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Computer technology and probable job destructions in Japan: An evaluation

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  • David, Benjamin

Abstract

Computer technology is currently experiencing important developments by generating new tools and methods with increasing capacities. This suggests that a growing share of economic tasks could be performed by this new capital at the expense of labor. This paper evaluates the risk of job destructions induced by computer technology in Japan. We aim at assessing the vulnerability of employment from a technical point of view by considering jobs’ differential dotation in non-programmable skills. Relying on machine learning technique, we find evidence that approximatively 55% of jobs are susceptible to be carried by computer capital in the next years. We also show that there is no significant difference on the basis of gender. On the contrary, non-regular jobs (those that concern temporary and part-time workers) are more vulnerable to computer technology diffusion than the others. These findings, based on technical background, shed light on the scale of the potential capital/labor substitution but this dynamics will also depends on economic and social factors.

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  • David, Benjamin, 2017. "Computer technology and probable job destructions in Japan: An evaluation," Journal of the Japanese and International Economies, Elsevier, vol. 43(C), pages 77-87.
  • Handle: RePEc:eee:jjieco:v:43:y:2017:i:c:p:77-87
    DOI: 10.1016/j.jjie.2017.01.001
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    10. Kovács, Olivér, 2022. "Inkluzív kormányzás az ipar 4.0 korában - Japán példája [Inclusive governance in the age of Industry 4.0 - The example of Japan]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 255-277.
    11. Morikawa, Masayuki, 2017. "Who Are Afraid of Losing Their Jobs to Artificial Intelligence and Robots? Evidence from a Survey," GLO Discussion Paper Series 71, Global Labor Organization (GLO).
    12. Wang, Chengzhang & Zheng, Min & Bai, Xiaoming & Li, Youwei & Shen, Wei, 2023. "Future of jobs in China under the impact of artificial intelligence," Finance Research Letters, Elsevier, vol. 55(PA).
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    15. Chee‐Hong Law & Siong Hook Law, 2024. "The non‐linear impacts of innovation on unemployment: Evidence from panel data," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 402-424, January.
    16. Filippi, Emilia & Bannò, Mariasole & Trento, Sandro, 2023. "Automation technologies and their impact on employment: A review, synthesis and future research agenda," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    17. Gizem Akar & Giorgia Casalone & Martin Zagler, 2023. "You have been terminated: robots, work, and taxation," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 70(3), pages 283-300, September.
    18. Morikawa, Masayuki, 2017. "Who Are Afraid of Losing Their Jobs to Artificial Intelligence and Robots? Evidence from a Survey," GLO Discussion Paper Series 71, Global Labor Organization (GLO).
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    More about this item

    Keywords

    Computer technology; Japanese labor market; Automation; Random forest;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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