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Fragile robots, economic growth and convergence

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  • Klarl, Torben

Abstract

Technological progress leads to the development of robots that are more error-prone and fragile than their predecessors. Consequently, utilizing the existing automation capital stock is associated with higher wear and tear, CPU overload, communication downtime, and, ultimately, increased depreciation costs. This, in turn, affects new future investments. Considering a growth model with physical and automation capital utilization, we argue that utilized automation capital, not the automation capital stock, is a perfect substitute for labor in a fully automated society. We show that it is not necessarily the introduction of capital utilization alone, but rather the relationship between the elasticities of the utilization of automation and physical capital that slows the convergence speed in a model that reflects an automated society.

Suggested Citation

  • Klarl, Torben, 2022. "Fragile robots, economic growth and convergence," Economic Modelling, Elsevier, vol. 112(C).
  • Handle: RePEc:eee:ecmode:v:112:y:2022:i:c:s0264999322000967
    DOI: 10.1016/j.econmod.2022.105850
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    1. 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.
    2. 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.
    3. Sala-i-Martin, Xavier X, 1996. "The Classical Approach to Convergence Analysis," Economic Journal, Royal Economic Society, vol. 106(437), pages 1019-1036, July.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Imbs, Jean M., 1999. "Technology, growth and the business cycle," Journal of Monetary Economics, Elsevier, vol. 44(1), pages 65-80, August.
    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. 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.
    11. 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.
    12. 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.
    13. 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.
    14. Lankisch, Clemens & Prettner, Klaus & Prskawetz, Alexia, 2019. "How can robots affect wage inequality?," Economic Modelling, Elsevier, vol. 81(C), pages 161-169.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. Susanto Basu & Miles S. Kimball, 1997. "Cyclical Productivity with Unobserved Input Variation," NBER Working Papers 5915, National Bureau of Economic Research, Inc.
    21. 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.
    22. 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).
    23. 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.
    24. Chatterjee, Santanu, 2005. "Capital utilization, economic growth and convergence," Journal of Economic Dynamics and Control, Elsevier, vol. 29(12), pages 2093-2124, December.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    29. Jeffrey D. Sachs & Laurence J. Kotlikoff, 2012. "Smart Machines and Long-Term Misery," NBER Working Papers 18629, National Bureau of Economic Research, Inc.
    30. 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.
    31. Antony, Jürgen & Klarl, Torben, 2020. "The implications of automation for economic growth when investment decisions are irreversible," Economics Letters, Elsevier, vol. 186(C).
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. Larry E. Jones & Rodolfo Manuelli, 1990. "A Convex Model of Equilibrium Growth," NBER Working Papers 3241, National Bureau of Economic Research, Inc.
    37. 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.
    38. 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.
    39. 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.
    40. 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.
    41. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
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    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

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