DOI QR코드

DOI QR Code

Network Structure and Centrality Analysis of Global Value Chains in Electrical and Electronic Industries

전기·전자산업의 중간재 글로벌가치사슬 네트워크 구조와 중심성 분석

  • Seog-Min Kim (Department of International Trade, Chosun University)
  • Received : 2021.01.27
  • Accepted : 2021.02.25
  • Published : 2021.02.28

Abstract

This study analyzed the centrality of the GVCs network and the value-added-based production structure of the electrical and electronic industries using ADB-MIRO and social network analysis methods. According to the analysis, the centrality and power of the GVSc intermediate goods network were differentiated into China, the United States, and the EU due to the advancement of industrial structure in Asia. In the 2000 network, the United States and Japan had a very strong influence in all aspects, including connectivity and strength. However, in 2017, China's power index rose to number one among 62 countries in the network. Furthermore, this study presented strategic implications of the Korean electrical and electronic industries to respond to the reorganization of GVSs based on the analysis results.

Keywords

Acknowledgement

This work was supported by the National Research Foundation of Korea (NRF) grant and Ministry of Education 2018(NRF-2018S1A5A2A01031390)

References

  1. Beauchamp, M. A. (1965), "An Improved Index of Centrality", Behavioral Science, 10(2), 161-163. https://doi.org/10.1002/bs.3830100205
  2. Bonacich, P. (1987), "Power and Centrality: A Family of Measures", American Journal of Sociology, 92(5), 1170-1182. https://doi.org/10.1086/228631
  3. Bonacich, P. (2007), "Some Unique Properties of Eigenvector Centrality", Social Networks, 29(4), 555-564. https://doi.org/10.1016/j.socnet.2007.04.002
  4. Fagiolo, G., J. Reyes and S. Schiavo (2009), "The World-Trade Web: Topological Properties, Dynamics, and Evolution", Physical Review, 79(3), 036115.
  5. Farooq, A., N. Ashfaq., S. Majeed and S. Ali (2018), "Prediction of Top Trade Leading Countries through Social Network Analysis Using Hybrid Classification Techniques", 2018 IEEE International Conference on Multi Topic, 18340832.
  6. Ferrarini, B. (2011). "Mapping Vertical Trade", ADB Economics Working Paper, 263, Asian Development Bank.
  7. Ferrarini, B. and D. Hummels (2014), Asia and Global Production Networks: Implications for Trade, Incomes and Economic Vulnerability, Northampton, MA: Co-Publication of the Asian Development Bank and Edward Elgar Publish.
  8. Freeman, L. C. (1979), "Centrality in Social Networks Vonceptual Clarification", Social Networks, 1(3), 215-239. https://doi.org/10.1016/0378-8733(78)90021-7
  9. Garlaschelli, D. and M. I. Loffredo (2005), "Structure and Evolution of the World Trade Network", Physica A: Statistical Mechanics and its Applications, 355(1), 138-144. https://doi.org/10.1016/j.physa.2005.02.075
  10. Hyun, Ki-Soon and Jun-Yeop Lee (2016), "World Trade Network and the Roles of the Industries in the Major Trading Countries", Journal of the Economic Geographical Society of Korea, 19(4), 677-693. https://doi.org/10.23841/EGSK.2016.19.4.677
  11. Kim, Jong-Ki, Dong-Hyeok Seo, Dae-Yeong Ju, Dong-Won Choi and Jae-Deok Kim (2014), "Structural Change of Global Value Chain in the Korea's ICT Industry and Development Strategies", Research Reports, 2014-734, Korea Institute for Industrial Economics and Trade.
  12. Kim, Seog-Min (2017), "Visual Analysis of Trade in Value Added Structure in Northeast Asia", Journal of Northeast Asian Studies, 84, 25-44.
  13. Kwahk, Kee-Young (2017), Social Network Analysis, Seoul, CR Books.
  14. La, Mee-Ryung (2017), "An Analysis of RCEP Value Chains and Policy Implications", Policy References, 17-08, Korea Institute for International Economic Policy.
  15. Lee, Chun-Su (2020), "Trade Competence Reinforcement Strategy with Trade Network Analysis: Focused on ASEAN and KOREA, Journal of International Trade and Insurance, 21(3), 17-34. https://doi.org/10.22875/JITI.2020.21.3.002
  16. Lee, Jae-Min and Young-Ho Jung (2017), "Structure and Understanding of the World Industrial Association Table", Quarterly National Accounts Review, 2017(3), Bank of Korea, 46-70.
  17. Lee, Kyeong-Min and Chun-Su Lee (2016), "A Study on Precious Metals HS 71 Trade Networks by Utilizing Social Network Analysis", Journal of International Trade and Insurance, 17(3), 123-145. https://doi.org/10.22875/JITI.2016.17.3.006
  18. Leem, Byung-Hak (2012), "A Study on Contagion Effect of Country Shock Through Core-Periphery and Influence Analysis of Intra-Regional Trade Networks among European Countries", The Review of Eurasian Studies, 9(1), 93-117.
  19. Leontief, W. W. (1936), "Quantitative Input and Output Relations in the Economic System of the United States", Review of Economics and Statistics, 18(3), 105-125. https://doi.org/10.2307/1927837
  20. Lim, Won-Hyuk (2016), The Development of Korea's Electronics Industry During Its Formative Years (1966-1979), Sejong Korea: KDI School of Public Policy and Management.
  21. OECD-WTO (2012), "Trade in Value-Added: Concepts, Methodologies and Challenges", Joint OECD-WTO Note, March 15, 2012.
  22. Pak, Jee-Mon, Sung-Kuk Kim and Han-Ho Kim (2015), "A Study on Oyster Trade Networks by Utilizing Social Network Analysis", Korea Trade Review, 40(2), 51-70.
  23. Serrano M. A. and M. Boguna (2003), "Topology of the World Trade Web", Physical Review, E.68, 015101.
  24. Wang, Z., S. J. Wei and K. Zhu (2013), "Quantifying International Production Sharing at the Bilateral and Sector Level", NBER Working Papers, 19688, National Bureau of Economic Research.
  25. Wang, Z., S. J. Wei, X. Yu and K. Zhu (2017), "Characterizing Global Value Chains: Production Length and Upstreamness", NBER Working Papers, 23261, National Bureau of Economic Research.
  26. Yoon, Woo-Jin (2016), "Global Value Chains and the Industrialization of Korea", KIET Working Paper, 2016-797 Korea Institute for Industrial Economics & Trade.