Developing an algorithm for rapid assessment of living standards and quality of life of the population in the region

The article presents the rapid assessment methodology that allows analysts to carry out qualitative monitoring of the living standards of the population using a wide range of methods for statistics processing (factor analysis, cluster analysis, discriminant analysis, method of combining indicators...

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Main Authors: Marina Lesnichaya, Oksana Kolchina, Evgenii Pahomov
Format: Article
Language:Ukrainian
Published: Igor Sikorsky Kyiv Polytechnic Institute 2021-09-01
Series:Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï
Subjects:
Online Access:http://journal.iasa.kpi.ua/article/view/239871
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author Marina Lesnichaya
Oksana Kolchina
Evgenii Pahomov
author_facet Marina Lesnichaya
Oksana Kolchina
Evgenii Pahomov
author_sort Marina Lesnichaya
collection DOAJ
description The article presents the rapid assessment methodology that allows analysts to carry out qualitative monitoring of the living standards of the population using a wide range of methods for statistics processing (factor analysis, cluster analysis, discriminant analysis, method of combining indicators of different dimensions). This methodology is characterized by the high speed of mathematical calculations, availability to users with different skill levels and universal applicability to various study objects. The rapid assessment method is intended for screening the living standards of the population and activity quality of the territorial authorities, taking into account a different set of indicators. This article offers the author’s indicator system for assessing the living standards and quality of life of the population. The methodology algorithm describes flowcharts of the index method for combining statistical observations of different dimensions, which make it possible to automate the process of territory ranking. The study covers 12 urban districts and 43 municipal districts of Rostov Oblast. The methodology described in the article will help eliminate a subjective factor while monitoring, rationally distribute financial resources allocated annually by the authorities to support programs for socio-economic development of the territory, increase the economic efficiency and implementation speed of innovative projects that have a direct impact on the living standards and quality of life of the population.
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spelling doaj.art-a2347f1887684538a4799dd41fc2689e2022-12-22T03:37:09ZukrIgor Sikorsky Kyiv Polytechnic InstituteSistemnì Doslìdženâ ta Informacìjnì Tehnologìï1681-60482308-88932021-09-01210.20535/SRIT.2308-8893.2021.2.04Developing an algorithm for rapid assessment of living standards and quality of life of the population in the regionMarina Lesnichaya0Oksana Kolchina1Evgenii Pahomov2Institute of Management in Economic, Environmental and Social Systems of the Southern Federal University, TaganrogInstitute of Management in Economic, Environmental and Social Systems of the Southern Federal University, TaganrogInstitute of Management in Economic, Environmental and Social Systems of the Southern Federal University, Taganrog The article presents the rapid assessment methodology that allows analysts to carry out qualitative monitoring of the living standards of the population using a wide range of methods for statistics processing (factor analysis, cluster analysis, discriminant analysis, method of combining indicators of different dimensions). This methodology is characterized by the high speed of mathematical calculations, availability to users with different skill levels and universal applicability to various study objects. The rapid assessment method is intended for screening the living standards of the population and activity quality of the territorial authorities, taking into account a different set of indicators. This article offers the author’s indicator system for assessing the living standards and quality of life of the population. The methodology algorithm describes flowcharts of the index method for combining statistical observations of different dimensions, which make it possible to automate the process of territory ranking. The study covers 12 urban districts and 43 municipal districts of Rostov Oblast. The methodology described in the article will help eliminate a subjective factor while monitoring, rationally distribute financial resources allocated annually by the authorities to support programs for socio-economic development of the territory, increase the economic efficiency and implementation speed of innovative projects that have a direct impact on the living standards and quality of life of the population. http://journal.iasa.kpi.ua/article/view/239871living standardsvariable reductionclusteringdiscriminant analysisranking
spellingShingle Marina Lesnichaya
Oksana Kolchina
Evgenii Pahomov
Developing an algorithm for rapid assessment of living standards and quality of life of the population in the region
Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï
living standards
variable reduction
clustering
discriminant analysis
ranking
title Developing an algorithm for rapid assessment of living standards and quality of life of the population in the region
title_full Developing an algorithm for rapid assessment of living standards and quality of life of the population in the region
title_fullStr Developing an algorithm for rapid assessment of living standards and quality of life of the population in the region
title_full_unstemmed Developing an algorithm for rapid assessment of living standards and quality of life of the population in the region
title_short Developing an algorithm for rapid assessment of living standards and quality of life of the population in the region
title_sort developing an algorithm for rapid assessment of living standards and quality of life of the population in the region
topic living standards
variable reduction
clustering
discriminant analysis
ranking
url http://journal.iasa.kpi.ua/article/view/239871
work_keys_str_mv AT marinalesnichaya developinganalgorithmforrapidassessmentoflivingstandardsandqualityoflifeofthepopulationintheregion
AT oksanakolchina developinganalgorithmforrapidassessmentoflivingstandardsandqualityoflifeofthepopulationintheregion
AT evgeniipahomov developinganalgorithmforrapidassessmentoflivingstandardsandqualityoflifeofthepopulationintheregion