DOI QR코드

DOI QR Code

국가 R&D 기술적 성과의 질적 효율성 분석에 관한 사례 연구 : 가축방역 분야를 중심으로

A Case Study on Qualitative Efficiency of National R&D Projects on Technical Performances : Focused on Livestock Quarantine

  • 김경수 (서울과학기술대학교 IT정책전문대학원) ;
  • 조남욱 (서울과학기술대학교 글로벌융합산업공학과)
  • Kim, Kyung-Soo (The Graduate School of Public Policy and Information Technology, Seoul National University of Science and Technology) ;
  • Cho, Nam-Wook (Department of Industrial and Information Systems Engineering, Seoul National University of Science and Technology)
  • 투고 : 2019.07.09
  • 심사 : 2019.11.13
  • 발행 : 2019.12.31

초록

Korea's R&D investment has significantly increased in recent years and the quantitative outputs such as number of papers and patents have also increased with the investment. However, the quality of R&D outputs has not been fully addressed. In particular, quality of technical performance, such as the quality of patents, has attracted little attention. In this paper, a Data Envelopment Analysis (DEA) method was used to construct models for efficiency analysis of R&D investment, focused on quality of technical performance. Indices were proposed to analyze the quantitative and qualitative efficiencies of R&D investment. In order to effectively analyze R&D efficiencies, the measurement units of the input and output variables were standardized. Based on cases of livestock quarantine R&D projects of Korea, the quantitative and qualitative efficiencies of national R&D projects were analyzed and factors that would influence R&D efficiencies were identified. This paper suggests that both quantitative and qualitative efficiencies should be considered when measuring R&D efficiency. Also, it is recommended to carefully consider the characteristics of R&D projects during project selection stage.

