51 research outputs found
The use of econometric models in the study of demographic policy measures (based on the example of fertility stimulation in Russia)
Russia is experiencing steady population decline. One of the reasons for this is low fertility. The other major problem is insufficient housing availability. In today's political discussion, these two problems are often presented as interconnected. The aim of our research is to analyse the relationship between fertility dynamics and provision of housing in Russia in order to subsequently assess the effectiveness of the most expensive measure for stimulating fertility in the state's history - the so-called "maternity capital". We estimated regression models for the time series of fertility rates and the availability of housing. To assess the strength of relationship between the time series, we analysed correlation between regressions' residuals in two models.A retrospective analysis of the time series showed no correlation between the two in a historical context. Throughout the time that the maternity capital was in place the correlation analysis also revealed no relationship between them. Our analysis showed that these variables were not significantly correlated either in urban or rural Russian areas. We can conclude that the introduction of maternity capital in Russia was not underpinned by profound statistical and demographic analysis. Our results also give reason to question the effectiveness of maternity capital. Β© ECMS Zita Zoltay Paprika, PΓ©ter HorΓ‘k, Kata VΓ‘radi,PΓ©ter TamΓ‘s Zwierczyk, Γgnes Vidovics-Dancs, JΓ‘nos PΓ©ter RΓ‘dics (Editors)
ΠΠ΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ Π£ΡΠ°Π»ΡΡΠΊΠΎΠ³ΠΎ ΡΠ΅Π³ΠΈΠΎΠ½Π°: ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠΎΠΆΠ΄Π°Π΅ΠΌΠΎΡΡΠΈ
The article presents the results of statistical and econometric survey on fertility in the Sverdlovsk region. Based on the analysis of fertility time series it is concluded that Ural federal district as a whole and the Sverdlovsk region in particular have an increased demographic potential. The method of structural decomposition of the time series of monthly fertility gave an opportunity to estimate trend, seasonal and irregular components in its dynamics and to identify the features of reproductive behavior of the population in the Sverdlovsk region.ΠΠ²ΡΠΎΡΠΎΠΌ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈ ΡΠΊΠΎΠ½ΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠΎΠΆΠ΄Π°Π΅ΠΌΠΎΡΡΠΈ Π² Π‘Π²Π΅ΡΠ΄Π»ΠΎΠ²ΡΠΊΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ. ΠΠ° ΠΎΡΠ½ΠΎΠ²Π΅ Π°Π½Π°Π»ΠΈΠ·Π° Π²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΡΡΠ΄ΠΎΠ² ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΡΠΎΠΆΠ΄Π°Π΅ΠΌΠΎΡΡΠΈ ΡΠ΄Π΅Π»Π°Π½ Π²ΡΠ²ΠΎΠ΄ ΠΎ ΠΏΠΎΠ²ΡΡΠ΅Π½Π½ΠΎΠΌ Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΌ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»Π΅ Π£ΡΠ°Π»ΡΡΠΊΠΎΠ³ΠΎ ΡΠ΅Π³ΠΈΠΎΠ½Π° Π² ΡΠ΅Π»ΠΎΠΌ, ΠΈ Π‘Π²Π΅ΡΠ΄Π»ΠΎΠ²ΡΠΊΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ Π² ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ. Π‘ΡΡΡΠΊΡΡΡΠ½Π°Ρ Π΄Π΅ΠΊΠΎΠΌΠΏΠΎΠ·ΠΈΡΠΈΡ Π²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠ³ΠΎ ΡΡΠ΄Π° ΠΏΠΎΠΌΠ΅ΡΡΡΠ½ΠΎΠΉ ΡΠΎΠΆΠ΄Π°Π΅ΠΌΠΎΡΡΠΈ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»Π° ΠΎΡΠ΅Π½ΠΈΡΡ ΡΡΠ΅Π½Π΄ΠΎΠ²ΡΡ, ΡΠ΅Π·ΠΎΠ½Π½ΡΡ ΠΈ ΡΠ»ΡΡΠ°ΠΉΠ½ΡΡ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΡ Π² Π΅Π΅ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠ΅, Π²ΡΡΠ²ΠΈΡΡ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΡΠ΅ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ Π² Π‘Π²Π΅ΡΠ΄Π»ΠΎΠ²ΡΠΊΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ
Russian Business and Fertility Support: Successful Corporate Practices
The negative demographic trends recently observed in Russia necessitate the search for new tools for solving demographic problems. Active involvement of business in solving these problems can be considered as such a tool. The purpose of the paper is to study corporate practices and features of the participation of Russian businesses in supporting the reproductive health of employees and fertility in their families. The programmes obtained from the library of corporate practices of the Russian Union of Industrialists and Entrepreneurs for 2009-2021 were used as a source of information. The case study method was applied. The article shows the most successful corporate practices in supporting the reproductive health and fertility in the families of employees, shows the possibilities for enhancing the participation of business in solving the demographic problems of the country. The study also identifies areas for further research: development of mechanisms for evaluating the effectiveness of corporate business practices in the field of fertility support, identifying the most effective tools for such support and transferring positive experience. The obtained results show new guidelines for the formation of the state demographic policy aimed at solving the problems of low birth rates.ΠΠ΅Π³Π°ΡΠΈΠ²Π½ΡΠ΅ Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΠΈ ΠΏΠΎΡΠ»Π΅Π΄Π½ΠΈΡ
Π»Π΅Ρ Π² Π ΠΎΡΡΠΈΠΈ ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»ΠΈΠ²Π°ΡΡ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΡ ΠΏΠΎΠΈΡΠΊΠ° Π½ΠΎΠ²ΡΡ
ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠΎΠ² ΡΠ΅ΡΠ΅Π½ΠΈΡ Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠΎΠ±Π»Π΅ΠΌ. Π ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΡΠ°ΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ° ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΡΡΡ Π°ΠΊΡΠΈΠ²Π½ΠΎΠ΅ Π²ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅ Π±ΠΈΠ·Π½Π΅ΡΠ° Π² ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ ΡΡΠΈΡ
