Identifying Factors Reinforcing Robotization: Interactive Forces of Employment, Working Hour and Wage
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 ex...
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doaj-f5007b4632f34d70a3bba62eef9485dc2020-11-25T01:08:54ZengMDPI AGSustainability2071-10502018-02-0110249010.3390/su10020490su10020490Identifying Factors Reinforcing Robotization: Interactive Forces of Employment, Working Hour and WageJoonmo Cho0Jinha Kim1Department of Economics, Sungkyunkwan University, 25-2, Sungkyunkwan-ro, Jongno-gu, Seoul 03063, KoreaHRD Center, Sungkyunkwan University, 25-2, Sungkyunkwan-ro, Jongno-gu, Seoul 03063, KoreaUnlike 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.http://www.mdpi.com/2071-1050/10/2/490robotizationthe triangular relationship of employment–working-hours–wagesemployment rigidityreduction of working hoursseniority-based wage systemlabor union |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Joonmo Cho Jinha Kim |
spellingShingle |
Joonmo Cho Jinha Kim Identifying Factors Reinforcing Robotization: Interactive Forces of Employment, Working Hour and Wage Sustainability robotization the triangular relationship of employment–working-hours–wages employment rigidity reduction of working hours seniority-based wage system labor union |
author_facet |
Joonmo Cho Jinha Kim |
author_sort |
Joonmo Cho |
title |
Identifying Factors Reinforcing Robotization: Interactive Forces of Employment, Working Hour and Wage |
title_short |
Identifying Factors Reinforcing Robotization: Interactive Forces of Employment, Working Hour and Wage |
title_full |
Identifying Factors Reinforcing Robotization: Interactive Forces of Employment, Working Hour and Wage |
title_fullStr |
Identifying Factors Reinforcing Robotization: Interactive Forces of Employment, Working Hour and Wage |
title_full_unstemmed |
Identifying Factors Reinforcing Robotization: Interactive Forces of Employment, Working Hour and Wage |
title_sort |
identifying factors reinforcing robotization: interactive forces of employment, working hour and wage |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2018-02-01 |
description |
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. |
topic |
robotization the triangular relationship of employment–working-hours–wages employment rigidity reduction of working hours seniority-based wage system labor union |
url |
http://www.mdpi.com/2071-1050/10/2/490 |
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