Robots do not get the coronavirus: The COVID-19 pandemic and the international division of labor

Steven Brakman (), Harry Garretsen () and Arjen Witteloostuijn ()
Additional contact information
Steven Brakman: University of Groningen
Harry Garretsen: University of Groningen
Arjen Witteloostuijn: Vrije Universiteit Amsterdam

Journal of International Business Studies, 2021, vol. 52, issue 6, No 9, 1215-1224

Abstract: Abstract We assess the expected long-run consequences of the unfolding COVID-19 pandemic and use these as a platform to argue that international business (IB) as a field should expand its research agenda to study the international division of labor. The worldwide response to the COVID-19 pandemic is accelerating the shift toward the de-globalization of capital, but it will also speed up the move to a stronger globalization of labor. This paradoxical, simultaneous occurrence of de-globalization and globalization offers rich opportunities for future IB research.

Keywords: COVID-19; risk; global value chains; labor markets (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

Downloads: (external link)
http://link.springer.com/10.1057/s41267-021-00410-9 Abstract (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pal:jintbs:v:52:y:2021:i:6:d:10.1057_s41267-021-00410-9

Ordering information: This journal article can be ordered from
http://www.springer. ... nt/journal/41267/PS2

DOI: 10.1057/s41267-021-00410-9

Access Statistics for this article

Journal of International Business Studies is currently edited by John Cantwell

More articles in Journal of International Business Studies from Palgrave Macmillan, Academy of International Business
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().