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Analyzing the Efficiency of National 6T R&D Projects by Two-stage Network DEA Approach

첨단산업기술(6T) 연구개발사업의 효율성 분석: 2단계 네트워크 DEA 접근의 적용

  • Nam, Hyundong (Graduate School of Governance, Sungkyunkwan University) ;
  • Nam, Taewoo (Graduate School of Governance, Sungkyunkwan University)
  • 남현동 (성균관대학교 국정전문대학원) ;
  • 남태우 (성균관대학교 국정전문대학원)
  • Received : 2021.08.11
  • Accepted : 2021.09.15
  • Published : 2021.09.30

Abstract

Scientific and technological performances (e.g., patents and publications) made through R&D play a pivotal role for national economic growth. National governments encourage academia-industry cooperation and thereby pursue continuous development of science technology and innovation. Increasing R&D-related investments and manpower are crucial for national industrial development, but evidence of poor performance in business performance, efficiency, and effectiveness has recently been found in Korea. This study evaluates performance efficiency of the 6T sector (Information Technology, Bio Technology, Nano Technology, Space Technology, Environment Technology, Culture Technology), which is considered a high-potential promising industry for the next generation growth and currently occupies two thirds of the national R&D projects. The study measures the relative efficiency of R&D in a comparative perspective by employing the Data Envelopment Analysis (DEA) method. The result reveals overall low efficiency in basic R&D (0.2112), applied R&D (0.2083), development R&D (0.2638), and others (0.0641), confirming that economic performance and efficiency were relatively poor compared to production efficiency. Efficient R&D needs policy makers to create strategies that can increase overall efficiency by improving productivity performance and quality while increasing economic performance.

Keywords

Acknowledgement

This study was supported by Ministry of Education of Republic of Korea and National Research Foundation of Korea (BK21FOUR Toward Empathic Innovation: Through Platform Governance Education & Research Programs: #4199990114294).

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