Uncategorised

ECONOMIC RESEARCH

TITLE

Structure of Regional Population Qualities: a Classification of Attributes

Natalia P. Neklyudova

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INDEX

RAR (Research Article Report)

JEL J11, R23

https://doi.org/10.52180/1999-9836_2025_21_2_6_245_258

AUTHOR

Natalia P. Neklyudova

Institute of Economics, Ural Branch of the Russian Academy of Sciences, Ekaterinburg, Russia 

e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

OCRID: https://orcid.org/0000-0002-5026-1394

SPIN-code: 2555-0827

RSCI AuthorID: 623998

ResearcherID: Е-5849-2014

FOR CITATION

Neklyudova N.P. Structure of Regional Population Qualities: a Classification of Attributes. Uroven' Zhizni Naseleniya Regionov Rossii=Living Standards of the Population in the Regions of Russia. 2025;21(2):245-258. https://doi.org/10.52180/1999-9836_2025_21_2_6_245_258 (In Russ.)

Abstract

Structuring the properties of the population is an integral part of analyzing the standard of living. It allows for a shift from abstract indicators to specific measures that take into account the diverse needs of different groups. Without this, neither effective social policy nor the achievement of sustainable development goals is possible. The quality of the population, as an integral category, encompasses numerous characteristics such as age structure, education level, professional qualifications, health, and cultural traits, which determine economic activity and sustainable development of a region. However, there is still no universally accepted classification of population properties, which complicates planning and forecasting. The aim of the article is to develop a classification of population properties in a region that can be used for managing demographic development. The author sets the task of structuring qualitative characteristics of the population to move from abstract indicators to specific measures that consider the diverse needs of various groups. The information sources used in the article include the Russian National Corpus, scientific publications from the eLIBRARY.RU electronic library, and the Google Scholar search engine. The study analyzes scientific approaches to defining the quality of the population, identifying key components such as health, education, cultural values, and demographic behavior. The research methodology involved a two-stage analysis. In the first stage, a linguistic corpus analysis and content analysis of scientific texts were conducted to identify adjectives collocating with the term "population composition" and associated with demographic processes. In the second stage, key facets were extracted using intent analysis, and a classification of population property elements was developed based on a structural-functional approach. The results of the study are presented as a classification that includes physiological, gender, socio-economic, ethnic, cultural, and migration characteristics of the population. The proposed classification enables a more accurate analysis of the demographic situation in a region, forecasting economic activity, and developing targeted social programs. The conclusions of the work emphasize the importance of considering the diversity of population properties for the sustainable development of regions. The developed classification can be used for planning socio-economic policies, improving the quality of life of the population, and ensuring the long-term development of territories.

Keywords

population quality, population composition, population structure, classification of population attributes, demographic development, demographic structure, management of demographic development

AUTHOR'S BIOGRAFY

Natalia P. Neklyudova

PhD in Economics, Senior Researcher, Institute of Economics, Ural Branch Russian Academy of Sciences

References

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Uncategorised

ECONOMIC RESEARCH

TITLE

Using Open Data Online Vacancies in Comparison with Official Statistics to Monitor and Forecast Labor Market Dynamics

Vitalii V. Altukhov, Aleksei D. Kudryavtsev

Размер файла000
 Размер файла  2.828 MB Размер файла Full text

INDEX

RAR (Research Article Report)

JEL J22, J23

https://doi.org/10.52180/1999-9836_2025_21_2_5_233_244

AUTHORS

Vitalii V. Altukhov

Lomonosov Moscow State University, Moscow, Russia

Profilum, Moscow, Russia

e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

OCRID: https://orcid.org/0009-0000-9307-4276

Aleksei D. Kudryavtsev

Lomonosov Moscow State University, Moscow, Russia

Profilum, Moscow, Russia

e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

FOR CITATION

Altukhov V.V., Kudryavtsev A.D. Using Open Data Online Vacancies in Comparison with Official Statistics to Monitor and Forecast Labor Market Dynamics. Uroven' Zhizni Naseleniya Regionov Rossii=Living Standards of the Population in the Regions of Russia. 2025;21(2):233–244. https://doi.org/10.52180/1999-9836_2025_21_2_5_233_244 (In Russ.)

