Browse > Article
http://dx.doi.org/10.11627/jksie.2022.45.4.142

Input-Output Analysis of Service Robot Industry  

Seong-eun Ryu (Department of Mechanical and Plant Engineering, College of Engineering, Hanyang University)
In-Jae Jeong (Department of Industrial Engineering, Hanyang University)
Publication Information
Journal of Korean Society of Industrial and Systems Engineering / v.45, no.4, 2022 , pp. 142-149 More about this Journal
Abstract
This study attempts to analyze the economic impact of the service robot industry using Input-Output analysis, which is conducted based on Demand-driven model, the Leontief price model, the Backward and Forward Linkage Effects, and the Exogenous Methods. In a Demand-driven model analysis, we can conclude that the service robot industry contains characteristics of both the manufacturing industry and the service industry, which causes a positive impact on the overall industry by compensating for the weaknesses of the two industries. The Leontief price analysis indicates when wages in the service robot industry increase, prices related to robot manufacturing also increase. Also, when profits in the service robot industry increase, prices related to service provision increase, too. The Backward and Forward Linkage Effects analysis shows that the service robot industry is highly sensitive to the current economic condition and has a great influence on the service industry. The service robot industry can highlight the aspect of service characteristics when the manufacturing industry is in recession and vice versa. In addition, the service robot industry can be regarded as a value-adding and domestic economy promoting industry which utilizes knowledge of information and communication technologies. It is important to foster the service robot industry in South Korea, which is in economic recession to provide an opportunity to stimulate the growth of both service and robot industries.
Keywords
Service Robot; Input-Output Analysis; Demand-Driven Model; Leontief Price Model; Backward & Forward Linkage Effects;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 Hong, J.P., Kim, D., and Hong, S.-J., National Economic Effects of Smart Farm: Using Input-output Analysis, Korean Industrial Economic Association, 2019, Vol. 32, pp. 1313-1332. 
2 Jeong, E.H., The Analysis of Economic Impact for Fourth Industrial Revolution Industry using Demand-driven Model, Journal of Korea Institute of Information, 2021, Vol. 14, pp. 70-77. 
3 Kim, H.-G. and Lee, Y.S., An Analysis of the Economic Impacts of Robot Industry in the Seoul Metropolitan and the Non-Metropolitan Areas : From the Perspective of Smart Specialization, Journal of Korea Planning Association, 2021, Vol. 56, pp. 122-136.    DOI
4 Kim, H.-Y., Song, T.H., and Yoo, S.H., Using the Demand-driven Model-based Inter-industry Analysis to Examine the Economic Effects of Petroleum Refinery Sector, Journal of Energy Engineering, 2015, Vol. 24, pp. 104-113.    DOI
5 Kim, K., Service robot-Demand is expected to increase due to COVID-19, aging, and reduced labor costs, ASTI Market insight, 2022, Vol. 32. 
6 Kim, T.J., Input-Output Analysis using R, Seoul : Hannarae, 2021. 
7 Korean Institue for Industrial Economics & Trade, Structural Change and Input-Output Analysis about Robot Industry, 2012. 
8 Lee, H. A., Koo, C. M., and Chung, N. H., The economic impacts of smart tourism: analysis using an input-output model, Journal of Hospitality and Tourism Studies, 2020, Vol. 22, pp. 1-12. 
9 MarketsandMarkets, Service Robotics Market with COVID-19 Impact Analysis-Global Forecast to 2026, 2021. 
10 Miller, R.E. and Peter, D. B., Input-Output Analysis: Foundations and Extensions, Cambridge, New York: Cambridge University Press, 2009. 
11 National Assembly Research Service, Analytical Study on Industrial-related Effect of Robot Industry, 2015. 
12 Sin, Y.J., A Study on the Structure and Impact Analysis of the Core Components Industry of the 4th Industrial Revolution, The e-Business Studies, 2019, Vol. 20, pp. 221-239.    DOI
13 Vermesan, O., Bahr, R., Ottella, M., Serrano, M., Karlsen, T., Wahlstrom, T., Sand, H.E., Ashwathnarayan, M., and Gamba, M.T., Internet of Robotic Things Intelligent Connectivity and Platforms, Frontiers in Robotics and AI, 2020, Vol. 7.