Journal of Navigation and Port Research (한국항해항만학회지)

Korean Institute of Navigation and Port Research (한국항해항만학회)
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Study of Korea Import and Export networks and Cohesion Analysis

SNA를 이용한 국내 수출입 네트워크 구조와 응집성 분석

  • Joo-Hye Kim (Logistics System Engineering, Korea Maritime and Ocean University) ;
  • Jeong-Min Lee (Department of Convergence Interdisciplinary Education of Maritime & Ocean Contents, Korea Maritime and Ocean University) ;
  • Kim Yul-Seong (Logistics System Engineering, Korea maritime and Ocean University)
  • 김주혜 (국립한국해양대학교 물류시스템공학과) ;
  • 이정민 (국립한국해양대학교 해양컨텐츠융복합과정 물류시스템공학전공) ;
  • 김율성 (국립한국해양대학교 물류시스템공학과)
  • Received : 2024.04.16
  • Accepted : 2024.05.29
  • Published : 2024.06.30
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Abstract

Ports play a crucial role in the complex global supply chain. While many researchers have used social network analysis (SNA) to study active networks, there is a lack of SNA cohesion analysis specifically related to logistics and trade. Therefore, this study aims to identify time-series structural changes in all domestic import and export logistics networks, including regions, ports, and airports, by utilizing techniques such as k-core and community analysis. To carry out this analysis, we rely on data from the Korea Customs Service's Import and Export Logistics Statistical Yearbook spanning from 2004 to 2022. The findings from the k-core and community analysis indicate that the cohesion of the domestic import and export logistics network has continuously strengthened over time. Moreover, it reveals that regions, ports, and airports are becoming more cohesive and homogeneous, with Busan Port emerging as the central hub of a large community. These insights are expected to enhance our understanding of global logistics dynamics and contribute to the development of policies and sustainable import and export logistics processes.

글로벌 공급사슬망 내 항만은 서로 복합한 물류 네트워크시스템을 형성하고 있다. 많은 연구자들은 SNA분석을 활용하여 물류 네트워크, 무역 네트워크, 그리고 해상 네트워크 등 활발한 네트워크 관련 연구를 진행해 왔다. 그러나, 기존의 SNA분석에 비해 물류 및 무역과 관련된 SNA 응집성 분석은 미비한 편이다. 따라서, 본 연구는 SNA 응집성 분석기법 중 핵심집단 분석과 커뮤니티 분석을 활용하여 지역, 항만, 공항을 포함한 모든 국내 수출입 물류 네트워크의 시계열적인 구조변화 양상에 대해 파악하고자 한다. 이를 위해 본 연구에서는 2004년부터 2022년까지의 관세청 수출입물류통계연보 자료를 활용하였다. 본 연구의 결과는 다음과 같다. 핵심집단과 커뮤니티 분석 결과, 국내 수출입 물류 네트워크 응집성은 지속적으로 강화되고 있었으며 지역, 항만, 공항의 결속구조가 높아지고 동질적 형태가 증가하고 있음을 확인하였다. 또한, 부산항이 주요 커뮤니티의 중심인 것을 확인하였다. 이를 통해 글로벌 물류환경의 과정을 이해하고, 물류 및 무역 관련 정책과 지속 가능한 수출입 물류 프로세스를 구축하는데 도움이 될 것으로 기대된다.

Keywords

Acknowledgement

본 논문(또는 저서)는 해양수산부 제4차 해운항만물류 전문인력양성사업의 지원을 받아 수행한 연구임.

