Statistical dynamics of regional populations and economies

Jie Huo, Xu-Ming Wang, Rui Hao and Peng Wang
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Jie Huo: School of Physics and Electronic-Electrical Engineering, Ningxia University, Yinchuan 750021, P. R. China2Ningxia Key Laboratory of Intelligent, Sensing for Desert Information, Yinchuan 750021, P. R. China
Xu-Ming Wang: School of Physics and Electronic-Electrical Engineering, Ningxia University, Yinchuan 750021, P. R. China2Ningxia Key Laboratory of Intelligent, Sensing for Desert Information, Yinchuan 750021, P. R. China
Rui Hao: School of Physics and Electronic-Electrical Engineering, Ningxia University, Yinchuan 750021, P. R. China2Ningxia Key Laboratory of Intelligent, Sensing for Desert Information, Yinchuan 750021, P. R. China
Peng Wang: School of Physics and Electronic-Electrical Engineering, Ningxia University, Yinchuan 750021, P. R. China2Ningxia Key Laboratory of Intelligent, Sensing for Desert Information, Yinchuan 750021, P. R. China

International Journal of Modern Physics C (IJMPC), 2017, vol. 28, issue 12, 1-16

Abstract: Quantitative analysis of human behavior and social development is becoming a hot spot of some interdisciplinary studies. A statistical analysis on the population and GDP of 150 cities in China from 1990 to 2013 is conducted. The result indicates the cumulative probability distribution of the populations and that of the GDPs obeying the shifted power law, respectively. In order to understand these characteristics, a generalized Langevin equation describing variation of population is proposed, which is based on the correlations between population and GDP as well as the random fluctuations of the related factors. The equation is transformed into the Fokker–Plank equation to express the evolution of population distribution. The general solution demonstrates a transition of the distribution from the normal Gaussian distribution to a shifted power law, which suggests a critical point of time at which the transition takes place. The shifted power law distribution in the supercritical situation is qualitatively in accordance with the practical result. The distribution of the GDPs is derived from the well-known Cobb–Douglas production function. The result presents a change, in supercritical situation, from a shifted power law to the Gaussian distribution. This is a surprising result–the regional GDP distribution of our world will be the Gaussian distribution one day in the future. The discussions based on the changing trend of economic growth suggest it will be true. Therefore, these theoretical attempts may draw a historical picture of our society in the aspects of population and economy.

Keywords: Statistical dynamics; cumulative distribution function; shifted power law; generalized Langevin equation; Fokker–Plank equation (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1142/S0129183117501509

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