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Eco-Phenomenology and Eco-Marxism

A Synthetic Foundation for Biocentric Ecosocialism on Husserlian Grounds
Authors: Bence Peter Marosan;

Eco-Phenomenology and Eco-Marxism

Abstract

The distinct and rich traditions of (eco-)phenomenology, (eco-)Marxism, eco-ethics, and Husserlian and Marxist scholarship inform this study’s effort to articulate a synthetic theoretical foundation for a “biocentric ecosocialism” model, primarily based upon Husserlian and eco-Marxist consid­erations. A Husserlian view might interpret the Marxist project as a phenome­nology of phenomena such as alienation, reification, exploitation, and the logic of capital. Systematically reinterpreting Marxism, particularly eco-Marxism, through a Husserlian phenomenological lens could strengthen its foundation, ultimately yielding a perspective that might be termed “biocentric ecoso­cialism.” This perspective suggests that a proper phenomenological analysis of the phenomenon of life entails normative and ethical imperatives, rejecting the exclusively instrumental treatment of living beings and the non-human natural environment. I aim to demonstrate the legitimacy of these claims from an essentially phenomenological viewpoint.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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