Complexity thinking and evolutionary economic geography
Martin, Ron and Sunley, Peter (2007) Complexity thinking and evolutionary economic geography. Journal of Economic Geography, 7, (5), 573-601. (doi:10.1093/jeg/lbm019).
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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.
|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|
|Subjects:||G Geography. Anthropology. Recreation > GF Human ecology. Anthropogeography
H Social Sciences > HB Economic Theory
|Divisions:||University Structure - Pre August 2011 > School of Geography > Economy, Culture, Space
|Date Deposited:||23 Jul 2007|
|Last Modified:||27 Mar 2014 18:30|
|Contact Email Address:||P.J.Sunley@soton.ac.uk|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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