Zipf’s Law for Russian Cities: Analysis of New Indicators

Растворцева, С.Н.; Манаева, И.В.

doi:10.17059/ekon.reg.2020-3-20

Cited by 10 publications

(13 citation statements)

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“…Thus, we need a polycentric measure that can capture the uneven character of population size distribution. While primacy ratio does not account for the hierarchical distribution of centers, Green’s indicator requires ‘urban regions/cities with a few large centers that “stand out”’ (Derudder et al, 2021), but the distribution of population differs considerably between Russian regions (Kolomak, 2016; Rastvortseva & Manaeva, 2020).…”

Section: Methods and Datamentioning

confidence: 99%

“…Further studies suggested that Zipf's law was valid both on a national level and the level of federal states, and partly even at a deeper (regional) structural level (Just & Stephan, 2009). Thus, we could use a polycentric measure based on this approach to analyze polycentricity across Russian regions (Rastvortseva & Manaeva, 2020).…”

Section: Choosing the Territorial Unit And Assessing Morphological Po...mentioning

confidence: 99%

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Do polycentric patterns influence the economic performance of municipalities? Empirical evidence from Russia

Krasnoselskaya

Timiryanova

2022

Regional Science Policy & Practice

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Matters of post‐transitional development in the Russian Federation are closely associated with inequalities both within and across its regions. This paper aims to assess the variance in the volume of production at the municipal level and find out how it depends on municipal‐level determinants and polycentric regional structure. Our study uses data from 2,271 municipalities including 19,612 urban and rural settlements in 2019. Hierarchical models distinguished intraregional and interregional effects and showed that investment and polycentricity positively affect production volume. Our findings improve our understanding of variance in the economic performance of municipalities.

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Section: Methods and Datamentioning

confidence: 99%

Section: Choosing the Territorial Unit And Assessing Morphological Po...mentioning

confidence: 99%

Do polycentric patterns influence the economic performance of municipalities? Empirical evidence from Russia

Krasnoselskaya

Timiryanova

2022

Regional Science Policy & Practice

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“…These results indicated a moderate but systematic deviation away from Zipf's law when areas with lower density were included in the definition of urban regions [44]. Rastvortseva and Manaeva [45] used 2014 population data to examine the rank-size of the Federal Districts in Russia and concluded that the Russian territory conformed to Zipf's law. However, for individual Federal Districts in Russia, the conformity to Zipf's law depended on the size of these Federal Districts.…”

Section: Literature Examining Zipf's Law In Developed Countriesmentioning

confidence: 98%

Rank-size Distribution of Cities and Municipalities in Bangladesh

Bajracharya¹,

Sultana²

2020

Sustainability

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This paper examines and updates the rank-size distribution of cities and municipalities in Bangladesh between 1990 and 2019 based on two criteria: (1) built-up urban areas; and (2) population. The distribution of built-up urban areas and population are compared to provide a robust theoretical underpinning of Zipf’s law for future urban developmental planning framework. The data on built-up urban areas is extracted from land cover classification using Google Earth Engine and the population data is obtained from the decennial censuses. The comparison of the conformity to Zipf’s law indicated contradictory results. While a greater proportion of the population has been increasingly concentrated in the smaller and midsized cities over the last three decades, built-up urban areas, on the other hand, have been mostly clustered in two largest cities— Dhaka and Chittagong—accounting for 50 to nearly 60 percent of the total built-up urban areas. These results shed light on the magnitude of continued spatial inequalities in urban development amongst cities and municipalities in Bangladesh despite there being an overall increase of evenness in the distribution of population over time. These results imply an unsustainable rate of urban expansion in Bangladesh and reinforce the need for the exploration of policies and regulations targeted at guiding the rate and direction of evenness in urban expansion.

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“…Initial studies have used population to measure city size (Auerbach, 1913;Zipf, 1949) because it is the most accessible and intuitive data. Further studies recently have also demonstrated the reliability of the population and its derived indicators (Rastvortseva and Manaeva, 2020). Land use data is another critical proxy for the city-size distribution (Fluschnik et al, 2016;Shi et al, 2016).…”

Section: Theoretical Evolutionmentioning

confidence: 99%

“…Frontiers in Environmental Science frontiersin.org can measure the global city-size distribution is derived (Fluschnik et al, 2016;Shi et al, 2016;Rastvortseva and Manaeva, 2020). However, these not necessarily accurate statistics may lack comparability in time series, which in turn leads to distorted conclusions.…”

Section: Figurementioning

confidence: 99%

Intra city-size distribution in the Yangtze River Delta Region: Equalization or polarization

Pang

Zhao

Wang

2023

Front. Environ. Sci.

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In the context of China’s New Urbanization Strategy, a growing number of cities are beginning to experience significant changes in their intra-city structure and size distribution, but systematic research is still lacking. This paper investigated the intra city-size distribution of 214 cities in China’s Yangtze River Delta Region (YRDR) from 1990 to 2020. The study used the Pareto index to portray the equalization differences in intra city-size distribution, and investigated the heterogeneity of its influencing factors using multiscale geographically weighted regression (MGWR). The results showed that most of the cities in the YRDR had a city-size distribution consistent with a Pareto distribution but still tended to be polarized. Among them, the better-developed large cities and regions were more consistent with the Zipf distribution, as were the county-level cities and prefecture-level cities. In terms of spatio-temporal distribution, the intra city-size distribution showed a spatial agglomeration pattern of “polarization in the west and equalization in the east” and the scope and intensity of cold and hot spots reduced. Regarding driving factors, land, industry, and population were essential influences on the intra city-size distribution. Of these, the natural environment and location were important global influencing factors, and economic and social factors only had a more significant influence in 1990 and 2020. The impact of industry restructuring gradually increased, and the population was a significant influence only in the early years. By exploring the intra city-size distribution, this paper provides a scientific basis for the optimization of town structure and policy formulation in small and medium-sized cities, and some new concerns have been proposed.

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Zipf’s Law for Russian Cities: Analysis of New Indicators

Cited by 10 publications

References 0 publications

Do polycentric patterns influence the economic performance of municipalities? Empirical evidence from Russia

Do polycentric patterns influence the economic performance of municipalities? Empirical evidence from Russia

Rank-size Distribution of Cities and Municipalities in Bangladesh

Intra city-size distribution in the Yangtze River Delta Region: Equalization or polarization

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