Key Socio-economic Indicators Research Articles

Catch up and overtake − China against USA

According to the World Bank in 2016. China’s total GDP has reached the level of the United States, and in 2022. exceeded by 19,2%. But as for relative characteristics, for example, per capita GDP, in 2022. in China it was only 28.1% of the US level. With such a correlation of key socio-economic indicators, the issue of a country with number 1 status in the world acquires special interest. The main objective of this article is to identify and evaluate the processes of convergence of per capita GDP indicators of the USA and China, and try to predict their relative position in the long term. Calculations are carried out on a classical, but still relevant, model foundation. An important feature of the approach used is the consideration of exclusively investment parameters as factors of GDP growth. If the retrospective dynamics are prolonged, the leveling off of the per capita GDP of the USA and China is estimated to occur by the mid-2040s. It is also shown that in the American economy, as such, there are most likely no prerequisites that could prevent the contraction of the indicators under consideration already in the visible future. The actual pace of their convergence is determined by the state of affairs in the Chinese economy.

Horizontal and Vertical Spatial Equity Analysis Based on Accessibility to Living Service Amenities: A Case Study of Xi’an, China

Accessibility is closely related to residents’ well-being and quality of life and is a potential indicator of social equity. This study aims to present a methodology for assessing the combined equity of living service amenities (LSAs) based on accessibility. This study focuses on fourteen types of LSAs in six dimensions and improves the three-step floating catchment area (3SFCA) model by considering the behavioral demand characteristics of different age groups. Taking the main built-up area of Xi’an as an example, the modified 3SFCA model is applied to assess the accessibility of LSAs, and the supply–demand index is used to measure the supply and demand level of the horizontal dimension. Furthermore, random forest regression was used to screen the key socioeconomic indicators affecting the accessibility of LSAs, and then the binary spatial correlation local index was used to reveal the spatial distribution characteristics between LSA accessibility and key socioeconomic indicators in the vertical dimension. Finally, the comprehensive equity of LSAs is evaluated by space superposition. The results showed that there was a serious imbalance between the supply and demand of LSAs in Xi’an’s main built-up area, with polarized oversupply and weak supply areas, especially for accessibility to low-grade LSAs. Accessibility is relatively low for children and young and middle-aged groups, and intergenerational inequalities were particularly pronounced among them. The lower-income group was generally at a disadvantage in accessing the high-demand amenities, and those who resided in affordable housing in the periphery of the city were more likely to face social exclusion. This study emphasizes the importance of distributing urban resources equitably among different social groups, which can help decision makers achieve a balance between horizontal equity and vertical equity in the allocation of urban LSAs and promote spatial equity and sustainable social development.

The Super-Rich in Modern Russia: Who Are They and Are They Changing?

Abstract The study focuses on a hard-to-reach and relatively little-studied group that largely determines the configuration of wealth inequality in Russia today – the super-rich Russian businessmen. The object of the study are businessmen who have appeared on the Forbes lists from 2004 to 2021. Based on the analysis of the specially collected empirical database, the composition of the group by key socio-economic and demographic indicators is analyzed, its changes in the course of Russia’s modern history are traced, and the overall dynamics of the group are assessed. The high degree of stability of this group is demonstrated, as well as the high degree of internal inequality within it. Differences in the two sub-groups of the super-rich – those who entered the labor market in the pre-reform and post-reform periods – are identified. It is shown that these differences highlight the gradual changes taking place in this group. However, even today the pre-reform super-rich dominate the group and therefore determine its generalized portrait.

Assessment of the Link between CO2 $emissions and Socio-Economic Indicators

Abstract This article examines the intricate relationships between carbon dioxide (CO2) emissions and key socio-economic indicators across various sectors. Utilizing different statistic methods, we scrutinize the interdependencies between air emissions and indicators such as Gross Domestic Product (GDP), education, life expectancy, pesticide use, recycling rates, agricultural production, net income, and tourism. Our analysis reveals a complex panorama where economic growth, indicated by GDP, agricultural output, and tourism, exhibits a strong positive correlation with CO2 emissions, suggesting that economic activity is a significant driver of environmental impact. Intriguingly, life expectancy also correlates positively with emissions, potentially reflecting the dual facets of industrial development, which, while boosting living standards and healthcare, concurrently increases environmental burdens. Conversely, educational attainment shows a negligible correlation, hinting at the potential for decoupling intellectual capital from carbon output. Through a robust statistical approach, this study underscores the multifaceted linkages between emissions and socio-economic health, highlighting areas for policy intervention and sustainable development strategies to balance economic advancement with environmental stewardship.

