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Population thinking vs. essentialism in biology and evolutionary economics

George Liagouras

No r4g8x, OSF Preprints from Center for Open Science

Abstract: The standard perception of the dichotomy between population thinking and essentialism (typological thinking) in evolutionary economics descends from the golden age of the neo-Darwinian Synthesis. Over the last few decades the received view on population thinking has been seriously challenged in biology and its philosophy. First, the strong version of population thinking that banishes essentialism witnessed important tensions stemming from the ontological status of species. These tensions have been amplified by the demise of positivism and the rise of a new essentialism in philosophy of science. Second, the soft version that transforms the opposition between population thinking and essentialism to the dichotomy between ultimate and proximate causation has led to contradictory interpretations regarding the locus of ultimate causes. Taking stock of the previous discussion the paper addresses the limits to population thinking in the socio-economic realm. The upshot is that without denying the important achievements made by the application of population thinking in sub-disciplines like industrial dynamics and economic anthropology, the idea to generalize these applications into the whole socio-economic realm is problematic. The aforementioned achievements cannot come to grips with the structural aspects of capitalism, its different periods (e.g. the contemporary finance-led capitalism) and its geographical varieties. The resulting gap points to the importance of structural analysis (essentialism) and evolutionary political economy. The latter is distinguished from the rest of evolutionary economics by its project to go beyond the surface of economic phenomena and to critically analyze their underlying social structures

Date: 2017-01-24
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:r4g8x

DOI: 10.31219/osf.io/r4g8x

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