ΠΏΡΠΎΠ±Π»Π΅ΠΌ. Π¦Π΅Π»ΡΡ ΡΡΠ°ΡΡΠΈ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΊΠΎΡΠΏΠΎΡΠ°ΡΠΈΠ²Π½ΡΡ
ΠΏΡΠ°ΠΊΡΠΈΠΊ ΠΈ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠ΅ΠΉ ΡΡΠ°ΡΡΠΈΡ ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠ³ΠΎ Π±ΠΈΠ·Π½Π΅ΡΠ° Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠ΅ ΡΠ΅ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ Π·Π΄ΠΎΡΠΎΠ²ΡΡ ΡΠΎΡΡΡΠ΄Π½ΠΈΠΊΠΎΠ² ΠΈ ΡΠΎΠΆΠ΄Π°Π΅ΠΌΠΎΡΡΠΈ Π² ΠΈΡ
ΡΠ΅ΠΌΡΡΡ
. Π ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠ° ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΠΈΡΡ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΡ Π±ΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊΠΈ ΠΊΠΎΡΠΏΠΎΡΠ°ΡΠΈΠ²Π½ΡΡ
ΡΠΎΡΠΈΠ°Π»ΡΠ½ΡΡ
ΠΏΡΠ°ΠΊΡΠΈΠΊ Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠ³ΠΎ ΡΠΎΡΠ·Π° ΠΏΡΠΎΠΌΡΡΠ»Π΅Π½Π½ΠΈΠΊΠΎΠ² ΠΈ ΠΏΡΠ΅Π΄ΠΏΡΠΈΠ½ΠΈΠΌΠ°ΡΠ΅Π»Π΅ΠΉ Π·Π° 2009β2021 Π³Π³. ΠΡΠΈΠΌΠ΅Π½ΡΠ»ΡΡ ΠΌΠ΅ΡΠΎΠ΄ ΠΊΠ΅ΠΉΡ-ΡΡΠ°Π΄ΠΈ. Π ΡΡΠ°ΡΡΠ΅ ΠΏΠΎΠΊΠ°Π·Π°Π½Ρ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΡΡΠΏΠ΅ΡΠ½ΡΠ΅ ΠΊΠΎΡΠΏΠΎΡΠ°ΡΠΈΠ²Π½ΡΠ΅ ΠΏΡΠ°ΠΊΡΠΈΠΊΠΈ Π² ΡΡΠ΅ΡΠ΅ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠΈ ΡΠ΅ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ Π·Π΄ΠΎΡΠΎΠ²ΡΡ ΠΈ ΡΠΎΠΆΠ΄Π°Π΅ΠΌΠΎΡΡΠΈ Π² ΡΠ΅ΠΌΡΡΡ
ΡΠΎΡΡΡΠ΄Π½ΠΈΠΊΠΎΠ², ΠΏΠΎΠΊΠ°Π·Π°Π½Ρ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ Π°ΠΊΡΠΈΠ²ΠΈΠ·Π°ΡΠΈΠΈ ΡΡΠ°ΡΡΠΈΡ Π±ΠΈΠ·Π½Π΅ΡΠ° Π² ΡΠ΅ΡΠ΅Π½ΠΈΠΈ Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠΎΠ±Π»Π΅ΠΌ ΡΡΡΠ°Π½Ρ, ΠΎΠ±ΠΎΠ·Π½Π°ΡΠ΅Π½Ρ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Π² ΡΡΠΎΠΉ ΡΡΠ΅ΡΠ΅ (ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ° ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠ² ΠΎΡΠ΅Π½ΠΊΠΈ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ ΠΊΠΎΡΠΏΠΎΡΠ°ΡΠΈΠ²Π½ΡΡ
ΠΏΡΠ°ΠΊΡΠΈΠΊ Π±ΠΈΠ·Π½Π΅ΡΠ° Π² ΡΡΠ΅ΡΠ΅ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠΈ ΡΠΎΠΆΠ΄Π°Π΅ΠΌΠΎΡΡΠΈ, Π²ΡΡΠ²Π»Π΅Π½ΠΈΠ΅ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΡΡ
ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠΎΠ² ΡΠ°ΠΊΠΎΠΉ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠΈ ΠΈ ΡΡΠ°Π½ΡΠ»ΡΡΠΈΠΈ ΠΏΠΎΠ·ΠΈΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΎΠΏΡΡΠ°). ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΏΠΎΠΊΠ°Π·ΡΠ²Π°ΡΡ Π½ΠΎΠ²ΡΠ΅ ΠΎΡΠΈΠ΅Π½ΡΠΈΡΡ Π΄Π»Ρ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠΉ Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΠΎΠ»ΠΈΡΠΈΠΊΠΈ, Π½Π°ΡΠ΅Π»Π΅Π½Π½ΠΎΠΉ Π½Π° ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ ΠΏΡΠΎΠ±Π»Π΅ΠΌ Π½ΠΈΠ·ΠΊΠΎΠΉ ΡΠΎΠΆΠ΄Π°Π΅ΠΌΠΎΡΡΠΈ.ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΎ Π² ΡΠ°ΠΌΠΊΠ°Ρ
ΠΏΡΠΎΠ΅ΠΊΡΠ° Β«ΠΠ½ΡΡΠΈΡΡΡΡ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠΈ ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ ΠΏΡΠΎΠ½Π°ΡΠ°Π»ΠΈΡΡΡΠΊΠΎΠΉ ΠΏΠΎΠ»ΠΈΡΠΈΠΊΠΈ: ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π» ΠΈ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Ρ Π²Π»ΠΈΡΠ½ΠΈΡ Π½Π° ΡΠΎΡΡ ΡΠΎΠΆΠ΄Π°Π΅ΠΌΠΎΡΡΠΈΒ», ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠ°Π½Π½ΠΎΠ³ΠΎ Π‘ΠΎΠ²Π΅ΡΠΎΠΌ ΠΏΠΎ Π³ΡΠ°Π½ΡΠ°ΠΌ ΠΡΠ΅Π·ΠΈΠ΄Π΅Π½ΡΠ° Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈ Π½Π° Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΡΡ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ Π²Π΅Π΄ΡΡΠΈΡ
Π½Π°ΡΡΠ½ΡΡ
ΡΠΊΠΎΠ» Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈ (ΠΠ¨-1327.2022.2)
Parental labor in the Republic of Tuva in the context of the regional cluster structure of Russia's demographic space (1990-2019)
Despite the overall positive dynamics of demographic processes related to the natural reproduction of the population in the Republic of Tuva, the region currently experiences a fairly negative state of several spheres of human capital functioning and development. This may indicate a problematic state of the sphere of parental labor in the region. The article presents the results of identifying the place of the Republic of Tuva in the cluster structures of Russian regions. These structures were formed by the parameters of parental labor during the period from 1990 to 2019. The authors assess the place of the Republic of Tuva in the cluster space of Russian regions according to indicators that demonstrate the conditions, organization and results of parental labor. The research is based on an interdisciplinary concept of parental labor, which implies the labor character of parenthood and its compliance with all the features of work activity. The sources of the study are the data of the Federal State Statistics Service and the data of federal statistical observations on socio-demographic issues. Two key features of the position of the Republic of Tuva in the regional cluster structure have been identified. The first one is that Tuva either does not fit into the structure of the formed regional cluster space and is not included in any of the identified clusters, or it is geometrically located at a very far distance from the center of the cluster to which it is assigned. The second feature is that the profile of Tuva as part of the entire cluster is in most cases characterized by polarity and extreme ambiguity. Β© 2023 New Reaearch of Tuva. All rights reserved.SSβ1327.2022.2The research was conducted as part of the project βRussian Pro-Natalist Policy Support Institutions: Potential and Prospects for Influencing Birth Rate Growthβ supported by the Council for Grants of the President of the Russian Federation for State Support to Leading Scientific Schools of the Russian Federation (SSβ1327.2022.2)
