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Sustainability 2017, 9(7), 1218; doi:10.3390/su9071218

Innovation Capability and Innovation Talents: Evidence from China Based on a Quantile Regression Approach

1
School of Management, Hefei University of Technology, Hefei 230009, China
2
Department of Economics, Illinois State University, Normal, IL 61790-4200, USA
*
Author to whom correspondence should be addressed.
Received: 18 May 2017 / Revised: 21 June 2017 / Accepted: 5 July 2017 / Published: 11 July 2017
(This article belongs to the Section Economic, Business and Management Aspects of Sustainability)
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Abstract

Innovation talents, as a most active and important resource in innovation activities, are receiving increasing attention in the enhancement of innovation capability. It seems that areas with strong innovation capability are more attractive to innovation talents. To explore the impact of innovation capability—measured by innovation environment input efficiency—on the distribution of innovation talent, and given the heavy-tailed distribution of talents, a quantile regression approach is adopted for Chinese data covering 2001–2015. The results show that: (a) at the country level, the innovation environment and innovation talents are surprisingly negatively related due to pre-reform special regional strategies and the immature innovation environment in China, while both innovation input and efficiency facilitates the agglomeration of innovation talent; and (b) at the regional level, some different influences on talents appear: the strongest negative impact of the innovation environment is in the areas with a low level of talents, moderate positive effects of innovation input and efficiency can be seen in areas with a medium level of talents, and significantly positive contributions from innovation input and efficiency can be seen in the areas that already have a high level of talents. The results offer some suggestions for managers and the government, which are beneficial for the guidance of the ordered flow of innovation talents and the enhancement of regional innovation capability and sustainability. View Full-Text
Keywords: innovation talents; innovation capability; quantile regression; density forecast innovation talents; innovation capability; quantile regression; density forecast
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Wei, F.; Feng, N.; Zhang, K.H. Innovation Capability and Innovation Talents: Evidence from China Based on a Quantile Regression Approach. Sustainability 2017, 9, 1218.

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