IDEAS home Printed from https://ideas.repec.org/a/eee/respol/v50y2021i4s0048733321000032.html
   My bibliography  Save this article

Embodied and disembodied technological change: The sectoral patterns of job-creation and job-destruction

Author

Listed:
  • Dosi, G.
  • Piva, M.
  • Virgillito, M.E.
  • Vivarelli, M.

Abstract

This paper addresses, both theoretically and empirically, the sectoral patterns of job creation and job destruction in order to distinguish the alternative effects of embodied vs disembodied technological change operating into a two-sector economy. Disembodied technological change turns out to positively affect employment dynamics in the “upstream” sectors, while expansionary investment does so in the “downstream” industries. However, these labour-friendly impacts are barely significant from a statistical point of view. Conversely, the replacement of obsolete capital vintages tends to exert a negative impact on labour demand and this effect turns out to be highly significant.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:respol:v:50:y:2021:i:4:s0048733321000032
    DOI: 10.1016/j.respol.2021.104199
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0048733321000032
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.respol.2021.104199?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
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Marco Vivarelli, 2014. "Innovation, Employment and Skills in Advanced and Developing Countries: A Survey of Economic Literature," Journal of Economic Issues, Taylor & Francis Journals, vol. 48(1), pages 123-154.
    2. Giovanni Dosi & Marco Grazzi & Luigi Marengo & Simona Settepanella, 2016. "Production Theory: Accounting for Firm Heterogeneity and Technical Change," Journal of Industrial Economics, Wiley Blackwell, vol. 64(4), pages 875-907, December.
    3. Stephen Bond & Anke Hoeffler & Jonathan Temple, 2001. "GMM Estimation of Empirical Growth Models," Economics Papers 2001-W21, Economics Group, Nuffield College, University of Oxford.
    4. Van Reenen, John, 1997. "Employment and Technological Innovation: Evidence from U.K. Manufacturing Firms," Journal of Labor Economics, University of Chicago Press, vol. 15(2), pages 255-284, April.
    5. Lachenmaier, Stefan & Rottmann, Horst, 2011. "Effects of innovation on employment: A dynamic panel analysis," International Journal of Industrial Organization, Elsevier, vol. 29(2), pages 210-220, March.
    6. Eric J. Bartelsman & Martin Falk & Eva Hagsten & Michael Polder, 2019. "Productivity, technological innovations and broadband connectivity: firm-level evidence for ten European countries," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 9(1), pages 25-48, March.
    7. Dosi, Giovanni & Nelson, Richard R., 2010. "Technical Change and Industrial Dynamics as Evolutionary Processes," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 51-127, Elsevier.
    8. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    9. Jun Hou & Can Huang & Georg Licht & Jacques Mairesse & Pierre Mohnen & Benoît Mulkay & Bettina Peters & Yilin Wu & Yanyun Zhao & Feng Zhen, 2019. "Does innovation stimulate employment? Evidence from China, France, Germany, and The Netherlands," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 28(1), pages 109-121.
    10. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    11. Giovanni Dosi & Marcelo C. Pereira & Maria Enrica Virgillito, 2017. "The footprint of evolutionary processes of learning and selection upon the statistical properties of industrial dynamics," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 26(2), pages 187-210.
    12. Bogliacino, Francesco & Piva, Mariacristina & Vivarelli, Marco, 2012. "R&D and employment: An application of the LSDVC estimator using European microdata," Economics Letters, Elsevier, vol. 116(1), pages 56-59.
    13. 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.
    14. Francesco Bogliacino & Mario Pianta, 2016. "The Pavitt Taxonomy, revisited: patterns of innovation in manufacturing and services," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 33(2), pages 153-180, August.
