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The composite link between technological change and employment: A survey of the literature

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  • Jasmine Mondolo

Abstract

The role played by technological change in employment trends has long been debated and investigated, but the evidence has proven to be inconclusive. This paper aims to shed light on this topic by critically reviewing a broad and heterogeneous body of literature on the employment implications of technical progress. To this purpose, it briefly discusses the main theories and models that underpin the empirical analysis and reviews the literature following two main criteria, namely, the proxy for technological change and the level of analysis. It also accounts for the effect of technical progress on both overall employment and on distinct occupational, educational and demographic groups. Particular attention is devoted to the results of some very recent studies that attempt to unfold the impact of complex automation technologies, especially robots, and to provide a preliminary account of the evolution, distribution, challenges and potential of Artificial Intelligence.

Suggested Citation

  • Jasmine Mondolo, 2022. "The composite link between technological change and employment: A survey of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1027-1068, September.
  • Handle: RePEc:bla:jecsur:v:36:y:2022:i:4:p:1027-1068
    DOI: 10.1111/joes.12469
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    1. Jin, Xin & Ma, Baojie & Zhang, Haifeng, 2023. "Impact of fast internet access on employment: Evidence from a broadband expansion in China," China Economic Review, Elsevier, vol. 81(C).
    2. Dario Guarascio & Jelena Reljic & Roman Stollinger, 2023. "Artificial Intelligence and Employment: A Look into the Crystal Ball," LEM Papers Series 2023/34, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Valeria Cirillo & Matteo Rinaldini & Maria Enrica Virgillito & Maria Luisa Divella & Caterina Manicardi & Francesco Sabato Massimo & Armanda Cetrulo & Eleonora Costantini & Angelo Moro & Jacopo Stacci, 2022. "Case studies of automation in services," Working Papers hal-03899186, HAL.
    4. Dario Guarascio & Alessandro Piccirillo & Jelena Reljic, 2024. "Will robot replace workers? Assessing the impact of robots on employment and wages with meta-analysis," LEM Papers Series 2024/03, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. Mauro Caselli & Andrea Fracasso & Arianna Marcolin & Sergio Scicchitano, 2023. "Technological Innovations and Workers’ Job Insecurity: The Moderating Role of Firm Strategies," CESifo Working Paper Series 10673, CESifo.
    6. Zhang, Zhuo, 2023. "The impact of the artificial intelligence industry on the number and structure of employments in the digital economy environment," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    7. Borsato, Andrea & Lorentz, André, 2023. "The Kaldor–Verdoorn law at the age of robots and AI," Research Policy, Elsevier, vol. 52(10).
    8. Başak Dalgıç & Burcu Fazlıoğlu & Aytekin Güven, 2023. "Innovation, employment and market structure: firm level evidence from Turkey," Empirical Economics, Springer, vol. 65(3), pages 1385-1407, September.
    9. Chih-Hai Yang, 2023. "R&D responses to labor cost shock in China: does firm size matter?," Small Business Economics, Springer, vol. 61(4), pages 1773-1793, December.

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