The autonomisation of abstract wealth: new insights on the labour theory of value
Tomas Nielsen Rotta and
Rodrigo Alves Teixeira
Cambridge Journal of Economics, 2016, vol. 40, issue 4, 1185-1201
Abstract:
We theorise the forms of value in the Marxist system in a way that challenges the dominant tradition. The standard procedure has been to read Marx’s Capital as an analysis that begins at a high level of abstraction and moves towards more concrete concepts. Our alternative approach posits that the forms of value in the Marxist system evolve from more concrete towards more abstract forms of wealth that increasingly separate from and obscure labour exploitation. Our procedure therefore replaces the dominant interpretation of ‘successive approximations’ employed by most scholars. We develop a broader account of Marx’s project alongside textual evidence retrieved from many of his writings. We also provide a new way to incorporate the monetary, financial and rentier forms of wealth into Marx’s labour value theory. The proposed alternative approach can potentially open a research agenda on the contemporaneous dynamics of abstract and concrete forms of wealth in advanced capitalism.
Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://hdl.handle.net/10.1093/cje/bev028 (application/pdf)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:oup:cambje:v:40:y:2016:i:4:p:1185-1201.
Ordering information: This journal article can be ordered from
https://academic.oup.com/journals
Access Statistics for this article
Cambridge Journal of Economics is currently edited by Jacqui Lagrue
More articles in Cambridge Journal of Economics from Cambridge Political Economy Society Oxford University Press, Great Clarendon Street, Oxford OX2 6DP, UK.
Bibliographic data for series maintained by Oxford University Press ().