Fertility in the Ural federal district: modeling and evaluation of the dynamics prospects
The article presents the results of the statistical analysis and econometric modeling of fertility dynamics in the Urals Federal District. The relevance of the study is determined by the instability of demographic processes in Russia, their noticeable regional specificity, and negative forecasts of the population replacement. The purpose of the study is to analyze the current situation and identify the prospects of the fertility dynamics in different regions of the Urals Federal District using econometric modeling. To conduct the study, we used the data of the Federal State Statistics Service. We analyzed the absolute and relative indicators of fertility. Time series from 1990 to 2014 were examined. To estimate the trends in birth rates dynamics we applied descriptive statistics, regression analysis of the time series data (analytical smoothing method) and correlation analysis of the time seriesβ irregular components based on Spearmanβs rank correlation coefficient. By using the designated methods and techniques we obtained the substantial and coherent results, namely, we described the dynamics of the birth rates and assessed the prospects of demographic trends in different regions of the Urals Federal District. The study also made it possible to draw a conclusion about the necessity of a differentiated approach to the development of effective measures to promote and support fertility. Such an approach should be based on a regional perspective. An effective way to implement this is by taking into consideration the difference not only in the current values of birth rates, but also in the character of their dynamics. The study revealed that the modeling of the reproduction processes by using regression analysis can be considered as a relevant and valid approach to evaluate the population replacement. Such simulations can act as an information and analytical basis for sound management decisions and the development of effective programs aimed at improving the demographic situation in the region.Π ΡΡΠ°ΡΡΠ΅ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΠΈ ΡΠΊΠΎΠ½ΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΎΠΆΠ΄Π°Π΅ΠΌΠΎΡΡΠΈ Π² ΠΎΠ±Π»Π°ΡΡΡΡ
Π£ΡΠ°Π»ΡΡΠΊΠΎΠ³ΠΎ ΡΠ΅Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΎΠΊΡΡΠ³Π°. ΠΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Π½ΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ΅ΡΡΡ Π½Π΅ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΡΡΡΡ Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ Π ΠΎΡΡΠΈΠΈ, Π΅Π΅ ΡΡΠΊΠΎ Π²ΡΡΠ°ΠΆΠ΅Π½Π½ΠΎΠΉ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΡΠΏΠ΅ΡΠΈΡΠΈΠΊΠΎΠΉ, Π° ΡΠ°ΠΊΠΆΠ΅ Π½Π΅Π³Π°ΡΠΈΠ²Π½ΡΠΌΠΈ ΠΏΡΠΎΠ³Π½ΠΎΠ·Π°ΠΌΠΈ Π²ΠΎΡΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ. Π¦Π΅Π»ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²Π»ΡΠ΅ΡΡΡ Π°Π½Π°Π»ΠΈΠ· ΡΡΡΠ΅ΡΡΠ²ΡΡΡΠ΅Π³ΠΎ ΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ΠΈΡ ΠΈ Π²ΡΡΠ²Π»Π΅Π½ΠΈΠ΅ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ² Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΎΠ±Π»Π°ΡΡΠ΅ΠΉ Π£ΡΠ€Π ΠΏΠΎΡΡΠ΅Π΄ΡΡΠ²ΠΎΠΌ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΎΠΆΠ΄Π°Π΅ΠΌΠΎΡΡΠΈ ΡΠΊΠΎΠ½ΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΈΠΌ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°ΡΠΈΠ΅ΠΌ. ΠΠ»Ρ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΠΈΡΡ Π΄Π°Π½Π½ΡΠ΅ Π€Π΅Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎΠΉ ΡΠ»ΡΠΆΠ±Ρ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ ΠΎΠ± Π°Π±ΡΠΎΠ»ΡΡΠ½ΡΡ
ΠΈ ΠΎΡΠ½ΠΎΡΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΡΡ
ΡΠΎΠΆΠ΄Π°Π΅ΠΌΠΎΡΡΠΈ Π² ΠΎΠ±Π»Π°ΡΡΡΡ
Π£ΡΠ€Π. ΠΡΠ»ΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Ρ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΡΠ΄Ρ Π·Π° ΠΏΠ΅ΡΠΈΠΎΠ΄ Ρ 1990 ΠΏΠΎ 2014 Π³. ΠΠ»Ρ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΡΠ΅Π½Π΄Π° Π² Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠ΅ ΡΠΎΠΆΠ΄Π°Π΅ΠΌΠΎΡΡΠΈ ΠΏΡΠΈΠΌΠ΅Π½ΡΠ»ΠΈΡΡ ΠΌΠ΅ΡΠΎΠ΄Ρ ΠΎΠΏΠΈΡΠ°ΡΠ΅Π»ΡΠ½ΠΎΠΉ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ, ΡΠ΅Π³ΡΠ΅ΡΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΡΡΠ΄ΠΎΠ² Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ (ΠΌΠ΅ΡΠΎΠ΄ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π²ΡΡΠ°Π²Π½ΠΈΠ²Π°Π½ΠΈΡ), ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° Π½Π΅ΡΠ΅Π³ΡΠ»ΡΡΠ½ΡΡ
ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ Π²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΡΡΠ΄ΠΎΠ² Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΠ° ΡΠ°Π½Π³ΠΎΠ²ΠΎΠΉ ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΠΈ Π‘ΠΏΠΈΡΠΌΠ΅Π½Π°. ΠΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΠΎΠ±ΠΎΠ·Π½Π°ΡΠ΅Π½Π½ΡΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΈ ΡΠ΅Ρ
Π½ΠΈΠΊ Π°Π½Π°Π»ΠΈΠ·Π° ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΎ ΠΏΠΎΠ»ΡΡΠΈΡΡ Π·Π½Π°ΡΠΈΠΌΡΠ΅ ΠΈ Π½Π΅ΠΏΡΠΎΡΠΈΠ²ΠΎΡΠ΅ΡΠΈΠ²ΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ - ΠΎΡ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΠΎΠ²Π°ΡΡ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΡ ΡΠΎΠΆΠ΄Π°Π΅ΠΌΠΎΡΡΠΈ Π² ΠΎΠ±Π»Π°ΡΡΡΡ
Π£ΡΠ°Π»ΡΡΠΊΠΎΠ³ΠΎ ΡΠ΅Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΎΠΊΡΡΠ³Π°, ΠΎΡΠ΅Π½ΠΈΡΡ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Ρ ΡΠ°Π·Π²ΠΈΡΠΈΡ Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΠ΅Π½Π΄ΠΎΠ². ΠΡΠΎΠ²Π΅Π΄Π΅Π½Π½ΠΎΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠ°ΠΊΠΆΠ΅ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΎ ΡΠ΄Π΅Π»Π°ΡΡ Π²ΡΠ²ΠΎΠ΄ ΠΎ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΠΈ Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Π° ΠΊ Π²ΡΡΠ°Π±ΠΎΡΠΊΠ΅ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΡΡ
