The Language of Publications on the Impact of Robotisation on Labour
DOI:
https://doi.org/10.15678/ZNUEK.2019.0981.0306Keywords:
robots, labour, language of publications on the impact of robotisation on labour, robotisation of productionAbstract
Objective: The aim of this paper is to verify the language used in publications on the impact of robotisation on labour.
Research Design & Methods: The analysis covered ten articles on the impact of robots on labour published between 2015–2018. The focus is on the most frequently used words.
Findings: The most frequently discussed challenges concern income distribution and income polarisation. The industry most exposed to the impact of robots is production, routine work, physical work and professions performed by less-educated people.
Implications / Recommendations: The results suggest that income distribution and income polarisation are the biggest challenges related to the impact of robotisation on labour.
Contribution: The article identifies current and potential future directions in research related to the impact of robotisation on labour.
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References
Acemoglu D., Restrepo P. (2018), Robots and Jobs: Evidence from US Labor Markets, NBER Working Paper, nr 23285, NBER, Cambridge. DOI: https://doi.org/10.3386/w23285
Arntz M., Gregory T., Zierahn U. (2016), The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis, OECD Social, Employment and Migration Working Papers, nr 189, OECD, Paris.
Autor D.H. (2015), Why Are There Still So Many Jobs? The History and Future of Workplace Automation, „Journal of Economic Perspectives”, vol. 29, nr 3, https://doi.org/10.1257/jep.29.3.3. DOI: https://doi.org/10.1257/jep.29.3.3
Carbonero F., Ernst E., Weber E. (2018), Robots Worldwide: The Impact of Automation on Employment and Trade, Research Department Working Paper, nr 36, International Labour Office, Geneva.
Chiacchio F., Petropoulos G., Pichler D. (2018), The Impact of Industrial Robots on EU Employment and Wages: A Local Labour Market Approach, Working Paper, nr 2, Bruegel, Brussels.
Dauth W., Findeisen S., Südekum J., Wößner N. (2017), German Robots – The Impact of Industrial Robots on Workers, IAB Discussion Paper, nr 30, Institute for Employment Research of the Federal Employment Agency, Nuremberg.
De Backer K., DeStefano T., Menon C., Ran Suh J. (2018), Industrial Robotics and the Global Organisation of Production, OECD Science, Technology and Industry Working Papers, nr 3, OECD, Paris.
DeCanio S.J. (2016), Robots and Humans – Complements or Substitutes, „Journal of Marcoeconomics” 2016, vol. 49, https://doi.org/10.1016/j.jmacro.2016.08.003. DOI: https://doi.org/10.1016/j.jmacro.2016.08.003
Eden M., Gaggl P. (2018), On the Welfare Implications of Automation, „Review of Economic Dynamics”, vol. 29, https://doi.org/10.1016/j.red.2017.12.003. DOI: https://doi.org/10.1016/j.red.2017.12.003
Graetz G., Michaels G. (2017), Is Modern Technology Responsible for Jobless Recoveries?, „American Economic Review”, vol. 107, nr 5, https://doi.org/10.1257/aer.p20171100. DOI: https://doi.org/10.1257/aer.p20171100
Korinek A., Stiglitz J. (2017), Artificial Intelligence and Its Implications for Income Distribution and Unemployment, NBER Working Paper, nr 24174, NBER, Cambridge. DOI: https://doi.org/10.3386/w24174
Nordhaus W.D. (2015), Are We Approaching an Economic Singularity? Information Technology and the Future of Economic Growth, NBER Working Paper, nr 21547, NBER, Cambridge. DOI: https://doi.org/10.3386/w21547
Ramaswamy K. (2018), Technological Change, Automation and Employment: A Short Review of Theory and Evidence, Indira Gandhi Institute of Development Research, Mumbai Working Papers, nr 2, Indira Gandhi Institute of Development Research, Mumbai.
Schlogl L., Sumner A. (2018), The Rise of the Robot Reserve Army: Automation and the Future of Economic Development, Work, and Wages in Developing Countries, Center for Global Development Working Paper, nr 487, Center for Global Development, Washington. DOI: https://doi.org/10.2139/ssrn.3208816
Susskind D. (2017), A Model of Technological Unemployment, Oxford University Discussion Paper, nr 819, University of Oxford, Oxford.
UNCTAD Annual Report 2016 (2017), https://unctad.org/en/PublicationsLibrary/dom2017_en.pdf (data dostępu: 10.04.2019).
Vermeulen B., Kesselhut J., Pyka A., Saviotti P. (2018), The Impact of Automation on Employment: Just the Usual Structural Change?, „Sustainability”, vol. 10, nr 5, https://doi.org/10.3390/su10051661. DOI: https://doi.org/10.3390/su10051661
Wolter M.I., Mönnig A., Hummel M., Schneemann C., Weber E., Zika G., Helmrich R., Maier T., Neuber-Pohl C. (2015), Industry 4.0 and the Consequences for Labour Market and Economy, IAB Forschungsbericht, nr 8/2015, Institute for Employment Research of the Federal Employment Agency, Nuremberg.
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