IDEAS home Printed from https://ideas.repec.org/p/atv/wpaper/2202.html
   My bibliography  Save this paper

Fragile Robots, Economic Growth and Convergence

Author

Listed:
  • Torben Klarl

Abstract

Technological progress leads to the development of robots that are more error-prone and fragile than their predecessors. As a consequence, the utilization of the existing automation capital stock is associated with higher wear and tear, CPU overload or communication downtime and, as a consequence, an increase of depreciation costs. This in turn affect new investments in the future. Considering a growth model with physical and automation capital utilization, we argue that in a fully automated society, the utilized automation capital is a perfect substitute for labor, not the automation capital stock per se. We show that it is not necessarily the introduction of capital utilization by itself, but the relationship between the elasticities of utilization of automation and physical capital that plays a crucial role in slowing down the convergence speed in a model that reflects an automated society.

Suggested Citation

  • Torben Klarl, 2022. "Fragile Robots, Economic Growth and Convergence," Bremen Papers on Economics & Innovation 2202, University of Bremen, Faculty of Business Studies and Economics.
  • Handle: RePEc:atv:wpaper:2202
    DOI: https://doi.org/10.26092/elib/1479
    as

    Download full text from publisher

    File URL: https://media.suub.uni-bremen.de/bitstream/elib/5856/3/Fragile%20Robots%2c%20Economic%20Growth%20and%20Convergence_Klarl_IERP.pdf
    Download Restriction: no