Abstract

Digitalization of labor processes and the growing popularity of online platforms open up new opportunities for monitoring and forecasting labor market dynamics. However, the issues related to the representativeness of online vacancies data, their timeliness and completeness remain unresolved. The scientific interest of the study lies in the development of approaches to the integration of data from online sources with official statistics, which will improve the accuracy of forecasting and promptness of labor market assessment. In traditional labor market analysis, vacancies are used to measure labor market tensions and can signal the presence of imbalances in the labor market, when supply and demand do not match each other (in terms of qualitative characteristics, geographically, etc.). The purpose of the article is to compare the data of online vacancies and official statistics to develop approaches to monitoring and forecasting labor market dynamics. The article gives an example of implementation of labor market monitoring based on big data and comparison of online vacancies data with the sources of official statistics. The main sources of data for comparison were Rosstat and hh.ru (open vacancy data). The author's methodology of aggregation of vacancy data into groups of professional spheres and professions based on official classifiers, as well as methods of calculation and estimation of salary levels were used in the comparison. As a result of the study, it was revealed that the obtained and aggregated data of the online job search portal hh.ru reliably correlates with the official quarterly and monthly statistics on the dynamics of the number of open vacancies and salaries. Finally, we discuss methods of forecasting labor market dynamics using machine learning methods based on open big data. According to the authors, the possibility of correlating the dynamics of the indicators of online portals with official statistics of enterprises could complement the methodology of labor market monitoring and increase the reliability of forecasts.

Keywords

regional labor market, online vacancies, vacancy dynamics, wage, estimation of demand in the labor market, economic sectors, big data

AUTHOR'S BIOGRAFY

Vitalii V. Altukhov

Junior Research Fellow, Laboratory of Social and Economic Research «Technologies for the Development of Human Capital and the Construction of Institutional and Competence-Based Models of Human Development» at the Department of Labor and Personnel Economics, Faculty of Economics, Lomonosov Moscow State University; Director of Development and Research, Profilum

Aleksei D. Kudryavtsev

Junior Research Fellow, Laboratory of Social and Economic Research «Technologies for the Development of Human Capital and the Construction of Institutional and Competence-Based Models of Human Development» at the Department of Labor and Personnel Economics, Faculty of Economics, Lomonosov Moscow State University; Data Scientist, Profilum

References

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Uncategorised

DEMOGRAPHIC RESEARCH

TITLE

Economic Situation of Large Families in Moscow and Moscow Region: a Sociological Study

Elena V. Zemlyanova, Natalia A. Bezverbnaya, Elena K. Zhuravleva

Размер файла000
 Размер файла  2.828 MB Размер файла Full text

INDEX

RAR (Research Article Report)

JEL J11

https://doi.org/10.52180/1999-9836_2025_21_2_4_223_232

AUTHORS

Elena V. Zemlyanova

Institute for Demographic Research - Branch of the Federal Center of Theoretical and Applied Sociology of the Russian Academy of Sciences, Moscow, Russia

e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

OCRID: https://orcid.org/0000-0001-6231-1611

SPIN-code: 3444–9754

RSCI AuthorID: 167570

ReseacherID: AAA-4170-2021

Natalia A. Bezverbnaya

Independent Researcher

e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

OCRID: https://orcid.org/0000-0001-6617-8723

SPIN-code: 6590–8965

RSCI AuthorID: 926075

ReseacherID: AAT-5201-2020

Elena K. Zhuravleva

National Parents Association, Moscow, Russia

Institute of Socio-Economic Studies of Population named after N.M. Rimashevskaya - Branch of the Federal Center of Theoretical and Applied Sociology of the Russian Academy of Sciences, Moscow, Russia

e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

OCRID: https://orcid.org/0000-0002-5525-0459

SPIN-code: 5567-2429

RSCI AuthorID: 880103

FOR CITATION

Zemlyanova E.V., Bezverbnaya N.A., Zhuravleva E.K. Economic Situation of Large Families in Moscow and Moscow Region: a Sociological Study. Uroven' Zhizni Naseleniya Regionov Rossii=Living Standards of the Population in the Regions of Russia. 2025;21(2):223–232. https://doi.org/10.52180/1999-9836_2025_21_2_4_223_232 (In Russ.)

