Evolutionary Geography
Across the globe we find spatial agglomerations of common economic activity. How does complexity help us understand the emergence of economic clusters?
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Evolutionary Economic Geography (EEG) tries to understand how economic agglomerations or clusters emerge from the bottom-up. This branch of economics draws significantly from principles of complexity and emergence, seeing the rise of particular regions as being path-dependent, and trying to understand the forces at work that drive change for economic agents - the firms that make up our economic environment.
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Explore Evolutionary Geography further in the topics and collections below.
Non-Linearity
Emergence
Bottom-up Agents
Adaptive Capacity
Schemata
Requisite Variety
Preferential Attachment
Path Dependency
Local Interactions
Flow of Energy
Feedback
Attractor States
Parents
Evolutionary Geography is part of the following collections.
Itzhak Benenson
Eric Sheppard
Complexity & Urbanism
Ron Martin
Adaptive Capacity
Bottom-up Agents
Emergence
Non-Linearity
Henry Wai-chung Yeung
Koen Franken
Paul Torrens
Peter Sunley
Ron Boschma
Photo Credit and Caption: Evolutionary Economic Geog.
Cite this page:
Wohl, S. (2019, 13 November). Evolutionary Geography. Retrieved from https://kapalicarsi.wittmeyer.io/taxonomy/evolutionary-economic-geography
Evolutionary Geography was updated November 13th, 2019.
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Evolutionary Economic Geography
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Navigating Complexity © 2015-2021 Sharon Wohl, all rights reserved. Developed by Sean Wittmeyer