    File URL: https://libkey.io/https://doi.org/10.26092/elib/1479?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    2. Sala-i-Martin, Xavier X, 1996. "The Classical Approach to Convergence Analysis," Economic Journal, Royal Economic Society, vol. 106(437), pages 1019-1036, July.
    3. Turnovsky, Stephen J, 2004. "The Transitional Dynamics of Fiscal Policy: Long-Run Capital Accumulation and Growth," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(5), pages 883-910, October.
    4. Shapiro, Matthew D, 1986. "Capital Utilization and Capital Accumulation: Theory and Evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(3), pages 211-234, July.
    5. J. Beaulieu & Joe Mattey, 1998. "The Workweek of Capital and Capital Utilization in Manufacturing," Journal of Productivity Analysis, Springer, vol. 10(2), pages 199-223, October.
    6. Chatterjee, Santanu, 2005. "Capital utilization, economic growth and convergence," Journal of Economic Dynamics and Control, Elsevier, vol. 29(12), pages 2093-2124, December.
    7. Imbs, Jean M., 1999. "Technology, growth and the business cycle," Journal of Monetary Economics, Elsevier, vol. 44(1), pages 65-80, August.
    8. David Cass, 1965. "Optimum Growth in an Aggregative Model of Capital Accumulation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 32(3), pages 233-240.
    9. Monteiro, Goncalo & Cook, Adam & Dey, Sanjoy, 2013. "Optimal tax policy under habit formation and capital utilization," Journal of Macroeconomics, Elsevier, vol. 37(C), pages 230-248.
    10. Klarl, Torben, 2016. "Pollution externalities, endogenous health and the speed of convergence in an endogenous growth model," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 98-113.
    11. Prettner, Klaus, 2019. "A Note On The Implications Of Automation For Economic Growth And The Labor Share," Macroeconomic Dynamics, Cambridge University Press, vol. 23(3), pages 1294-1301, April.
    12. Maynou, Laia & Ordóñez, Javier & Silva, José Ignacio, 2022. "Convergence and determinants of young people not in employment, education or training: An European regional analysis," Economic Modelling, Elsevier, vol. 110(C).
    13. Chatterjee, Santanu & Mahbub Morshed, A.K.M., 2011. "Reprint to: Infrastructure provision and macroeconomic performance," Journal of Economic Dynamics and Control, Elsevier, vol. 35(9), pages 1405-1423, September.
    14. Daron Acemoglu & Pascual Restrepo, 2018. "Low-Skill and High-Skill Automation," Journal of Human Capital, University of Chicago Press, vol. 12(2), pages 204-232.
    15. Greenwood, Jeremy & Hercowitz, Zvi & Huffman, Gregory W, 1988. "Investment, Capacity Utilization, and the Real Business Cycle," American Economic Review, American Economic Association, vol. 78(3), pages 402-417, June.
    16. Jeffrey D. Sachs & Seth G. Benzell & Guillermo LaGarda, 2015. "Robots: Curse or Blessing? A Basic Framework," NBER Working Papers 21091, National Bureau of Economic Research, Inc.
    17. Larry E. Jones & Rodolfo Manuelli, 1990. "A Convex Model of Equilibrium Growth," NBER Working Papers 3241, National Bureau of Economic Research, Inc.
    18. Burnside, Craig & Eichenbaum, Martin, 1996. "Factor-Hoarding and the Propagation of Business-Cycle Shocks," American Economic Review, American Economic Association, vol. 86(5), pages 1154-1174, December.
    19. 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.
    20. Eicher, Theo S & Turnovsky, Stephen J, 1999. "Convergence in a Two-Sector Nonscale Growth Model," Journal of Economic Growth, Springer, vol. 4(4), pages 413-428, December.
    21. N. Gregory Mankiw & David Romer & David N. Weil, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(2), pages 407-437.
    22. Dalgaard Carl-Johan, 2003. "Idle Capital and Long-Run Productivity," The B.E. Journal of Macroeconomics, De Gruyter, vol. 3(1), pages 1-44, July.
    23. Finn, Mary G., 1995. "Variance properties of Solow's productivity residual and their cyclical implications," Journal of Economic Dynamics and Control, Elsevier, vol. 19(5-7), pages 1249-1281.
    24. Sala-i-Martin, Xavier, 1994. "Cross-sectional regressions and the empirics of economic growth," European Economic Review, Elsevier, vol. 38(3-4), pages 739-747, April.
    25. Robert M. Solow, 1956. "A Contribution to the Theory of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 70(1), pages 65-94.
    26. Jeffrey D. Sachs & Laurence J. Kotlikoff, 2012. "Smart Machines and Long-Term Misery," NBER Working Papers 18629, National Bureau of Economic Research, Inc.
    27. 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.
    28. Eicher, Theo S & Turnovsky, Stephen J, 1999. "Non-scale Models of Economic Growth," Economic Journal, Royal Economic Society, vol. 109(457), pages 394-415, July.
    29. Prettner Klaus & Geiger Niels & Schwarzer Johannes A., 2018. "Die Auswirkungen der Automatisierung auf Wachstum, Beschäftigung und Ungleichheit," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 19(2), pages 59-77, July.
    30. Jones, Larry E & Manuelli, Rodolfo E, 1990. "A Convex Model of Equilibrium Growth: Theory and Policy Implications," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 1008-1038, October.
    31. Berg, Andrew & Buffie, Edward F. & Zanna, Luis-Felipe, 2018. "Should we fear the robot revolution? (The correct answer is yes)," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 117-148.
    32. Thomas Piketty & Emmanuel Saez, 2003. "Income Inequality in the United States, 1913–1998," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 1-41.
    33. Prettner, Klaus & Strulik, Holger, 2020. "Innovation, automation, and inequality: Policy challenges in the race against the machine," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 249-265.
    34. Foss, Murray F, 1981. "Long-Run Changes in the Workweek of Fixed Capital," American Economic Review, American Economic Association, vol. 71(2), pages 58-63, May.
