Transformation Networks: A study of how technological complexity impacts economic performance

Christopher D. Hollander (), Ivan Garibay and Thomas O’Neal ()
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Christopher D. Hollander: University of Central Florida
Thomas O’Neal: University of Central Florida

Chapter Chapter 2 in Managing Market Complexity, 2012, pp 15-26 from Springer

Abstract: Abstract Under a resource-based view of the firm, economic agents transform resources from one form into another. These transformations can be viewed as the application of technology. The relationships between the technologies present in an economy can be modeled by a transformation network. The size and structure of these networks can describe the “economic complexity” of a society. In this paper, we use an agent-based computational economics model to investigate how the density of a transformation network affects the economic performance of its underlying artificial economy, as measured by the GDP. Our results show that the mean and median GDP of this economy increases as the density of its transformation network increases; furthermore, the cause of this increase is related to the number and type of cycles and sinks in the network. Our results suggest that economies with a high degree of economic complexity perform better than simpler economies with lower economic complexity.

Keywords: Economic Performance; Transformation Rule; Economic Agent; Dynamic Stochastic General Equilibrium; Dynamic Stochastic General Equilibrium Model (search for similar items in EconPapers)
Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnechp:978-3-642-31301-1_2

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DOI: 10.1007/978-3-642-31301-1_2

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