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Measuring Efficiency of National R&D Programs within Nanotechnology Field Using DEA Model

DEA모형을 활용한 나노기술 분야 국가 R&D 과제의 효율성 분석

  • Bae, Seoung-Hun (Korea Institute of Science and Technology Information) ;
  • Kim, Jun-Hyun (Korea Institute of Science and Technology Information) ;
  • Yoon, Jin-Seon (Korea Institute of Science and Technology Information) ;
  • Kang, Sang-Kyu (Korea Institute of Science and Technology Information) ;
  • Shin, Kwang-Min (Korea Institute of Science and Technology Information) ;
  • Cho, Su-Ji (Department of Business Administration, Dankook University) ;
  • Lee, Ki-Kwang (Department of Business Administration, Dankook University)
  • 배성훈 (한국과학기술정보연구원) ;
  • 김준현 (한국과학기술정보연구원) ;
  • 윤진선 (한국과학기술정보연구원) ;
  • 강상규 (한국과학기술정보연구원) ;
  • 신광민 (한국과학기술정보연구원) ;
  • 조수지 (단국대학교 상경대학 경영학부) ;
  • 이기광 (단국대학교 상경대학 경영학부)
  • Received : 2016.03.24
  • Accepted : 2016.05.31
  • Published : 2016.06.30

Abstract

Recently, nanotechnology has grown as one of the leading science technology along with other converging technologies such as biology, information, medicine etc., bringing the continuous investment of the government in nano-related field. However, it is difficult to measure and evaluate the performance of the national research and development programs because of the multidimensional character of the expected outcomes. This study aims to measuring efficiency of the national nanotechnology research and development programs using DEA model. The decision making units are nine nano-related ministries including the Ministry of Science, ICT and Future Planning. The input variables are total expenditure, number of the programs and average expenditure per program. The output variables are science, technology and economic indicator, and the combination of these outputs are respectively measured as seven different DEA cases. The Ministry of Science, ICT and Future was the first efficient ministry in total technical efficiency. Ministry of Agriculture, Food and Rural Affairs and the Ministry of Food and Drug Safety were efficient in pure technical efficiency, when the Ministry of Commerce Industry and Energy took the first in the scale efficiency. The program efficiency was affected by organizational characteristics such as the institution's scale, the concentration of the research paper or the patent, technology transfer or the commercialization. The result of this study could be utilized in development of the policy in the nanotechnology and the related field. Furthermore, it could be applied for the modification of expenditure management or the adjustment of the research and development programs' input and output scale for each ministry.

Keywords

References

  1. Ahn, T., Efficiency and Related issues in higher education : A data envelopment analysis approach, [Ph.d., Thesis] : University of Texas at Austin, 1987.
  2. Banker, R.D., Charnes, A., and Cooper, W.W., Some models for estimating technical and scale inefficiencies in data envelopment analysis, Management Science, 1984, Vol. 30, No. 9, pp. 1078-1092. https://doi.org/10.1287/mnsc.30.9.1078
  3. Cerchye, L., Moesen, W., Rogger, N., and van Puyenbroeck, T., An Introduction to 'Benefit of the Doubt' Composite Indicators, Social Indicators Research, 2007, Vol. 82, No. 1, pp. 111-145. https://doi.org/10.1007/s11205-006-9029-7
  4. Charnes, A., Cooper, W.W., and Rhodes, E., Measuring the efficiency of decision making units, European Journal of Operational Research, 1978, Vol. 2, No. 6, pp. 429-444. https://doi.org/10.1016/0377-2217(78)90138-8
  5. Cho, G. and Jung, K.H., A Study on evaluating the efficiency of the photonics industry in Gwangju using a DEA Model, Journal of Korean Society for Quality Management, 2011, Vol. 39, No. 2, pp. 244-255.
  6. Chun, H. and Lee, H.Y., A DEA-based portfolio model for performance management of online games, Journal of the Korean Institute of Industrial Engineers, 2013, Vol. 39, No. 4, pp. 260-270. https://doi.org/10.7232/JKIIE.2013.39.4.260
  7. Farrell, M.J., The measurement of productive efficiency, Journal of the Royal Statistical Society, 1957, Vol. 120, No. A-3, pp. 253-281. https://doi.org/10.2307/2343100
  8. Han, D.O. and Hong, B.Y., Efficiency of University Libraries in Seoul by DEA, Journal of the Korean Library and Information Science Society, 2002, Vol. 36, No. 3, pp. 275-286. https://doi.org/10.4275/KSLIS.2002.36.3.275
  9. Hyun, M.S. and Yoo, W.J., A Study on the Technology Transfer Efficiency for Public Institutes Using DEA Model, Journal of the Society of Korea Industrial and Systems Engineering, 2008, Vol. 31, No. 2, pp. 94-103.
  10. Kim, J.H., Kim, H.S., Leem, B.N., and Yoon, J.H., Analyzing the national medical service efficiency of OECD countries using DEA and Malmquist productivity index, Journal of the Korean Operations Research and Management Science Society, 2012, Vol. 37, No. 4, pp. 125-138. https://doi.org/10.7737/JKORMS.2012.37.4.125
  11. Lee, J.D. and Oh, D.H., Theory of efficiency analysis- Data Envelopment Analysis, 1st ed. Seoul, Korea : JIPHIL MEDIA, 2012, pp. 1-34.
  12. Ministry of Science, ICT and Future Planning, The fourth Standard Performance Evaluation Index of National R&D Programs, Seoul, Korea, 2014.
  13. Ministry of Trade, Industry and Energy, Organization for Nano-convergence Industrial Cooperation, Korea Institute for Industrial Economics and Trade, Survey on Nano-converged Industry 2014, Seoul Korea, 2015.
  14. National Nanotechnology Policy Center, Korea Nanotechnology Annual 2014, Seoul, Korea, 2015.
  15. National Science and Tehcnology Commission, The Third Nanotehcnology Master Plan('11-'20), Seoul Korea, 2011.
  16. Park, C.J., Measuring production efficiency using Data Envelopment Analysis : The case of public corporation medical centers, Korean Journal of Health Policy and Administration, 1996, Vol. 6, No. 2, pp. 91-114.
  17. Seiford, L.M. and Thrall, R.M. Recent developments in DEA: the mathematical programming approach to frontier analysis, Journal of Econometrics, 1990, Vol. 46, No. 1-2, pp. 7-38. https://doi.org/10.1016/0304-4076(90)90045-U
  18. Yoo, G.S. and Kim, S.J., A Study on the operational efficiency of urban railway system based on data envelopment analysis, Seoul Studies, 2012, Vol. 13, No. 4, pp. 237-246.
  19. Yoo, K.R., Ranking analysis of efficient decision-making units in data envelopment analysis for evaluating the efficiency of the public sector, Korean Journal of Public Administration, 2006, Vol. 44, No. 1, pp. 155- 185.
  20. Yoon, J.S., Bae, S.H., Lim, J.S., Shin, K.M., Kang, S.K., and Kim, C.W., Survey Report on Nanotechnology Field Institutions in Korea 2013, 2014, National Nanotechnology Policy Center.

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