    35. Antony, Jürgen & Klarl, Torben, 2020. "The implications of automation for economic growth when investment decisions are irreversible," Economics Letters, Elsevier, vol. 186(C).
    36. Ortigueira, Salvador & Santos, Manuel S, 1997. "On the Speed of Convergence in Endogenous Growth Models," American Economic Review, American Economic Association, vol. 87(3), pages 383-399, June.
    37. Susanto Basu & Miles S. Kimball, 1997. "Cyclical Productivity with Unobserved Input Variation," NBER Working Papers 5915, National Bureau of Economic Research, Inc.
    38. Chatterjee, Santanu & Mahbub Morshed, A.K.M., 2011. "Infrastructure provision and macroeconomic performance," Journal of Economic Dynamics and Control, Elsevier, vol. 35(8), pages 1288-1306, August.
    39. Martin Labaj & Daniel Dujava, 2019. "Economic growth and convergence during the transition to production using automation capital," Department of Economic Policy Working Paper Series 017, Department of Economic Policy, Faculty of National Economy, University of Economics in Bratislava.
    40. Lankisch, Clemens & Prettner, Klaus & Prskawetz, Alexia, 2019. "How can robots affect wage inequality?," Economic Modelling, Elsevier, vol. 81(C), pages 161-169.
    41. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gomes Orlando, 2024. "Economic Growth in the Age of Ubiquitous Threats: How Global Risks are Reshaping Growth Theory," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 18(1), pages 1-15, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chatterjee, Santanu, 2005. "Capital utilization, economic growth and convergence," Journal of Economic Dynamics and Control, Elsevier, vol. 29(12), pages 2093-2124, December.
    2. Abeliansky, Ana & Prettner, Klaus, 2017. "Automation and demographic change," University of Göttingen Working Papers in Economics 310, University of Goettingen, Department of Economics.
    3. Gasteiger, Emanuel & Prettner, Klaus, 2022. "Automation, Stagnation, And The Implications Of A Robot Tax," Macroeconomic Dynamics, Cambridge University Press, vol. 26(1), pages 218-249, January.
    4. Turnovsky, S., 2000. "Growth in an Open Economy: some Recent Developments," Papers 5, Warwick - Development Economics Research Centre.
    5. Jakub Growiec, 2019. "The Hardware-Software Model: A New Conceptual Framework of Production, R&D, and Growth with AI," KAE Working Papers 2019-042, Warsaw School of Economics, Collegium of Economic Analysis.
    6. Diego Romero-Avila & DIEGO ROMERO-ÁVILA & ILASKI BARAÑANO, 2012. "Long-Term Growth and Persistence with Endogenous Depreciation: Theory and Evidence," EcoMod2012 3757, EcoMod.
    7. Dario Cords & Klaus Prettner, 2022. "Technological unemployment revisited: automation in a search and matching framework [The future of work: meeting the global challenges of demographic change and automation]," Oxford Economic Papers, Oxford University Press, vol. 74(1), pages 115-135.
    8. Chatterjee, Santanu & Mahbub Morshed, A.K.M., 2011. "Reprint to: Infrastructure provision and macroeconomic performance," Journal of Economic Dynamics and Control, Elsevier, vol. 35(9), pages 1405-1423, September.
    9. Prettner, Klaus & Strulik, Holger, 2020. "Innovation, automation, and inequality: Policy challenges in the race against the machine," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 249-265.
    10. repec:ehu:ikerla:9547 is not listed on IDEAS
    11. Chatterjee, Santanu & Mahbub Morshed, A.K.M., 2011. "Infrastructure provision and macroeconomic performance," Journal of Economic Dynamics and Control, Elsevier, vol. 35(8), pages 1288-1306, August.
    12. Pablo Casas & José L. Torres, 2023. "Automation, automatic capital returns, and the functional income distribution," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 32(1), pages 113-135, January.
    13. Lankisch, Clemens & Prettner, Klaus & Prskawetz, Alexia, 2019. "How can robots affect wage inequality?," Economic Modelling, Elsevier, vol. 81(C), pages 161-169.
    14. Abeliansky, Ana Lucia & Prettner, Klaus, 2023. "Automation and population growth: Theory and cross-country evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 208(C), pages 345-358.
    15. Turnovsky, Stephen J., 2002. "Intertemporal and intratemporal substitution, and the speed of convergence in the neoclassical growth model," Journal of Economic Dynamics and Control, Elsevier, vol. 26(9-10), pages 1765-1785, August.
    16. Ana Lucia Abeliansky & Klaus Prettner, 2021. "Population Growth and Automation Density: Theory and CrossCountry Evidence," VID Working Papers 2102, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.
    17. Steger, Thomas M., 2002. "Transitional dynamics in R&D-based models of endogenous growth," Wirtschaftswissenschaftliche Diskussionspapiere 04/2002, University of Greifswald, Faculty of Law and Economics.
    18. Stähler, Nikolai, 2021. "The Impact of Aging and Automation on the Macroeconomy and Inequality," Journal of Macroeconomics, Elsevier, vol. 67(C).
    19. Nazrul Islam, 2003. "What have We Learnt from the Convergence Debate?," Journal of Economic Surveys, Wiley Blackwell, vol. 17(3), pages 309-362, July.
    20. Boikos, Spyridon, 2020. "Capital utilization, obsolescence and technological progress," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    21. Aykut Kibritçioglu, 2002. "On the Smithian origins of "new" trade and growth theories," Economics Bulletin, AccessEcon, vol. 2(1), pages 1-15.

    More about this item

    Keywords

    Automation; Capital Utilization; Perpetual Economic Growth;
    All these keywords.

    JEL classification:

    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:atv:wpaper:2202. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Matheus Eduardo Leusin (email available below). General contact details of provider: https://edirc.repec.org/data/iibrede.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.