Technological change and the Scottish labour market
A joint research report between Scottish Government and SUC assessing the potential impact of automation on Scottish work places.
Footnotes
1. McAfee, A. and Brynjolfsson, E. (2014), The Second Machine Age: Work, Progress and Prosperity in a Time of Brilliant Technologies, Norton
2. Frey, C. and Osborne, M. (2013), The Future of Employment, Oxford University
3. IPPR Scotland (2017), Scotland Skills 2030: The Future of Work and the Skills System in Scotland
4. Examples include Susskind and Susskind (2017) The Future of the Professions: How Technology will Transform the Work of Human Experts, Oxford University Press; Ford (2015) The Rise of the Robots: Technology and the Threat of Jobless Future, Basic Books; ‘Robot automation will take 800m jobs by 2030’ BBC News website 29 November 2017; ‘Automation poses a high risk to 1.2m Scottish jobs’ BBC Scotland News website 7 May 2017
5. A discussion on the issues with defining and measuring platform based employment can be found in ‘The feasibility of measuring the sharing economy’, ONS, April 2016
6. ‘When your boss is an algorithm’ Financial Times, 8 September 2016
7. Ibid; Taylor Review of Modern Working Practices, UK Government (2017); Morgan and Nelligan (2018) The Creativity Hoax: Precarious Work in the Gig Economy, Anthem; Taylor, P. (2012) Performance Management and the New Workplace Tyranny, STUC
8. OECD (2016) The Risk of Automation for Jobs in OECD Countries
9. ‘The sticking power of false narratives’, Gavin Kelly blog 10 May 2017
10. Autor, D. (2015) Why are there still so many jobs? The history and future of workplace automation, Journal of Economic Perspectives, Summer 2015
11. Productivity Puzzles, speech by Andy Haldane, Chief Economist, Bank of England March 2017
12. Gordon, R. (2016) The Rise and Fall of American Growth, Princeton University Press; Gordon, R. (2012) Is US Economic Growth over? VoxEu
13. Nordhaus, W. (2015) Are we approaching an economic singularity? Information Technology and the future of economic growth, NBER Working Papers
14. Jones, Jones and Aghion (2017) Artificial Intelligence and Economic Growth, , NBER Conference paper
15. Productivity Puzzles, speech by Andy Haldane, Chief Economist, Bank of England March 2017
16. The Seven Deadly Sins of AI Predictions, MIT Tech Review October 2017
17. The Productivity Paradox, Ryan Avent blog 16 March 2017
18. Brynjolfsson, Rock and Syverson (2017) Artificial Intelligence and the Modern Productivity Paradox, NBER Conference Paper
19. Gordon
20. Baldwin, R. (2016) The Great Convergence, Harvard University Press
21. See for instance McAfee and Brynjolsson (2014); OECD (2016); Autor (2015); Atkinson, A. (2015) Inequality: What Can Be Done?, Harvard University Press; Korinek, A. and Stiglitz, J. (2017) AI, Worker Replacing Technological Change and Income Distribution, NBER Conference paper
22. OECD (2016)
23. Autor (2015)
24. McAfee and Brynjolsson (2014)
25. Labour Force Survey, ONS
26. Secret Agents: Agency workers in the new world of work, Resolution Foundation, December 2016 http://www.resolutionfoundation.org/app/uploads/2016/12/Secret-Agents.pdf
27.
https://www.etui.org/Publications2/Working-Papers/Digitalisation-of-the-economy-and-its-impact-on-labour-markets
https://www.edfenergy.com/sites/default/files/jobs-of-the-future.pdf
http://unions21.org.uk/files1/Unions-21-Changing-World-of-Work.pdf
28. http://www.hse.gov.uk/statistics/regions/tables.htm
31.
http://www.mailonsunday.co.uk/news/article-4401108/Meet-Little-Orange-robot-warehouse-worker-China.html
http://en.prnasia.com/releases/apac/Digital_ingenuity_triumphs_over_logistics_challenges_at_DHL_Asia_Pacific_Innovation_Day-172348.shtml
https://www.logisticsmanager.com/dhl-buys-packing-robots/?utm_source=Subs_LM_Weekly&utm_campaign=a6423a1524-EMAIL_CAMPAIGN_2016_12_19&utm_medium=email&utm_term=0_95229da346-a6423a1524-129213369
32. https://www.dpd.com/de_en/media/press_releases/2016/autonomous_driving_thesis_and_scenarios
33. https://www.judiciary.gov.uk/wp-content/uploads/2016/10/aslam-and-farrar-v-uber-reasons-20161028.pdf
34. http://www.gov.scot/Resource/0053/00530703.pdf
35. Dauth, W, S Findeisen, J Suedekum and N Woessner (2017), “ German robots – The impact of industrial robots on workers”, CEPR Discussion Paper 12306.
36. OECD (2016), Autor (2015), Nesta (2017), Centre for Cities (2018)
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