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The Study of ICT Sector’s Network Efficiency in Korea: Influence of Import and Sector Difference

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  • Eui-Bang Lee

    (Financial Artificial Intelligence Center)

Abstract

The technology network studies derive the network relationship according to the trade of intermediate goods between sectors and classify the sectors in the efficient position. Technical network studies use both models that include or exclude import. Differences can arise in the Korean market, where the proportion of intermediate goods is high. Thus, this study analyzes the influence of import on the technology network. Also, Korea’s industry is divided into ICT and non-ICT sectors to clarify the differences. Difference in difference (DiD) panel analysis is used to separate the level of influence and the change over time in multi-period analysis. This study found that (1) the network efficiency is high and the constraint is not changed by import. Higher network efficiency means higher total added value. This study has implications for verifying the effect of import on the network impact level not considered in the technical system network studies. (2) The network efficiency of the non-ICT sector was higher than that of the ICT sector, and the network constraint was not different. This can judge to be relatively inefficient in Korea’s ICT sector in the network for the full economy. (3) In order to clarify the numerical change caused by industrial development, it is necessary to eliminate the change caused by the passage of time. As an alternative, this study solved this problem by using multi-period DID panel analysis. This study may be helpful to government investment and policy makers as well as corporate policy makers.

Suggested Citation

  • Eui-Bang Lee, 2024. "The Study of ICT Sector’s Network Efficiency in Korea: Influence of Import and Sector Difference," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 5329-5358, June.
    • Handle: RePEc:spr:jknowl:v:15:y:2024:i:2:d:10.1007_s13132-023-01382-x
    DOI: 10.1007/s13132-023-01382-x
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    1. Leoncini, Riccardo & Montresor, Sandro, 2001. "The automobile technological systems : An empirical analysis of four European countries," Research Policy, Elsevier, vol. 30(8), pages 1321-1340, October.
    2. Angrist, Joshua D. & Krueger, Alan B., 1999. "Empirical strategies in labor economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 23, pages 1277-1366, Elsevier.
    3. Robert C. Feenstra, 1998. "Integration of Trade and Disintegration of Production in the Global Economy," Journal of Economic Perspectives, American Economic Association, vol. 12(4), pages 31-50, Fall.
    4. Anupam Das & Murshed Chowdhury & Sariah Seaborn, 2018. "ICT Diffusion, Financial Development and Economic Growth: New Evidence from Low and Lower Middle-Income Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(3), pages 928-947, September.
    5. Xing, Wan & Ye, Xuan & Kui, Lv, 2011. "Measuring convergence of China's ICT industry: An input-output analysis," Telecommunications Policy, Elsevier, vol. 35(4), pages 301-313, May.
    6. Michael Fritsch & Martina Kauffeld-Monz, 2010. "The impact of network structure on knowledge transfer: an application of social network analysis in the context of regional innovation networks," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 44(1), pages 21-38, February.
    7. Charles Shaaba Saba & Nicholas Ngepah, 2022. "ICT Diffusion, Industrialisation and Economic Growth Nexus: an International Cross-country Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(3), pages 2030-2069, September.
    8. Lee, Myoung-jae & Kang, Changhui, 2006. "Identification for difference in differences with cross-section and panel data," Economics Letters, Elsevier, vol. 92(2), pages 270-276, August.
    9. Susan Athey & Guido W. Imbens, 2006. "Identification and Inference in Nonlinear Difference-in-Differences Models," Econometrica, Econometric Society, vol. 74(2), pages 431-497, March.
    10. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    11. Dong Hyun Lee & Ga Youn Hong & Sang-Gun Lee, 2019. "The relationship among competitive advantage, catch-up, and linkage effects: a comparative study on ICT industry between South Korea and India," Service Business, Springer;Pan-Pacific Business Association, vol. 13(3), pages 603-624, September.
    12. Leoncini, R. & Montresor, S., 2005. "Accounting for core and extra-core relationships in technological systems: a methodological proposal," Research Policy, Elsevier, vol. 34(1), pages 83-100, February.
    13. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    14. Julie M. Hite & William S. Hesterly, 2001. "The evolution of firm networks: from emergence to early growth of the firm," Strategic Management Journal, Wiley Blackwell, vol. 22(3), pages 275-286, March.
    15. Leydesdorff, Loet & Wagner, Caroline S., 2008. "International collaboration in science and the formation of a core group," Journal of Informetrics, Elsevier, vol. 2(4), pages 317-325.
    16. Rohman, Ibrahim Kholilul, 2013. "The globalization and stagnation of the ICT sectors in European countries: An input-output analysis," Telecommunications Policy, Elsevier, vol. 37(4), pages 387-399.
    17. Besley, Timothy & Case, Anne, 2000. "Unnatural Experiments? Estimating the Incidence of Endogenous Policies," Economic Journal, Royal Economic Society, vol. 110(467), pages 672-694, November.
    18. Leoncini, Riccardo, 1998. "The nature of long-run technological change: innovation, evolution and technological systems," Research Policy, Elsevier, vol. 27(1), pages 75-93, May.
    19. Aoun, Dany & Hwang, Junseok, 2008. "The effects of cash flow and size on the investment decisions of ICT firms: A dynamic approach," Information Economics and Policy, Elsevier, vol. 20(2), pages 120-134, June.
    20. Hummels, David & Ishii, Jun & Yi, Kei-Mu, 2001. "The nature and growth of vertical specialization in world trade," Journal of International Economics, Elsevier, vol. 54(1), pages 75-96, June.
    21. Leoncini, R. & Maggioni, M. A. & Montresor, S., 1996. "Intersectoral innovation flows and national technological systems: network analysis for comparing Italy and Germany," Research Policy, Elsevier, vol. 25(3), pages 415-430, May.
    22. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    23. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    24. Mahmoud Ibrahim Fallatah, 2021. "Innovating in the Desert: a Network Perspective on Knowledge Creation in Developing Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(3), pages 1533-1551, September.
    25. Blalock, Garrick & Veloso, Francisco M., 2007. "Imports, Productivity Growth, and Supply Chain Learning," World Development, Elsevier, vol. 35(7), pages 1134-1151, July.
    26. Lili Wang & Xianwen Wang & Niels J. Philipsen, 2017. "Network structure of scientific collaborations between China and the EU member states," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 765-781, November.
    27. Yong-Jeong Kim & Sang-Gun Lee & Silvana Trimi, 2021. "Industrial linkage and spillover effects of the logistics service industry: an input–output analysis," Service Business, Springer;Pan-Pacific Business Association, vol. 15(2), pages 231-252, June.
    28. Ana Muñiz & Antonio Raya & Carmen Carvajal, 2010. "Spanish and European innovation diffusion: a structural hole approach in the input–output field," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 44(1), pages 147-165, February.
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