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

Autor: Wooseok Jang, Myoungjae Choi, Ohjin Kwon, DongKyu Won
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Sustainability, Vol 13, Iss 12547, p 12547 (2021)
ISSN: 2071-1050
Popis: 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.
Databáze: OpenAIRE