ΠΌΠ΅Ρ ΡΡΠΈΠΌΡΠ»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠΈ ΡΠΎΠΆΠ΄Π°Π΅ΠΌΠΎΡΡΠΈ. Π’Π°ΠΊΠΎΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ Π΄ΠΎΠ»ΠΆΠ΅Π½ ΠΎΡΠ½ΠΎΠ²ΡΠ²Π°ΡΡΡΡ Π½Π° ΡΡΠ΅ΡΠ΅ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΡΠΏΠ΅ΡΠΈΡΠΈΠΊΠΈ. ΠΡΠΈ ΡΡΠΎΠΌ ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠ²Π½ΡΠΌ ΡΠ²Π»ΡΠ΅ΡΡΡ ΡΡΠ΅Ρ Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΠ°ΡΠΈΠΈ Π½Π΅ ΡΠΎΠ»ΡΠΊΠΎ ΡΡΠ°ΡΠΈΠΎΠ½Π°ΡΠ½ΡΡ
Π·Π½Π°ΡΠ΅Π½ΠΈΠΉ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΡΠΎΠΆΠ΄Π°Π΅ΠΌΠΎΡΡΠΈ, Π½ΠΎ ΠΈ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠ° ΠΈΡ
Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ. ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΎ, ΡΡΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ Π²ΠΎΡΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π΅Π½Π½ΡΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² ΠΌΠ΅ΡΠΎΠ΄Π°ΠΌΠΈ ΡΠ΅Π³ΡΠ΅ΡΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΠΌΠΎΠΆΠ΅Ρ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°ΡΡΡΡ Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΡΠ΅Π»Π΅Π²Π°Π½ΡΠ½ΠΎΠ³ΠΎ ΠΈ Π½Π°ΡΡΠ½ΠΎ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Π° ΠΊ ΠΈΠ·ΡΡΠ΅Π½ΠΈΡ Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ². Π’Π°ΠΊΠΎΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΌΠΎΠΆΠ΅Ρ Π²ΡΡΡΡΠΏΠ°ΡΡ Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎ-Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π±Π°Π·Ρ Π΄Π»Ρ Π²ΡΡΠ°Π±ΠΎΡΠΊΠΈ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΡΡ
ΡΠΏΡΠ°Π²Π»Π΅Π½ΡΠ΅ΡΠΊΠΈΡ
ΡΠ΅ΡΠ΅Π½ΠΈΠΉ ΠΈ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΡΡ
ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌ, Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½Π½ΡΡ
Π½Π° ΡΠ»ΡΡΡΠ΅Π½ΠΈΠ΅ Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΈΡΡΠ°ΡΠΈΠΈ Π² ΡΠ΅Π³ΠΈΠΎΠ½Π΅
Sverdlovsk Oblast: Sustainable Development and Demographic Trends
Π ΡΡΠ»ΠΎΠ²ΠΈΡΡ
Π½Π΅Π³Π°ΡΠΈΠ²Π½ΡΡ
Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΠ΅Π½Π΄ΠΎΠ², ΠΏΠΎ-ΡΠ°Π·Π½ΠΎΠΌΡ ΠΏΡΠΎΡΠ²Π»ΡΡΡΠΈΡ
ΡΡ Π² ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΡΠ±ΡΠ΅ΠΊΡΠ°Ρ
Π Π€, ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΡΡΡ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΡΠ°Π½ΠΎΠ²ΠΈΡΡΡ Π²ΡΠ΅ Π±ΠΎΠ»Π΅Π΅ ΠΎΠ±ΡΡΠΆΠ΄Π°Π΅ΠΌΠΎΠΉ ΡΠ΅ΠΌΠΎΠΉ Π² ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠΌ Π½Π°ΡΡΠ½ΠΎ-ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΡΠΊΠΎΠΌ Π΄ΠΈΡΠΊΡΡΡΠ΅. Π¦Π΅Π»ΡΡ ΡΡΠ°ΡΡΠΈ ΡΠ²Π»ΡΠ΅ΡΡΡ Π°Π½Π°Π»ΠΈΠ· ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΈΡ ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΠΉ Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ Π‘Π²Π΅ΡΠ΄Π»ΠΎΠ²ΡΠΊΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ ΠΈ ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΡΡΠΈ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½Π°. ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΠΈΡΡ Π΄Π°Π½Π½ΡΠ΅ ΠΎΡΠΈΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ ΠΈ ΡΡΠ½ΠΊΠΈΠ½Π³ΠΈ ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΠ³ΠΎ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ, ΡΠ°ΡΡΡΠΈΡΡΠ²Π°Π΅ΠΌΡΠ΅ Π²Π΅Π΄ΡΡΠΈΠΌΠΈ ΡΠΎΡΡΠΈΠΉΡΠΊΠΈΠΌΠΈ ΡΠ΅ΠΉΡΠΈΠ½Π³ΠΎΠ²ΡΠΌΠΈ Π°Π³Π΅Π½ΡΡΡΠ²Π°ΠΌΠΈ ΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΡΠΊΠΈΠΌΠΈ ΡΠ΅Π½ΡΡΠ°ΠΌΠΈ. ΠΡΠΎΠ²Π΅Π΄Π΅Π½Π½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ» Π²ΡΡΠ²ΠΈΡΡ ΡΡΠ΄ Π±ΠΎΠ»Π΅Π²ΡΡ
ΡΠΎΡΠ΅ΠΊ ΡΠ°ΠΊΠΈΡ
ΡΡΠ½ΠΊΠΈΠ½Π³ΠΎΠ²: ΠΎΠ½ΠΈ Π΄Π°ΡΡ ΠΎΡΠ΅Π½Ρ ΡΠ°Π·Π»ΠΈΡΠ°ΡΡΠΈΠ΅ΡΡ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΡΡΠΈ Π‘Π²Π΅ΡΠ΄Π»ΠΎΠ²ΡΠΊΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ, ΡΠ°ΠΊΠΈΠ΅ ΠΎΡΠ΅Π½ΠΊΠΈ Π½Π΅ ΡΠΎΠΎΡΠ½ΠΎΡΡΡΡΡ Ρ Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΡΡΠ΅Π½Π΄Π°ΠΌΠΈ ΠΈ ΠΏΡΠΎΠ³Π½ΠΎΠ·Π°ΠΌΠΈ. Π ΡΡΠ°ΡΡΠ΅ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠΎΠ²Π΅ΡΡΠ΅Π½ΡΡΠ²ΠΎΠ²Π°Π½ΠΈΡ ΠΌΠ΅ΡΠΎΠ΄ΠΈΡΠ΅ΡΠΊΠΈΡ
, ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΡΡ
ΠΎΡΠ½ΠΎΠ² ΡΠΎΡΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΡΠ½ΠΊΠΈΠ½Π³ΠΎΠ² ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ. Π‘Π΄Π΅Π»Π°Π½ Π²ΡΠ²ΠΎΠ΄ ΠΎ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΠΈ ΠΏΠ΅ΡΠ΅ΡΠΌΠΎΡΡΠ° ΠΊΠΎΠ½ΡΠ΅ΠΏΡΠΈΠΈ ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΈ ΡΠ΅Π»Π΅ΠΉ ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ, ΡΡΠΎΡΠΌΡΠ»ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΠΠΠ, Ρ ΡΡΠ΅ΡΠΎΠΌ Π½Π°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΡΡΡΠ°ΡΠ΅Π³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ΅Π»Π΅ΠΉ ΠΈ Π·Π°Π΄Π°Ρ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΡΡΠ°Π½Ρ.Considering different negative demographic trends occurring in various Russian regions, the issue of sustainable regional development is increasingly discussed in Russian research discourse. The article examines the correlation between demographic development trends in Sverdlovsk Oblast and sustainability of regional development. Official statistics and sustainable development rankings of regions presented by leading Russian rating agencies and research centres were analysed. The analysis revealed a number of ΠΒ«pain pointsΠΒ» of such rankings: they give very different assessments of Sverdlovsk oblasts sustainability; such assessments do not correlate with demographic trends and forecasts. The article presents directions for improving the methodological and instrumental foundations for compiling sustainable development rankings. Accordingly, it is necessary to revise the concept of sustainable development and the Sustainable Development Goals formulated by the United Nations, taking into account national strategic goals and objectives of the countrys development
