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Identifying Factors Reinforcing Robotization: Interactive Forces of Employment, Working Hour and Wage

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  • Joonmo Cho

    (Department of Economics, Sungkyunkwan University, 25-2, Sungkyunkwan-ro, Jongno-gu, Seoul 03063, Korea)

  • Jinha Kim

    (HRD Center, Sungkyunkwan University, 25-2, Sungkyunkwan-ro, Jongno-gu, Seoul 03063, Korea)

Abstract

Unlike previous studies on robotization approaching the future based on the cutting-edge technologies and adopting a framework where robotization is considered as an exogenous variable, this study considers that robotization occurs endogenously and uses it as a dependent variable for an objective examination of the effect of robotization on the labor market. To this end, a robotization indicator is created based on the actual number of industrial robots currently deployed in workplaces, and a multiple regression analysis is performed using the robotization indicator and labor variables such as employment, working hours, and wage. The results using the multiple regression considering the triangular relationship of employment–working-hours–wages show that job destruction due to robotization is not too remarkable yet that use. Our results show the complementary relation between employment and robotization, but the substituting relation between working hour and robotization. The results also demonstrate the effects of union, the size of the company and the proportion of production workers and simple labor workers etc. These findings indicate that the degree of robotization may vary with many factors of the labor market. Limitations of this study and implications for future research are also discussed.

Suggested Citation

  • Joonmo Cho & Jinha Kim, 2018. "Identifying Factors Reinforcing Robotization: Interactive Forces of Employment, Working Hour and Wage," Sustainability, MDPI, vol. 10(2), pages 1-21, February.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:2:p:490-:d:131554
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    References listed on IDEAS

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    Cited by:

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    2. Jung, Jin Hwa & Lim, Dong-Geon, 2020. "Industrial robots, employment growth, and labor cost: A simultaneous equation analysis," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    3. Yang, Siying & Liu, Fengshuo & Lu, Jingjing & He, Xiaogang, 2022. "Does occupational injury promote industrial robot applications?," Technology in Society, Elsevier, vol. 70(C).
    4. Almer Villajos & Cristina García-Ael & Gabriela Topa, 2019. "Job Crafting among Labor Union Representatives: Its Impact on Work Engagement and Job Satisfaction," Social Sciences, MDPI, vol. 8(1), pages 1-11, January.
    5. Klump, Rainer & Jurkat, Anne & Schneider, Florian, 2021. "Tracking the rise of robots: A survey of the IFR database and its applications," MPRA Paper 110390, University Library of Munich, Germany.
    6. Jasmine Mondolo, 2022. "The composite link between technological change and employment: A survey of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1027-1068, September.

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