创新价值链视角下区域创新水平分布动态及链间影响

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Abstract This paper divided China's innovative activities into three stages:knowledge innovation,scientific research innovation and product transformation innovation in the perspective of innovation value chain.It studies the characteristics of innovation distribution dynamic in each stage by using Kernel density estimation and Markov method.Then it investigates the impact of innovative activities upstream of the innovation value chain on the dynamic distribution of downstream innovation levels with the constructed conditional Markov chain model.The findings are as follows:①As time changes,the innovation level distribution of the three types of innovation activities shows a more dispersed trend,while regional differences increase and polarization phenomenon disappears gradually;②The internal mobility of the three types of innovation level distribution is low,but the liquidity level increases with the rise of the value chain stage;③The innovation activities in the upstream of value chain have significant positive influence on the internal liquidity of innovation distribution.

Key words： Innovation value chain Distribution dynamics Kernel density Conditional Markov chain

Received: 11 September 2017

PACS:

F124.3

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	Zhou Di
	Zhong Shaojun

Cite this article:

Zhou Di,Zhong Shaojun. Distribution Dynamics and Inter Chain Effects of Regional Innovation in the Perspective of Innovation Value Chain[J]. , 2018, 0(6): 110-120.

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http://www.zgkjlt.org.cn/EN/ OR http://www.zgkjlt.org.cn/EN/Y2018/V0/I6/110

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