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Dualistic nature of the 4IR: Investigating the economy-wide impacts of the 4IR with a focus on Korean economy using a CGE analysis

Author

Listed:
  • Yeo, Yeongjun
  • Hwang, Won-Sik
  • Shin, Kiyoon
  • Hong, Chanyoung
  • Oh, Inha
  • Jung, Sungmoon
  • Lee, Jeong-Dong

Abstract

This study quantitatively assesses and projects the socioeconomic impacts of the Fourth Industrial Revolution (4IR) with a focus on the South Korean economy. We have developed a policy simulation framework using a computable general equilibrium (CGE) model to capture the intricate interplay between 4IR-driven technological advances and various economic sectors. The CGE analysis endeavors to quantify the widespread implications of 4IR technological changes in terms of GDP, industrial production, labor market dynamics, and income distribution. The study constructs various policy scenarios predicated on the diffusion of 4IR technologies and the conditions within the labor market. From the CGE analysis, it is evident that the 4IR exerts a dualistic impact on the economic system, where it offers opportunities for economic growth and efficiency while concurrently risking an exacerbation of labor market polarization and income inequality. However, the simulation results imply that strategic workforce development, synchronized with the adoption of 4IR technologies through lifelong learning and skill enhancement, is essential to soften the adverse effects of swift technological advancements and to ensure the benefits of the 4IR are equitably distributed across the economy. Our study advocates for a balanced approach that recognizes the unique potential and challenges of each sector and aims to support the workforce across all levels of skill and income.

