Methodology for Analyzing the Demographic Potential of Russian Regions Using Fuzzy Clustering

Shubat, Oksana; Bagirova, Anna; Akishev, Alexander

doi:10.17059/2019-1-14

Cited by 5 publications

(3 citation statements)

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“…Conducting cluster analysis as one of the methods that studies multidimensional classifications according to the main grouping criteria. Using cluster analysis allows applying a differentiated approach to the substantiation of options for the condition and development of a particular territory (Shubat, Bagirova, & Akishev, 2019).…”

Section: Resultsmentioning

confidence: 99%

Clustering Of Municipalities By Type Of Demographic Environment

Притула¹

2019

The European Proceedings of Social and Behavioural Sciences

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Section: Resultsmentioning

confidence: 99%

Clustering Of Municipalities By Type Of Demographic Environment

Притула¹

2019

The European Proceedings of Social and Behavioural Sciences

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“…Cluster analysis is used commonly to identify segmentations within regions by researchers and policy makers in various fields (Shubat et al, 2019. Cluster analysis is a statistical method for classification. Unlike other methods for categorization, it does not make previous assumptions about differences within a population (Punj and Stewart, 2018).…”

Section: Cluster Analysismentioning

confidence: 99%

“…Unlike other methods for categorization, it does not make previous assumptions about differences within a population (Punj and Stewart, 2018). The use of cluster analysis can be done to understand the economic development of households within municipalities, identify clusters of populations based on economic measurement or on economic capability (Shubat et al, 2019). The outcomes of cluster analysis are used to create cluster schemes in order to generate economic development solutions (Cortright, 2006).…”

Section: Cluster Analysismentioning

confidence: 99%

The evolution and spatial assimilation of The Tamil Srilankan community in The Toronto CMA, 2006-2020

Zarook

2023

Preprint

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<p>Despite the many studies that have been conducted on Sri Lankan immigrants in Canada, the process of how Sri Lankan Tamils have evolved in terms of social economic development has not been assessed. This study examines Sri Lankan Tamils living in the Toronto Census Metropolitan Area across different socioeconomic divisions. A cross-sectional statistical analysis of the Sri Lankan immigrant population proves that the suburbanized population of Sri Lankan Tamils within the Toronto CMA has evolved, carrying a higher and positive socioeconomic status while successfully spatially assimilating versus its co-ethnics living in the City of Toronto. Tamil commercial activity has drastically evolved, lifting this community’s SES from low to high as the majority of businesses are now concentrating in the quaternary sector such as real estate, medicine, law, insurance and accounting.</p>

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Interdependence of the rural housing stock and the rural population: a scientific perspective

Assylbayev,

Niiazalieva,

Kryzhanova

et al. 2024

BIO Web Conf.

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This scientific article addresses the pressing issue of providing decent housing for the rural population of the Kyrgyz Republic, which has arisen due to uneven development of demographic and housing trends in rural areas. The research aims to solve this regional problem by managing interdependent demographic and housing trends. The study employs a general scientific methodology to analyze the relationship between the rural population and the volume of rural housing stock. A methodological approach to solving the regional problem of housing provision is presented, including a statistical analysis of demographic and housing aspects in time and space. The main results of the study include data on the mutual influence of demographic and housing dynamics in rural areas and a comparative forecast of demographic and housing parameters of rural development until 2030. Recommendations are provided within the framework of the Republican housing program “My Home” for 2021-2026. This study is highly significant in terms of its practical applicability and relevance for the development of regional policy.

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Methodology for Analyzing the Demographic Potential of Russian Regions Using Fuzzy Clustering

Cited by 5 publications

References 1 publication

Clustering Of Municipalities By Type Of Demographic Environment

Clustering Of Municipalities By Type Of Demographic Environment

The evolution and spatial assimilation of The Tamil Srilankan community in The Toronto CMA, 2006-2020

Interdependence of the rural housing stock and the rural population: a scientific perspective

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