    15. 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.
    16. Nathalie Greenan & Dominique Guellec, 2000. "Technological Innovation and Employment Reallocation," LABOUR, CEIS, vol. 14(4), pages 547-590, December.
    17. 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.
    18. Horst Feldmann, 2013. "Technological unemployment in industrial countries," Journal of Evolutionary Economics, Springer, vol. 23(5), pages 1099-1126, November.
    19. L. Aldieri & C. P. Vinci, 2018. "Innovation effects on employment in high-tech and low-tech industries: evidence from large international firms within the triad," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 8(2), pages 229-243, June.
    20. Mukoyama, Toshihiko, 2006. "Rosenberg's "learning by using" and technology diffusion," Journal of Economic Behavior & Organization, Elsevier, vol. 61(1), pages 123-144, September.
    21. Bruno, Giovanni S.F., 2005. "Approximating the bias of the LSDV estimator for dynamic unbalanced panel data models," Economics Letters, Elsevier, vol. 87(3), pages 361-366, June.
    22. Gustavo Crespi & Ezequiel Tacsir & Mariano Pereira, 2019. "Effects of innovation on employment in Latin America," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 28(1), pages 139-159.
    23. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    24. Bun, Maurice J. G. & Kiviet, Jan F., 2003. "On the diminishing returns of higher-order terms in asymptotic expansions of bias," Economics Letters, Elsevier, vol. 79(2), pages 145-152, May.
    25. Mariacristina Piva & Marco Vivarelli, 2007. "Is demand-pulled innovation equally important in different groups of firms?," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 31(5), pages 691-710, September.
    26. Bogliacino, Francesco & Pianta, Mario, 2010. "Innovation and Employment: a Reinvestigation using Revised Pavitt classes," Research Policy, Elsevier, vol. 39(6), pages 799-809, July.
    27. 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.
    28. Marco Vivarelli, 2013. "Technology, Employment and Skills: An Interpretative Framework," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 3(1), pages 66-89, June.
    29. 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.
    30. Giovanni S. F. Bruno, 2005. "Estimation and inference in dynamic unbalanced panel-data models with a small number of individuals," Stata Journal, StataCorp LP, vol. 5(4), pages 473-500, December.
    31. 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.
    32. Martin Falk & Eva Hagsten, 2018. "Employment impacts of market novelty sales: evidence for nine European Countries," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 8(2), pages 119-137, June.
    33. Gabriele Pellegrino & Mariacristina Piva, 2020. "Innovation, industry and firm age: are there new knowledge production functions?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 10(1), pages 65-95, March.
    34. Pavitt, Keith, 1984. "Sectoral patterns of technical change: Towards a taxonomy and a theory," Research Policy, Elsevier, vol. 13(6), pages 343-373, December.
    35. Dosi, Giovanni & Fagiolo, Giorgio & Roventini, Andrea, 2010. "Schumpeter meeting Keynes: A policy-friendly model of endogenous growth and business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1748-1767, September.
    36. Scherer, F M, 1982. "Demand-Pull and Technological Invention: Schmookler Revisited," Journal of Industrial Economics, Wiley Blackwell, vol. 30(3), pages 225-237, March.
    37. Tommaso Antonucci & Mario Pianta, 2002. "Employment Effects of Product and Process Innovation in Europe," International Review of Applied Economics, Taylor & Francis Journals, vol. 16(3), pages 295-307.
    38. Dale W. Jorgenson, 1966. "The Embodiment Hypothesis," Journal of Political Economy, University of Chicago Press, vol. 74(1), pages 1-1.
    39. Hildenbrand, Werner, 1981. "Short-Run Production Functions Based on Microdata," Econometrica, Econometric Society, vol. 49(5), pages 1095-1125, September.
    40. Laura Barbieri & Mariacristina Piva & Marco Vivarelli, 2019. "R&D, embodied technological change, and employment: evidence from Italian microdata," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 28(1), pages 203-218.
