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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).

Record type: Article

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.

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More information

Published date: 18 June 2007
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
Keywords: complexity theory, evolution, economic landscape, networks, emergence, regional adaptation

Identifiers

Local EPrints ID: 47040
URI: http://eprints.soton.ac.uk/id/eprint/47040
ISSN: 1468-2702
PURE UUID: b0819492-ff88-4ecd-b486-6e35624fac12

Catalogue record

Date deposited: 23 Jul 2007
Last modified: 17 Jul 2017 15:05

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Contributors

Author: Ron Martin
Author: Peter Sunley

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