title: Cluster Analysis as a Means of Identifying Types of Demographic Characteristics (Russian Rural Population, European Part of Russia, Early 20th to Early 21st Century)
metadata.name: dc.contributor.author
metadata.value: Zhukov, D. S.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Kanishchev, V. V.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2022-09-19T12:26:36Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2022-09-19T12:26:36Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2022-06
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Zhukov D. S., Kanishchev V. V. ‘Cluster Analysis as a Means of Identifying Types of Demographic Characteristics (Russian Rural Population, European Part of Russia, Early 20th to Early 21st Century)’, Modern History of Russia, vol. 12, no. 2, 2022, pp. 454–476.
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/11701/spbu24.2022.212
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/37807
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The object of study is the demographic characteristics of the Russian rural population of the European
  part of Russia (at the level of individual governorates, regions, and republics) from the beginning of the twentieth
  century to the beginning of the twenty-first century. These data are analyzed in the context of general demographic
  trends. The goal is to identify regions with similar demographic indicators during several chronological periods
  (1902, 1940, 2002, 2020) and to observe the transformation of demographic characteristics in different periods
  of history and in different regions of European Russia. This provides the necessary material for making assumptions
  about the connection between demographic types and natural-geographical, economic-geographical, and
  ethnogeographical factors. The principal research method, multivariate cluster analysis, is a tool for identifying
  stable groups of typologically homogeneous objects. The clustering of regions was carried out on the basis of
  three key demographic indicators: fertility, mortality, and natural growth. The authors came to the conclusion that,
  as early as the beginning of the twentieth century, Russian agrarian society was already at different demographic
  stages, evolving from a traditional to a modernized society. In the middle of the century, discrepancies in the rates
  of demographic transition became noticeable, manifested in some conventional “dividing” lines such as the ones
  between Russian oblasts and some national republics; the ones between agro-industrial and industrial-agrarian
  regions; the ones between southern and northern territories; and, finally, the ones between the regions and
  republics close to and distant from Moscow. The entwinement of these lines gave rise to various cluster groupings
  and, apparently, led to some consequent variability in the types of demographic characteristics in different
  regions, which is also recorded at the beginning of the twentieth century. The authors also pay attention to types
  of “demographic responses” of different regions to the coronavirus pandemic.
metadata.lang: en_GB
metadata.name: dc.description.sponsorship
metadata.value: The research was supported by the Russian Science Foundation (RSF), project no. 18-18-00187 “The Demographic
  Behavior Policies of the Rural Population in the South of Central Russia in the 20th — Early 21st Century”.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Modern History of Russia;Volume 12; Issue 2
metadata.lang: -
metadata.name: dc.subject
metadata.value: rural population
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: historical demography
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: natural population growth
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: cluster analysis
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Cluster Analysis as a Means of Identifying Types of Demographic Characteristics (Russian Rural Population, European Part of Russia, Early 20th to Early 21st Century)
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 12_zhukov_kanishchev.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/37807/1/12_zhukov_kanishchev.pdf
resources.format: Adobe PDF
resources.size: 2,16 MB