Особенности потребления продуктов питания в Республике Саха (Якутия)

Over the past decades, industrial development, urbanization, globalization, as well as economic development and socio-economic crises have caused rapid changes in diet and lifestyle of the population of Yakutia. According to existing international statistics, quality of diet has a significant impact on health and life expectancy of population. The article is concerned with specific features of food consumption patterns in Yakutia as a region, as well as with compliance of energy and nutritional value of the food consumed with the recommended standards. The study is based on a summary of state statistics data starting from the mid-1990s, which allowed to compare behavior and structure of food consumption with the key socio-economic indicators of living standards. Standard statistical methods were used for the analysis.

Investing in knowledge assets: a novel approach for measuring national intellectual capital index in emerging economies

PurposeThe aims of the current study were twofold: first, to rank the world’s emerging economies based on a novel National Intellectual Capital Index (NICI) and its components; and second, to examine the impact of NICI and its components on economic growth, measured in terms of real GDP per capita.Design/methodology/approachWe employed principal component analysis (PCA) to construct the novel NICI based on five key socio-economic indicators including (1) national human capital, (2) national structural capital, (3) national relational capital, (4) national informational capital and (5) national innovational capital. These indicators are publicly available for many countries. The index was generated by considering the most appropriate socio-economic indicators as precise measures of NIC from the Penn world table (version 10.0), the World Bank’s database of world governance and development indicators and the KOF globalization across the selected emerging economies.FindingsThe empirical findings revealed that national human capital is a significant driver of NIC, corresponding to higher economic growth. This is followed by national informational capital, national relational capital, national innovation capital and national structural capital. Furthermore, results indicate that the contribution of national structural capital is marginal compared to other critical strands of NIC.Practical implicationsNIC is generally considered the most valuable strategic resource for driving knowledge economies, especially in the Industry 5.0 revolution. Ranking emerging economies based on the NICI sheds light on the accumulated stock of NIC and how it contributes to and improves the economic growth of these economies. The stock of NIC is considered a critical success factor for measuring both current and future economic prosperity. Therefore, using the socio-economic indicators of KOFGI as accurate measures of NICI will assist policymakers in formulating and implementing relevant policies to enhance the accumulation of knowledge-based capital, which are critical components of NIC.Originality/valueTo the best of the authors' knowledge, this is the first study of its kind, both theoretically and empirically, to measure the National Intellectual Capital Index (NICI) using the most nascent socio-economic indicators of NIC. Moving forward, this study evaluates the impact of NICI and its components on economic growth, which is a relatively sparse area of research in the context of emerging knowledge economies.

Assessing agglomeration processes in Russian second-tier urban agglomerations

<abstract> <p>One of Russia's strategic objectives is to identify and create conditions to ensure accelerated development of promising centers of economic growth in the country's regions. In practice, most of these centers are cities of different levels of hierarchy, which create or have the potential to create urban agglomerations on their basis. At the same time, at present, most attention is paid to the study of the largest and large urban agglomerations not only in domestic, but also in the world science; while the real prerequisites and processes of second-tier agglomerations development are studied rather poorly. In this regard, the purpose of this paper was to analyze and identify the specifics of agglomeration processes in several Russian second-tier agglomerations. To achieve this purpose, we used a wide range of both general scientific (analysis, synthesis, structural-functional, etc.) and applied economic and mathematical methods (index method, correlation analysis, calculation of the Theil index). The main conclusions of the research was that the key trend of these agglomerations' development was the increasing concentration of an already high share of regional production, investment, and population against the background of growing intra-regional heterogeneity. At the same time, agglomeration processes themselves spread only to the territory closest to the core, which is manifested in the convergence of growth rates of these territories in terms of key socio-economic indicators. All this proves the underdevelopment of the satellite zone of second-tier agglomerations and the hypertrophied development of the core: weak interconnectedness of their reproductive processes, which may be a threat to the development of such agglomerations as integrated socio-economic systems and growth centers of regional and macro-regional significance in the future. The authors showed that a number of northern/arctic agglomerations (Surgut, Arkhangelsk) have a significant development potential due to not only the formed economic base of their satellite zone, but also socio-economic connectivity along the line "core-satellite zone". The scientific novelty of the presented research lies in the development of approaches, substantiation of methodological tools for assessing agglomeration processes, and identification of the specifics of these processes in Russian second-tier agglomerations on the basis of its testing.</p> </abstract>