Abstract

The article presents the results of a sociological study conducted in 2024 among large families in Moscow and Moscow region. The sample amounted to 253 respondents. The purpose of the study is to examine the economic situation of large families, their reproductive plans and factors influencing the decision to have children. The research material consisted of 253 questionnaires filled out by parents with many children who had at least one minor child under the age of 18 in their family at the time of the survey. The respondents' responses statistically processed for analysis. A content analysis of national and foreign publications on the research topic also conducted. Out of more than 50 publications, 15 of the most relevant to the subject of the study selected. The data analysis showed that the majority of respondents have three children, and the desired number of children in the family, given the necessary conditions, is five. However, the real plans of most families are limited to three children. The main obstacles to having more children are economic factors such as material difficulties, high credit burden, housing problems and uncertainty about the future. The survey also showed that additional measures of state support for families with children had little impact on respondents' decision to have a younger child. More than half of the respondents do not plan to have more children, and the birth of a younger child did not contribute to improving the family's standard of living, solving housing problems or receiving significant material assistance from the state. The results of the study emphasize the need to develop and implement effective measures of state support for large families aimed at improving their economic situation and creating favorable conditions for the implementation of reproductive plans (such as targeted social payments, housing and education benefits). Also authors believe that it’s important to overcome stereotypes in society and the media related to the material well-being of large families in Russia.).

Keywords

large families, economic situation, average number of children, reproductive plans, measures of state support, sociological research, Moscow and the Moscow region

AUTHOR'S BIOGRAFY

Elena V. Zemlyanova

PhD in Economics, Leading Researcher, Institute for Demographic Research - Branch of the Federal Center of Theoretical and Applied Sociology of the Russian Academy of Sciences

Natalia A. Bezverbnaya

PhD in Sociology, Independent Researcher

Elena K. Zhuravleva

Expert, National Parents Association; Junior Researcher, Institute of Socio-Economic Studies of Population named after N.M. Rimashevskaya - Branch of the Federal Center of Theoretical and Applied Sociology of the Russian Academy of Sciences

References

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Uncategorised

DEMOGRAPHIC RESEARCH

TITLE

Demographic Development of Russia's Regions: Progress towards Achieving National Goals

Konstantin A. Chernyshev

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INDEX

RAR (Research Article Report)

JEL J10, R23

https://doi.org/10.52180/1999-9836_2025_21_2_3_212_222

AUTHOR

Konstantin A. Chernyshev

Institute for Demographic Research – Branch of the Federal Center of Theoretical and Applied Sociology of the Russian Academy of Sciences, Moscow, Russia

e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

OCRID: https://orcid.org/0000-0003-3543-4776

SPIN-code: 4782-5602

RSCI AuthorID: 623010

FOR CITATION

Chernyshev K.A. Demographic Development of Russia's Regions: Progress towards Achieving National Goals. Uroven' Zhizni Naseleniya Regionov Rossii=Living Standards of the Population in the Regions of Russia. 2025;21(2):212–222. https://doi.org/10.52180/1999-9836_2025_21_2_3_212_222 (In Russ.)

