Zipf’s Law for Russian Cities: Analysis of New Indicators
At the present stage, urban economists widely use Zipf ’s law to assess the urban regional and national systems. Zipf ’s law or the rank–size rule is a pattern linking the population of a city with its place in the hierarchy of cities arranged in descending order depending on their size. Using Z...
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| Format: | Article |
| Language: | English |
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Russian Academy of Sciences, Institute of Economics of the Ural Branch
2020-09-01
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| Series: | Экономика региона |
| Subjects: | |
| Online Access: | https://www.economyofregion.com/data/jarticles/3310.pdf |
| _version_ | 1797722236711337984 |
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| author | Svetlana N. Rastvortseva Inna V. Manaeva |
| author_facet | Svetlana N. Rastvortseva Inna V. Manaeva |
| author_sort | Svetlana N. Rastvortseva |
| collection | DOAJ |
| description | At the present stage, urban economists widely use Zipf ’s law to assess the urban regional and national systems. Zipf ’s law or
the rank–size rule is a pattern linking the population of a city with its place in the hierarchy of cities arranged in descending order
depending on their size. Using Zipf ’s law, the study aims to analyse the uniformity of the distribution of population, employees,
enterprises and organisations in Russian cities. The research is based on the data of the Federal State Statistics Service. We
selected a sample of cities from each Federal District and Russia as a whole. The sample included settlements with the status cities
and more than 100 thousand inhabitants in 2016. The maximum values of the Zipf coefficient were calculated for the indicators
“population size” and “average annual number of employees of enterprises”. Regarding the Federal Districts, the estimated Zipf
coefficients ranges from 0.5 to 0.9 in terms of the population size; from 0.4 to 0.8 in terms of the average annual number of the
employees of enterprises; from 0.4 to 0.8 in terms of the number of enterprises and organisations. For reducing the identified
interregional differentiation in the Federal Districts of Russia, we advise to develop small and medium cities. Further research
should focus on the application of Zipf ’s law to create a method for determining the optimal size of a city in a territorial space. |
| first_indexed | 2024-03-12T09:44:37Z |
| format | Article |
| id | doaj.art-e94644a5508d41778a4ec0034f5ee751 |
| institution | Directory Open Access Journal |
| issn | 2072-6414 2411-1406 |
| language | English |
| last_indexed | 2024-03-12T09:44:37Z |
| publishDate | 2020-09-01 |
| publisher | Russian Academy of Sciences, Institute of Economics of the Ural Branch |
| record_format | Article |
| series | Экономика региона |
| spelling | doaj.art-e94644a5508d41778a4ec0034f5ee7512023-09-02T13:00:30ZengRussian Academy of Sciences, Institute of Economics of the Ural BranchЭкономика региона2072-64142411-14062020-09-01163935947https://doi.org/10.17059/ekon.reg.2020-3-20Zipf’s Law for Russian Cities: Analysis of New IndicatorsSvetlana N. Rastvortseva 0https://orcid.org/0000-0002-1599-359X Inna V. Manaeva 1https://orcid.org/0000-0002-4517-7032 National Research University “Higher School of EconomicsBelgorod State National Research UniversityAt the present stage, urban economists widely use Zipf ’s law to assess the urban regional and national systems. Zipf ’s law or the rank–size rule is a pattern linking the population of a city with its place in the hierarchy of cities arranged in descending order depending on their size. Using Zipf ’s law, the study aims to analyse the uniformity of the distribution of population, employees, enterprises and organisations in Russian cities. The research is based on the data of the Federal State Statistics Service. We selected a sample of cities from each Federal District and Russia as a whole. The sample included settlements with the status cities and more than 100 thousand inhabitants in 2016. The maximum values of the Zipf coefficient were calculated for the indicators “population size” and “average annual number of employees of enterprises”. Regarding the Federal Districts, the estimated Zipf coefficients ranges from 0.5 to 0.9 in terms of the population size; from 0.4 to 0.8 in terms of the average annual number of the employees of enterprises; from 0.4 to 0.8 in terms of the number of enterprises and organisations. For reducing the identified interregional differentiation in the Federal Districts of Russia, we advise to develop small and medium cities. Further research should focus on the application of Zipf ’s law to create a method for determining the optimal size of a city in a territorial space.https://www.economyofregion.com/data/jarticles/3310.pdfzipf ’s lawrank–size rulecitycity hierarchyfederal districtcity sizepopulation densityaverage annual number of employees of enterprisesaverage monthly wagenumber of enterprises in the city |
| spellingShingle | Svetlana N. Rastvortseva Inna V. Manaeva Zipf’s Law for Russian Cities: Analysis of New Indicators Экономика региона zipf ’s law rank–size rule city city hierarchy federal district city size population density average annual number of employees of enterprises average monthly wage number of enterprises in the city |
| title | Zipf’s Law for Russian Cities: Analysis of New Indicators |
| title_full | Zipf’s Law for Russian Cities: Analysis of New Indicators |
| title_fullStr | Zipf’s Law for Russian Cities: Analysis of New Indicators |
| title_full_unstemmed | Zipf’s Law for Russian Cities: Analysis of New Indicators |
| title_short | Zipf’s Law for Russian Cities: Analysis of New Indicators |
| title_sort | zipf s law for russian cities analysis of new indicators |
| topic | zipf ’s law rank–size rule city city hierarchy federal district city size population density average annual number of employees of enterprises average monthly wage number of enterprises in the city |
| url | https://www.economyofregion.com/data/jarticles/3310.pdf |
| work_keys_str_mv | AT svetlananrastvortseva zipfslawforrussiancitiesanalysisofnewindicators AT innavmanaeva zipfslawforrussiancitiesanalysisofnewindicators |