摘要
论文基于创新价值链视角将创新活动分为知识创新、科研创新以及产品转化创新三个阶段。首先采用分布动态学中的Kernel密度估计和Markov链方法考察各阶段创新水平的分布动态特征,随后采用构造的条件Markov链模型研究处于创新价值链上游的创新活动对下游创新水平分布动态的影响。研究发现:(1)随着时间变化,三类创新活动的创新水平分布都呈现出更加分散的态势,区域差异逐渐增大同时极化现象逐渐缓解甚至消失;(2)三类创新水平分布的内部流动性都较低,但流动程度随着价值链阶段的上升不断提升;(3)价值链上游的创新活动对下游创新分布的内部流动性有显著的积极影响。
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:(1)As 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;(2)The 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;(3)The innovation activities in the upstream of value chain have significant positive influence on the internal liquidity of innovation distribution.
作者
周迪
钟绍军
Zhou Di;Zhong Shaojun(School of International Trade& Economics, Guangdong University of Foreign Studies, Guangzhou 510006, China;College of Mathematics and Statistics, Hubei University of Science and Technology, Xianning 437100, China)
出处
《中国科技论坛》
CSSCI
北大核心
2018年第6期110-120,共11页
Forum on Science and Technology in China
基金
全国统计科学研究一般项目"省际碳排放公平和效率的马太效应比较及其协调视角下的碳减排路径研究"(2017LY55)