On the issue of typology of regions of the Republic of Belarus in the context of demographic resilience
Keywords:
Republic of Belarus, regions, demographic stability, typological matrix, territorial polarisation and differentiation, types of administrative districts by the nature of annual population dynamicsAbstract
Based on the official statistical information of the National Statistical Committee of the Republic of Belarus for 1999 –2023, the spatial and temporal analysis of the annual population dynamics at the micro geographical level (115 cities, 83 urban-type settlements and 118 administrative districts) was carried out. The theoretical basis of the study is the concept of demographic resilience. Using the mathematical-statistical, comparative-geographical, cartographic methods, as well as grouping method, typological matrix and GIS tools, it was found that, compared to the end of the 20th century, over the period 1999 –2023, territorial polarisation and differentiation in urban settlements and rural areas of the Republic of Belarus at the micro geographical level increased. Similarities and differences in the dynamics of the urban and rural population of the Republic of Belarus at the local level were revealed. The similarities consist in the identification of growing and shrinking cities and rural areas, with the latter predominating (68 and 97 %, respectively), detection of an identical relationship between the population size and the annual rates of its decline, which is expressed in higher values of annual decline in small urban settlements (less than 20 thsd people) and rural areas (less than 10 thsd people). The differences are establishing lower annual rates of decline in the urban population compared to the rural population and identifying stable cities, identifying small cities with stable positive dynamics, determining a more homogeneous spatial picture of the dynamics of the rural population compared to a more heterogeneous spatial picture of the dynamics of the urban population. The analysis of the developed consolidated typological matrix made it possible to identify three types of districts in the Republic of Belarus in the context of demographic stability: demographically stable districts (4 %), represented by the districts of the Minsk Region, as well as the Brest and Ostrovets regions; demographic buffer districts (28 %), the majority of which are geographically located in the Minsk, Brest and Gomel regions; demographically problematic (instabile) districts (68 %), primarily located in the Vitebsk, Grodno and Mogilev regions. The identified differences serve as evidence of the validity of using of the typological approach at the local level and as a scientific tool for using a territorially oriented approach taking into account demographic diversity in developing public policy measures to ensure demographic resilience.
References
- Антипова ЕА. Демографическое развитие Республики Беларусь в ХХI веке: тенденции, региональные различия, проблемы. Народонаселение. 2016;1:4–14.
- Антипова ЕА. Региональные особенности демографического развития Республики Беларусь. В: Миронова ТН, Рязанцев СВ, редакторы. Состояние и перспективы демографического развития Республики Беларусь. Минск: В.И.З.А. Групп; 2017. с. 100–122.
- Антипова ЕА. Динамика демографического пространства Республики Беларусь в ХХІ веке: сходства и различия между городской и сельской местностью. Український географічний журнал. 2020;1:35–44.
- Bollig M. Resilience – analytical tool, bridging concept or development goal? Anthropological perspectives on the use of a border object. Journal of Social and Cultural Anthropology. 2014;139(2):253–279.
- De Souza R-M. Demographic resilience: linking population dynamics, the environment, and security. The SAIS Review of International Affairs. 2015;35(1):17–27.
- Capdevila P, Stott I, Beger M, Salguero-Gómez R. Towards a comparative framework of demographic resilience. Trends in Ecology & Evolution. 2020;35(9):776–786.
- Ke Shen, Yi Zeng. The association between resilience and survival among Chinese elderly. Demographic Research. 2010;23:105–116.
- Leiwen Jiang, Hardee K. How do recent population trends matter to climate change? Population Research and Policy Review. 2011;30(2):287–312.
- Colantoni A, Halbac-Cotoara-Zamfir R, Halbac-Cotoara-Zamfir C, Cudlin P, Salvati L, Gimenez Morera A. Demographic resilience in local systems: an empirical approach with census data. Systems. 2020;8:34.
- Burns L, See L, Heppenstall A, Birkin M. Developing an individual-level geodemographic classification. Applied Spatial Analysis and Policy. 2018;11:417–437.
- Abbas J, Ojo A, Orange S. Geodemographics – a tool for health intelligence? Public Health. 2009;123(1):e35–e39.
- Singleton AD, Longley PA. Creating open source geodemographics: refining a national classification of census output areas for applications in higher education. Papers in Regional Science. 2009;88(3):643–667.
- Burns L. Creating a health/deprivation geodemographic classification system using k-means clustering methods [Internet]. London: SAGE Publications Ltd.; 2016 [cited 2024 May 12]. Available from: https://methods.sagepub.com/case/health-deprivation-geodemographic-classification-system-k-means-clustering.
