Complexity thinking and evolutionary economic geography


Martin, Ron and Sunley, Peter (2007) Complexity thinking and evolutionary economic geography Journal of Economic Geography, 7, (5), pp. 573-601. (doi:10.1093/jeg/lbm019).

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Description/Abstract

Thus far, most of the work towards the construction of an evolutionary economic geography has drawn upon a particular version of evolutionary economics, namely the Nelson-Winter framework, which blends Darwinian concepts and metaphors (especially variety, selection, novelty and inheritance) and elements of a behavioural theory of the firm. Much less attention has been directed to an alternative conception based on complexity theory, yet in recent years complexity theory has increasingly been concerned with the general attributes of evolutionary natural and social systems. In this article we explore the idea of the economic landscape as a complex adaptive system. We identify several key notions of what is being called the new ‘complexity economics’, and examine whether and in what ways these can be used to help inform an evolutionary perspective for understanding the uneven development and adaptive transformation of the economic landscape.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1093/jeg/lbm019
Additional Information: Advance Access published online on June 18, 2007. Innovative article that develops evolutionary economic geography by critically evaluating insights of recent complexity economics and complex adaptive system approaches. It investigates complexity approaches to regional economics and, by highlighting unresolved questions and key insights, makes original recommendations regarding the research agenda. Contributed half of underlying research and writing
ISSNs: 1468-2702 (print)
Keywords: complexity theory, evolution, economic landscape, networks, emergence, regional adaptation
Subjects:
ePrint ID: 47040
Date :
Date Event
18 June 2007Published
Date Deposited: 23 Jul 2007
Last Modified: 16 Apr 2017 18:32
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/47040

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