Uneven development in the platform economy: Stratified immigration policies and uneven access to transnational social protections in North America

How do digital platforms, such as Uber, Amazon, or DoorDash, reterritorialize social protections for immigrant workers at urban, national, and transnational scales? In this paper I show how they function as tools of economic integration, situating interplays between states, markets to generate new territorial configurations and exclusions in the digital economy. By analyzing the role of immigrant workers in the platform economy, I aim to show how platform economies both enable and constrain transnational mobility, deepening global inequalities through the uneven impact of flexible labour mediated by digital infrastructures. I focus specifically on software engineers and gig workers, who perform what Vallas and Schor (2020) identify as “geographically tethered work”. These two migrant groups allow me to observe how platformization has reterritorialized labour relations. Providing an analysis of different immigrant workers in the North American platform economy, I aim to show the ways in which immigration status makes these labour relations more precarious, increasing the reliance on transnational infrastructures of care.

Authors

Institutions

Publication Details

Journal
Digital Geography and Society
Published
2026-02-25
DOI
https://doi.org/10.1016/j.diggeo.2026.100164
Primary Topic
Digital Economy and Work Transformation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Uneven development in the platform economy: Stratified immigration policies and uneven access to transnational social protections in North America

María E. Cervantes-Macías
Digital Geography and Society
Digital Economy and Work Transformation
article

Uneven development in the platform economy: Stratified immigration policies and uneven access to transnational social protections in North America

María E. Cervantes-Macías
article en

Abstract

How do digital platforms, such as Uber, Amazon, or DoorDash, reterritorialize social protections for immigrant workers at urban, national, and transnational scales? In this paper I show how they function as tools of economic integration, situating interplays between states, markets to generate new territorial configurations and exclusions in the digital economy. By analyzing the role of immigrant workers in the platform economy, I aim to show how platform economies both enable and constrain transnational mobility, deepening global inequalities through the uneven impact of flexible labour mediated by digital infrastructures. I focus specifically on software engineers and gig workers, who perform what Vallas and Schor (2020) identify as “geographically tethered work”. These two migrant groups allow me to observe how platformization has reterritorialized labour relations. Providing an analysis of different immigrant workers in the North American platform economy, I aim to show the ways in which immigration status makes these labour relations more precarious, increasing the reliance on transnational infrastructures of care.

Digital Geography and SocietyVol. 10
University of British Columbia (CA)
Reduced inequalities
Openalex Percentile: Top 51%
Digital Economy and Work Transformation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.