2009/03/20 by Kausik Gangopadhyay, B. Basu, Banasri Basu · 74 citations
Economics, Econometrics and Finance · Physics and Astronomy · #Archaeology #China #Geography #Regional Economic and Spatial Analysis #Regional Economics and Spatial Analysis #Spatial and Panel Data Analysis #physics.soc-ph
paper · pdf · doi:10.1016/j.physa.2009.03.019
published in Physica A Statistical Mechanics and its Applications 388(13), 2682-2688 (Elsevier BV) · 9 pages, 8 figures
openalex publication_date 2009/03/20 · arxiv created 2010/01/06 · arxiv updated 2015/05/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
This paper studies the size distributions of urban agglomerations for India and China. We have estimated the scaling exponent for the Zipf's law with the Indian census data for the years of 1981-2001 and the Chinese census data for 1990 and 2000. Along with the biased linear fit estimate, the maximum likelihood estimate for the Pareto and Tsallis q-exponential distribution has been computed. For India, the scaling exponent is in the range of [1.88, 2.06] and for China, it is in the interval [1.82, 2.29]. The goodness-of-fit tests of the estimated distributions are performed using the Kolmogorov-Smirnov statistic.