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Re-examining the automation-employment nexus from a classical political economy approach

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  • Boundi-Chraki, Fahd
  • Perrotini-Hernández, Ignacio

Abstract

Based on the general law of capitalist accumulation and its theoretical mechanisms, this paper aims to examine the relationship between automation and employment across several sectors in 42 countries from 2000 to 2014. Using data from the World Input-Output Database (WIOD), vertically integrated labour productivity and vertically integrated capital-output ratio are computed as indices to measure the impact of technological change and mechanisation on sectoral employment dynamics. To address potential endogeneity, cross-sectional dependence, and slope heterogeneity in data, the dynamic panel Generalised Method of Moments (GMM) combined with the Common Correlated Effect (CCE) is applied. The sample is divided into advanced and emerging economies to identify disparities related to the developmental degree of the countries under investigation, while industries are distinguished to determine which are more vulnerable to automation. The empirical findings support the hypothesis of labour-saving technological progress and mechanisation, consistent with classical political economy and Marxian theories.

Suggested Citation

  • Boundi-Chraki, Fahd & Perrotini-Hernández, Ignacio, 2025. "Re-examining the automation-employment nexus from a classical political economy approach," Structural Change and Economic Dynamics, Elsevier, vol. 75(C), pages 32-51.
  • Handle: RePEc:eee:streco:v:75:y:2025:i:c:p:32-51
    DOI: 10.1016/j.strueco.2025.05.001
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    1. Marcel P. Timmer & Erik Dietzenbacher & Bart Los & Robert Stehrer & Gaaitzen J. Vries, 2015. "An Illustrated User Guide to the World Input–Output Database: the Case of Global Automotive Production," Review of International Economics, Wiley Blackwell, vol. 23(3), pages 575-605, August.
    2. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    3. Destefanis, Sergio & Rehman, Naqeeb Ur, 2023. "Investment, innovation activities and employment across European regions," Structural Change and Economic Dynamics, Elsevier, vol. 65(C), pages 474-490.
    4. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    5. 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.
    6. Pablo R. Liboreiro, 2023. "Estimating disguised unemployment in major middle-income countries by means of non-linear input–output analysis, 2000–2014," Economic Systems Research, Taylor & Francis Journals, vol. 35(4), pages 634-657, October.
    7. Artūras Juodis & Vasilis Sarafidis, 2022. "A Linear Estimator for Factor-Augmented Fixed-T Panels With Endogenous Regressors," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 1-15, January.
    8. 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.
    9. Liboreiro, Pablo R. & Fernández, Rafael & García, Clara, 2021. "The drivers of deindustrialization in advanced economies: A hierarchical structural decomposition analysis," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 138-152.
    10. Ayhan, Fatih & Elal, Onuray, 2023. "The IMPACTS of technological change on employment: Evidence from OECD countries with panel data analysis," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    11. Tore Bersvendsen & Jan Ditzen, 2021. "Testing for slope heterogeneity in Stata," Stata Journal, StataCorp LLC, vol. 21(1), pages 51-80, March.
    12. Hashem Pesaran, M. & Yamagata, Takashi, 2008. "Testing slope homogeneity in large panels," Journal of Econometrics, Elsevier, vol. 142(1), pages 50-93, January.
    13. 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.
    14. Maurice J. G. Bun & Frank Windmeijer, 2010. "The weak instrument problem of the system GMM estimator in dynamic panel data models," Econometrics Journal, Royal Economic Society, vol. 13(1), pages 95-126, February.
    15. Norkutė, Milda & Sarafidis, Vasilis & Yamagata, Takashi & Cui, Guowei, 2021. "Instrumental variable estimation of dynamic linear panel data models with defactored regressors and a multifactor error structure," Journal of Econometrics, Elsevier, vol. 220(2), pages 416-446.
    16. Gerdie Everaert & Tom De Groote, 2016. "Common Correlated Effects Estimation of Dynamic Panels with Cross-Sectional Dependence," Econometric Reviews, Taylor & Francis Journals, vol. 35(3), pages 428-463, March.
    17. M. Hashem Pesaran & Badi H. Baltagi, 2007. "Heterogeneity and cross section dependence in panel data models: theory and applications introduction," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 229-232.
    18. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
    19. Pesaran, M. Hashem & Tosetti, Elisa, 2011. "Large panels with common factors and spatial correlation," Journal of Econometrics, Elsevier, vol. 161(2), pages 182-202, April.
    20. Damiaan Persyn & Joakim Westerlund, 2008. "Error-correction–based cointegration tests for panel data," Stata Journal, StataCorp LLC, vol. 8(2), pages 232-241, June.
    21. Cheng Hsiao, 2007. "Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 1-22, May.
