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The Spectacle of Automation and Status Aspirations: Adoption of Automated Metro Systems Around the World, 2000-2020

dc.contributor.authorKang, Youbin
dc.contributor.authorKim, Jungmyung
dc.date.accessioned2024-05-14T19:40:53Z
dc.date.available2024-05-14T19:40:53Z
dc.date.issued2024-03
dc.description.abstractAutomation’s extensive impact on the labor market and economy is well recognized, but the underlying motivations for its adoption remain understudied. To address this gap, we analyze an original dataset covering 1276 cities across 148 countries, using event history analysis to examine the adoption of automated metro systems. Our research suggests that city governments are driven by status competition in their decisions to automate subway systems. We find that high-status cities are more likely to adopt automation. However, this trend diminishes when cities are preparing to host a mega-event such as the Olympics, indicating that lower-status cities use these events as opportunities to adopt automation technologies. Our finding reveals that status-driven aspirations, manifesting in the spectacle of automation, are a significant motivator for adopting automated technologies, prompting further investigation into the socio-economic factors influencing automation and the symbolic importance of technological advancement across various economic sectors.
dc.identifier.citationKang, Y., & Kim, J. (2024). The spectacle of automation and status aspirations: adoption of automated metro systems around the world, 2000–2020. Socio-Economic Review, 00(0), 1-23.
dc.identifier.urihttps://hdl.handle.net/1813/115191
dc.language.isoen
dc.publisherOxford University Press
dc.relation.doihttps://doi.org/10.1093/ser/mwae016
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectautomation
dc.subjectstatus
dc.subjectstatus competition
dc.subjecturban infrastructure
dc.subjectmega-events
dc.titleThe Spectacle of Automation and Status Aspirations: Adoption of Automated Metro Systems Around the World, 2000-2020
dc.typearticle
dcterms.licensehttps://hdl.handle.net/1813/115187
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