Journal of the Korea Academia-Industrial cooperation Society (한국산학기술학회논문지)

The Korea Academia-Industrial cooperation Society (한국산학기술학회)
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A Study on the Research Trends in International Trade using Social Network Analysis

사회연결망 분석을 활용한 무역 분야 연구동향 분석

  • Lee, Jee-Hoon (Department of Business Administration, Sejong University)
  • Received : 2020.09.17
  • Accepted : 2020.11.06
  • Published : 2020.11.30
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Abstract

This study used social network analysis to analyze trends and the knowledge structure of research in international trade. To this end, 4,840 keywords were extracted and analyzed from 1,797 papers contained in the Journal of Int'l Trade and Industry Studies, the Korea Trade Review, and the Journal of Korea Trade from 2003 to 2019. The results reveal that the distribution of keywords in the trade studies, as with other intellectual networks, followed a power-law distribution. Some differences were observed in the top 20 keywords across journals, with total factor productivity, economic growth, and Korea-US FTA ranking high only in the Journal of Int'l Trade and Industry Studies. Global value chain and trust emerged as a topic that attracted new researchers' attention in the 2011-2019 period. Interest in E-Trade, WTO, and internationalization has declined in recent years. The conventional international trade research trend analyses have predominantly featured qualitative analysis by descriptive method in general, but this study is meaningful in that it employs quantitative analysis using social network analysis techniques.

본 연구에서는 사회연결망 분석 기법을 활용해 무역 분야 연구의 동향과 지식구조를 입체적으로 파악했다. 이를 위해 2003년부터 2019년까지 국제통상연구, 무역학회지, Journal of Korea Trade의 3개 학술지에 수록된 1797개의 논문에서 4840개의 주제어를 추출해 분석을 실시했다. 분석 결과, 무역 연구의 주제어 분포는 다른 지적 네트워크와 마찬가지로 뚜렷한 멱함수 분포를 나타냈다. 학술지에 따라 상위 주제어에 다소의 차이가 나타났는데, Total Factor Productivity, Economic Growth, Korea-US FTA는 국제통상연구에서만 상위에 랭크됐다. Global Value Chain, Trust는 2011~2019년 기간에 새롭게 연구자들의 관심을 끈 주제어로 부상한 것으로 나타났다. E-Trade, WTO, Internationalization은 관심도가 근년에 올수록 줄어들었다. 기존 무역 분야 연구동향 분석은 서술적 방법에 의한 질적 분석이 대종을 이뤘으나, 본 연구는 사회 연결망 분석 기법을 활용한 양적 분석이라는 점에 의미가 있다.

Keywords

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