Knowledge Discovering on Graphene Green Technology by Text Mining in National R&D Projects in South Korea

Ji Yeon Lee, Richa Kumari, Jae Yun Jeong, Tae-Hyun Kim and Byeong-Hee Lee
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Ji Yeon Lee: Department of Science and Technology Management Policy, University of Science and Technology, Daejeon 34113, Korea
Richa Kumari: Department of Science and Technology Management Policy, University of Science and Technology, Daejeon 34113, Korea
Jae Yun Jeong: Policy Research Division, Busan Innovation Institute of Industry, Science & Technology, Busan 48058, Korea
Tae-Hyun Kim: NTIS Center, Korea Institute of Science and Technology Information, Daejeon 34113, Korea
Byeong-Hee Lee: Department of Science and Technology Management Policy, University of Science and Technology, Daejeon 34113, Korea

Sustainability, 2020, vol. 12, issue 23, 1-16

Abstract: This paper reviews the development of South Korea’s national research and development (R&D) in graphene technology, focusing on projects that have been classified as “green” technology. A total of 826 projects (USD 210 billion) from 2010 to 2019 were collected from the National Science and Technology Information Service (NTIS), which is full-cycle national R&D project management system in South Korea. Then we analyzed its R&D trend by conducting diverse text mining methods including frequency analysis, association rule mining, and topic modeling. The analysis suggests that the number of graphene green technology (GT) R&D projects and the research expenses will show a rising curve again in the incumbent government along with the implementation of the Korean New Deal policy, which integrates the Green New Deal and the Digital New Deal.

Keywords: green new deal policy; association rules; topic modeling; National Science and Technology Information Service; project management (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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