«ЧЕРНЫЕ ЛЕБЕДИ» Н. ТАЛЕБА. УГРОЗЫ И ВОЗМОЖНОСТИ ДЛЯ РОССИЙСКОЙ ЭКОНОМИКИ

The article discusses the concept of «black swans», global socio-economic crises, distinguished by a number of characteristic features. The causes and consequences of the «black swans» of our time are formulated based on the study of static data. An analysis of the state and dynamics of key socio-economic indicators in Russia for 2008–2023 was carried out, negative dynamics of indicators during periods of «black swans» were identified, and features of the impact of various crises were identified. It is shown that «black swans», with a low probability of occurrence, have a high impact on the economies of countries, and this impact in most cases has a delayed effect. At the same time, the positive consequences of «black swans» for the Russian economy are formulated.

Взаимосвязь развития региона и функ­ционирования вузов (на примере Северо-Западного федерального округа)

The role of universities in regional socio-economic systems is pivotal. However, despite the overall trend of GRP growth, regions of Russia’s Northwestern Federal District underperform on education-related measures. These include the share of education in GRP, the percentage of individuals employed in the education sector and the number of universities and students. These trends pose a substantial challenge to regional development, especially in the context of the fourth industrial revolution and the rise of the knowledge economy. The lack of attention to the education sector may stem from the gross underestimation of its contribution to regional development. By implementing their ‘third mission’, universities exert influence on the economy, politics and socially responsible industries in their home region. A better understanding of the role of universities in regional development requires a comprehensive evaluation of their performance. This study aims to evaluate the performance of regional universities and examine its impact on regional socio-economic indicators. The paper proposes a methodology for evaluating the performance of regional universities and presents the results of its application in the regions of Russia’s Northwestern Federal District. The universities of the Arkhangelsk region and St Petersburg demonstrated the highest performance levels, whilst those of the Leningrad region were the lowest. Correlation analysis showed a significant connection between universities’ performance levels and the key socio-economic indicators of regional development. Universities’ performance levels vary significantly across Russia’s Northwestern regions. The findings may interest researchers studying regional development issues and administrators of universities prioritising the implementation of the third mission. Additionally, the results can inform decisions regarding the advancement of higher education at the regional level within the Northwestern Federal District.

АНАЛИЗ ТЕНДЕНЦИЙ В ДИНАМИКЕ ТРЕХ КЛЮЧЕВЫХ СОЦИАЛЬНЫХ ПОКАЗАТЕЛЕЙ ЭКОНОМИКИ РОССИЙСКОЙ ФЕДЕРАЦИИ (ПО ДАННЫМ ЗА 2005-2022 ГГ.)

The work is devoted to the development of methods and computer tools for the analysis of key socio-economic indicators of the Russian Federation, per capita monetary income, expenses and wages of employees of the organization, based on statistical data for 18 years (for 2005-2022). To analyze the relationships and trends of key indicators, both classical statistical methods were used (visualization using various graphs and calculation coefficients), as well as methods of econometric modeling. The developed tools and computer model are based on the identification of relationships and dependencies between time series of key socio-economic indicators using methods of linear, hyperbolic, power, exponential and parabolic correlation and regression. The methodology also includes the calculation and analysis of coefficients characterizing the ratio of wages to income; expenses to income and expenses to wages, as well as visualization and analysis of changes in these relations for 2005-2022. Quantitative analysis in economics involves the development and comparison of a large number of options that differ in the initial data, the form of communication and other parameters. In this case, it becomes necessary to repeatedly perform the same computational operations. The computer model developed by the authors, based on MS Excel, allows you to automate the execution of the same type of calculations for various indicators and their ratios. The proposed toolkit has been developed and tested on the example of three key social indicators of the economy of the Russian Federation for 2005-2022). For all three key social indicators under consideration, it was possible to construct statistically significant models of various types, quantitatively characterizing their relationship, which can be assessed as positive and quite close.

