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Typical properties of optimal growth in the Von Neumann expanding model for large random economies

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  • Andrea De Martino
  • Matteo Marsili

Abstract

We calculate the optimal solutions of the fully heterogeneous Von Neumann expansion problem with $N$ processes and $P$ goods in the limit $N\to\infty$. This model provides an elementary description of the growth of a production economy in the long run. The system turns from a contracting to an expanding phase as $N$ increases beyond $P$. The solution is characterized by a universal behavior, independent of the parameters of the disorder statistics. Associating technological innovation to an increase of $N$, we find that while such an increase has a large positive impact on long term growth when $N\ll P$, its effect on technologically advanced economies ($N\gg P$) is very weak.

Suggested Citation

  • Andrea De Martino & Matteo Marsili, 2005. "Typical properties of optimal growth in the Von Neumann expanding model for large random economies," Papers physics/0507032, arXiv.org.
  • Handle: RePEc:arx:papers:physics/0507032
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    Cited by:

    1. Daniele De Martino & Matteo Figliuzzi & Andrea De Martino & Enzo Marinari, 2012. "A Scalable Algorithm to Explore the Gibbs Energy Landscape of Genome-Scale Metabolic Networks," PLOS Computational Biology, Public Library of Science, vol. 8(6), pages 1-12, June.

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