Per capita wealth in cities and regions fitted to Pareto, stretched exponential and econophysics Boltzmann–Gibbs distributions

D. B. Sánchez-Espinosa (), J. Hernández-Casildo (), E. Hernández-Ramírez () and M. del Castillo-Mussot
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D. B. Sánchez-Espinosa: Facultad de Ciencias, Universidad Nacional Autónoma de México, México City 04510, Mexico
J. Hernández-Casildo: Escuela Superior de Física y Matemáticas, Instituto Politécnico Nacional, México City 07738, Mexico
E. Hernández-Ramírez: Instituto de Investigaciones Económicas, Universidad Nacional Autónoma de México, México City 04510, Mexico
M. del Castillo-Mussot: Instituto de Física, Universidad Nacional Autónoma de México, México City 04510, Mexico

International Journal of Modern Physics C (IJMPC), 2023, vol. 34, issue 02, 1-17

Abstract: From the years 2001 to 2017, per capita nominal and real (adjusted to inflation) GDP at purchasing power parity (PCGDP-PPP) distributions for cities and regions are fitted to various functions. For most years and regions, real PCGDP-PPP data are very well adjusted to the one-parameter Boltzmann–Gibbs distribution (BGD), in accordance with the exponential behavior predicted by the simple econophysics analogy between conserved money in economic trade and energy in elastic collisions in gases. Overall, fittings are better for large regions in recent years, which may reflect an increasing economic globalization in time. Cities, small regions and large regions values are well fitted by stretched exponential distributions.

Keywords: Econophysics; economy; wealth distribution; complex systems (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1142/S0129183123500171

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