Models of grandparents' labour in the socio-economic space of Russia
ΠΠ·ΡΡΠ΅Π½ΠΈΠ΅ ΡΠ΅Π½ΠΎΠΌΠ΅Π½Π° ΠΏΡΠ°ΡΠΎΠ΄ΠΈΡΠ΅Π»ΡΡΠΊΠΎΠ³ΠΎ ΡΡΡΠ΄Π° ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΎΠ΄Π½ΠΎΠΉ ΠΈΠ· ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ² ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ ΡΠΎΠ΄ΠΈΡΠ΅Π»ΡΡΠΊΠΎΠ³ΠΎ ΡΡΡΠ΄Π° - Π½Π°ΡΡΠ½ΠΎΠ³ΠΎ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ, Π°ΠΊΡΠΈΠ²Π½ΠΎ ΡΠ°Π·Π²ΠΈΠ²Π°Π΅ΠΌΠΎΠ³ΠΎ Π·Π°ΡΡΠ±Π΅ΠΆΠ½ΡΠΌΠΈ, Π° Ρ Π½Π°ΡΠ°Π»Π° 2000-Ρ
Π³Π³. - ΠΈ ΡΠΎΡΡΠΈΠΉΡΠΊΠΈΠΌΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΠΌΠΈ. ΠΡΡΠΎΠΊΠΈΠΉ ΡΡΠΎΠ²Π΅Π½Ρ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΠ°ΡΠΈΠΈ ΡΠΎΡΡΠΈΠΉΡΠΊΠΈΡ
ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΉ, Π° ΡΠ°ΠΊΠΆΠ΅ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΡ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π²Π°ΠΆΠ½ΡΡ
ΡΡΡΠ°ΡΠ΅Π³ΠΈΡΠ΅ΡΠΊΠΈΡ
Π·Π°Π΄Π°Ρ, ΡΡΠΎΡΠΌΡΠ»ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
Π² Π½Π°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΌ ΠΏΡΠΎΠ΅ΠΊΡΠ΅ Β«ΠΠ΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΒ» ΠΈ Π‘ΡΡΠ°ΡΠ΅Π³ΠΈΠΈ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈ Π½Π° ΠΏΠ΅ΡΠΈΠΎΠ΄ Π΄ΠΎ 2025 Π³ΠΎΠ΄Π°, Π°ΠΊΡΡΠ°Π»ΠΈΠ·ΠΈΡΡΡΡ ΠΈΠ·ΡΡΠ΅Π½ΠΈΠ΅ ΠΏΡΠ°ΡΠΎΠ΄ΠΈΡΠ΅Π»ΡΡΠΊΠΎΠ³ΠΎ ΡΡΡΠ΄Π°. Π¦Π΅Π»Ρ Π½Π°ΡΡΠΎΡΡΠ΅Π³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠΎΡΡΠΎΠΈΡ Π² Π²ΡΡΠ²Π»Π΅Π½ΠΈΠΈ ΡΠΏΠ΅ΡΠΈΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΡΠΈΡΡΠ°ΡΠΈΠΉ - ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ ΠΏΡΠ°ΡΠΎΠ΄ΠΈΡΠ΅Π»ΡΡΠΊΠΎΠ³ΠΎ ΡΡΡΠ΄Π° Π² ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΌ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅ ΡΡΡΠ°Π½Ρ. ΠΠΌΠΏΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΡΠ½ΠΎΠ²ΠΎΠΉ Π°Π½Π°Π»ΠΈΠ·Π° ΠΏΠΎΡΠ»ΡΠΆΠΈΠ»ΠΈ Π΄Π°Π½Π½ΡΠ΅ ΠΎΠ±ΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π ΠΎΡΡΡΠ°ΡΠ° Β«ΠΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΠΎΠ΅ Π½Π°Π±Π»ΡΠ΄Π΅Π½ΠΈΠ΅ ΡΡΠ»ΠΎΠ²ΠΈΠΉ ΠΆΠΈΠ·Π½ΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡΒ», ΠΎΡΠ΄Π΅Π»ΡΠ½ΡΠ΅ Π²ΠΎΠΏΡΠΎΡΡ ΠΊΠΎΡΠΎΡΠΎΠ³ΠΎ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡ Π² ΠΏΠ΅ΡΠ²ΠΎΠΌ ΠΏΡΠΈΠ±Π»ΠΈΠΆΠ΅Π½ΠΈΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΡ ΠΏΡΠ°ΡΠΎΠ΄ΠΈΡΠ΅Π»ΡΡΠΊΠΈΠΉ ΡΡΡΠ΄. Π ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΎΡΠ½ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠ΅ΡΠΎΠ΄Π° ΠΏΡΠΈΠΌΠ΅Π½ΡΠ»ΠΈΡΡ ΠΈΠ΅ΡΠ°ΡΡ
ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΊΠ»Π°ΡΡΠ΅ΡΠ½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· (Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΌΠ΅ΡΠΎΠ΄Π° ΠΠ°ΡΠ΄Π°, ΠΊΠ²Π°Π΄ΡΠ°ΡΠ° Π΅Π²ΠΊΠ»ΠΈΠ΄ΠΎΠ²Π° ΡΠ°ΡΡΡΠΎΡΠ½ΠΈΡ ΠΈ Π΄ΡΡΠ³ΠΈΡ
ΠΌΠ΅Ρ) ΠΈ Π½Π΅ΠΈΠ΅ΡΠ°ΡΡ
ΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΊΠ»Π°ΡΡΠ΅ΡΠ½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· (ΠΌΠ΅ΡΠΎΠ΄ k-ΡΡΠ΅Π΄Π½ΠΈΡ
). Π ΠΏΡΠΎΡΠ΅ΡΡΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΏΠΎΠ»ΡΡΠ΅Π½Ρ ΡΠ΅ΠΎΡΠ΅ΡΠΈΠΊΠΎ-ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈ ΠΏΡΠΈΠΊΠ»Π°Π΄Π½ΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΡΠ»Π° ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Π° ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΎΡΠ½ΠΎΠ²Π° ΠΈΠ·ΡΡΠ΅Π½ΠΈΡ ΠΏΡΠ°ΡΠΎΠ΄ΠΈΡΠ΅Π»ΡΡΠΊΠΎΠ³ΠΎ ΡΡΡΠ΄Π°, ΡΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½Π½Π°Ρ Π½Π° Π±Π°Π·Π΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΡΠΎΠ΄ΠΈΡΠ΅Π»ΡΡΠΊΠΎΠ³ΠΎ ΡΡΡΠ΄Π° ΠΈ Π·Π°ΡΡΠ±Π΅ΠΆΠ½ΡΡ
Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΠΏΡΠ°ΡΠΎΠ΄ΠΈΡΠ΅Π»ΡΡΡΠ²Π°. ΠΠΌΠΏΠΈΡΠΈΡΠ΅ΡΠΊΠΈΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ» Π²ΡΡΠ²ΠΈΡΡ ΠΈ ΠΎΡ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΠΎΠ²Π°ΡΡ 6 ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ ΠΏΡΠ°ΡΠΎΠ΄ΠΈΡΠ΅Π»ΡΡΠΊΠΎΠ³ΠΎ ΡΡΡΠ΄Π° Π±Π°Π±ΡΡΠ΅ΠΊ, ΡΠ»ΠΎΠΆΠΈΠ²ΡΠΈΡ
ΡΡ Π² ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠΌ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΌ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅. ΠΡΡΠ²Π»Π΅Π½Π½ΡΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΡΠ°Π·Π»ΠΈΡΠ°ΡΡΡΡ ΠΏΠΎ ΡΡΠΎΠ²Π½Ρ ΠΈ ΠΈΠ½ΡΠ΅Π½ΡΠΈΠ²Π½ΠΎΡΡΠΈ Π²ΠΊΠ»ΡΡΠ΅Π½Π½ΠΎΡΡΠΈ ΠΆΠ΅Π½ΡΠΈΠ½ ΡΡΠ°ΡΡΠ΅Π³ΠΎ Π²ΠΎΠ·ΡΠ°ΡΡΠ° Π² ΡΡΠ΅ΡΡ ΠΏΡΠ°ΡΠΎΠ΄ΠΈΡΠ΅Π»ΡΡΠΊΠΎΠ³ΠΎ ΡΡΡΠ΄Π°, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΈΡ
ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»Ρ Π² ΡΡΠΎΠΉ ΡΡΠ΅ΡΠ΅. ΠΡΠ» ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠΉ ΡΠΎΡΡΠ°Π² ΠΊΠ°ΠΆΠ΄ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΏΡΠ°ΡΠΎΠ΄ΠΈΡΠ΅Π»ΡΡΠΊΠΎΠ³ΠΎ ΡΡΡΠ΄Π° - Π²ΡΠ΄Π΅Π»Π΅Π½Ρ ΡΠ΅Π³ΠΈΠΎΠ½Ρ-ΡΠ΄ΡΠ°, ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΡΡΠΈΠ΅ ΡΠΎΠ±ΠΎΠΉ Π³ΡΡΠΏΠΏΡ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ², ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎ ΡΠ²ΡΠ·Π°Π½Π½ΡΡ
Π² ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
Π²Π°ΡΠΈΠ°Π½ΡΠ°Ρ
ΠΊΠ»Π°ΡΡΠ΅ΡΠΈΠ·Π°ΡΠΈΠΈ. ΠΠΎΠΊΠ°Π·Π°Π½Ρ ΠΏΡΠ΅ΠΈΠΌΡΡΠ΅ΡΡΠ²Π° Π°ΠΊΡΠΈΠ²ΠΈΠ·Π°ΡΠΈΠΈ ΠΈ ΡΡΠΈΠΌΡΠ»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΎ ΡΡΠΎΡΠΎΠ½Ρ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π° ΠΏΡΠ°ΡΠΎΠ΄ΠΈΡΠ΅Π»ΡΡΠΊΠΎΠ³ΠΎ ΡΡΡΠ΄Π° Π² ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ
ΡΡΡΠ°Π½Ρ. ΠΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ - ΠΈΠ·ΡΡΠ΅Π½ΠΈΠ΅ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠ΅ΠΉ ΠΏΡΠ°ΡΠΎΠ΄ΠΈΡΠ΅Π»ΡΡΠΊΠΎΠ³ΠΎ ΡΡΡΠ΄Π° Π΄Π»Ρ ΡΠ°Π·Π½ΡΡ
