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The present, past, and future of labor-saving technologies

Author

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  • Jacopo Staccioli

    (Dipartimento di Politica Economica, DISCE, Università Cattolica del Sacro Cuore – Institute of Economics, Scuola Superiore Sant’Anna, Pisa)

  • Maria Enrica Virgillito

    (Institute of Economics, Scuola Superiore Sant’Anna, Pisa – Dipartimento di Politica Economica, DISCE, Università Cattolica del Sacro Cuore)

Abstract

The present chapter provides a historical reappraisal of labor-saving technologies. It reviews and systematizes theoretical contributions and empirical findings documenting the presence of labor- and time-saving heuristics in innovative efforts back since the First Industrial Revolution. More in detail, with the help of various patent analyses, the chapter documents the presence of labor-saving heuristics in the latest wave of technological innovation, detecting the human functions substituted by the underlying technologies. Against a reductionist approach conceiving robots as the only threat for labor displacement, it shall be argued that labor-saving technologies consist of a complex and heterogeneous bundle of innovations uncovering a much wider set of artifacts and functions. Motivated by the recurrent debate on the threats of automation occurring in the last couple of centuries, evidence is provided on the existence of long waves and clusters in relevant innovations, discussing how the overall cluster of labor-saving technologies consists of heterogeneous and often independent innovations following remarkably different time-trajectories. The chapter closes with an outline of potential future trends in labor-saving technologies and room for policy actions.

