Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
Introduction. Demographic problems are one of the acutest in modern Russia. Negative demographic trends which are specifically manifested in the regions of the country, actualize the study of trends, causes and consequences of the decline in fertility. This will allow developing more effective measures of state support and stimulation of the birth rate. At the same time, the study of regional differentiation is especially in demand in relation to higher-order births. An increase in the number of births of third and subsequent children is necessary to overcome negative demographic trends and increase the population in the country. The purpose of the article is to study the features of regional differentiation of high order births in Russia and to assess the influence of economic factors on them. Materials and Methods. The demographic indicators of Rosstat for 2018–2021, presented in the regional context, were used as an information base; ratings of regions of the agency RIA Rating. The methods of descriptive statistics, correlation analysis and comparison tests were used. Based on the Tukey criterion the regions with atypical values of the birth rate were identified and described separately. Results. The analysis has revealed a high level of regional differentiation of higher-order births; showed no relationship between the birth rate of third and subsequent children and the following economic factors in the regions: the implementation of regional maternity capital programs, the level of socio-economic development of the region and the level of well-being of families in the region. The analysis has showed that these factors are not related to the nature of the dynamics of the birth rate of third and subsequent children in the regions of Russia. Discussions and Conclusions. The results obtained have allowed us to conclude that the determinants of high-order births in Russia are not limited to the economic conditions of the population’s life. The effectiveness of the economic measures implemented in the country to support and stimulate high-order births has not been confirmed. The results can be used to evaluate the effectiveness of pronatalist state measures. Understanding the features and causes of the emerging regional differentiation of high-order births will make it possible to build more reasonable forecasts of demographic dynamics.
Introduction. Demographic problems are one of the acutest in modern Russia. Negative demographic trends which are specifically manifested in the regions of the country, actualize the study of trends, causes and consequences of the decline in fertility. This will allow developing more effective measures of state support and stimulation of the birth rate. At the same time, the study of regional differentiation is especially in demand in relation to higher-order births. An increase in the number of births of third and subsequent children is necessary to overcome negative demographic trends and increase the population in the country. The purpose of the article is to study the features of regional differentiation of high order births in Russia and to assess the influence of economic factors on them. Materials and Methods. The demographic indicators of Rosstat for 2018–2021, presented in the regional context, were used as an information base; ratings of regions of the agency RIA Rating. The methods of descriptive statistics, correlation analysis and comparison tests were used. Based on the Tukey criterion the regions with atypical values of the birth rate were identified and described separately. Results. The analysis has revealed a high level of regional differentiation of higher-order births; showed no relationship between the birth rate of third and subsequent children and the following economic factors in the regions: the implementation of regional maternity capital programs, the level of socio-economic development of the region and the level of well-being of families in the region. The analysis has showed that these factors are not related to the nature of the dynamics of the birth rate of third and subsequent children in the regions of Russia. Discussions and Conclusions. The results obtained have allowed us to conclude that the determinants of high-order births in Russia are not limited to the economic conditions of the population’s life. The effectiveness of the economic measures implemented in the country to support and stimulate high-order births has not been confirmed. The results can be used to evaluate the effectiveness of pronatalist state measures. Understanding the features and causes of the emerging regional differentiation of high-order births will make it possible to build more reasonable forecasts of demographic dynamics.
This paper examines marital market preferences and opportunities, given the gender asymmetry of education and the limited supply of equally educated partners (especially in the higher education segment), and explores selection patterns resulting from new composite changes for at-risk populations entering into a marriage. Specifically, we are researching mixed marriages by education and changes in the patterns of that selection in the former Yugoslav republics. The assessment of the impact of changes in educational characteristics by gender on patterns of marital pairing and the reduction of the level of educational hypergamy was performed by analysing the movement of F-index and H-index values from 1970 to 2020 and their correlation coefficient. The results showed that educational hypergamy is declining in all countries and that the decline in hypergamy is positively associated with the predominance of women among highly educated individuals.
Background: The total fertility rate (TFR) is a key indicator of population dynamics and health. It shows the average number of children a woman would have in her lifetime, based on the current fertility rates for different age groups. Various factors affect the TFR, such as social, economic, political, technological, environmental, and health factors. By analyzing these factors and how they influence the TFR, policymakers and planners can design and implement interventions to achieve optimal population and health outcomes. Methods: We searched PubMed, Scopus, ISI Web of Science, and ProQuest databases, as well as the Google Scholar search engine systematically. We searched for studies from 13 December 2021 - 20 May 2022, without time limits. We included studies that described at least one driver of TFR. We applied the STEEPH framework (social, technology, environmental, economic, political, and health) method to analyze the qualitative data. Results: We included 64 studies from 26 countries. We identified 410 drivers of TFR, and classified 181 drivers into six main categories: Social, technological, environmental, economic, political, and health. The main factors that lower the fertility rate are education, aging, poverty, postponing marriage (social), exposure of women to mass media (technology), type of residence and living in urban areas, road accidents (environmental), income and economic situation (recession and inflation), unemployment, debt, women’s employment (economic), government policies (political), use of anti-fertility drugs (health). The main drivers that raise the fertility rate are having first child girls, women’s proximity to their workplace (social), use of assisted reproductive technology (technology), living in rural areas and natural and unnatural disasters (environmental), improvement in men’s labor market conditions, employment opportunities (economic), increased parental leave (political), high infant mortality (health). Conclusions: We identified a comprehensive list of effective drivers that have increased or decreased TFR in different parts of the world. It is necessary to review these drivers considering the specific conditions and social, cultural, economic, and political coordinates of each country. This review should inform policymakers' actions in this area.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.