Title :
R&D Human Capital Allocation in High-Tech Industries and Its Economic Effects
Author :
Jingting Zeng ; Huodi Zhu
Author_Institution :
Coll. of Econ. & Trade, Chongqing Univ. of Technol., Chongqing, China
Abstract :
The application of new knowledge and the development of new technologies have become the keys for high-tech enterprises to participate successfully in market competition in the new economic era. Taking human capital of research and development as the studying object, this thesis explored the allocation of R&D human capital and its economic effects on the high-tech industries mainly through performing regression analyses amongst relational statistics in Chongqing from 1997 to 2011. It showed that the allocation of R&D human capital had very strong explanatory power for the long-term development of high-tech industries, especially for the development of new techniques and products. Moreover, rational structure configuration of human capital and the funds was required.
Keywords :
industrial economics; labour resources; regression analysis; research and development; resource allocation; R&D human capital allocation; economic effects; high-tech industries; market competition; regression analysis; relational statistics; research and development; Biological system modeling; Economics; Industries; Production; Research and development; Resource management; Technological innovation; R & D human capital; allocation; economic effects; high-tech industries;
Conference_Titel :
Computational Sciences and Optimization (CSO), 2014 Seventh International Joint Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-5371-4
DOI :
10.1109/CSO.2014.47