Suggested Citation

  • Jacopo Staccioli & Maria Enrica Virgillito, 2020. "The present, past, and future of labor-saving technologies," DISCE - Quaderni del Dipartimento di Politica Economica dipe0013, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    • Handle: RePEc:ctc:serie5:dipe0013
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    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. Chris Freeman, 2019. "History, Co-Evolution and Economic Growth," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 28(1), pages 1-44.
    3. Jacopo Staccioli & Maria Enrica Virgillito, 2021. "Back to the past: the historical roots of labor-saving automation," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 11(1), pages 27-57, March.
    4. Cohen, Michael D, et al, 1996. "Routines and Other Recurring Action Patterns of Organizations: Contemporary Research Issues," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 5(3), pages 653-698.
    5. Lawrence F. Katz & Kevin M. Murphy, 1992. "Changes in Relative Wages, 1963–1987: Supply and Demand Factors," The Quarterly Journal of Economics, Oxford University Press, vol. 107(1), pages 35-78.
    6. Michael Koch & Ilya Manuylov & Marcel Smolka, 2021. "Robots and Firms," The Economic Journal, Royal Economic Society, vol. 131(638), pages 2553-2584.
    7. 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.
    8. Marco Grazzi & Chiara Piccardo & Cecilia Vergari, 2020. "Concordance and complementarity in IP instruments," Industry and Innovation, Taylor & Francis Journals, vol. 27(7), pages 756-788, August.
    9. Domini, Giacomo & Grazzi, Marco & Moschella, Daniele & Treibich, Tania, 2021. "Threats and opportunities in the digital era: Automation spikes and employment dynamics," Research Policy, Elsevier, vol. 50(7).
    10. Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019. "The Economics of Artificial Intelligence: An Agenda," NBER Books, National Bureau of Economic Research, Inc, number agra-1, March.
    11. Dosi, Giovanni, 1993. "Technological paradigms and technological trajectories : A suggested interpretation of the determinants and directions of technical change," Research Policy, Elsevier, vol. 22(2), pages 102-103, April.
    12. 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.
    13. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    14. Montobbio, Fabio & Staccioli, Jacopo & Virgillito, Maria Enrica & Vivarelli, Marco, 2022. "Robots and the origin of their labour-saving impact," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    15. Mariacristina Piva & Marco Vivarelli, 2018. "Innovation, jobs, skills and tasks: a multifaceted relationship," DISCE - Quaderni del Dipartimento di Politica Economica dipe0001, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    16. Laura Barbieri & Chiara Mussida & Mariacristina Piva & Marco Vivarelli, 2019. "Testing the employment impact of automation, robots and AI: A survey and some methodological issues," DISCE - Quaderni del Dipartimento di Politica Economica dipe0006, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    17. Carolina Castaldi & Roberto Fontana & Alessandro Nuvolari, 2009. "‘Chariots of fire’: the evolution of tank technology, 1915–1945," Journal of Evolutionary Economics, Springer, vol. 19(4), pages 545-566, August.
    18. Cirillo, Valeria & Rinaldini, Matteo & Staccioli, Jacopo & Virgillito, Maria Enrica, 2021. "Technology vs. workers: the case of Italy’s Industry 4.0 factories," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 166-183.
    19. Giovanni DOSI & Maria Enrica VIRGILLITO, 2019. "Whither the evolution of the contemporary social fabric? New technologies and old socio‐economic trends," International Labour Review, International Labour Organization, vol. 158(4), pages 593-625, December.
    20. Taalbi, Josef, 2017. "What drives innovation? Evidence from economic history," Research Policy, Elsevier, vol. 46(8), pages 1437-1453.
    21. Giovanni Dosi & Pierre Mohnen, 2019. "Innovation and employment: an introduction," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 28(1), pages 45-49.
    22. Armanda Cetrulo & Dario Guarascio & Maria Enrica Virgillito, 2020. "Anatomy of the Italian occupational structure: concentrated power and distributed knowledge," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 29(6), pages 1345-1379.
    23. 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.
    24. Mariacristina Piva & Marco Vivarelli, 2018. "Technological change and employment: is Europe ready for the challenge?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 8(1), pages 13-32, March.
    25. Angelo Moro & Matteo Rinaldini & Jacopo Staccioli & Maria Enrica Virgillito, 2019. "Control in the era of surveillance capitalism: an empirical investigation of Italian Industry 4.0 factories," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 46(3), pages 347-360, September.
    26. Dosi, G. & Piva, M. & Virgillito, M.E. & Vivarelli, M., 2021. "Embodied and disembodied technological change: The sectoral patterns of job-creation and job-destruction," Research Policy, Elsevier, vol. 50(4).
    27. Tunzelmann G. N. von, 1995. "Time-Saving Technical Change: The Cotton Industry in the English Industrial Revolution," Explorations in Economic History, Elsevier, vol. 32(1), pages 1-27, January.
    28. Agrawal, Ajay & Gans, Joshua & Goldfarb, Avi (ed.), 2019. "The Economics of Artificial Intelligence," National Bureau of Economic Research Books, University of Chicago Press, number 9780226613338, December.
    29. Pfeiffer, Sabine, 2018. "The "future of employment" on the shop floor: Why production jobs are less susceptible to computerization than assumed," International Journal for Research in Vocational Education and Training (IJRVET), European Research Network in Vocational Education and Training (VETNET), European Educational Research Association, vol. 5(3), pages 208-225.
    30. Martinelli, Arianna, 2012. "An emerging paradigm or just another trajectory? Understanding the nature of technological changes using engineering heuristics in the telecommunications switching industry," Research Policy, Elsevier, vol. 41(2), pages 414-429.
    31. Giovanni Dosi & Mariacristina Piva & Maria Enrica Virgillito & Marco Vivarelli, 2019. "Technology and employment in a vertically connected economy: a model and an empirical test," DISCE - Quaderni del Dipartimento di Politica Economica dipe0005, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    32. Pardi, Tommaso. & Krzywdzinski, Martin. & Luethje, Boy., 2020. "Digital manufacturing revolutions as political projects and hypes evidences from the auto sector," ILO Working Papers 995073193302676, International Labour Organization.
    33. 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.
    34. Jeremy Atack & Robert A. Margo & Paul Rhode, 2020. "‘Mechanization Takes Command’: Inanimate Power and Labor Productivity in Late Nineteenth Century American Manufacturing," NBER Working Papers 27436, National Bureau of Economic Research, Inc.
    35. Magda Fontana & Martina Iori & Fabio Montobbio & Roberta Sinatra, 2018. "A bridge over troubled water: Interdisciplinarity, Novelty, and Impact," DISCE - Quaderni del Dipartimento di Politica Economica dipe0002, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    36. Marco Vivarelli, 1995. "The Economics of Technology and Employment," Books, Edward Elgar Publishing, number 458.
    37. Ljubica Nedelkoska & Glenda Quintini, 2018. "Automation, skills use and training," OECD Social, Employment and Migration Working Papers 202, OECD Publishing.
    38. Lorenzo Esposito & Ettore Giuseppe Gatti & Giuseppe Mastromatteo, 2019. "Sustainable finance, the good, the bad and the ugly: a critical assessment of the EU institutional framework for the green transition," DISCE - Quaderni del Dipartimento di Politica Economica dipe0004, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    39. Flavio Calvino & Maria Enrica Virgillito, 2018. "The Innovation†Employment Nexus: A Critical Survey Of Theory And Empirics," Journal of Economic Surveys, Wiley Blackwell, vol. 32(1), pages 83-117, February.
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    Cited by:

    1. Dosi, G. & Pereira, M.C. & Roventini, A. & Virgillito, M.E., 2022. "Technological paradigms, labour creation and destruction in a multi-sector agent-based model," Research Policy, Elsevier, vol. 51(10).
    2. Cresti, Lorenzo & Dosi, Giovanni & Fagiolo, Giorgio, 2023. "Technological interdependencies and employment changes in European industries," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 41-57.
    3. Pedro H. Albuquerque & Sophie Albuquerque, 2023. "Social Implications of Technological Disruptions: A Transdisciplinary Cybernetics Science and Occupational Science Perspective," AMSE Working Papers 2313, Aix-Marseille School of Economics, France.
    4. Angelo Moro & Maria Enrica Virgillito, 2022. "Towards Factory 4.0? Convergence and divergence of lean models in Italian automotive plants," International Journal of Automotive Technology and Management, Inderscience Enterprises Ltd, vol. 22(2), pages 245-271.

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    More about this item

    Keywords

    Human-Machine Relationship; History of Technology; Labor-Saving Heuristics;
    All these keywords.

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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