Identifying the Policy Direction of National R&D Programs Based on Data Envelopment Analysis and Diversity Index Approach

Myoungjae Choi, Ohjin Kwon, Dongkyu Won and Wooseok Jang
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Myoungjae Choi: Data & High Performance Computing Science, Korea Institute of Science and Technology Information, University of Science and Technology (UST), Daejeon 34141, Korea
Ohjin Kwon: Department of Open Data Convergence Research, Korea Institute of Science and Technology Information, Busan 48059, Korea
Dongkyu Won: Division of Data Analysis, Korea Institute of Science and Technology Information, Seoul 02456, Korea
Wooseok Jang: Division of Data Analysis, Korea Institute of Science and Technology Information, Seoul 02456, Korea

Sustainability, 2021, vol. 13, issue 22, 1-17

Abstract: The Korean government has been continuously conducting diverse national R&D programs to discover new growth engines. The Republic of Korea is one of the countries with the largest investment in national R&D, but its efficiency was relatively low. In response, this study established a framework to identify the characteristics and direction of outstanding R&D programs. In this study, the performance of the R&D programs was identified in the sub-program unit. The efficiency of the national R&D program was analyzed using the data envelopment analysis model through the outputs of the national R&D programs such as papers and patents. However, patent and paper output would take time to be realized. Therefore, this study also calculated the diversity index of R&D programs to identify their potential expected performance. This study applied the suggested framework in the electric vehicle fields, which is one of the core growth engines of South Korea. A list of outstanding programs was identified from the National Institute of Science and Technology Information (NTIS) data. Additionally, this study also discovered the main technology areas and their current issues of outstanding and brand-new R&D programs. These results could contribute to suggesting the policy direction to conduct high-performance national R&D programs.

Keywords: research development program; national research efficiency; data envelopment analysis; diversity index; data analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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