基于SVAR模型的自主创新投入产出动态效应分析—以我国大中型工业企业为例

卢方元, 李小鸽

科研管理 ›› 2014, Vol. 35 ›› Issue (1) : 25-32.

科研管理 ›› 2014, Vol. 35 ›› Issue (1) : 25-32.
论文

基于SVAR模型的自主创新投入产出动态效应分析—以我国大中型工业企业为例

  • 卢方元, 李小鸽
作者信息 +

A dynamic analysis of innovation inputs and outputs based on SVAR model—A case study of China's large and medium industrial enterprises

  • Lu Fangyuan, Li Xiaoge
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文章历史 +

摘要

在平稳性检验、协整检验、格兰杰因果检验的基础上,建立SVAR模型。利用脉冲响应和方差分解技术对我国大中型工业企业的自主创新投入与产出进行实证分析。结果表明:自主创新经费投入强度、R&D人员投入强度和生产设备投入能力与创新产出之间存在着长期均衡的关系;R&D经费投入强度冲击、R&D人员投入强度冲击和生产设备投入能力冲击都会对自主创新产出产生正向的影响,其中生产设备投入能力的贡献最大,其次为R&D人员投入强度;R&D经费投入强度的增加对创新产出的影响具有长期的滞后性。

Abstract

This paper establishes the SVAR model based on the stationary test, co-integration test and Granger causality test, and makes an empirical analysis on Chinese LME independent innovation input-output using the impulse response and variance decomposition technology. The results show that the R&D investment intensity, R&D personnel investment intensity and production equipment input capability have a long-term equilibrium relationship with the innovation output. The shocks which come from the R&D investment intensity, R&D personnel investment intensity and production equipment input capability have a positive impact on the independent innovation output, and the production equipment input capability contributes the most while the R&D personnel investment intensity ranks the second in the contribution. However, there exists a long-term lagging between the increment of R&D investment intensity and its effect on the innovation output.

关键词

自主创新投入 / 自主创新产出 / SVAR模型 / 脉冲响应 / 方差分解

Key words

independent innovation inputs / independent innovation outputs / SVAR model / impulse response / variance decomposition

引用本文

导出引用
卢方元, 李小鸽. 基于SVAR模型的自主创新投入产出动态效应分析—以我国大中型工业企业为例[J]. 科研管理. 2014, 35(1): 25-32
Lu Fangyuan, Li Xiaoge. A dynamic analysis of innovation inputs and outputs based on SVAR model—A case study of China's large and medium industrial enterprises[J]. Science Research Management. 2014, 35(1): 25-32
中图分类号: F403.8   

参考文献

[1] Jefferson, Gary H, Bai Huamao, Guan Xiaojing and Yu Xiaoyun. R&D performance in Chinese industry [J]. Economics of Innovation and New Technology, 2004, 13(1/2).
[2] Zhang Anming, Zhang Yimin and Zhao Ronald. A study of the R&D efficiency and productivity of Chinese firms [J]. Journal of Comparative Economics, 2003(3):444-464.
[3] 何玮.我国大中型工业企业研究与开发费用支出对产出的影响——1990—2000年大中型工业企业数据的实证分析[J].经济科学,2003(3): 5-11.He Wei. Empirical analysis of China's large and medium industrial enterprises in R & D expenditure on output - based on the data of medium-sized industrial enterprises in 1990-2000 [J]. Economic Science, 2003(3): 5-11.
[4] 陈健,毛霞.我国大中型工业企业技术创新的投入与产出分析[J].科学学与科学技术管理,2002(6):53-56.Cheng Jian, Mao Xia. Analysis on China's large and medium industrial enterprises in technological innovation input and output [J]. Science of Science and Management S&T,2002(6):53-56.
[5] 刘和东,梁东黎. R&D投入与自主创新能力关系的协整分析——以我国大中型工业企业为对象的实证研究[J].科学学与科学技术管理,2006(8):21-25.Liu He-dong, Liang Dong-li. Cointegration analysis on the relationship of R & D investment and innovation capacity - empirical research targeted at Medium-sized industrial enterprises in China [J]. Science of Science and Management S&T, 2006(8):21-25.
[6] 高楠.大中型企业R&D投入与创新绩效灰色关联度分析——基于河北省和全国的比较[J].现代商贸工业,2010(6):1-2.Gao Nan. Grey relational analysis on medium-sized enterprises R & D investment and innovation performance -based on a comparison in Hebei province and the country[J]. Modern Business Trade Industry,2010(6):1-2.
[7] 吴延兵.R&D存量、知识函数与生产效率[J].经济学,2006(7):1129-1156.Wu Yan- bing. R & D stock, knowledge function and productivity [J]. Economics,2006(7):1129-1156.
[8] 朱平芳,朱先智.企业创新人力投入强度规模效应的分位点回归研究[J].数量经济技术经济研究,2007(3):69-80.Zhu Ping-fang, Zhu Xian-zhi. Sub-sitesregression on investment in innovation intensity scale of human[J]. Quantitative & Technical Economics,2007(3):69-80.
[9] 彭建平,张建华.大中型工业企业科技活动支出效果经验分析[J].当代财经,2008(1):60-65.Peng Jian-ping, Zhang Jian-hua. Experience analysis on the expenditures effects of medium-sized industrial enterprises in science and technology [J]. Contemporary Finance & Economics,2008(1):60-65.
[10] 唐清泉,卢博科,袁莹翔.工业行业的资源投入与创新效率——基于中国大中型工业部门的研究[J].数量经济技术经济研究,2009(2):3-17.Tang Qing-quan, Lu Bo ke, Yuan Ying-xiang. Resources investment and innovative efficiency of industrial sectors - based on the Chinese large and medium industrial sector research [J]. Quantitative & Technical Economics,2009(2):3-17.
[11] Sims C. A. Macroeconomics and reality [J].Econometrica,1980,Vol.48: l-48.
[12] Thomas F.Cooley and Stephen f Leroy. A theoretical macroeconometrics: A critique [J]. Journal of Monetary Economics,Volume 16, Issue 3, November 1985: 283-308.
[13] Blanchard O. J and D. T Quah. The dynamic effects of aggregate demand and supply disturbances [J]. The American Economic Review, 1989, 79 (4): 655-673.
[14] William H.Green.计量经济分析(第五版下)[M].中国人民大学出版社,2007(1):646-651. William H.Green. Econometric analysis(the Fifth Edition)[M]. Renmin University of China Press,2007(1):646-651.

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