Revisiting the automation tax debate in light of Covid-19 and resulting structural unemployment

As lockdowns ease around the globe and businesses reopen, the threat of jobs being automated by machines and workers being displaced as a result has significantly increased. Businesses must keep the number of workers on site to a minimum to comply with safe distancing measures. Under these constrain...

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Bibliographic Details
Main Author: OOI, Vincent
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2020
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Online Access:https://ink.library.smu.edu.sg/sol_research/3169
https://ink.library.smu.edu.sg/context/sol_research/article/5127/viewcontent/O046._Revisiting_the_Automation_Tax_Debate_in_Light_of_Covid_19_and_Resulting_Structural_Unemployment.pdf
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Institution: Singapore Management University
Language: English