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...

Full description

Bibliographic Details
Main Authors: Joonmo Cho, Jinha Kim
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:Sustainability
Subjects:
Online Access:http://www.mdpi.com/2071-1050/10/2/490
id doaj-f5007b4632f34d70a3bba62eef9485dc
record_format Article
spelling 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
work_keys_str_mv AT joonmocho identifyingfactorsreinforcingrobotizationinteractiveforcesofemploymentworkinghourandwage
AT jinhakim identifyingfactorsreinforcingrobotizationinteractiveforcesofemploymentworkinghourandwage
_version_ 1725181045502902272