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A tax on robots? Some food for thought

Author

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  • Germana Bottone

    (Ministry of Economy and Finance of Italy)

Abstract

Tax administrations face new and ever greater challenges. Some data collected show that the use of industrial robots has been increasing since 1990; therefore their entry in our life is not more a fantasy and it will generate relevant changes in legal, economic and social systems. As far as tax policy is concerned, if robots have a high elasticity of substitution with labour a fall in tax revenue is expected, as labour taxes represent a significant portion of tax revenue. In addition, since robotization seems to jeopardise especially routine and low skilled workers, governments need growing public resources to be invested in education and training system. Starting from these premises, the paper deals with the possible design and the effects of the introduction of a robot tax.

Suggested Citation

  • Germana Bottone, 2018. "A tax on robots? Some food for thought," Working Papers wp2018-3, Ministry of Economy and Finance, Department of Finance.
    • Handle: RePEc:ahg:wpaper:wp2018-3
    as

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    References listed on IDEAS

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    1. Markus C. Becker & Nathalie Lazaric & Richard R. Nelson & Sidney G. Winter, 2005. "Applying organizational routines in understanding organizational change," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 14(5), pages 775-791, October.
    2. Hideaki Hirata & M. Ayhan Kose & Christopher Otrok & Marco E Terrones, 2013. "Global House Price Fluctuations: Synchronization and Determinants," NBER International Seminar on Macroeconomics, University of Chicago Press, vol. 9(1), pages 119-166.
    3. Harrison, Rupert & Jaumandreu, Jordi & Mairesse, Jacques & Peters, Bettina, 2014. "Does innovation stimulate employment? A firm-level analysis using comparable micro-data from four European countries," International Journal of Industrial Organization, Elsevier, vol. 35(C), pages 29-43.
    4. repec:oec:stiaaa:2016/2-en is not listed on IDEAS
    5. Joao Guerreiro & Sergio Rebelo & Pedro Teles, 2022. "Should Robots Be Taxed? [Skills, Tasks and Technologies: Implications for Employment and Earnings]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(1), pages 279-311.
    6. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    7. Tsu-ting Tim Lin & Charles L. Weise, 2019. "A New Keynesian Model with Robots: Implications for Business Cycles and Monetary Policy," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 47(1), pages 81-101, March.
    8. Ian Holliday, 2000. "Productivist Welfare Capitalism: Social Policy in East Asia," Political Studies, Political Studies Association, vol. 48(4), pages 706-723, September.
    9. Daron Acemoglu & Pascual Restrepo, 2017. "Robots and Jobs: Evidence from US Labor Markets," Boston University - Department of Economics - Working Papers Series dp-297, Boston University - Department of Economics.
    10. Robert J. Gordon, 2012. "Is U.S. Economic Growth Over? Faltering Innovation Confronts the Six Headwinds," NBER Working Papers 18315, National Bureau of Economic Research, Inc.
    11. Daron Acemoglu & Suresh Naidu & Pascual Restrepo & James A. Robinson, 2013. "Democracy, Redistribution and Inequality," NBER Working Papers 19746, National Bureau of Economic Research, Inc.
    12. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    13. Marcel Fafchamps & Julien Labonne, 2017. "Do Politicians’ Relatives Get Better Jobs? Evidence from Municipal Elections," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 33(2), pages 268-300.
    14. Alex Coad & Rekha Rao, 2011. "The firm-level employment effects of innovations in high-tech US manufacturing industries," Journal of Evolutionary Economics, Springer, vol. 21(2), pages 255-283, May.
    15. Federico Cingano, 2014. "Trends in Income Inequality and its Impact on Economic Growth," OECD Social, Employment and Migration Working Papers 163, OECD Publishing.
    16. Andri Chassamboulli & Pedro Gomes, 2018. "Meritocracy, Public-Sector Pay and Human Capital Accumulation," University of Cyprus Working Papers in Economics 08-2018, University of Cyprus Department of Economics.
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    More about this item

    Keywords

    Artificial intelligence; Government Expenditures and Education; Fiscal policy;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory

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