Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/32958
Title: Test of two hypotheses explaining the size of populations in a system of cities
Authors: Vitanov, Nikolay K.
Ausloos, Marcel
First Published: 2-Jun-2015
Publisher: Taylor & Francis (Routledge)
Citation: Journal of Applied Statistics, 2015
Abstract: Two classical hypotheses are examined about the population growth in a system of cities: Hypothesis 1 pertains to Gibrat's and Zipf's theory which states that the city growth–decay process is size independent; Hypothesis 2 pertains to the so-called Yule process which states that the growth of populations in cities happens when (i) the distribution of the city population initial size obeys a log-normal function, (ii) the growth of the settlements follows a stochastic process. The basis for the test is some official data on Bulgarian cities at various times. This system was chosen because (i) Bulgaria is a country for which one does not expect biased theoretical conditions; (ii) the city populations were determined rather precisely. The present results show that: (i) the population size growth of the Bulgarian cities is size dependent, whence Hypothesis 1 is not confirmed for Bulgaria; (ii) the population size growth of Bulgarian cities can be described by a double Pareto log-normal distribution, whence Hypothesis 2 is valid for the Bulgarian city system. It is expected that this fine study brings some information and light on other usually considered to be more pertinent countries of city systems.
DOI Link: 10.1080/02664763.2015.1047744
ISSN: 0266-4763
eISSN: 1360-0532
Links: http://www.tandfonline.com/doi/full/10.1080/02664763.2015.1047744#.Vdbnb_lK-5I
http://hdl.handle.net/2381/32958
Version: Post-print
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © 2015, Taylor & Francis (Routledge). Deposited with reference to the publisher’s archiving policy available on the SHERPA/RoMEO website.
Appears in Collections:Published Articles, School of Management

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