Neither chains nor networks: Modeling ambivalence in the US automotive sector

The US automotive industry stands at an inflection point amid the transition to electric vehicles. The relations of production that once governed the industry are drifting into obsolescence even as a new system has yet to fully crystallize. This paper critiques global production network (GPN) theory, arguing that its fixed, cartographical approach fails to account for the ambivalent character of transitional processes. GPN's diagrammatic logic is ill-suited for capturing the fluid, highly contingent power dynamics of an industry whose final form remains profoundly undecided. GPN theory may be adequate to periods of relative stasis or equilibrium, but breaks down when confronted by practices of realignment and reconfiguration. In place of GPNs, this paper draws on topological geographic thought to model distortions of space and power. Major findings, centered on the United Auto Workers’ 2023 contract negotiations and subsequent developments, reveal that labor was partially successful in mobilizing discursive influence alongside material power to shape the terms of the “green transition.” Specifically, labor was strategically positioned to compel the vertical reintegration of suppliers and the horizontal reintegration of core competencies. Conversely, labor retreated to protectionism when confronted with the transition's geopolitical dimension. Ultimately, while labor secured significant domestic gains, its alignment with economic nationalism limited its ability to extend transnational solidarity.

Authors

Institutions

Publication Details

Journal
Human Geography
Published
2025-11-06
DOI
https://doi.org/10.1177/19427786251392809
Primary Topic
Global trade, sustainability, and social impact
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Neither chains nor networks: Modeling ambivalence in the US automotive sector

Abe Walker
Human Geography
Global trade, sustainability, and social impact
article

Neither chains nor networks: Modeling ambivalence in the US automotive sector

Abe Walker
article en

Abstract

The US automotive industry stands at an inflection point amid the transition to electric vehicles. The relations of production that once governed the industry are drifting into obsolescence even as a new system has yet to fully crystallize. This paper critiques global production network (GPN) theory, arguing that its fixed, cartographical approach fails to account for the ambivalent character of transitional processes. GPN's diagrammatic logic is ill-suited for capturing the fluid, highly contingent power dynamics of an industry whose final form remains profoundly undecided. GPN theory may be adequate to periods of relative stasis or equilibrium, but breaks down when confronted by practices of realignment and reconfiguration. In place of GPNs, this paper draws on topological geographic thought to model distortions of space and power. Major findings, centered on the United Auto Workers’ 2023 contract negotiations and subsequent developments, reveal that labor was partially successful in mobilizing discursive influence alongside material power to shape the terms of the “green transition.” Specifically, labor was strategically positioned to compel the vertical reintegration of suppliers and the horizontal reintegration of core competencies. Conversely, labor retreated to protectionism when confronted with the transition's geopolitical dimension. Ultimately, while labor secured significant domestic gains, its alignment with economic nationalism limited its ability to extend transnational solidarity.

Human Geography
Fayetteville State University (US)
Openalex Percentile: Top 53%
Global trade, sustainability, and social impact
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.