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Diffusion of industrial robotics and inclusive growth: Labour market evidence from cross country data

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  • (Maggie) Fu, Xiaoqing
  • Bao, Qun
  • Xie, Hongjun
  • Fu, Xiaolan

Abstract

This paper investigates the impact of industrial robot adoption on inclusive growth based on labour market evidence from a cross-country panel dataset of 74 economies between 2004 and 2016. It finds that the adoption of industrial robots is associated with significant gains in labour productivity and total employment in developed economies, while such effects are insignificant in developing countries. Increased robot adoption is related to a significantly lower labour share of GDP in developing economies but not in developed countries. Overall, in both developed and developing economies, increased robot adoption is linked with significantly higher income inequality, although there is no evidence of technological unemployment. Furthermore, the employment of both male and female workers is positively associated with the adoption of industrial robots in developed economies, although females benefit slightly more. In developing countries, however, only those with middle or advanced levels of education benefit from the diffusion of robots.

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  • (Maggie) Fu, Xiaoqing & Bao, Qun & Xie, Hongjun & Fu, Xiaolan, 2021. "Diffusion of industrial robotics and inclusive growth: Labour market evidence from cross country data," Journal of Business Research, Elsevier, vol. 122(C), pages 670-684.
  • Handle: RePEc:eee:jbrese:v:122:y:2021:i:c:p:670-684
    DOI: 10.1016/j.jbusres.2020.05.051
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    Cited by:

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    2. 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.
    3. Xiekui Zhang & Hongfei Zhu, 2023. "The Impact of Industrial Intelligence on Carbon Emissions: Evidence from the Three Largest Economies," Sustainability, MDPI, vol. 15(7), pages 1-15, April.
    4. Jurkat, Anne & Klump, Rainer & Schneider, Florian, 2023. "Robots and Wages: A Meta-Analysis," EconStor Preprints 274156, ZBW - Leibniz Information Centre for Economics.
    5. Xiaolan Fu & Liu Shi, 2022. "Direction of innovation in developing countries and its driving forces," WIPO Economic Research Working Papers 69, World Intellectual Property Organization - Economics and Statistics Division.
    6. Beier, Grischa & Matthess, Marcel & Shuttleworth, Luke & Guan, Ting & de Oliveira Pereira Grudzien, David Iubel & Xue, Bing & Pinheiro de Lima, Edson & Chen, Ling, 2022. "Implications of Industry 4.0 on industrial employment: A comparative survey from Brazilian, Chinese, and German practitioners," Technology in Society, Elsevier, vol. 70(C).
    7. Bäck, Asta & Hajikhani, Arash & Jäger, Angela & Schubert, Torben & Suominen, Arho, 2022. "Return of the Solow-paradox in AI? AI-adoption and firm productivity," Papers in Innovation Studies 2022/1, Lund University, CIRCLE - Centre for Innovation Research.
    8. Eder, Andreas & Koller, Wolfgang & Mahlberg, Bernhard, 2022. "The contribution of industrial robots to labor productivity growth and economic convergence: A production frontier approach," MPRA Paper 113126, University Library of Munich, Germany.
    9. Klump, Rainer & Jurkat, Anne & Schneider, Florian, 2021. "Tracking the rise of robots: A survey of the IFR database and its applications," MPRA Paper 110390, University Library of Munich, Germany.
    10. Sandra Maria Correia Loureiro & Jorge Nascimento, 2021. "Shaping a View on the Influence of Technologies on Sustainable Tourism," Sustainability, MDPI, vol. 13(22), pages 1-18, November.
    11. Bo Chen & Dong Tan, 2023. "Industrial Robots and the Employment Quality of Migrant Workers in the Manufacturing Industry," Sustainability, MDPI, vol. 15(10), pages 1-21, May.
    12. Filippi, Emilia & Bannò, Mariasole & Trento, Sandro, 2023. "Automation technologies and their impact on employment: A review, synthesis and future research agenda," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    13. Huang, Liqing & Zhu, Bangzhu & Wang, Ping & Chevallier, Julien, 2022. "Energy out-of-poverty and inclusive growth: Evidence from the China health and nutrition survey," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 344-352.
    14. Chen, Yang & Cheng, Liang & Lee, Chien-Chiang, 2022. "How does the use of industrial robots affect the ecological footprint? International evidence," Ecological Economics, Elsevier, vol. 198(C).
    15. Kerstin Hotte & Melline Somers & Angelos Theodorakopoulos, 2022. "Technology and jobs: A systematic literature review," Papers 2204.01296, arXiv.org.

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