ΠΊΠ°ΡΠ΅Π³ΠΎΡΠΈΠΉ Π΅Π³ΠΎ ΡΡΠ±ΡΠ΅ΠΊΡΠΎΠ² - ΠΌΡΠΆΡΠΈΠ½, ΠΏΡΠ°ΡΠΎΠ΄ΠΈΡΠ΅Π»Π΅ΠΉ, ΠΏΡΠΎΠΆΠΈΠ²Π°ΡΡΠΈΡ
Π²ΠΌΠ΅ΡΡΠ΅ Ρ Π²Π½ΡΠΊΠ°ΠΌΠΈ ΠΈ ΠΎΡΠ΄Π΅Π»ΡΠ½ΠΎ ΠΎΡ Π½ΠΈΡ
, ΠΏΡΠΎΠΆΠΈΠ²Π°ΡΡΠΈΡ
Π² ΠΎΠ΄Π½ΠΎΠΌ Π³ΠΎΡΠΎΠ΄Π΅, ΡΠ΅Π³ΠΈΠΎΠ½Π΅ ΠΈΠ»ΠΈ ΡΠ°Π·Π½ΡΡ
ΡΠΎΡΡΠΈΠΉΡΠΊΠΈΡ
ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ
.Foreign researchers consider the phenomenon of grandparentsβ labour in the framework of the economy of parental labour. Since the early 2000s, Russian scientists have been actively studying this problem due to high socio-economic disparity of Russian regions, and important strategic objectives stated in the Demography National Project and the Strategy of Spatial Development of the Russian Federation for the period until 2025. We identified and described specific regional situations, namely, models of grandparentsβ labour in the socio-economic space of the country. To analyse grandparentsβ labour, we examined individual questions of the βComprehensive monitoring of living conditionsβ survey published by the Federal State Statistics Service (Rosstat). The research methodology includes both hierarchical (based on Wardβs method, the square of the Euclidean distance, and other measures) and non-hierarchical cluster analysis (the k-means method). We proposed a method for studying grandparentsβ labour based on research of parental labour and international demographic studies on grandparenthood. The empirical analysis revealed 6 models of grandparentsβ labour in the socio-economic space of Russia. These models differ in the level and intensity of involvement of older women in the sphere of grandparentsβ labour and their potential in this area. For each model of grandparentsβ labour, we identified the core regions (groups of regions) involved in the clustering. We explained why the government should be interested in the activation and stimulation of grandparentsβ labour in Russian regions. Further research should focus on examining the particularities of grandparentsβ labour depending on the actors: men, grandparents living with their grandchildren and apart from them, living in the same city, in the same or different regions of Russia.ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ Π²ΡΠΏΠΎΠ»Π½Π΅Π½ΠΎ ΠΏΡΠΈ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΠΎΠΉ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠ΅ Π Π€Π€Π Π² ΡΠ°ΠΌΠΊΠ°Ρ
Π½Π°ΡΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΠ΅ΠΊΡΠ° β20β011β00280.The article has been prepared with the support of Russian Foundation for Basic Research, the project No. 20β011β00280
Corporate Family-Friendly Policies: The Possibility of Implementation in Russian Regions
Π ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΡ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΠΏΡΠΎΠ½Π°ΡΠ°Π»ΠΈΡΡΡΠΊΠΎΠΉ ΠΏΠΎΠ»ΠΈΡΠΈΠΊΠΈ ΠΌΠΎΠΆΠ΅Ρ Π²ΠΊΠ»ΡΡΠΈΡΡΡΡ ΡΠ΅Π»ΡΠΉ ΡΡΠ΄ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΡΡ
ΠΈΠ½ΡΡΠΈΡΡΡΠΎΠ². ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΡΠΌΠΈ ΠΊΠΎΡΠΏΠΎΡΠ°ΡΠΈΠ²Π½ΠΎΠΉ ΠΏΠΎΠ»ΠΈΡΠΈΠΊΠΈ, ΠΎΡΠΈΠ΅Π½ΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ Π½Π° ΡΠ΅ΠΌΡΠΈ ΡΠ°Π±ΠΎΡΠ½ΠΈΠΊΠΎΠ², ΠΏΡΠΈ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½Π½ΠΎΡΡΠΈ Π² ΡΠ΅Π»ΠΎΠΌ ΡΡΠ΄Π΅ Π΄ΡΡΠ³ΠΈΡ
ΡΡΡΠ°Π½ Π² Π ΠΎΡΡΠΈΠΈ Π²ΡΡΡΠ΅ΡΠ°Π΅ΡΡΡ Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎ ΡΠ΅Π΄ΠΊΠΎ. ΠΡΠΈ ΡΡΠΎΠΌ Π² Π ΠΎΡΡΠΈΠΈ Π½Π°Π±Π»ΡΠ΄Π°Π΅ΡΡΡ Π²ΡΡΠΎΠΊΠΈΠΉ ΡΡΠΎΠ²Π΅Π½Ρ Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΠ°ΡΠΈΠΈ ΡΠΎΡΡΠΈΠΉΡΠΊΠΈΡ
ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² ΠΏΠΎ ΠΌΠ½ΠΎΠ³ΠΈΠΌ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΠΌ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΡΠΌ. Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠΎΡΡΠΎΠΈΡ Π² ΡΠΎΠΌ, ΡΡΠΎΠ±Ρ, Π²ΠΎ-ΠΏΠ΅ΡΠ²ΡΡ
, Π²ΡΡΠ²ΠΈΡΡ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠ³ΠΎ ΠΊΠΎΡΠΏΠΎΡΠ°ΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΠ΅ΠΊΡΠΎΡΠ° ΠΈ, Π²ΠΎ-Π²ΡΠΎΡΡΡ
, ΠΎΠΏΡΠ΅Π΄Π΅Π»ΠΈΡΡ ΡΠ΅ ΠΈΠ· Π½ΠΈΡ
, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΎΠ±Π»Π°Π΄Π°ΡΡ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π²ΡΡΠΎΠΊΠΈΠΌ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»ΠΎΠΌ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½ΠΈΡ ΠΊΠΎΡΠΏΠΎΡΠ°ΡΠΈΠ²Π½ΠΎΠΉ ΠΏΠΎΠ»ΠΈΡΠΈΠΊΠΈ, ΠΎΡΠΈΠ΅Π½ΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ Π½Π° ΡΠ΅ΠΌΡΠΈ ΡΠ°Π±ΠΎΡΠ½ΠΈΠΊΠΎΠ² ΠΈ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½Π½ΠΎΠΉ Π½Π° ΡΠΎΡΡ ΡΠΎΠΆΠ΄Π°Π΅ΠΌΠΎΡΡΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΡΡΠΈΡ
ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ². ΠΠΈΠΏΠΎΡΠ΅Π·Π° ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠΎΡΡΠΎΠΈΡ Π² Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ Π²ΡΡΠ²Π»Π΅Π½ΠΈΡ ΡΠ°ΠΊΠΈΡ
ΡΠΎΡΡΠΈΠΉΡΠΊΠΈΡ
ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅ΡΠ½ΠΎΠΉ ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ. ΠΠ»Ρ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠ³ΠΎ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π° ΠΏΡΠΈΠΌΠ΅Π½ΡΠ»ΡΡ ΠΈΠ΅ΡΠ°ΡΡ
ΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΊΠ»Π°ΡΡΠ΅ΡΠ½ΡΠΉ Π°Π½Π°Π»ΠΈΠ·, Π·Π°ΡΠ΅ΠΌ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΎΡΡ ΠΏΡΠΎΡΠΈΠ»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΊΠ»Π°ΡΡΠ΅ΡΠΎΠ² ΠΏΠΎ Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡΠ΅Π»ΡΠ½ΡΠΌ ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΡΠΌ. ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΠΈΡΡ Π΄Π°Π½Π½ΡΠ΅ ΠΎΡΠΈΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ ΠΏΠΎ ΡΡΠ±ΡΠ΅ΠΊΡΠ°ΠΌ Π Π€, Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΡΡΠΈΠ΅ ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ ΠΊΠΎΡΠΏΠΎΡΠ°ΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΠ΅ΠΊΡΠΎΡΠ°. ΠΡΠ΄Π΅Π»Π΅Π½Ρ ΠΏΡΡΡ ΠΊΠ»Π°ΡΡΠ΅ΡΠΎΠ² ΡΠΎΡΡΠΈΠΉΡΠΊΠΈΡ
ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ². ΠΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΎ, ΡΡΠΎ Π΄Π²Π° ΠΈΠ· Π½ΠΈΡ
ΠΌΠΎΠ³ΡΡ ΡΡΠ°ΡΡ ΠΏΠΈΠ»ΠΎΡΠ½ΡΠΌΠΈ Π΄Π»Ρ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½ΠΈΡ ΠΏΡΠ°ΠΊΡΠΈΠΊ ΠΏΠΎΠ»ΠΈΡΠΈΠΊΠΈ, ΠΎΡΠΈΠ΅Π½ΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ Π½Π° ΡΠ΅ΠΌΡΠΈ ΡΠ°Π±ΠΎΡΠ½ΠΈΠΊΠΎΠ², Π·Π°Π½ΡΡΡΡ
Π½Π° ΡΡΠΈΡ
ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΡΡ
. Π Π΄Π°Π½Π½ΡΡ
ΠΊΠ»Π°ΡΡΠ΅ΡΠ°Ρ
Π½Π°Π±Π»ΡΠ΄Π°ΡΡΡΡ ΡΠΏΠ΅ΡΠΈΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ (ΠΎΡΠΎΠ±ΠΎ Π½ΠΈΠ·ΠΊΠΈΠ΅ ΡΠΎΠΆΠ΄Π°Π΅ΠΌΠΎΡΡΡ ΠΈ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π» Π΅Π΅ ΡΠΎΡΡΠ°) ΠΈ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅ (Π²ΡΡΠΎΠΊΠ°Ρ ΠΈΠ½Π½ΠΎΠ²Π°ΡΠΈΠΎΠ½Π½Π°Ρ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ ΠΈ Π½ΠΈΠ·ΠΊΠ°Ρ Π΄ΠΎΠ»Ρ ΡΠ±ΡΡΠΎΡΠ½ΡΡ
ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΉ, ΡΠ°ΠΌΡΠ΅ Π²ΡΡΠΎΠΊΠΈΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΠΈ ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΉ ΠΈ ΡΡΠ΅Π΄Π½ΠΈΠΉ ΡΡΠΎΠ²Π΅Π½Ρ ΠΊΠΎΠ½Π΅ΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΡΡΠ΅Π±Π»Π΅Π½ΠΈΡ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ) ΡΡΠ»ΠΎΠ²ΠΈΡ. Π‘Π΄Π΅Π»Π°Π½ Π²ΡΠ²ΠΎΠ΄, ΡΡΠΎ Π² ΠΊΠΎΡΠΏΠΎΡΠ°ΡΠΈΠ²Π½ΠΎΠΌ ΡΠ΅ΠΊΡΠΎΡΠ΅ ΡΡΠΈΡ
ΡΠΎΡΡΠΈΠΉΡΠΊΠΈΡ
ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² ΠΏΠΎΠ»ΠΈΡΠΈΠΊΠ°, ΠΎΡΠΈΠ΅Π½ΡΠΈΡΠΎΠ²Π°Π½Π½Π°Ρ Π½Π° ΡΠ΅ΠΌΡΠΈ ΡΠ°Π±ΠΎΡΠ½ΠΈΠΊΠΎΠ², ΠΌΠΎΠΆΠ΅Ρ ΡΡΠ°ΡΡ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π²ΠΎΡΡΡΠ΅Π±ΠΎΠ²Π°Π½Π½ΠΎΠΉ Π΄Π»Ρ ΠΏΠ΅ΡΡΠΎΠ½Π°Π»Π° ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΉ, Π²ΠΏΠΎΠ»Π½Π΅ Π΄ΠΎΡΡΡΠΏΠ½ΠΎΠΉ Π΄Π»Ρ ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΉ ΠΈ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠΉ Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ Π½ΠΎΠ²ΠΎΠ³ΠΎ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ° Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΠΎΠ»ΠΈΡΠΈΠΊΠΈ. ΠΠ°Π»ΡΠ½Π΅ΠΉΡΠΈΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΌΠΎΠ³ΡΡ Π±ΡΡΡ ΡΠ²ΡΠ·Π°Π½Ρ Ρ Π°Π½Π°Π»ΠΈΠ·ΠΎΠΌ ΠΊΠ΅ΠΉΡΠΎΠ² ΡΠΎΡΡΠΈΠΉΡΠΊΠΈΡ
ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΉ, ΡΠ΅Π°Π»ΠΈΠ·ΡΡΡΠΈΡ
ΠΏΠΎΠ΄ΠΎΠ±Π½ΡΡ ΠΏΠΎΠ»ΠΈΡΠΈΠΊΡ, Π²ΡΡΠ²Π»Π΅Π½ΠΈΠ΅ΠΌ Π±Π΅Π½ΡΠΌΠ°ΡΠΊΠΎΠ², ΠΎΡΠ΅Π½ΠΊΠΎΠΉ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠ΅ΠΉ ΠΌΠ°ΡΡΡΠ°Π±ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠ°ΠΊΠΎΠ³ΠΎ ΠΎΠΏΡΡΠ° ΠΈ ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π΅Π³ΠΎ Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ².Various social institutions may be involved in the implementation of the stateβs pro-natalist policy. Family-friendly corporate policies, common in many countries, are still quite rare in Russia. At the same time, many socio-economic indicators significantly differ across Russian regions. The study aims to identify regional development models of the Russian corporate sector and determine those models that have the highest potential for dissemination of family-friendly corporate policies aimed at increasing the birth rate of the population in these regions. It is hypothesised that such Russian regions can be identified based on a multidimensional classification of socio-economic indicators. The hierarchical cluster analysis was used to model the Russian economic space. Then, the clusters were further grouped according to additional variables. The article analysed official regional statistics characterising the development of the corporate sector. Five clusters of Russian regions were identified. It is proved that corporate family-friendly policies can be disseminated in two regions in particular. Specific demographic (in particular, low birth rate and growth potential) and economic (high innovative activity, small number of loss-making enterprises, the highest demographic indicators among organisations and the average level of priveate consumption) conditions are observed in these clusters. It is concluded that in the corporate sector of these Russian regions, family-friendly policy may gain popularity among staff. This approach, accessible to enterprises, can act as an effective tool of demographic policy. Further research should focus on the analysis of cases of Russian enterprises implementing family-friendly policies, identification of benchmarks, assessment of the possibilities of scaling such experience and forecasting its demographic results.Π Π°Π±ΠΎΡΠ° Π½Π°Π΄ ΡΡΠ°ΡΡΠ΅ΠΉ Π.Π. Π¨ΡΠ±Π°Ρ ΠΈ Π.Π. ΠΠ°Π³ΠΈΡΠΎΠ²ΠΎΠΉ Π² ΡΠ°ΡΡΠΈ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ, ΠΊΠ»Π°ΡΡΠ΅ΡΠΈΠ·Π°ΡΠΈΠΈ ΡΠΎΡΡΠΈΠΉΡΠΊΠΈΡ
ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² ΠΈ ΠΈΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠ°ΡΠΈΠΈ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠ°Π½Π° Π‘ΠΎΠ²Π΅ΡΠΎΠΌ ΠΏΠΎ Π³ΡΠ°Π½ΡΠ°ΠΌ ΠΡΠ΅Π·ΠΈΠ΄Π΅Π½ΡΠ° Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈ Π½Π° Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΡΡ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ Π²Π΅Π΄ΡΡΠΈΡ
Π½Π°ΡΡΠ½ΡΡ
ΡΠΊΠΎΠ» Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈ (ΠΠ¨-1327.2022.2). Π’Π΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΡΠΎΠ±Π»Π΅ΠΌΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ, Π²ΡΠΏΠΎΠ»Π½Π΅Π½Π½ΠΎΠ΅ Π. Π―Π½Ρ, ΡΠ΅Π°Π»ΠΈΠ·ΠΎΠ²Π°Π½ΠΎ ΠΏΡΠΈ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΠΎΠΉ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠ΅ ΠΠΈΠ½ΠΈΡΡΠ΅ΡΡΡΠ²Π° Π½Π°ΡΠΊΠΈ ΠΈ Π²ΡΡΡΠ΅Π³ΠΎ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈ Π² ΡΠ°ΠΌΠΊΠ°Ρ