Abstract

The article is devoted to the study of the demographic development of the constituent entities of the Russian Federation. The aim of the study is to improve scientific approaches to assessing regional demographic development, and the objectives of the study include determining the criteria for demographic development with the subsequent identification of prosperous and problematic regions of the Russian Federation. The theoretical and methodological basis of the study were scientific approaches to assessing the demographic well-being of the regions of Russia. Demographic development is measured using indicators included in the assessment of the effectiveness of the activities of senior officials and executive bodies of the constituent entities of the Russian Federation. Their list is proposed to be supplemented by the inclusion of migration indicators in order to reflect the key processes affecting population change: birth rate, mortality, migration. The threshold values that separate problematic regions are used target indicators planned in official documents of the Government of the Russian Federation, as well as their dynamics for 2018-2023. It was revealed that all regions meet some criteria of problematic demographic development. The demographic indicators of ten regions of the Russian Federation are below the threshold values for all proposed criteria – these are Amur, Kirov, Kostroma, Lipetsk, Murmansk, Omsk, Orenburg, Penza regions, Primorsky Krai and the Komi Republic. The group of problematic regions is characterized by stable depopulation, a combination of natural decline and migration outflow, negative dynamics of birth rates and a decrease in life expectancy. Relatively prosperous regions include Moscow and Adygea, Khanty-Mansiysk and Yamalo-Nenets Autonomous Okrugs. It is concluded that in the context of depopulation, it is necessary to develop scientifically based approaches to assessing demographic development and typology of regions for the implementation of effective demographic policy.

Keywords

demographic development, regions of Russia, demographic well-being, depopulation, fertility, life expectancy, migration

AUTHOR'S BIOGRAFY

Konstantin A. Chernyshev

PhD in Geography, Leading Researcher, the Institute for Demographic Research – Branch of the Federal Center of Theoretical and Applied Sociology of the RAS

References

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Uncategorised

DEMOGRAPHIC RESEARCH

TITLE

Disproportions of Demographic Development of Russia at the Regional Level: Current Trends

Vadim A. Bezverbnyi

Размер файла000
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INDEX

RAR (Research Article Report)

JEL J11

https://doi.org/10.52180/1999-9836_2025_21_2_2_197_211

AUTHOR

Vadim A. Bezverbnyi

Institute for Demographic Research - Branch of the Federal Center of Theoretical and Applied Sociology of the Russian Academy of Sciences, Moscow, Russia

e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

OCRID: https://orcid.org/0000-0002-3148-7072

SPIN-code: 5758-6360

RSCI AuthorID: 539479

ResearcherID: O-1050-2016

Scopus Author ID: 57210845020

FOR CITATION

Bezverbnyi V.A. Disproportions of Demographic Development of Russia at the Regional Level: Current Trends. Uroven' Zhizni Naseleniya Regionov Rossii=Living Standards of the Population in the Regions of Russia. 2025;21(2):197–211. https://doi.org/10.52180/1999-9836_2025_21_2_2_197_211 (In Russ.)

Abstract

The article is devoted to the study of spatial polarisation of demographic development of Russian regions in the period from 1994 to 2024. Based on the analysis of statistical data, including the results of All-Russian population censuses and current records of Rosstat, the key trends determining the differences in the demographic situation at the regional level are identified. The main attention is paid to population dynamics, migration processes, fertility and life expectancy indicators. The results of the study indicate a significant spatial differentiation of demographic processes. Large agglomerations, such as Moscow and St. Petersburg, demonstrate steady population growth due to migration inflow, while the regions of the Far East, Siberia and the North face steady depopulation caused by migration outflow and natural population decline. The analysis of the total fertility rate (TFR) showed that only two regions (the Chechen Republic and the Republic of Tyva) corresponded to the expanded type of population reproduction in 2024, while most regions of the central and western parts of the country are characterised by extremely low birth rates. Special attention is paid to life expectancy, which also demonstrates significant regional differentiation. The lowest values are recorded in the northern and eastern regions. The highest values are observed in the southern regions and large cities. Based on the analysis of natural and migration growth rates, four groups of regions were identified. In conclusion, the authors propose recommendations for demographic policy aimed at reducing spatial disproportions and ensuring sustainable demographic growth.

Keywords

demographic development, spatial polarization, regional differentiation, migration processes, natural population movement, fertility and mortality, life expectancy, depopulation, demographic policy

AUTHOR'S BIOGRAFY

Vadim A. Bezverbnyi

PhD in Economics, Head of the Department of Geo-Urban Studies and Spatial Demography, Leading Researcher, Institute for Demographic Research - Branch of the Federal Center of Theoretical and Applied Sociology of the Russian Academy of Sciences

References

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