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Automation and Taxation

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  • Kerstin Hotte
  • Angelos Theodorakopoulos
  • Pantelis Koutroumpis

Abstract

Decomposing taxes by source (labor, capital, sales), we analyze the impact of automation on tax revenues and the structure of taxation in 19 EU countries during 1995-2016. Pre-2008, robot diffusion lead to decreasing factor and tax income, and a shift from taxes on capital to goods. ICTs changed the structure of taxation from capital to labor, with decreasing employment, but increasing wages and labor income. Post-2008, we find an ICT-induced increase in capital income and services, but no effect on taxation from ICT/robots. Overall, automation goes through various phases with heterogeneous economic effects which impact the amount and structure of taxes. Whether automation erodes taxation depends on the technology and stage of diffusion, and thus concerns about public budgets might be myopic when focusing on the short-run and ignoring relevant technological trends.

Suggested Citation

  • Kerstin Hotte & Angelos Theodorakopoulos & Pantelis Koutroumpis, 2021. "Automation and Taxation," Papers 2103.04111, arXiv.org, revised Apr 2022.
    • Handle: RePEc:arx:papers:2103.04111
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    1. Tarek Benjamin Moll & Lukasz Rachel & Pascual Restrepo, 2019. "Uneven Growth: Automation’s Impact on Income and Wealth Inequality," Boston University - Department of Economics - The Institute for Economic Development Working Papers Series dp-333, Boston University - Department of Economics.
    2. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    3. Melanie Arntz & Terry Gregory & Ulrich Zierahn, 2016. "The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis," OECD Social, Employment and Migration Working Papers 189, OECD Publishing.
    4. David Autor & David Dorn & Lawrence F Katz & Christina Patterson & John Van Reenen, 2020. "The Fall of the Labor Share and the Rise of Superstar Firms [“Automation and New Tasks: How Technology Displaces and Reinstates Labor”]," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(2), pages 645-709.
    5. Ángeles Castro Gerardo & Ramírez Camarillo Diana Berenice, 2014. "Determinants of tax revenue in OECD countries over the period 2001-2011," Contaduría y Administración, Accounting and Management, vol. 59(3), pages 35-60, julio-sep.
    6. Sotiris Blanas & Gino Gancia & Sang Yoon (Tim) Lee, 2019. "Who is afraid of machines?," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 34(100), pages 627-690.
    7. Daron Acemoglu & Andrea Manera & Pascual Restrepo, 2020. "Does the US Tax Code Favor Automation?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 51(1 (Spring), pages 231-300.
    8. Brent Neiman, 2014. "The Global Decline of the Labor Share," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(1), pages 61-103.
    9. Philippe Aghion & Benjamin F. Jones & Charles I. Jones, 2018. "Artificial Intelligence and Economic Growth," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 237-282, National Bureau of Economic Research, Inc.
    10. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    11. Aghion, Philippe & Bergeaud, Antonin Jean Jacob & Blundell, Richard & Griffith, Rachel, 2019. "The innovation premium to soft skills in low-skilled occupations," LSE Research Online Documents on Economics 103452, London School of Economics and Political Science, LSE Library.
    12. Sørensen, Bent E & Kalemli-Özcan, Sebnem & Volosovych, Vadym & Villegas-Sanchez, Carolina & Yesiltas, Sevcan, 2015. "How to construct nationally representative firm level data from the ORBIS global database," CEPR Discussion Papers 10829, C.E.P.R. Discussion Papers.
    13. Matej Bajgar & Giuseppe Berlingieri & Sara Calligaris & Chiara Criscuolo & Jonathan Timmis, 2020. "Coverage and representativeness of Orbis data," OECD Science, Technology and Industry Working Papers 2020/06, OECD Publishing.
    14. Gregory, Terry & Salomons, Anna & Zierahn, Ulrich, 2016. "Racing With or Against the Machine? Evidence from Europe," VfS Annual Conference 2016 (Augsburg): Demographic Change 145843, Verein für Socialpolitik / German Economic Association.
    15. Faber, Marius, 2020. "Robots and reshoring: Evidence from Mexican labor markets," Journal of International Economics, Elsevier, vol. 127(C).
    16. de Vries, Gaaitzen J. & Gentile, Elisabetta & Miroudot, Sébastien & Wacker, Konstantin M., 2020. "The rise of robots and the fall of routine jobs," Labour Economics, Elsevier, vol. 66(C).
    17. Süssmuth, Bernd & Irmen, Andreas & Heer, Burkhard, 2020. "Taxation, Automation Capital, and the Functional Income Distribution," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224572, Verein für Socialpolitik / German Economic Association.
    18. Simcha Barkai, 2020. "Declining Labor and Capital Shares," Journal of Finance, American Finance Association, vol. 75(5), pages 2421-2463, October.
    19. Dan Andrews & Chiara Criscuolo & Peter N. Gal, 2016. "The Best versus the Rest: The Global Productivity Slowdown, Divergence across Firms and the Role of Public Policy," OECD Productivity Working Papers 5, OECD Publishing.
    20. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    21. Hettich,Walter & Winer,Stanley L., 2005. "Democratic Choice and Taxation," Cambridge Books, Cambridge University Press, number 9780521021807.
    22. James Bessen, 2019. "Automation and jobs: when technology boosts employment," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 34(100), pages 589-626.
    23. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    24. Sebnem Kalemli-Ozcan & Bent Sorensen & Carolina Villegas-Sanchez & Vadym Volosovych & Sevcan Yesiltas, 2015. "How to Construct Nationally Representative Firm Level Data from the Orbis Global Database: New Facts and Aggregate Implications," NBER Working Papers 21558, National Bureau of Economic Research, Inc.
    25. Diamond, Peter A & Mirrlees, James A, 1971. "Optimal Taxation and Public Production: I--Production Efficiency," American Economic Review, American Economic Association, vol. 61(1), pages 8-27, March.
    26. Anton Korinek & Joseph E. Stiglitz, 2018. "Artificial Intelligence and Its Implications for Income Distribution and Unemployment," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 349-390, National Bureau of Economic Research, Inc.
    27. Gasteiger, Emanuel & Prettner, Klaus, 2017. "A note on automation, stagnation, and the implications of a robot tax," Discussion Papers 2017/17, Free University Berlin, School of Business & Economics.
    28. Dan Andrews & Chiara Criscuolo & Peter N. Gal, 2015. "Frontier Firms, Technology Diffusion and Public Policy: Micro Evidence from OECD Countries," OECD Productivity Working Papers 2, OECD Publishing.
    29. Huang, Xu & Hu, Yan & Dong, Zhiqiang, 2019. "The macroeconomic consequences of artificial intelligence: A theoretical framework," Economics Discussion Papers 2019-48, Kiel Institute for the World Economy (IfW Kiel).
    30. Amat Adarov & Robert Stehrer, 2019. "Tangible and Intangible Assets in the Growth Performance of the EU, Japan and the US," wiiw Research Reports 442, The Vienna Institute for International Economic Studies, wiiw.
    31. James Bessen & Maarten Goos & Anna Salomons & Wiljan van den Berge, 2020. "Firm-Level Automation: Evidence from the Netherlands," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 389-393, May.
    32. Ljubica Nedelkoska & Glenda Quintini, 2018. "Automation, skills use and training," OECD Social, Employment and Migration Working Papers 202, OECD Publishing.
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