DOI QR코드

DOI QR Code

A Study on Efficiency Analysis of the National Research Council of Science & Technology's Convergence Research Projects according to the Qualitative Value Evaluation: Based on the KBSI's case studies Using DEA

국가과학기술연구회 융합연구사업의 연구성과에 대한 질적가치평가에 따른 효율성 분석: DEA를 활용한 한국기초과학지원연구원의 사례를 중심으로

  • Received : 2020.09.01
  • Accepted : 2020.11.20
  • Published : 2020.11.28

Abstract

The purpose of this study is to analyze the relative efficiency of the research results of the convergence research project (CAP, Convergence Research Center) and general trust research project under the auspices of the NST, as the qualitative assessment of the government's R&D investment has recently been emphasized. To achieve this objective, DEA, which is widely used for the relative efficiency of research results, was used. The analysis targets were focused on the case of the KBSI, and the quantitative assessment of the number of papers and patent applications using net research and labor costs as input indicators for the DEA was compared and analyzed through IF of the paper and SMART3 of the patent. The analysis results showed that convergence research projects were highly efficient from a qualitative perspective in terms of CCR standards and BCC standards. This suggests that convergence research is being conducted at a higher level than general entrusted research. As a result of this study, we would like to present the criteria for qualitative assessment, which the government has recently emphasized, and expand this study to provide implications for planning policies and research tasks for rational R&D investment choices for human resources and research funds by assessing the efficiency of qualitative perspectives on all institutions in the future.

본 연구의 목적은 최근 정부 R&D투자에 대한 질적인 평가가 강조됨에 따라, 국가과학기술연구회 주관 융합연구사업(창의형융합연구사업, 융합연구단사업)과 일반수탁연구사업의 연구 성과에 대해 정성적 관점에서 상대적 효율성을 분석하는 것이다. 이러한 목적을 달성하기 위해 연구 성과의 상대적 효율성을 광범위하게 사용되고 있는 DEA를 활용하였다. 분석대상은 한국기초과학지원연구원의 사례를 중심으로 진행하였으며, DEA를 위한 투입지표로 순연구비 및 인건비를 활용하여 논문 및 특허출원 수에 대한 정량적인 평가와 논문의 IF 및 특허의 SMART3를 통한 정성적인 평가를 비교분석 하였다. 분석결과 CCR가준 및 BCC기준에서 정성적인 관점에서 융합연구사업이 높은 효율성을 나타냈다. 이는 융합연구가 일반 수탁연구 보다 높은 수준의 연구가 이루어지고 있다는 것을 시사한다. 본 연구의 결과로 최근 정부에서 강조하고 있는 질적 평가에 대한 기준을 제시하고, 아울러 본 연구를 확대하여 향후 모든 기관에 대한 정성적 관점의 효율성 평가를 통해 인력과 연구비의 합리적인 R&D 투자선택에 위한 정책 및 연구과제기획에 시사점을 제공하고자 한다.

Keywords

References

  1. S. Y. Jung. (2005). A Study on the Functional Adjustment and Development of National Research Council of Science & Technology and Government-funded research institute. KISTEP-ESSAY, 38-43.
  2. National Research Council of Science & Technology Website : https://www.nst.re.kr/nst/work/02_01.jsp
  3. S. J. Park, K. H. Kim & S. K. Jeong. (2011). The Study on the Analysis of Efficiency of Governmental R&D Programs Regarding to the S&T Outcomes, Journal of the Institute of Technology and Innovation, 14(2), 205-222.
  4. H. Y. Lee & Y. T. Park. (2005). An International Comparsion of R&D Efficiency DEA Approach. Asian Jounal of Technology 13(2), 207-222.
  5. S. C. Lee & D. H. Lee. (2016). Analysis of the Change in R&D Efficiency in a Government-Funded Research Institute in Korea : Cumulative DEA/Malmquist Analysis Approach. Korean management Review, 41(1), 99-111.
  6. S. H. Lee. (2016). Comparative evaluation of the R&D performance of government research institutes using DEA. Doctoral dissertation.Seoul National University OF Science & Technology, Seoul.
  7. S. K. Jung. (2013). Efficiency Analysis of Public Library by DEA Cost. Minimization. The Journal of Cultural Policy, 27(2), 145-163.
  8. J. H. Cho. (2018). The Study on Convergence Research Efficiency of Government-Funded Research Institute. Doctoral dissertation. Korea University, Seoul.
  9. N. G. Cho. (2018). Analysis of R&D Efficiency for Small and Medium Enterprises using DEA. The Journal of Intellectual Property, 13(2), 207-236. https://doi.org/10.34122/jip.2018.06.13.2.207
  10. H. G. Yuk, J. Y. Kang, K. B. Pae & D. S. Kang. (2020). A Study on the Research Performance and Efficiency of Convergence Research Projects sponsored by National Research Council of Science & Technology, The Journal of the korea Convergence Society, 11(3), 211- 218. https://doi.org/10.15207/JKCS.2020.11.3.211
  11. J. Liu, Y. Gong, J. Zhu & J. Zhang. (2018). A DEA-based approach for competitive environment analysis in global operations strategies. The International Journal of Production Economics, 203, 110-123. https://doi.org/10.1016/j.ijpe.2018.05.029
  12. Korea basic science institute Website : https://www.kbsi.re.kr/introduce03
  13. National Research Council of Science & Technology Website : https://www.nst.re.kr/nst/popup/popup_work_CEVI.jsp
  14. National Research Council of Science & Technology Website : https://www.nst.re.kr/nst/popup/popup_work_CiM.jsp
  15. H. Y. Lee, H. G. Choi & Y. T. Park. (2009). Comparative evaluation of performance of national R&D programs with heterogeneous objectives: A DEA approach.European. The Journal of Operational Research, 196(3), 847-855. https://doi.org/10.1016/j.ejor.2008.06.016
  16. A. Charnes et al. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444. https://doi.org/10.1016/0377-2217(78)90138-8
  17. G. S. Seo & H. M Ahn. (2016). Urban railway train operation efficiency studies using DEA. 3-4. [KSR2016A085]. http://railway.or.kr/Papers_Conference/201611/pdf/KSR2016A085.pdf
  18. G. R. Yu. (2004). The Measurement and Evaluation of Public Sector Efficiency of the Public Sector. Seoul : Daeyoung-Munhwasa.
  19. R. D. Banker, A. Charnes & W. W. Cooper. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management science, 30(9), 1078-1092. https://doi.org/10.1287/mnsc.30.9.1078
  20. J. .D. Lee & D. H. Oh. (2010). Efficiency Analysis: DEA. Seoul : ibBOOK.
  21. J. H Ma. (2015). A Study on the Multi-Term Management Efficiency of Korean Online Shopping Companies Using the DEA and Malmquist Productivity Index. Journal of Distribution Science, 13(4), 45-53. https://doi.org/10.15722/jds.13.4.201504.45
  22. OECD. (2001). OECD Science, Technology, and Industry Scoreboard. OECD. Paris.
  23. J. C. Paradi, S. Smith & C. Schaffnit-Chatterjee. (2002). Knowledge workerperformance analysis using DEA: An application to engineering design teams at Bell Canada. IEEE Transactions on Engineering Management, 49(2), 161-172. https://doi.org/10.1109/TEM.2002.1010884