키워드

참고문헌

  1. Banker, R.D., Charnes, A., and Cooper, W.W., Estimating Most Productive Scale Size Using Data Envelopment Analysis, European Journal of Operational Research, 1984, Vol. 17, No. 1, pp. 35-44. https://doi.org/10.1016/0377-2217(84)90006-7
  2. Boussofiane, A., Dyson, R.G., and Thanassoulis, E., Applied Data Envelopment Analysis, European Journal of Operational Research, 1991, Vol. 52, No. 1, pp. 1-15. https://doi.org/10.1016/0377-2217(91)90331-O
  3. Chang, K.Y., R&D Investment and Project Performance : Research on Industrial R&D Programs of Government, Innovation Research, 2010, Vol. 18, No. 1, pp. 75-98.
  4. Charnes, A., Cooper, W.W., and Rhodes, E., Measuring Efficiency of Decision Making Units, European Journal of Operational Research, 1978, Vol. 1, No. 6, pp. 429-444. https://doi.org/10.1016/0377-2217(78)90138-8
  5. Choi, J.Y. and Kang, K.B., Factors that Influence the Technological Performance of National R&D Programs : in the Case of the Machinery and Chemical Technology R&D, Journal of Korea Technology Innovation Society, 2016, Vol. 19, No. 1, pp. 161-190.
  6. Fitzsimmons, J.A. and Fitzsimmons, M.J., Service Management for Competitive Advantage, McGrow-Hill, Inc., 1994.
  7. Han, Y.Y. and Kim, J,Y, Government Research and Development Budget Analysis in the FY 2019, KISTEP, 2019, p. 3.
  8. Hashimotoa, A. and Hanedab, S., Measuring the Change in R&D Efficiency of the Japanese Pharmaceutical Industry, Research Policy, 2008, Vol. 37, No. 10, pp. 1829-1836. https://doi.org/10.1016/j.respol.2008.08.004
  9. Hwang, S.W., Ahn, D.H., Choi, S.H., Kwan, S.H., Chun, D.P., Kim, A.R., and Park, J.H., Efficiency of National R&D Investment, STEPI, 2009, 2009-24.
  10. Kim, H.K., Kang, W.J. and Bae, J.H., Comparing Efficiencies of R&D Projects Using DEA : Focused on Industrial Technology Program, Society of Korea Industrial and Systems Engineering, 2015, Vol. 38, No. 3, pp. 126-132
  11. Kim, H.K., Kang, W.J., Park, J.H., and Yeo, I.K., Comparing Efficiencies of R&D Projects Using DEA : Focused on Core Technology Development Project, Society of Korea Industrial and Systems Engineering, 2013, Vol. 36, No. 3, pp. 126-132. https://doi.org/10.11627/jkise.2013.36.3.126
  12. Kim, H.Y. and Chung, S.Y., An Efficiency Analysis of Industry-University-Public Research Institute Collaborative Research-Employing the Input-Output Itemization Model, Korea Academy Industrial Cooperation Society, 2017, Vol. 18, No. 12, pp. 473-484.
  13. Kim, K.S. and Cho, N.W., A Case Study on Qualitative Efficiency of National R&D Projects : Focused on Agricultural Research Area, Journal of the Korea Society of Digital Industry and Information Management, 2018, Vol. 14, No. 3, pp. 115-125. https://doi.org/10.17662/ksdim.2018.14.3.115
  14. Kim, K.S. and Cho, N.W., Dynamic Analysis of National R&D Projects' Qualitative Efficiency, Journal of the Korea Society of Digital Industry and Information Management, 2019, Vol. 15, No. 1, pp. 9-20. https://doi.org/10.17662/KSDIM.2019.15.1.009
  15. Kim, T.H., Kim, I.H., Ahn, S.B., and Lee, K.S., A Way to Enhance Efficiency of Nuclear Program in Korean R&D Program by Data Envelopment Analysis, Journal of Korea Technology Innovation Society, 2009, Vol. 12, No. 1, pp. 74-81.
  16. KISTEP, 2017 Survey of Research and Development in Korea, Ministry of Science and ICT, 2019, p. 4.
  17. KISTEP, The 2016 Performance analysis Report of National R&D Program in Korea, 2018, p. 36.
  18. Ko, K.K., Theory of Efficiency Analysis, Moonwoosa, 2017, pp. 11-32.
  19. Lee, C.H. and Cho, K.T., Efficiency Analysis and Strategic Portfolio Model of National Health Technology R&D Program Using DEA : Focused on Translational Research, Journal of the Korean Institute of Industrial Engineers, 2014, Vol. 40, No. 2, pp. 172-183. https://doi.org/10.7232/JKIIE.2014.40.2.172
  20. Lee, S.C. and Lee, D.H., Analysis of the Change in R&D Efficiency in a Government-Funded Research Institute in Korea : Cumulative DEA/Malmquist Analysis Approach, Journal of the Korean Operations Research and Management Science Society, 2016, Vol. 41, No. 1, pp. 99-111. https://doi.org/10.7737/JKORMS.2016.41.1.099
  21. Lee, S.H., Kim, T.S., and Lee, H.Y., Measuring the Dynamic Efficiency of Government Research Institutes in R&D and Commercialization by DEA Window Analysis, Korean Management Science Review, 2015, Vol. 32, No. 4, pp. 193-207. https://doi.org/10.7737/KMSR.2015.32.4.193
  22. Lee, Y.K. and Lee, C.S., A Study on Establishment guide of Regional Information Fundamental Plan, Journal of the Korea Society of Digital Industry and Information Management, 2015, Vol. 1, No. 2, p. 100.
  23. Lim, Y.H. and Jeon, J.H., Analyzing the Performance of Defense R&D Projects based on DEA, Journal of the KIMST, 2019, Vol. 22, No. 1, pp. 106-123.
  24. Nam, I.S., Song, Y.Y., and Jeong, B.H., Analysis of Relative Efficiency of Government Funded Research Institutes Using DEA Model, Journal of Society of Korea Industrial and Systems Engineering, 2008, Vol. 31, No. 1, pp. 1-10.
  25. National Science and Technology Information Service, http://www.ntis.go.kr.
  26. Park, C.I. and Seo, H.J., The Efficiency and Productivity Change in the National R&D Projects of 6T Sectors, Journal of Industrial Economics and Business, 2018, Vol. 31, No. 1, pp. 293-325. https://doi.org/10.22558/jieb.2018.02.31.1.293
  27. Park, C.M. and Ku, B.C., An Analysis of Distributed Lag Effects of Expenditure by Type of R&D on Scientific Production : Focusing on the National Research Development Program, Journal of Korea Technology Innovation Society, 2016, Vol. 19, No. 4, pp. 687-710.
  28. Park, M.H., Efficiency and Productivity Analysis, Korean Academic Information, 2008, pp. 52-53.
  29. Park, S.J., Kim, K.H., and Jeong, S.K., The Study on the Analysis of Efficiency of Governmental R&D Programs Regarding to the S&T Outcomes, Journal of Korea Technology Innovation Society, 2011, Vol. 14, No. 2, pp. 205-222.
  30. SMART3, http://smart.kipa.org.
  31. Suk, K.Y., Selecting the Batters of National Baseball Squad using Data Envelopment Analysis, Journal of the Korea Academia-Industrial cooperation Society, 2014, Vol. 15, No. 1, pp. 165-172. https://doi.org/10.5762/KAIS.2014.15.1.165
  32. Um, I.C., Baek, C.W., and Hong, S.H., The Efficiency Analysis of National R&D Programs for Drug Development Using Range Adjusted Measure, Journal of Korea Technology Innovation Society, 2016, Vol. 19, No. 4, pp. 711-735.