- Lili Xiang, Stillwell J, Burns L, Heppenstall A, Norman P. A geodemographic classification of sub-districts to identify education inequality in Central Beijing. Computers, Environment and Urban Systems. 2018;70:59–70.
- Corcoran J, Higgs G, Anderson T. Examining the use of a geodemographic classification in an exploratory analysis of variations in fire incidence in South Wales, UK. Fire Safety Journal. 2013;62(part A):37–48.
- Gulma UL. A new geodemographic classification of the influence of neighbourhood characteristics on crime: the case of Leeds, UK. Computers, Environment and Urban Systems. 2022;92:101748.
- Moon G, Twigg L, Jones K, Aitken G, Taylor J. The utility of geodemographic indicators in small area estimates of limiting long-term illness. Social Science & Medicine. 2019;227:47–55.
- Singleton AD, Longley PA. Data infrastructure requirements for new geodemographic classifications: the example of London’s workplace zones. Applied Geography. 2019;109:102038.
- Yue Lin. You are where you live? Evaluating the racial and ethnic (mis)representation in geodemographic classification. Applied Geography. 2024;165:103244.
- Балина ТА, Пономарёва ЗВ, Чекменева ЛЮ. Территориальные особенности демографических процессов в регионах России: анализ и типология. Вестник Пермского национального исследовательского политехнического университета. Социально-экономические науки. 2019;4:31–43.
- Аношкин РВ. Типология регионов Российской Федерации по демографической ситуации. Экология урбанизированных территорий. 2008;2:19–24.
- Белозёров ВС, Соловьёв ИА, Щитова НА, Сопнев НВ. Типология городов-центров городских агломераций по характеру демографического развития (на примере Европейской России). Известия Российской академии наук. Серия географическая. 2022;86(5):665–675.
- Попова СА, Коробейников ДА, Колпакова ЕА. Типология сельских территорий Российской Федерации на основе демографической дифференциации регионов. Казанский экономический вестник. 2020;2(46):42–47.
- Толмачев МН, Латков АВ, Барашов НГ. Демографическое развитие сельского населения регионов России: типология и прогноз. Вестник СамГУПС. 2020;2:38–45.
- Соян ШЧ. Типология муниципальных районов Республики Тыва по демографическим параметрам. Конкурентоспособность в глобальном мире: экономика, наука, технологии. 2017;12:586–589.
- Козлова МА, Виноградова ЮВ, Масленикова ТВ. Типология муниципальных образований Костромской области по демографической ситуации. Теория и практика современной науки. 2016;3:200–208.
- Колесников БЛ, Екимов АК, Редина ОС. Типология сельских районов Оренбургской области в свете демографических проблем. Вестник Оренбургского государственного университета. 2006;10(часть 2):379–383.
- Яковенко НВ, Куролап СА, Комов ИВ. Типология муниципальных образований Воронежской области по уровню демографического развития. Здоровье и образование в XXI веке. 2016;18(7):86 – 89.
- Антипова ЕА. Демографическая безопасность и демографическая устойчивость: новый взгляд на проблему в условиях роста планерных нагрузок. В: Гурский ВЛ, редактор. Стратегия развития экономики Беларуси: вызовы, инструменты реализации и перспективы. Том 2. Минск: Право и экономика; 2021. с. 167–172.
- Антипова ЕА, Чэнь Ли. Территориальная дифференциация демографического старения Китая в ХХI веке. Журнал Белорусского государственного университета. География. Геология. 2023;1:3–18.
- Antipova EA, Chen Li. Spatial and temporal shifts in the demographic development of china at the end of the 20th and the beginning of the 21st centuries. Journal of Settlements and Spatial Planning. 2021;2:93–105.
- Асташова ЮВ, Демченко АИ. Подход к демографической типологии региональных рынков в контексте стратегий развития геронтомаркетинга. Вестник Южно-Уральского государственного университета. Серия: Экономика и менеджмент. 2023;17(4):167–176.
- Чэнь Ли. Некоторые аспекты демографической политики Китая в области старения. В: Заяц ДВ, редактор. Социально-экономическая география: теория, методология и практика преподавания. Материалы Всероссийской научно-практической конференции с международным участием «Седьмые Максаковские чтения»; 27 мая 2022 г.; Москва, Россия. Москва: Сам полиграфист; 2022. с. 146–153.
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