The Sharing Economy as Primitive Accumulation: Locating the Political-Economic Position of the Capital-Extractive Sharing Economy

Dublin Core

Title

The Sharing Economy as Primitive Accumulation: Locating the Political-Economic Position of the Capital-Extractive Sharing Economy

Description

There has been much debate in the columns of newspapers as to how we should understand the sharing economy, but as yet, much of the debate is largely superficial, garnering little attention in terms of rigorous academic analysis. In this paper, I argue that the rise of the capital-extractive sharing economy model employed by companies like Uber and Airbnb cannot be understood outside of the political-economic context from which it emerges. Drawing on the work of Marxist scholars like David Harvey, I analyze such models through the lens of primitive accumulation, positioning their development as positive evidence of Harvey’s theory that capitalism seeks to colonize new spheres of social life in order to offload the tensions of its own internal conflicts; in this case, labour market insecurity. Further, I argue that the rise of the capital-extractive sharing economy should be recognized as constituting a further entrenchment of the global neoliberal project, particularly as it stands to affect union organizing, force deregulation in favour of free market fundamentals, and further deepen the labour market insecurity from which it rises in the first place.

Creator

Fairweather, Chris

Source

HPS: The Journal of History and Political Science; Vol. 5 (2017): HPS: The Journal of History and Political Science Vol. 5
2291-3637

Publisher

York University Libraries

Date

2017-06-01

Rights

Copyright (c) 2017 Chris Fairweather

Relation

Format

application/pdf

Language

eng

Type

info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

Identifier

Citation

Chris Fairweather, The Sharing Economy as Primitive Accumulation: Locating the Political-Economic Position of the Capital-Extractive Sharing Economy, York University Libraries, 2017, accessed November 6, 2024, https://igi.indrastra.com/items/show/127

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