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This paper examines the impact of the number of industrial robots on employment, minimum wage, and productivity by using the panel pooled mean group estimator method in the context of the Creative Destruction hypothesis of Schumpeter and the Technological System of Freeman with Dosi both in the long and short term for 22 OECD countries (Austria, Belgium, Czech Republic, Denmark, Finland, France, Germany, Hungary, Italy, Japan, Korea, Netherlands, Norway, Poland, Portugal, Romania, Slovakia, Spain, Sweden, Turkey, the UK, and the US). The study covers the period of 2006-2017. This article is one of the few empirical studies on industrial robots. According to the panel cointegration analysis results, it is concluded that the number of industrial robots has a positive long-term impact on employment and productivity. Meaningless result has been found in relation to the impact on minimum wage. (original abstract)
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Tom
Numer
Strony
59--67
Opis fizyczny
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autor
- Çankırı Karatekin University, Çankırı, Turkey
Bibliografia
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- Carbonero, F., Ernst, E., & Weber, E. (2018). Robots worldwide: The impact of automation on employment and trade. International Labour Office Working Paper No. 36, Genève.
- Chiacchio, F., Petropoulos, G., & Pichler, D. (2018). The impact of industrial robots on EU employment and wages: A local labour market approach. Retrieved from: http://bruegel.org/2018/04/the-impact-of-industrial-robotson-eu-employment-and-wages-a-local-labour-market-approach/ (12.03. 2018).
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- Dauth, W., Findeisen, S., Südekum, J., & Wöbner, N. (2017). German robots-the impact of industrial robots on workers. The Centre for Economic Policy Research Working Papers No. DP12306, London.
- De Backer, K., Destefano T., Menon C., & Suh J. R. (2018). Industrial robotics and the global organisation of production, OECD science, technology and industry. OECD Publishing Working Papers No. 2018/03, Paris.
- De Canio, S. J. (2016). Robots and humans-complements or substitutes. Journal of Macroeconomics, 49, 280-291.
- Dosi, G. (1988). Sources, Procedures and micro-economic effects of innovation. Journal of Economic Literature, 36, 1126-1171.
- Dosi, G. (2000). Innovation organization and economic dynamics. Northampton, Massachusetts: Edvard Elgar Publishing Inc.
- Ebel, K. H. (1987). The impact of industrial robots on the World of work. Robotics, 3(1), 65-72.
- Freeman, C., Clark, J., & Soete, L. (1982). Unemployment and technical innovation. London: Frances Pinter Publish.
- Freeman, C., & Soete, L. (2000). The economics of industrial innovation. Cambridge: The MIT Press.
- Hlouskova, J., & Wagner, M. (2006). The performance of panel unit root and stationarity tests: Results from a largescale simulation study. Econometric Reviews, 25(1), 85-116.
- Howell, D.R. (1985). The future employment impacts of industrial robots: An input-output approach. Technological Forecasting and Social Change, 28(4), 297-310.
- Hsiao, C. (2006). Panel data analysis-advantages and challenges. Institute for Economic Policy Research Working Paper No. 06-49, Los Angeles.
- Graetz, G., & Michaels, G. (2015). Robots at work. Review of Economics and Statistics, 100(5), 753-768.
- Greene, H. W. (2012). Econometric analysis. Harlow: Pearson Education.
- IFR (International Federation of Robotics) (2017). The impact of robots on productivity, employment and jobs. Retrieved from: https://ifr.org/ img/office/IFR_The_Impact_of_Robots_on_Employmnt.pdf (03.04. 2018).
- IHA. (Ihlas Haber Ajansı) (2015). Yeni iş arkadaşımız robotlar. Retrieved from: http://www.iha.com.tr/haber-yeni-isarkadaslarimiz-robotlar-50 594/ (27.05.2018).
- Marr, B. (2016). Why robots pose a huge threat to low-wage workers around the World. Retrieved from: https://www.forbes.com/sitesbernardmarr/2016/10/17/why-robots-pose-a-huge-threat-to-low-wage-workers-around-the-world/
Typ dokumentu
Bibliografia
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