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

Abstract

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.

Key words: independent innovation inputs, independent innovation outputs, SVAR model, impulse response, variance decomposition

CLC Number:

F403.8

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.

References

[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.