    41. Giovanni Dosi & Richard Nelson, 2013. "The Evolution of Technologies: An Assessment of the State-of-the-Art," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 3(1), pages 3-46, June.
    42. 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.
    43. Xiaodan Yu & Giovanni Dosi & Jiasu Lei & Alessandro Nuvolari, 2015. "Editor's Choice Institutional change and productivity growth in China’s manufacturing: the microeconomics of knowledge accumulation and "creative restructuring"," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 24(3), pages 565-602.
    44. Andrea Conte & Marco Vivarelli, 2014. "Succeeding in innovation: key insights on the role of R&D and technological acquisition drawn from company data," Empirical Economics, Springer, vol. 47(4), pages 1317-1340, December.
    45. David, Paul A, 1985. "Clio and the Economics of QWERTY," American Economic Review, American Economic Association, vol. 75(2), pages 332-337, May.
    46. Ricardo, David, 1821. "On the Principles of Political Economy and Taxation," History of Economic Thought Books, McMaster University Archive for the History of Economic Thought, edition 3, number ricardo1821.
    47. Giovanni Dosi & Luigi Marengo & Alessandro Nuvolari, 2020. "Institutions and economic change: some notes on self-organization, power and learning in human organizations," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 10(1), pages 1-22, March.
    48. Kleinknecht, Alfred & Verspagen, Bart, 1990. "Demand and innovation: Schmookler re-examined," Research Policy, Elsevier, vol. 19(4), pages 387-394, August.
    49. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    50. Stephen Bond & Anke Hoeffler, 2001. "GMM Estimation of Empirical Growth Models," Economics Series Working Papers 2001-W21, University of Oxford, Department of Economics.
    51. Mehmet Ugur & Sefa Awaworyi Churchill & Edna Solomon, 2018. "Technological Innovation And Employment In Derived Labour Demand Models: A Hierarchical Meta†Regression Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 32(1), pages 50-82, February.
    52. Schmookler, Jacob, 1962. "Economic Sources of Inventive Activity," The Journal of Economic History, Cambridge University Press, vol. 22(1), pages 1-20, March.
    53. Morgan R. Frank & David Autor & James E. Bessen & Erik Brynjolfsson & Manuel Cebrian & David J. Deming & Maryann Feldman & Matthew Groh & José Lobo & Esteban Moro & Dashun Wang & Hyejin Youn & Iyad Ra, 2019. "Toward understanding the impact of artificial intelligence on labor," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(14), pages 6531-6539, April.
    54. Hercowitz, Zvi, 1998. "The 'embodiment' controversy: A review essay," Journal of Monetary Economics, Elsevier, vol. 41(1), pages 217-224, February.
    55. Balsmeier, Benjamin & Woerter, Martin, 2019. "Is this time different? How digitalization influences job creation and destruction," Research Policy, Elsevier, vol. 48(8), pages 1-1.
    56. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    57. Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
    58. Katsoulacos, Y., 1984. "Product innovation and employment," European Economic Review, Elsevier, vol. 26(1-2), pages 83-108.
    59. Marco Vivarelli, 1995. "The Economics of Technology and Employment," Books, Edward Elgar Publishing, number 458.
    60. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
    61. Gianluca Capone & Franco Malerba & Richard R. Nelson & Luigi Orsenigo & Sidney G. Winter, 2019. "History friendly models: retrospective and future perspectives," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 9(1), pages 1-23, March.
    62. Van Roy, Vincent & Vértesy, Dániel & Vivarelli, Marco, 2018. "Technology and employment: Mass unemployment or job creation? Empirical evidence from European patenting firms," Research Policy, Elsevier, vol. 47(9), pages 1762-1776.
    63. 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.
    64. 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.
    Full references (including those not matched with items on IDEAS)