Suggested Citation

  • Yeo, Yeongjun & Hwang, Won-Sik & Shin, Kiyoon & Hong, Chanyoung & Oh, Inha & Jung, Sungmoon & Lee, Jeong-Dong, 2025. "Dualistic nature of the 4IR: Investigating the economy-wide impacts of the 4IR with a focus on Korean economy using a CGE analysis," Telecommunications Policy, Elsevier, vol. 49(3).
  • Handle: RePEc:eee:telpol:v:49:y:2025:i:3:s0308596125000254
    DOI: 10.1016/j.telpol.2025.102928
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    as
    1. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    2. Hübler, Michael, 2011. "Technology diffusion under contraction and convergence: A CGE analysis of China," Energy Economics, Elsevier, vol. 33(1), pages 131-142, January.
    3. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    4. Gotsch, Matthias & Kelnhofer, Anton & Jäger, Angela, 2019. "Environmental product innovations and the digital transformation of production: Analysing the influence that digitalising production has on generating environmental product innovations," Working Papers "Sustainability and Innovation" S07/2019, Fraunhofer Institute for Systems and Innovation Research (ISI).
    5. Agbahey, Johanes & Siddig, Khalid & Grethe, Harald, 2020. "Implications of labor supply specifications in CGE models: A demonstration for employment of Palestinian labor in Israel and its impact on the West Bank economy," Economic Analysis and Policy, Elsevier, vol. 68(C), pages 265-284.
    6. Berg, Andrew & Buffie, Edward F. & Zanna, Luis-Felipe, 2018. "Should we fear the robot revolution? (The correct answer is yes)," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 117-148.
    7. Won-Sik Hwang & Yeongjun Yeo & Inha Oh & Chanyoung Hong & Sungmoon Jung & Heewon Yang & Jeong-Dong Lee, 2021. "CGE analysis of R&D investment policy considering trade-offs between economic growth and stability," Science and Public Policy, Oxford University Press, vol. 48(3), pages 295-308.
    8. Kuster, Robert & Ellersdorfer, Ingo & Fahl, Ulrich, 2007. "A CGE-Analysis of Energy Policies Considering Labor Market Imperfections and Technology Specifications," Climate Change Modelling and Policy Working Papers 12035, Fondazione Eni Enrico Mattei (FEEM).
    9. Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2018. "Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 23-57, National Bureau of Economic Research, Inc.
    10. Robert Küster & ingo Ellersdorfer & Ulrich Fahl, 2007. "A CGE-Analysis of Energy Policies Considering Labor Market Imperfections and Technology Specifications," Working Papers 2007.7, Fondazione Eni Enrico Mattei.
    11. Giancarlo Moschini, 1995. "Units of Measurement and the Stone Index in Demand System Estimation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(1), pages 63-68.
    12. Yeo, Yeongjun & Lee, Jeong-Dong, 2020. "Revitalizing the race between technology and education: Investigating the growth strategy for the knowledge-based economy based on a CGE analysis," Technology in Society, Elsevier, vol. 62(C).
    13. Won-Sik Hwang & Dongnyok Shim, 2021. "Measuring the Impact of ICT-driven Product and Process Innovation on the Korean Economy," Global Economic Review, Taylor & Francis Journals, vol. 50(3), pages 235-253, July.
    14. Dalenogare, Lucas Santos & Benitez, Guilherme Brittes & Ayala, Néstor Fabián & Frank, Alejandro Germán, 2018. "The expected contribution of Industry 4.0 technologies for industrial performance," International Journal of Production Economics, Elsevier, vol. 204(C), pages 383-394.
    15. Robert Seamans & Manav Raj, 2018. "AI, Labor, Productivity and the Need for Firm-Level Data," NBER Working Papers 24239, National Bureau of Economic Research, Inc.
    16. Filippo Bertani & Marco Raberto & Andrea Teglio, 2020. "The productivity and unemployment effects of the digital transformation: an empirical and modelling assessment," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 329-355, November.
    17. Yeongjun Yeo & Jeong-Dong Lee & Sungmoon Jung, 2023. "Winners and losers in a knowledge-based economy: investigating the policy packages for an inclusive growth based on a computable general equilibrium analysis of Korea," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 28(2), pages 420-456, April.
    18. Zhang, Aihua & Lv, Jia & Kong, Ying, 2017. "The Effects of the Internet and Mobile Services on Urban Household Expenditures," 14th ITS Asia-Pacific Regional Conference, Kyoto 2017: Mapping ICT into Transformation for the Next Information Society 168554, International Telecommunications Society (ITS).
    19. Melanie Arntz & Terry Gregory & Ulrich Zierahn, 2016. "The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis," OECD Social, Employment and Migration Working Papers 189, OECD Publishing.
    20. Won-Sik Hwang & Yeongjun Yeo & Inha Oh & Chanyoung Hong & Sungmoon Jung & Heewon Yang & Jeong-Dong Lee, 2021. "Corrigendum to: CGE analysis of R&D investment policy considering trade-offs between economic growth and stability," Science and Public Policy, Oxford University Press, vol. 48(3), pages 445-445.
    21. Jung, Sungmoon & Lee, Jeong-Dong & Hwang, Won-Sik & Yeo, Yeongjun, 2017. "Growth versus equity: A CGE analysis for effects of factor-biased technical progress on economic growth and employment," Economic Modelling, Elsevier, vol. 60(C), pages 424-438.
    22. Christensen, Laurits R & Jorgenson, Dale W & Lau, Lawrence J, 1975. "Transcendental Logarithmic Utility Functions," American Economic Review, American Economic Association, vol. 65(3), pages 367-383, June.
    23. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    24. David G. Blanchflower & Andrew J. Oswald, 1995. "An Introduction to the Wage Curve," Journal of Economic Perspectives, American Economic Association, vol. 9(3), pages 153-167, Summer.
    25. Won-Sik Hwang & Chanyoung Hong & Inha Oh & Yeongjun Yeo, 2022. "Assessing the economy-wide impacts of public R&D support options based on a computable general equilibrium model: focusing on types of fiscal incentives and beneficiaries," Applied Economics, Taylor & Francis Journals, vol. 54(40), pages 4664-4680, August.
    26. Wagner, Gerhard & Schramm-Klein, Hanna & Steinmann, Sascha, 2020. "Online retailing across e-channels and e-channel touchpoints: Empirical studies of consumer behavior in the multichannel e-commerce environment," Journal of Business Research, Elsevier, vol. 107(C), pages 256-270.
    27. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
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