2026-06-28T15:20:08Zhttps://docta.ucm.es/rest/oai/requestoai:docta.ucm.es:20.500.14352/1200612025-05-14T23:53:48Zcom_20.500.14352_14col_20.500.14352_15
Docta Complutense
author
Boundi Chraki, Fahd
author
Perrotini Hernández, Ignacio
2025-05-14T08:34:12Z
2025-05-14T08:34:12Z
2025-05-09
Boundi-Chraki, F., & Perrotini-Hernández, I. (2025). Re-examining the automation-employment nexus from a classical political economy approach. Structural Change and Economic Dynamics, 75, 32-51. https://doi.org/10.1016/j.strueco.2025.05.001
0954-349X
10.1016/j.strueco.2025.05.001
https://hdl.handle.net/20.500.14352/120061
1873-6017
https://doi.org/10.1016/j.strueco.2025.05.001
https://www.sciencedirect.com/science/article/pii/S0954349X25000670?via%3Dihub
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.
eng
Attribution-NonCommercial-NoDerivatives 4.0 International
Re-examining the automation-employment nexus from a classical political economy approach
journal article
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URL
https://docta.ucm.es/bitstreams/85ec5dce-fef5-41e3-82a2-9933afdf14b5/download
File
MD5
80a4bd9596337e47d5c6035ecef73ef7
1385934
application/pdf
Re-examining.pdf