science and technology, which explains the importance of talent for the development of an industry indirectly. …