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Company size distribution in different countries

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Author Info

  • Ramsden, J.J.
  • Kiss-Haypál, Gy.

Abstract

The distribution of companies in a country, ranked in order of size (annual net revenue) s, follows the simplified canonical law sr∼(r+ρ)−1/θ remarkably well, where r is the rank, and θ and ρ are the parameters of the distribution. These parameters have been determined for 20 countries in America, Asia and Europe. Significant differences between countries are found. Neither θ nor ρ appears to correlate well with traditional economic indicators; indeed some countries often thought to be economically and politically, but not necessarily socially, similar show surprising differences, suggesting that wealth and prosperity are influenced by hidden layers hitherto inaccessible through standard economic theory.

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Bibliographic Info

Article provided by Elsevier in its journal Physica A: Statistical Mechanics and its Applications.

Volume (Year): 277 (2000)
Issue (Month): 1 ()
Pages: 220-227

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Handle: RePEc:eee:phsmap:v:277:y:2000:i:1:p:220-227

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Web page: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/

Related research

Keywords: Annual revenue; Company size; Simplified canonical law; Zipf law;

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Cited by:
  1. Pasquale Cirillo & Mauro Gallegati, 2012. "The Empirical Validation of an Agent-based Model," Eastern Economic Journal, Palgrave Macmillan, vol. 38(4), pages 525-547.
  2. Alegria, Carlos & Schaeck, Klaus, 2008. "On measuring concentration in banking systems," Finance Research Letters, Elsevier, Elsevier, vol. 5(1), pages 59-67, March.
  3. Alex Coad, 2008. "The exponential age distribution and the Pareto firm size distribution," Jena Economic Research Papers 2008-072, Friedrich-Schiller-University Jena, Max-Planck-Institute of Economics.
  4. Luis Garicano & Claire LeLarge & John Van Reenen, 2013. "Firm Size Distortions and the Productivity Distribution: Evidence from France," NBER Working Papers 18841, National Bureau of Economic Research, Inc.
  5. Naldi, M., 2003. "Concentration indices and Zipf's law," Economics Letters, Elsevier, vol. 78(3), pages 329-334, March.
  6. Fujimoto, Shouji & Ishikawa, Atushi & Mizuno, Takayuki & Watanabe, Tsutomu, 2011. "A new method for measuring tail exponents of firm size distributions," Economics Discussion Papers 2011-29, Kiel Institute for the World Economy.
  7. Fujimoto, S. & Ishikawa, A. & Mizuno, T. & Watanabe, T., 2011. "A New Method for Measuring Tail Exponents of Firm Size Distributions," Working Paper Series 7, Center for Interfirm Network, Institute of Economic Research, Hitotsubashi University.
  8. Yannick Malevergne & Pedro Santa-Clara & Didier Sornette, 2009. "Professor Zipf goes to Wall Street," NBER Working Papers 15295, National Bureau of Economic Research, Inc.
  9. Y. Malevergne & D. Sornette, 2007. "A two-Factor Asset Pricing Model and the Fat Tail Distribution of Firm Sizes," Papers physics/0702027, arXiv.org.
  10. Pasquale Cirillo & Carlo Bianchi & Mauro Gallegati & Pietro Vagliasindi, 2006. "Validating and Calibrating Agent-based Models: a Case Study," Computing in Economics and Finance 2006 277, Society for Computational Economics.
  11. Fujimoto, Shouji & Ishikawa, Atushi & Mizuno, Takayuki & Watanabe, Tsutomu, 2011. "A new method for measuring tail exponents of firm size distributions," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy, vol. 5(20), pages 1-20.
  12. Juan-Carlos Candeal & Antonio Montañés & Irene Olloqui, 2003. "Spurious Zipf's Law," ERSA conference papers ersa03p67, European Regional Science Association.
  13. Ying Fan & Menghui Li & Zengru Di, 2004. "Increasing Returns to Scale, Dynamics of Industrial Structure and Size Distribution of Firms," Papers cond-mat/0407383, arXiv.org.
  14. Bianchi, Carlo & Cirillo, Pasquale & Gallegati, Mauro & Vagliasindi, Pietro A., 2008. "Validation in agent-based models: An investigation on the CATS model," Journal of Economic Behavior & Organization, Elsevier, vol. 67(3-4), pages 947-964, September.
  15. Hernández-Pérez, R., 2010. "An analogy of the size distribution of business firms with Bose–Einstein statistics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(18), pages 3837-3843.

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