The research on the mechanism to enhance the national innovation capacity through S&T input

Abstract

Abstract: 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.

Key words: system dynamics, innovation capacity, innovative resource, innovative policy, S&T input

CLC Number:

F204

Zhang Zhihe, Feng Chencheng, Li Bin, Hua Ying. The research on the mechanism to enhance the national innovation capacity through S&T input[J]. Science Research Management, 2014, 35(4): 149-160.

References

[1] 张治河, 周国华, 胡锐, 谢忠泉.创新学:一个驱动21世纪发展的新兴学科[J]. 科研管理, 2011, 32(12):143-150, 156. [2] Word Economic Forum. The Global Competitiveness Report 2011-2012[R].2011. [3] 江剑, 官建成. 中国中低技术产业创新效率分析[J]. 科学学研究, 2008(6):1325-1332. [4] Furman J L, Porter M E, Stern S. The determinants of national innovative capacity[J]Research Policy.2002, (6):899-933. [5] The White House. Science and engineering indicators 2012[R]. New York.2012-02-17. [6] 李红艳. R&D经费支出占国内生产总值(GDP)比重[J].数据, 2011(8):96. [7] 丁厚德.科技管理创新是科技创新的保证—试论科技资源宏观层次的配置管理[J].科学学与科学技术管理, 2001(5):7-10 [8] 牛树海, 金凤君, 刘毅.科技资源配置的区域差异[J].资源科学, 2004, 26(1):61-68 [9] 李蕾.西安市科技资源优化配置与创新体系建设研究[D].西北工业大学, 2004. [10] Derek deS Price. The science/technology relationship, the craft of experimental science, and policy for the improvement of high technology innovation[J]. Research Policy.1984(13). [11] Zvi Griliches. Chapter 25 Economic data issues[J]. Handbook of Econometrics. 1986(3):1465-1514. [12] Pelin Demirel, Mariana Mazzucato. Does market selection reward innovators?[J]The Open University. 2010, (7):1-26. [13] Paul M. Romer. Human capital and growth[J].Carnegie-Rochester Conference Series on Public Policy.1990(32):251-286. [14] Georghiou L. Issues in the evaluation of innovation and technology policy[J]. Evaluation, 1998, 4(1):37-51 [15] 刘和东. 财政科技投入与原始创新能力关系的实证研究[J].工业技术经济, 2009, 28(12):55-58. [16] 罗彦如, 冉茂盛, 黄凌云.中国区域技术创新效率实证研究—三阶段 DEA 模型的应用[J].科技进步与对策, 2010, 27(14):20-24. [17] 何庆丰, 陈武, 王学军.直接人力资本投入、R&D投入与创新绩效的关系—基于我国科技活动面板数据的实证研究[J].技术经济, 2009, 28(4):1-8. [18] 翁宏标, 王斌会. 我国R&D投入要素对专利生产的贡献度测算[J]. 科技管理研究, 2011(19):176-179. [19] 刘俊杰, 刘家铭.科技经费投入结构对区域创新能力的影响—基于全国30省市区面板数据的实证检验[J]. 广西师范大学学报, 2011, 47(5):18-23. [20] 许邦国, 朱慧.专利制度与经济增长关系的实证研究—基于专利制度测量指标体系的协整分析与因果检验[J]. 2012年度(第十届)中国法经济学论坛论文集, 2012:577-592.