If you are experiencing problems downloading PDF or HTML fulltext, our helpdesk recommend clearing your browser cache and trying again. If you need help in clearing your cache, please click here . Still need help? Email help@ingentaconnect.com

Global Commodity Chains and the Marxian Law of Value

$48.00 plus tax (Refund Policy)

Download / Buy Article:

Abstract:

Abstract: 

This paper develops a Marxian critique of the “global commodity chain” (GCC) paradigm. It is argued that this approach fails to provide an actual explanation of the phenomenon it sets about to investigate. Instead, it offers a typological description of the immediate manifestations of the determinations at stake. As a consequence, the GCC approach one-sidedly conceptualises the relations among individual capitals within a commodity chain as the simple result of relations of power (or co-operation), that is, of direct social relations. By contrast, this paper argues that the latter are concrete mediations of the inner laws regulating the indirect social relations among individual capitals: the process of global competition through which the formation of the general rate of profit asserts itself. On this basis, it develops an alternative account of the social determinations underlying the genesis, structure and evolving configuration of GCCs as an expression of the unfolding of the Marxian “law of value”.

Keywords: Marx; capitalist competition; global commodity chains; law of value

Document Type: Research Article

DOI: http://dx.doi.org/10.1111/j.1467-8330.2009.00753.x

Affiliations: Politics, School of Social Sciences, University of Manchester, UK;, Email: guido.starosta@manchester.ac.uk

Publication date: March 1, 2010

Related content

Tools

Favourites

Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more