    22. Bruno Tinel, 2013. "Why and how do capitalists divide labor? From Marglin and back again through Babbage and Marx," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00763837, HAL.
    23. Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
    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. Joakim Westerlund, 2007. "Testing for Error Correction in Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(6), pages 709-748, December.
    26. Joseph E. Stiglitz, 2014. "Unemployment and Innovation," NBER Working Papers 20670, National Bureau of Economic Research, Inc.
    27. Kapetanios, G. & Pesaran, M. Hashem & Yamagata, T., 2011. "Panels with non-stationary multifactor error structures," Journal of Econometrics, Elsevier, vol. 160(2), pages 326-348, February.
    28. Rotta, Tomás N. & Kumar, Rishabh, 2024. "Was Marx right? Development and exploitation in 43 countries, 2000–2014," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 213-223.
    29. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers 09/02, Institute for Fiscal Studies.
    30. Francesco Bogliacino & Marco Vivarelli, 2012. "The Job Creation Effect Of R&D Expenditures," Australian Economic Papers, Wiley Blackwell, vol. 51(2), pages 96-113, June.
    31. Urbain, J.R.Y.J. & Westerlund, J., 2006. "Spurious regression in nonstationary panels with cross-unit cointegration," Research Memorandum 057, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    32. 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.
    33. Fahd Boundi-Chraki & Ignacio Perrotini-Hernández, 2024. "Revisiting the Classical Theory of Investment: An Empirical Assessment from the European Union," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 22(1), pages 63-89, March.
    34. Timmer, Marcel P. & Los, Bart & Stehrer, Robert & de Vries, Gaaitzen J., 2016. "An Anatomy of the Global Trade Slowdown based on the WIOD 2016 Release," GGDC Research Memorandum GD-162, Groningen Growth and Development Centre, University of Groningen.
    35. Bruno Tinel, 2013. "Why and How Do Capitalists Divide Labour? From Marglin and Back again through Babbage and Marx," Review of Political Economy, Taylor & Francis Journals, vol. 25(2), pages 254-272, April.
    36. 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.
    37. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    38. Lawrence F. Katz & Robert A. Margo, 2014. "Technical Change and the Relative Demand for Skilled Labor: The United States in Historical Perspective," NBER Chapters, in: Human Capital in History: The American Record, pages 15-57, National Bureau of Economic Research, Inc.
    39. Bruno Tinel, 2013. "Why and how do capitalists divide labor? From Marglin and back again through Babbage and Marx," Post-Print hal-00763837, HAL.
    40. repec:hal:journl:peer-00796743 is not listed on IDEAS
    41. 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.
    42. Claudia Goldin & Lawrence F. Katz, 1998. "The Origins of Technology-Skill Complementarity," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(3), pages 693-732.
    43. Fahd Boundi-Chraki, 2023. "Do technical change and mechanisation negatively affect employment in the manufacturing sectors? An empirical assessment for the OECD countries," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 36(2), pages 2172598-217, December.
    44. Terry Gregory & Anna Salomons & Ulrich Zierahn, 2022. "Racing With or Against the Machine? Evidence on the Role of Trade in Europe," Journal of the European Economic Association, European Economic Association, vol. 20(2), pages 869-906.
    45. Cheng Hsiao, 2007. "Rejoinder on: Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 56-57, May.
    46. 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.
    47. Daron Acemoglu, 1998. "Why Do New Technologies Complement Skills? Directed Technical Change and Wage Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1055-1089.
    48. Chudik, Alexander & Pesaran, M. Hashem, 2015. "Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors," Journal of Econometrics, Elsevier, vol. 188(2), pages 393-420.
    49. 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.
    50. 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).
    51. Harding, Matthew & Lamarche, Carlos, 2011. "Least squares estimation of a panel data model with multifactor error structure and endogenous covariates," Economics Letters, Elsevier, vol. 111(3), pages 197-199, June.
    52. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
    53. Sarafidis, Vasilis & Yamagata, Takashi & Robertson, Donald, 2009. "A test of cross section dependence for a linear dynamic panel model with regressors," Journal of Econometrics, Elsevier, vol. 148(2), pages 149-161, February.
    54. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    55. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    56. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    57. Blomquist, Johan & Westerlund, Joakim, 2013. "Testing slope homogeneity in large panels with serial correlation," Economics Letters, Elsevier, vol. 121(3), pages 374-378.
    58. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LLC, vol. 9(1), pages 86-136, March.
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