SOCIOLOGICAL RESEARCH

TITLE

Transformation of Ideas and Meaning of Labor: from the Cult of Labor to the Cult of Consumption (an Experience of Historical and Sociological Analysis). Part I

Zhan T. Toshchenko

000

2.828 MB

Full text

INDEX

RAR (Research Article Report)

JEL J08

https://doi.org/10.52180/1999-9836_2025_21_2_8_274_286

AUTHOR

Zhan T. Toshchenko

The Russian State University for Humanities, Moscow, Russia

Institute of Sociology - 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/0000-0002-7729-3660

SPIN-code: 7025-0028

RSCI AuthorID: 1382

Researcher ID: R-4569-2016

Scopus Author ID: 6507646287

FOR CITATION

Toshchenko Z.T. Transformation of Ideas and Meaning of Labor: from the Cult of Labor to the Cult of Consumption (an Experience of Historical and Sociological Analysis). Part I. Uroven' Zhizni Naseleniya Regionov Rossii=Living Standards of the Population in the Regions of Russia. 2025;21(2):274-286. https://doi.org/10.52180/1999-9836_2025_21_2_8_274_286 (In Russ.)

Abstract

The article reveals the historical aspect of the emergence of the concepts of "work", "labor" for understanding their meaning at various stages of human development. The main attention is paid to the transformation of the state and public recognition of the role of labor in the USSR / Russia in the twentieth century. It is shown how a fundamentally new attitude to labor of people directly involved in the process of its implementation was formed both during the period of creation and formation of a new socialist society, and during the functioning of the mobilization economy, and then in the years of trials - during the Great Patriotic War. The role of the state in changing the attitude to labor is determined, which was reflected in its economic and social policy. The article shows the ways of solving a strategically important task - the formation and formation of the cult of labor, which gradually developed in the Soviet Union. The process of its formation, enrichment and transformation into an effective force for the construction and transformation of a new type of social structure - a socialist society is described and explained. Both positive and problematic situations in the attitude to labor of various social and class groups, as well as ways of resolving emerging contradictions are considered. Particular attention is paid to the analysis of new forms of labor organization in accordance with the needs of each stage in the development of Soviet society, the forms and methods of motivating workers to productive work, the search for creative abilities and their implementation, as well as ways to overcome the contradictions that arise in the process of achieving the goal of creating an industrial power, which was created by 1941, when the Great Patriotic War began and it was necessary to restructure many aspects of the life of society and people, including in the labor sphere.

Keywords

USSR, Russia, labor, culture, economy, employment, working class, peasantry, intelligentsia

Acknowledgments:

the work was supported by the grant of the Russian Science Foundation No. 23-18-00093

AUTHOR'S BIOGRAFY

Zhan T. Toshchenko

Corresponding Member of the Russian Academy of Sciences, Scientific Director of the Sociology Department, Russian State Humanitarian University, Chief Researcher, Institute of Sociology - Branch of the Federal Center of Theoretical and Applied Sociology of the Russian Academy of Sciences

References

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ECONOMIC RESEARCH

TITLE

Ensuring the Quality of Life of the Population in Urban Agglomerations: the Potential of Using Strategic Planning and Standardization Tools

Petr I. Burak, Tatiana I. Zvorykina

000

2.828 MB

Full text

INDEX

RAR (Research Article Report)

JEL R11

https://doi.org/10.52180/1999-9836_2025_21_2_7_259_273

AUTHORS

Petr I. Burak

Institute for Regional Economic Research, Moscow, Russia

Russian Academy of Natural Sciences, Moscow, Russia

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

OCRID: https://orcid.org/0000-0003-0709-2449

SPIN-code: 3025-1463

RSCI AuthorID: 282158

Tatiana I. Zvorykina

Institute for Regional Economic Research, Moscow, Russia

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

OCRID: https://orcid.org/0000-0002-0740-517Х

SPIN-code: 4996-2058

RSCI AuthorID: 326219

FOR CITATION

Burak P.I., Zvorykina T.I. Ensuring the Quality of Life of the Population in Urban Agglomerations: the Potential of Using Strategic Planning and Standardization Tools. Uroven' Zhizni Naseleniya Regionov Rossii=Living Standards of the Population in the Regions of Russia. 2025;21(2):259–273. https://doi.org/10.52180/1999-9836_2025_21_2_7_259_273 (In Russ.)

Abstract

This study examines the methodological and practical aspects of regulatory regulation of the quality of life of the population in urban agglomerations of Russia, which represent a special type of territorial formation that combines the functions of large cities and adjacent rural areas. The aim of the study was to find ways to ensure the quality of life of the population in urban agglomerations based on the potential of using strategic planning and standardization tools. The objectives of the study included solving issues related to the formation of a clear conceptual framework; defining strategies and plans for the development of regulatory regulation of the quality of life of the population of the agglomeration. Based on the analysis of the specifics of urban agglomeration associations, the authors propose a set of measures aimed at stimulating progressive economic development and increasing the quality of life of the population in them. Among the measures outlined to improve the quality of life of the population are a methodological approach to the development of strategic development programs, a model for the sustainable development of an urban agglomeration based on the principles of quality management of territory management, a regulatory regulatory model, and a set of standardization mechanisms and tools. Within the framework of this study, the authors of the article, based on theoretical provisions on standardization, generalization of data from information sources and experience in applying international standards on sustainable development and quality of life, proposed a model of the innovative national standard GOST R "Sustainable development of territories and quality of life. Urban agglomerations. Basic provisions and general requirements". The standard's layout defines the position in terms of terminology used, provides a classification of agglomerations, identifies the functions performed and the organizational structure of participants in the quality-of-life management process, etc. The study of the problem of ensuring the quality of life in urban agglomerations based on the use of strategic planning and standardization tools contributes to the theory and methodology of determining the role and place of urban agglomerations in the management structure of Russian regions.

Keywords

urban agglomeration, strategy, region, model, standardization, sustainable development, quality of life, national standard

AUTHOR'S BIOGRAFY

Perth I. Burak

Doctor of Economics, Professor, Director, Institute of Regional Economic Research; President, Russian Academy of Natural Sciences

Tatiana I. Zvorykina

Doctor of Economics, Professor, Honored Scientist of the Russian Federation, Head of the Center for Scientific Research and Technical Regulation in the Field of Services, Institute of Regional Economic Research

References

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ECONOMIC RESEARCH

TITLE

Structure of Regional Population Qualities: a Classification of Attributes

Natalia P. Neklyudova

000

2.828 MB

Full text

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

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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

000

2.828 MB

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

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