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The Spatial-temporal Pattern and Dynamic Evolution of The Innovation Factors Agglomeration Capacity in China |
Liu Shuai,Li Qi,Xu Xiaoyu,Qiao Zhilin |
(School of Economics and Finance, Xi'an Jiaotong University, Xi'an 710061, China) |
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Abstract This study takes industrial enterprises, research institutes, and universities as the main regional innovation subjects and studies the spatial-temporal pattern and dynamic evolution of their innovation factors agglomeration capacity based on the data collected from 30 provinces in China during 2000-2018.The Gini coefficient and spatial decomposition, exploratory spatial analysis, kernel density estimation, spatial Markov chain, and hidden Markov model are comprehensively used.Research finds that: (1) there is a small regional gap in the capacity of innovation factors agglomeration between industrial enterprises and universities.And the regional gap in the capacity of innovation factors agglomeration between scientific institutes is relatively large.(2) The regional disparity of innovation factors agglomeration capacity of three kinds of innovation subjects mainly comes from the disparity between non-adjacent regions’ innovation factors agglomeration capacity.The innovation factors agglomeration capacity of three kinds of innovation subjects shows positive spatial convergence, and their spatial distribution is characterized by different polarization phenomena and trends.(3) the innovation factors agglomeration capacity of industrial enterprises, research institutes, and universities have experienced three states in the sample period, which are high, medium, and low, respectively.The state transition of innovation factors agglomeration capacity shows the characteristics of path-dependence and space-dependence.
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Received: 29 December 2020
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