How artificial intelligence affects the labour force employment structure from the perspective of industrial structure optimisation
Heliyon, ISSN: 2405-8440, Vol: 10, Issue: 5, Page: e26686
2024
- 9Citations
- 83Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Article Description
To investigate how artificial intelligence (AI) affects the structure of labour force employment, we integrate robotics adoption and employment into this study's model. Based on Chinese provincial panel data from 2010 to 2019, fixed, mediating and threshold effects models and a spatial heterogeneity model were used to empirically test the impact of AI on the employment structure from the perspective of industrial structure optimisation and its mechanisms of action. The findings demonstrate that the impact of AI on the labour force employment structure reflects unique characteristics for China and promotes the advancement of the nation's employment structure. The influence of AI on the labour force employment structure follows a non-linear pattern, fostering labour force employment structure optimisation and upgrading from the perspective of industrial structure optimisation. Further investigation reveals the influence of spatial spillover effects from AI on employment structure optimisation. These research findings have theoretical value and practical significance for optimising China's employment structure in the context of AI.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S2405844024027178; http://dx.doi.org/10.1016/j.heliyon.2024.e26686; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85186430903&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/38434398; https://linkinghub.elsevier.com/retrieve/pii/S2405844024027178; https://dx.doi.org/10.1016/j.heliyon.2024.e26686
Elsevier BV
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