CORC  > 清华大学
科技投入对国家创新能力的提升机制研究
张治河 ; 冯陈澄 ; 李斌 ; 华瑛 ; Zhang Zhihe ; Feng Chencheng ; Li Bin ; Hua Ying
2016-03-30 ; 2016-03-30
关键词系统动力学 创新能力 创新资源 创新政策 科技投入① system dynamics innovation capacity innovative resource innovative policy S&T input F124.3
其他题名The research on the mechanism to enhance the national innovation capacity through S&T input
中文摘要增加科技投入是提升创新能力的重要手段和有效途径。近年来我国科技投入力度不断加强,庞大的科技投入对国家创新能力的作用效果到底如何?不同的投入形式和途径带来的结果有何差异?本文以专利申请数量和新产品销售收入为国家创新能力的指标要素,采用系统动力学的方法建立了科技投入对国家创新能力提升机制的仿真模型。通过Vensim PLE软件对系统内科研资金、人员和政策的变动以及企业、科研机构和高校三大科研主体间资金和人员流动对国家创新能力的影响进行了模拟,揭示了不同形式和来源的科技投入对国家创新能力的作用途径和效果。研究发现:(1)科研资金在配置过程中向高校流动,科研人员在配置过程中向高校和企业流动更有利于提升国家创新能力;(2)从科技政策来看,加大教育投入和专利保护强度都能有效地提升国家创新能力。; Increasing S&T input is a crucial and efficient way to improve the national creativity.In recent years,we have been continuously strengthening the S&T input.What are the effects of these tremendous S&T input on the national creativity? What would be the differences brought by various forms and means of input? With the number of patent applications and the sales of new products as indicating elements for national creativity,this paper establishes a simulation model on the promotion mechanism of S&T input on national creativity based on the System Dynamics.The impacts of different factors(the S&T funds,the turnover of personnel and change of policies,the mobility of funds and personnel among enterprises,research institutions and universalities) on national creativity are simulated through the Vensim PLE software.It is revealed how the S&T input with various forms and sources affect the national creativity as well as the corresponding impacts.The results have shown that:(1) It is more in favor of national creativity by allocating more S&T funds to universities and more S&T personnel to enterprises and universities;(2) From the perspective of S&T policy,increasing education inputs and strengthening patent protection can both efficiently enhance national creativity.
语种中文 ; 中文
内容类型期刊论文
源URL[http://ir.lib.tsinghua.edu.cn/ir/item.do?handle=123456789/145644]  
专题清华大学
推荐引用方式
GB/T 7714
张治河,冯陈澄,李斌,等. 科技投入对国家创新能力的提升机制研究[J],2016, 2016.
APA 张治河.,冯陈澄.,李斌.,华瑛.,Zhang Zhihe.,...&Hua Ying.(2016).科技投入对国家创新能力的提升机制研究..
MLA 张治河,et al."科技投入对国家创新能力的提升机制研究".(2016).
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace