Preprint

The polarisation of remote work

The Covid-19 pandemic has led to the rise of remote work with consequences for the global division of work. Remote work could connect labour markets, but it could also increase spatial polarisation. However, our understanding of the geographies of remote work is limited. Specifically, does remote work bring jobs to rural areas or is it concentrating in large cities, and how do skill requirements affect competition for jobs and wages? We use data from a fully remote labour market - an online labour platform - to show that remote work is polarised along three dimensions. First, countries are globally divided: North American, European, and South Asian remote workers attract most jobs, while many Global South countries participate only marginally. Secondly, remote jobs are pulled to urban regions; rural areas fall behind. Thirdly, remote work is polarised along the skill axis: workers with in-demand skills attract profitable jobs, while others face intense competition and obtain low wages. The findings suggest that remote work is shaped by agglomerative forces, which are deepening the gap between urban and rural areas. To make remote work an effective tool for rural development, it needs to be embedded in local skill-building and labour market programmes.

Sprache
Englisch

Klassifikation
Wirtschaft
Trade and Labor Market Interactions
Human Capital; Skills; Occupational Choice; Labor Productivity
Wage Level and Structure; Wage Differentials
Transactional Relationships; Contracts and Reputation; Networks
Economic Development: Human Resources; Human Development; Income Distribution; Migration
Thema
Remote work
Online labour
Platform economy
Geography
Polarisation

Ereignis
Geistige Schöpfung
(wer)
Braesemann, Fabian
Stephany, Fabian
Teutloff, Ole
Kässi, Otto
Graham, Mark
Lehdonvirta, Vili
Ereignis
Veröffentlichung
(wer)
Center for Open Science
(wo)
Charlottesville, Virginia
(wann)
2021

DOI
doi:10.31235/osf.io/q8a96
Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Preprint

Beteiligte

  • Braesemann, Fabian
  • Stephany, Fabian
  • Teutloff, Ole
  • Kässi, Otto
  • Graham, Mark
  • Lehdonvirta, Vili
  • Center for Open Science

Entstanden

  • 2021

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