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Spatial distribution and characteristics of vulnerable occupations to artificial intelligence: cases from South Korea

Author

Listed:
  • Seongjun Yang

    (Pusan National University)

  • Donghyun Kim

    (Pusan National University)

Abstract

With the advent of the Fourth Industrial Revolution, Artificial Intelligence (AI) has become increasingly prevalent and is expected to replace a range of human tasks. In this context, this study seeks to identify occupations that are vulnerable to AI, and focuses on their occupational and spatial characteristics. Korean patent data within Google Patents and tasks of occupations based on ISCO-08 were collected and analyzed via dependency parsing to reveal the corresponding tasks and occupations with AI's technical characteristics. Our analysis highlights the vulnerability of tasks that have remained unchanged for a long time, while managerial professions and other occupations involving new and complex tasks based on know-how are less susceptible to the influence of AI. The study also shows significant regional disparities in labor distribution according to AI vulnerability in Korea, forming a strong spatial cluster. While previous waves of automation primarily affected manual labor involving unskilled work and low levels of education, AI is expected to replace various forms of middle and high skilled and educated human work. As such, this study recommends that local governments prepare for the polarization of the labor market by AI based on the understanding of their employment structure.

Suggested Citation

  • Seongjun Yang & Donghyun Kim, 2024. "Spatial distribution and characteristics of vulnerable occupations to artificial intelligence: cases from South Korea," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 72(4), pages 1079-1103, April.
  • Handle: RePEc:spr:anresc:v:72:y:2024:i:4:d:10.1007_s00168-023-01234-1
    DOI: 10.1007/s00168-023-01234-1
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    1. Liu, Jun & Liu, Liang & Qian, Yu & Song, Shunfeng, 2022. "The effect of artificial intelligence on carbon intensity: Evidence from China's industrial sector," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    2. Rampersad, Giselle, 2020. "Robot will take your job: Innovation for an era of artificial intelligence," Journal of Business Research, Elsevier, vol. 116(C), pages 68-74.
    3. Ang, James B., 2010. "Research, technological change and financial liberalization in South Korea," Journal of Macroeconomics, Elsevier, vol. 32(1), pages 457-468, March.
    4. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    5. Alekseeva, Liudmila & Azar, José & Giné, Mireia & Samila, Sampsa & Taska, Bledi, 2021. "The demand for AI skills in the labor market," Labour Economics, Elsevier, vol. 71(C).
    6. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    7. Sofia Wixe & Martin Andersson, 2017. "Which types of relatedness matter in regional growth? Industry, occupation and education," Regional Studies, Taylor & Francis Journals, vol. 51(4), pages 523-536, April.
    8. Alan B. Krueger, 1993. "How Computers Have Changed the Wage Structure: Evidence from Microdata, 1984–1989," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(1), pages 33-60.
    9. Myungrae Cho & Robert Hassink, 2009. "Limits to Locking-out through Restructuring: The Textile Industry in Daegu, South Korea," Regional Studies, Taylor & Francis Journals, vol. 43(9), pages 1183-1198.
    10. Atalay, Enghin & Phongthiengtham, Phai & Sotelo, Sebastian & Tannenbaum, Daniel, 2018. "New technologies and the labor market," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 48-67.
    11. Arntz, Melanie & Gregory, Terry & Zierahn, Ulrich, 2017. "Revisiting the risk of automation," Economics Letters, Elsevier, vol. 159(C), pages 157-160.
    12. Eui-Chul Chung & Bun Song Lee & Chanho Cho, 2021. "Determinants Of Agglomeration In Korean Manufacturing Industries," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 66(05), pages 1293-1319, September.
    13. Charlotta Mellander, 2009. "Creative and Knowledge Industries: An Occupational Distribution Approach," Economic Development Quarterly, , vol. 23(4), pages 294-305, November.
    14. Juhwan Kim & Sunghae Jun & Dongsik Jang & Sangsung Park, 2018. "Sustainable Technology Analysis of Artificial Intelligence Using Bayesian and Social Network Models," Sustainability, MDPI, vol. 10(1), pages 1-12, January.
    15. Arthur Getis & Jared Aldstadt, 2010. "Constructing the Spatial Weights Matrix Using a Local Statistic," Advances in Spatial Science, in: Luc Anselin & Sergio J. Rey (ed.), Perspectives on Spatial Data Analysis, chapter 0, pages 147-163, Springer.
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    More about this item

    JEL classification:

    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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