    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. 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).
    2. Van Roy, Vincent & Vértesy, Dániel & Vivarelli, Marco, 2018. "Technology and employment: Mass unemployment or job creation? Empirical evidence from European patenting firms," Research Policy, Elsevier, vol. 47(9), pages 1762-1776.
    3. Gabriele Pellegrino & Mariacristina Piva & Marco Vivarelli, 2019. "Beyond R&D: the role of embodied technological change in affecting employment," Journal of Evolutionary Economics, Springer, vol. 29(4), pages 1151-1171, September.
    4. 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.
    5. Mariacristina Piva & Marco Vivarelli, 2018. "Is Innovation Destroying Jobs? Firm-Level Evidence from the EU," Sustainability, MDPI, vol. 10(4), pages 1-16, April.
    6. Piva, Mariacristina & Vivarelli, Marco, 2017. "Technological Change and Employment: Were Ricardo and Marx Right?," IZA Discussion Papers 10471, Institute of Labor Economics (IZA).
    7. 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).
    8. Heijs, Joost & Arenas Díaz, Guillermo & Vergara Reyes, Delia Margarita, 2019. "Impact of innovation on employment in quantitative terms: review of empirical literature based on microdata," MPRA Paper 95326, University Library of Munich, Germany.
    9. Mariacristina Piva & Marco Vivarelli, 2017. "The employment impact of R&D expenditures and capital formation," DISCE - Quaderni del Dipartimento di Politica Economica ispe0078, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    10. Barbieri, Laura & Mussida, Chiara & Piva, Mariacristina & Vivarelli, Marco, 2019. "Testing the employment and skill impact of new technologies: A survey and some methodological issues," MERIT Working Papers 2019-032, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    11. Borsato, Andrea & Lorentz, André, 2023. "The Kaldor–Verdoorn law at the age of robots and AI," Research Policy, Elsevier, vol. 52(10).
    12. Vincent Van Roy & Daniel Vertesy & Marco Vivarelli, 2015. "The Employment Impact of Innovation: Evidence from European Patenting Companies," DISCE - Quaderni del Dipartimento di Politica Economica ispe0075, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    13. Damioli, G. & Van Roy, V. & Vertesy, D. & Vivarelli, M., 2021. "May AI revolution be labour-friendly? Some micro evidence from the supply side," GLO Discussion Paper Series 823, Global Labor Organization (GLO).
    14. Vivarelli, Marco, 2018. "Globalisation, structural change and innovation in emerging economies: The impact on employment and skills," MERIT Working Papers 2018-037, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    15. Francesco Bogliacino & Mariacristina Piva & Marco Vivarelli, 2014. "Technology and employment: the job creation effect of business R&D," Rivista Internazionale di Scienze Sociali, Vita e Pensiero, Pubblicazioni dell'Universita' Cattolica del Sacro Cuore, vol. 122(3), pages 239-264.
    16. Damioli, Giacomo & Van Roy, Vincent & Vertesy, Daniel & Vivarelli, Marco, 2021. "Will the AI revolution be labour-friendly? Some micro evidence from the supply side," MERIT Working Papers 2021-016, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    17. Van Roy, Vincent & Vertesy, Daniel & Vivarelli, Marco, 2015. "Innovation and Employment in Patenting Firms: Empirical Evidence from Europe," IZA Discussion Papers 9147, Institute of Labor Economics (IZA).
    18. Piva, Mariacristina & Vivarelli, Marco, 2017. "R&D Expenditures and Employment: Evidence from Europe," GLO Discussion Paper Series 18, Global Labor Organization (GLO).
    19. Piva, Mariacristina & Vivarelli, Marco, 2017. "Is R&D Good for Employment? Microeconometric Evidence from the EU," IZA Discussion Papers 10581, Institute of Labor Economics (IZA).
    20. Giacomo Damioli & Vincent Van Roy & Daniel Vertesy & Marco Vivarelli, 2021. "Detecting the labour-friendly nature of AI product innovation," DISCE - Quaderni del Dipartimento di Politica Economica dipe0017, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).

    More about this item

    Keywords

    Innovation; Disembodied and capital-embodied technological change; Employment; Job-creation; Job-destruction; Sectoral interdependencies;
    All these keywords.

    JEL classification:

    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    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:eee:respol:v:50:y:2021:i:4:s0048733321000032. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/respol .

    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.