References

  1. Bock, R. D. and Husain, S. Z.(1950), "An Adaptation of Holzinger's B-Coefficients for the Analysis of Sociometric Data", Sociometry, Vol. 13, No. 2, pp. 146-153. https://doi.org/10.2307/2784941
  2. Carrington, P. J. et al.(2005), Models and methods in social network analysis, Cambridge university press. Vol. 28.
  3. Cho, J. I.(2017), "A Study on the Centrality and Community Structure of International Trade Networks in IT Industry", The e-Business Studies (Tebs), Vol. 18, No. 6, pp. 247-263. https://doi.org/10.20462/TeBS.2017.12.18.6.247
  4. Clauset, A., Newman, M. E. and Moore, C.(2004), "Finding community structure in very large networks". Physical review E, Vol. 70, No. 6, p. 066111.
  5. Coleman, J. S.(1988), "Social capital in the creation of human capital". American journal of sociology, Vol. 94, S95-S120. https://doi.org/10.1086/228943
  6. Enrico D. and Ryoo, D. K.(2017), "A Study on Socio-Economic Effects of Italian Ports", Korean Institute of Navigation and Port Reserach, Vol. 41, No. 4, pp. 243-250.
  7. Everett, M. G. and Borgatti, S. P.(2013), "The dual-projection approach for two-mode networks". Social networks, Vol. 35, No. 2, pp. 204-210. https://doi.org/10.1016/j.socnet.2012.05.004
  8. Han, K. S. and An, D. G.(2018), "Exploring the Network Structure of Core Competence Concepts in the Future Society", Journal of Gifted/Talented Education, Vol 28. No 3, pp. 289-306.
  9. Hanneman, R. A. and Riddle, M.(2005), Introduction to social network methods, pp. 1-114.
  10. Hong, J. W., Lee, Y. J. and Kim, S. W.(2018), "Overlapping Community Detection Based on Link-Graphs for Network Analysis", Database Research, Vol. 34 No. 2, pp. 89-98.
  11. Iyengar, D., Rao, S. and Goldsby, T. J.(2012), "The power and centrality of the transportation and warehousing sector within the US economy: Alongitudinal exploration using social network analysis". Transportation journal, Vol. 51, No. 4, pp. 373-398. https://doi.org/10.5325/transportationj.51.4.0373
  12. Jang, I. S., Chang, D. H. and Lee, S. S.(2011), "The Knowledge Structure of Multicultural Research Papers in Korea", Journal of Korean Library and Information Science Society (JKLISS), Vol. 42, No. 4, pp. 353-374. https://doi.org/10.16981/kliss.42.4.201112.353
  13. Kang, A. R.(2020), "An empirical study on the configuration and evolution of the Korea automotive Industry supply network", Sookmyung Women's University, Graduate school of Management, PhD Dissertation.
  14. Kang, D. J., Bang, H. S. and Woo, S. H,(2014), "AStudy on the Liner Shipping Network of the Container Port", Journal of the Korea Port Economic Association, Vol. 30, No. 1, pp. 73-96.
  15. Kim, D. H.(2020), "A Study on the Effect of Changes in Strategic Alliance of Liner Shipping on Port Connectivity Network", Pusan National University, Graduate school of Management, PhD Dissertation.
  16. Kim, J. H. and Kim, C. Y.(2022), "An Analysis of Domestic Regional Network by Comparison of Centrality and Regional Growth Rate Using SNA", Journal of Shipping and Logistics, Vol. 38, No. 4, pp. 709-732. https://doi.org/10.37059/TJOSAL.2022.38.4.709
  17. Kim, J. H.(2014), "Correlation Between the Network Centrality and the Efficiency of ports, : Focusing on Social Network Analysis", INHA University, Graduate school of Management, Master's thesis.
  18. Kim, J. O.(2019), "A Study on the Application of Social Network Analysis Principles to Criminal Investigation", Journal of Digital Forensics, Vol. 13, No. 2, pp. 89-109.
  19. Kim, T. G., Cho, N. W. and Hong, J. S.(2014), "Characteristics of Korean Film Market by Using Social Network Analysis", Journal of the Korea Contents Association, Vol. 14, No. 6, pp. 93-107.
  20. Kim, Y. G., Park, Y. M,. Song, W. G. and Yang, H. W.(2016), "A discussion of the network structure of and changes in thecharacteristics of domestic airports", Journal of Tourism and Leisure Research, Vol. 28, No. 4, pp. 245-264.
  21. Korea International Trade Association, Korea Trade Statistics, https://stat.kita.net/stat/kts/ktsMain.screen
  22. Lee, W. H., Seok, Y. C. and Park, J. C.(2012), "Detecting Emerging Technology to Use Social Network Analysis : Focusing on Mobile Telecommunication", The Journal of Information Systems, Vol. 21 No. 4, pp. 109-132.
  23. Leem, B. H.(2011), "Impacts of Container Port Network on Productivity: Based on Social Network Analysis Perspective", Korean Journal of Logistics, Vol. 19 No. 3, pp. 19-35. https://doi.org/10.15735/kls.2011.19.3.002
  24. Park, S. Y.(2022), "A Study on International Trade of Water Transport Service using Social Network Analysis", Korea Trade Research Association, Vol. 47, No. 3, pp. 76-94.
  25. Park, Y. A.(2012), "Analysis on Shipping Network Development and Measurement ofCentrality of the port of Busan", Journal of Industrial Economics and Business (JIEB), Vol. 25, No. 5, pp. 3181-3196.
  26. Ryu, G. J., Nam, H. S., Jo, S. H. and Ryu, D. G. (2018), "A Study on Analysis of Container Liner Service Routes Pattern Using Social Network Analysis : Focused on Busan Port", Journal of Korean Navigation and Port Research, Vol. 24, No. 6, pp. 529-538.
  27. Scott, J.(1991), "Networks of corporate power: A comparative assessment". Annual review of sociology, Vol. 17, No. 1, pp. 181-203. https://doi.org/10.1146/annurev.so.17.080191.001145
  28. Son, Y. M and Kim, H. Y.(2023), "A Study on the Analysis of Effect on Port Logistics Network due to COVID-19 Pandemic". Journal of Korea Port Economic Association, Vol.39, No.4, pp.205-222. https://doi.org/10.38121/kpea.2023.12.39.4.205
  29. The Federation of Korean Industries(2023), South Korea's international standing in statistics, https://www.fki.or.kr/main/news/statement_detail.do?bbs_id=00035000&category=ST
  30. Trade Statistics Service(TRASS), Import and Export Statistics, https://www.bandtrass.or.kr.
  31. Wang, H. and Ma, X.(2021), "Research on the Structure of Regional Logistics Network Based on Improved Gravity Model and SNA: Case of Beijing-Tianjin-Hebei Region". 33rd Chinese Control and Decision Conference (CCDC), pp. 4168-4173.
  32. Wang, Y. and Li, X.(2008), "An exploration of Social network analysis on cohesion in online collaborative learning". IEEE International Symposium on IT in Medicine and Education, pp. 224-229.
  33. Wang, Y., Wang, X., Geng, X., Lv, L. and Sun, R.(2022), "Analysis of Key Risks in Fresh Products Supply Chain Logistics Based on the NK/SNAModel". IEEE Access, Vol. 10, pp. 130097-130109. https://doi.org/10.1109/ACCESS.2022.3227772