Study on Interactive relationship of different sources of R&D input and S&T output based on panel data and Panel VAR Model

Yu Liping

Science Research Management ›› 2013, Vol. 34 ›› Issue (10) : 94-102.

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Science Research Management ›› 2013, Vol. 34 ›› Issue (10) : 94-102.

Study on Interactive relationship of different sources of R&D input and S&T output based on panel data and Panel VAR Model

  • Yu Liping
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Abstract

This paper establishes a study framework based on the analysis of the interactive influence mechanism of S&T input and output, then analyzes the Interactive relationship between S&T input and output based on panel data, Granger causality, pane VAR model, focusing on the performance research of funds from different financing channels. The research results show that the government S&T input has a certain rigidity and relative independence and cannot drive the enterprise S&T input. The enterprise S&T input and the S&T bank loan combine relatively more closely. The S&T output has greatly promoted the enterprise S&T input and the feedback to other elements is small. From the perspective of the factor contribution, the elastic coefficient of the government S&T input is greater than that of the enterprise S&T input while the elastic coefficient of the S&T bank loan is negative and the R&D labor is independent of the S&T output.

Key words

bank loans / S&T input / panel data / panel VAR model

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Yu Liping. Study on Interactive relationship of different sources of R&D input and S&T output based on panel data and Panel VAR Model[J]. Science Research Management. 2013, 34(10): 94-102

References

[1] Kenneth Ja. The Economic Implications of Learning by Doing[J]. Review of economic studies, 1962(29):155-173. [2] Paulmr. Increasing returns and long run growth[J]. Journal of political economy, 1986(94):1002-1037. [3] Hitt, Hosdisson, Johnson,Moesel. The market for corporate control and firm innovation[J]. Academy of management journal, 1996,39 (5): 1084-1119. [4] Griliches Z. Issues in Assessing the Contribution of R&D to Productivity Growth [J]. Bell Journal of Economics, 1979, 10 (1):92-116. [5] Griliches Z. Market Value, R&D, and Patents [J]. Economics Letters, 1981, 7 (2): 183-187. [6] Lev B., Sougiannis T. The capitalization, amortization and value relevance of R&D[J].Journal of Accounting and Economics.1996,21(1):107-138. [7] Rousseau S.,Rousseau R.Data Envelopment Analysis as a Tool for Constructing Scientometric[J]. Scientometrics, 1997,40(1):45-56. [8] Jeff P.Boone, Raman K.K. Off-balance sheet R&D assets and market liquidity[J].Journal of Accounting and Public Policy.2001,20(2):97-128. [9] Hall B.H, Griliches Z, Hausman J.A. Patents and R&D: Is there a lag? [J]. International Economic Review, 1986,27(2): 265-283. [10] Inonu E. The Influence of Cultural Factors on Scientific Production[J]. Scientometrics, 2003, 56(1):137-146. [11] Marcia Belcher. What is Institutional Assessment?[J]. Assessment News,1995(1):11-13. [12] Cooper R,Edgett S,Kleinschmidt E. Portfolio management in new product development[J]. Research Technology Management,1997(5):16-28. [13] 李惠娟,朱福兴. 地方财政科技投入与科技创新的动态分析[J]. 科技管理研究,2008(3):59-61. [14] 江涛,傅新红,蒋谦. 四川省财政科技投入与自主创新关系的协整分析[J]. 科技管理研究,2008(12):27-29. [15] 程华,肖小波,倪梅娟. 政府科技投入对企业R&D投入的影响及因果分析[J]. 浙江理工大学学报,2008(2):219-222. [16] 余昕,王冬,韩楠,王欣. 发达国家科研投入效率初探[J]. 科技进步与对策,2007(8):129-131. [17] 李燕萍,郭玮,黄霞. 科研经费的有效使用特征及其影响因素[J]. 科学学研究,2009(11):1685-1691. [18] 丁宁宁,王红梅. 高校论文成果与科研投入之间关系的实证研究[J]. 山东经济,2008(1):143-146. [19] 赵正洲,王鹏. 高等农业院校科研投入产出的定量研究[J]. 科技进步与对策,2005(2):145-147. [20] 徐凯,高山行. 中国高等院校科研投入——产出研究[J]. 研究与发展管理,2008(2):97-101. [21] 李涛,黄晓蓓,王超. 企业科研投入与经营绩效的实证研究[J]. 科学学与科学技术管理,2008(7):170-174. [22] 谢亚兰. 美国世界一流大学科研经费投入与产出相关性实证研究[J]. 高教探索,2008(5):51-54. [23] 余文盛. 新建本科院校科研经费投入与产出的灰色关联分析[J]. 四川文理学院学报,2010(1):53-57. [24] Huang C L,Yoon K.Multiattribute decision making:methods and applications[M].NY:springer-Verlag,1981:12-34.
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