ΠΡΠΎΠ³ΡΠ°ΠΌΠΌΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ Π£ΡΠ°Π»ΡΡΠΊΠΎΠ³ΠΎ ΡΠ΅Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ½ΠΈΠ²Π΅ΡΡΠΈΡΠ΅ΡΠ° ΠΈΠΌΠ΅Π½ΠΈ ΠΏΠ΅ΡΠ²ΠΎΠ³ΠΎ ΠΡΠ΅Π·ΠΈΠ΄Π΅Π½ΡΠ° Π ΠΎΡΡΠΈΠΈ Π.Π. ΠΠ»ΡΡΠΈΠ½Π° Π² ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΈΠΈ Ρ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΎΠΉ ΡΡΡΠ°ΡΠ΅Π³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π°ΠΊΠ°Π΄Π΅ΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π»ΠΈΠ΄Π΅ΡΡΡΠ²Π° Β«ΠΡΠΈΠΎΡΠΈΡΠ΅Ρ-2030Β».The work of Oksana Shubat and Anna Bagirova in terms of developing a research methodology, clustering Russian regions and interpreting the results was supported by the Council for Grants of the President of the Russian Federation for state support of leading scientific schools of the Russian Federation (NSh-1327.2022.2). Theoretical substantiation of the research by Yan Doudou was supported by the Ministry of Science and Higher Education of the Russian Federation within the framework of the development program of the Ural Federal University as part of the strategic academic leadership program Β«Priority 2030Β»
Regional convergence of fertility in Russia
The balance of the regions' demographic dynamics in many ways determines the country's sustainable demographic development. The high level of the regional fertility differentiation, historically manifested in Russia, requires the development of specific tools. These tools are necessary for analysing the regional imbalance as well as the trends of the regions' convergence (divergence) in terms of fertility rate. The study analyses convergence of fertility in Russia. For this purpose, I developed a theoretical and methodological framework that assesses the concept of convergence at three levels: ideological and political, theoretical, and instrumental and applied. Methodological approaches to analysing the fertility's convergence allow assessing the dynamics of the fertility's interregional dispersion, the structural impact in the tendencies of regional convergence, as well as the changes of the regions' ranked positions in terms of fertility. I demonstrated the methods of analysing Ο-, Ξ²-, Ξ³-convergence. Further, I tested the developed tools using the data on the total fertility rate for the period from 1990 to 2016. A separate analysis was conducted for the period from 2007, when the measures aimed at supporting fertility significantly strengthened. The results of the study have demonstrated that in the historical perspective there was no fertility convergence. Moreover, there is no fertility convergence in the period of active implementation of the state measures to support fertility. Thus, the recent demographic policy is yet to produce a positive effect in relation to levelling the regional differences in fertility. I concluded that analysing the regional fertility's convergence allows understanding the nature and prospects of the population's reproduction processes in the country. This analysis expands the information base for making management decisions in the sphere of demographics and allows addressing the demographic problems in Russia as it contributes to the growth of effectiveness of the measures to support and stimulate fertility. The study of the so-called club convergence is a prospective direction for further research. Β© 2019 Institute of Economics, Ural Branch of the Russian Academy of Sciences. All rights reserved.Council on grants of the President of the Russian FederationThe article has been prepared within the research project βFertility and parenting in Russian regions: models, invigoration strategies, forecastsβ, supported by the President of Russian Federation (the grant No. NSh-3429.2018.6)
Socially-oriented functions of small business under the conditions of transformational economy
Π ΡΡΠ°ΡΡΠ΅ ΠΈΡΡΠ»Π΅Π΄ΡΡΡΡΡ ΡΡΠ½ΠΊΡΠΈΠΈ ΠΌΠ°Π»ΡΡ
ΡΠΎΡΠΌ ΠΏΡΠ΅Π΄ΠΏΡΠΈΠ½ΠΈΠΌΠ°ΡΠ΅Π»ΡΡΡΠ²Π°, ΠΏΡΠΈΠ΄Π°ΡΡΠΈΠ΅ ΠΎΡΠΎΠ±ΡΡ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΡΡ Π·Π½Π°ΡΠΈΠΌΠΎΡΡΡ ΡΡΠΎΠΉ ΡΠΎΡΠΌΠ΅ Π±ΠΈΠ·Π½Π΅ΡΠ° Π² ΡΡΠ°Π½ΡΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΡΠΉ ΠΈ ΠΊΡΠΈΠ·ΠΈΡΠ½ΡΠΉ ΠΏΠ΅ΡΠΈΠΎΠ΄Ρ. ΠΠ²ΡΠΎΡΠΎΠΌ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΡΠΈΡΠΎΠ²Π°Π½Ρ ΡΠ°ΠΊΠΈΠ΅ ΡΠ°Π½Π΅Π΅ Π½Π΅ Π²ΡΠ΄Π΅Π»ΡΠ΅ΠΌΡΠ΅ ΡΡΠ½ΠΊΡΠΈΠΈ ΠΌΠ°Π»ΠΎΠ³ΠΎ Π±ΠΈΠ·Π½Π΅ΡΠ°, ΠΊΠ°ΠΊ ΡΠ΅ΠΌΠ΅ΠΉΠ½Π°Ρ ΠΈ ΡΠ΅ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠΎΠ½Π½Π°Ρ, ΡΡΠΎ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΡΡΡΠ°Π½ΠΎΠ²ΠΈΡΡ ΡΠ²ΡΠ·Ρ ΠΏΡΠ΅Π΄ΠΏΡΠΈΠ½ΠΈΠΌΠ°ΡΠ΅Π»ΡΡΠΊΠΎΠΉ ΠΈ ΡΠ΅ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠ²Π½ΠΎΠΉ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ. Π ΡΠ°Π±ΠΎΡΠ΅ ΡΠ°ΠΊΠΆΠ΅ Π΄Π°Π΅ΡΡΡ ΡΠ°ΡΡΠΈΡΠΈΡΠ΅Π»ΡΠ½Π°Ρ ΡΡΠ°ΠΊΡΠΎΠ²ΠΊΠ° ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΠ½ΠΊΡΠΈΠΉ ΠΏΡΠ΅Π΄ΠΏΡΠΈΠ½ΠΈΠΌΠ°ΡΠ΅Π»ΡΡΡΠ²Π°.The article analyses the functions of the forms of small business which attribute certain social and economic importance to this form of business during transformational and crisis periods. The author is the first to identify such functions of small business as family and reproductive. This fact helps the author to establish connections between entrepreneurial and reproductive activity. Extensive understanding of entrepreneurial economic functions is also provided in the article
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