DOI QR코드

DOI QR Code

A Study on the Scope of Government R&D Planning : Focused on the Energy and Resources Production Technology

R&D기획의 범위에 대한 고찰 : 에너지·자원 생산기반기술을 중심으로

  • Received : 2012.06.05
  • Accepted : 2012.10.18
  • Published : 2012.10.28

Abstract

The purpose of this study is to emphasize the necessity of extention of a government R&D planning scope. Presently, government R&D planning is focused on the selecting a R&D project. There is no R&D strategy for R&D conducting such as the composition of R&D team, collaboration and knowledge flow. Ordinarily these strategies are established by research director. This study analyzed the determinants of excellent R&D performance and proposed R&D strategy for R&D conducting using the patent bibliograpy information in energy resources production technology field. On the other hand, this study introduced the concept of technology lifecycle and showed that R&D strategy should be differentiated by technology lifecycle.

본 연구는 우수한 R&D성과의 창출을 유인하기 위하여 정부 R&D기획의 범위를 확장할 필요가 있음을 보이고자 하였다. 현재 정부 R&D기획은 과제발굴에 초점이 맞춰져 있다. 연구팀의 구성, 공동연구, 지식유입 전략 등 R&D수행에 대한 개략적인 가이드가 없으며 연구책임자의 재량에 따라 전략이 수립되고 있다. 본 연구에서는 에너지 자원 생산기반 기술분야 특허의 서지정보를 활용하여 우수한 R&D성과를 유인할 수 있는 R&D수행과 관련한 전략을 제시하고자 하였다. 한편, 기술수명주기에 대한 개념을 도입하여 R&D수행과 관련한 전략 수립이 기술개발단계별로 차별화 되어야 함을 동시에 보이고자 하였다.

Keywords

References

  1. Cameron, A.C. and Trivedi, P.K. (1986) Econometric Models Based on Count Data: Comparisons and Applications of Some Estimators and Tests. Journal of Applied Econometrics, v.1, p.29-53. https://doi.org/10.1002/jae.3950010104
  2. Daines, G. (2007) Patent citations and licensing value. MBA Thesis, MIT, USA.
  3. Fung, M. and Chow, W. (2002) Measuring the intensity of knowledge flow with patent statistics. Economics letters, v.74, p.353-358. https://doi.org/10.1016/S0165-1765(01)00558-4
  4. Hausman, J., Hall, B.H. and Griliches, Z. (1984) Econometric Models for Count Data with an Application to the Patents-R & D Relationship. Econometrica, v.52, p.909-938. https://doi.org/10.2307/1911191
  5. Hirschey, M. and Richardson, V. (2001) Valuation effects of patent quality: A comparison for Japanese and US firms. Pacific-Basin Finance Journal, v.9, p.65-82. https://doi.org/10.1016/S0927-538X(00)00038-X
  6. Hirschey, M. and Richardson, V. (2004) Are scientific indicators of patent quality useful to investors? Journal of Empirical Finance, v.11, p.91-107. https://doi.org/10.1016/j.jempfin.2003.01.001
  7. Jaffe, A., Trajtenberg, M. and Henderson, R. (1993) Geographic localization of knowledge spillovers as evidenced by patent citations. The Quarterly Journal of Economics, v.108, p.577-598. https://doi.org/10.2307/2118401
  8. Jang, T.Y. (2004) Application of regression model of count data for Traffic accident analysis. KRF, Korea, p.2-4.
  9. JIPA (1986) Patent information analysis from portfolio approach. Intellectual Property Management, v.36, p.187-192.
  10. KISTEP (2009), Research performance of government R&D program in Korea, 2008. KISTEP, Korea
  11. KIPO (2008) Patent trend for energy resources producion technology. KIPO, Korea, p.23-162
  12. KIPO (2010) Patent performance of government R&D program in Korea, 2010. KIPO, Korea, p.155-156.
  13. Lanjouw, J. and Schankerman, M. (2004) Patent Quality and Research Productivity: Measuring Innovation with Multiple Indicators. The Economic Journal, v.114, p.441-465. https://doi.org/10.1111/j.1468-0297.2004.00216.x
  14. Lee, H.C. and Han, J.Y. (2004) Determinants of visitors' demand for exhibition: An application of truncated count data model. Journal of Tourism Sciences, v.28, p.307-326.
  15. Lee, S.D. and Jang, B.Y. (2010) Understanding the government R&D planning system. KIAT, Korea, p.9-11.
  16. Lee, Y., Lee, J., Song, Y. and Lee, S. (2007) An in-depth empirical analysis of patent citation counts using zeroinflated count data model: The case of KIST. Scientometrics, v.70, p.27-39. https://doi.org/10.1007/s11192-007-0102-z
  17. Maurseth, P. and Verspagen, B. (2002) Knowledge spillovers in Europe: a patent citations analysis. The Scandinavian Journal of Economics, v.104, p.531-545. https://doi.org/10.1111/1467-9442.00300
  18. Park, J.K. and Heo, E. (2010) Analyzing the Determinants of the Patent Quality in Fuel Cell and Solar Cell Technology Using Count Data Models. Journal of Korea Technology Innovation Society, v.13, p.365-378.
  19. Roussel, P. (1984) Technological maturity proves a valid and important concept. Research Management, v.27, p.29-34.
  20. Sampat, B. and Ziedonis, A. (2005) Patent citations and the economic value of patents. Handbook of Quantitative Science and Technology Research, p.277-298.
  21. Trajtenberg, M. (1990) A penny for your quotes: patent citations and the value of innovations. The Rand Journal of Economics, v.21, p.172-187. https://doi.org/10.2307/2555502
  22. Yoo, S.H. and Yang, C.Y. (2005), Using the count data model to analyze the number of marine pollution accidents. Ocean Policy Research, v.20, p.33-56.