Secular trends in height, weight, and body mass index in the context of economic and political transformations in Russia from 1885 to 2021.

To study and analyze the impact of socio-economic factors on secular changes in height, weight, and body mass index (BMI) among Moscow's youth over the time interval from the late 19th-early 20th century to the present. Anthropometric data, including height, weight, and BMI, were collected through surveys conducted on youths aged 17-20 years in Moscow from the 1880s for males and from the 1920s for females to the present. The dataset includes information on 6434 individuals surveyed from 2000 to 2019, as well as previously published mean values. Economic development indicators, such as gross domestic product (GDP) per capita, monthly average income per capita, and the Gini coefficient, were examined to analyze the association between secular trends in body size and socio-economic conditions. A positive secular trend in height and weight has been observed among Moscow's youth from the early 20th century to the present. Substantial increases in height occurred during the second half of the previous century, stabilizing in the 2000s. Over the analyzed period, both average body weight and BMI values showed a consistent rise. The pattern for BMI exhibited a U-shaped trend, with a decline from the 1970s to the mid-1990s, followed by a subsequent increase. Strong correlations were found between the secular changes in body size among Moscow's youth and temporal fluctuations in key socio-economic indicators, including GDP per capita, monthly average income per capita, and the Gini coefficient. The study demonstrates the significant influence of socio-economic conditions on intergenerational changes in body size, as evidenced by the positive secular trend in physique indicators (height, weight, and BMI) among Moscow's youth.

Landscape conservation in the natural-rural interface. A social-ecological approach in Natural Parks of Andalusia (Spain)

ContextMultifunctional rural landscapes are social-ecological systems that represent a link between nature and culture. They are characterized by the conservation and protection of ecological processes, natural resources and biocultural diversity. The conservation of these landscapes is mainly based on the establishment of Protected Natural Areas (PAs) whose regulatory schemes have often promoted their degradation.ObjectivesWe evaluate the effectiveness of the conservation strategies of the Natural Park category in the protection and maintenance of rural cultural landscapes. We analyse at a regional and local scale both the dynamics of land-uses and the socioeconomic structure of the local populations involved, identifying the main social-ecological indicators of change in the protected landscape.MethodsWe apply a methodological approach, based on geoprocessing tools and multivariate analysis, to examine social-ecological changes in rural cultural landscapes after the establishment of a network of PAs. The designed method allows us to infer the ecological and socioeconomic resilience of protected landscapes.ResultsConservation efforts have tended to underestimate rural landscapes in favour of natural ones, mainly forest systems, and have not been able to prevent the processes of abandonment and degradation of protected landscapes. A simplification of the land-use systems dependent on traditional farming practices is observed. This implies the loss of both the multifunctionality of rural landscapes and their resilience to environmental changes. The key socioeconomic indicators identified highlight the deterioration of the rurality of protected landscapes.ConclusionsOur social-ecological approach is a useful tool to evaluate the effectiveness of PAs. Protection of landscape is related to the decline of traditional agricultural systems and rewilding through land abandonment. Culturalness is necessary to promote the management and conservation of rural landscapes from a holistic perspective.

Hybrid Wars in the Macroeconomic Supersystem of the XXI Century

We do care about what the foreseeable future will be… The recent period has clearly shown that expectations of W estern experts regarding the planned collapse of Russian and Chinese economies have not materialized. The ar ticle analyzes the main pressure tools and strategies of the main global politics actors on peripheral countries in order to solve the accumulated problems associated with increased debts and the need for fur ther trade expansion. Aggregated forecast scenarios for the situation development in relation to the GDP growth/fall of the leading countries of the world are structured . The authors’ calculations proved that, despite the risks and threats of fur ther sanctions escalation and other restrictions, the implemented macroeconomic policy of Russia and China ensures preser vation of their key socio-economic indicators, providing national sovereignty.

Tackling the challenges of assessing socioeconomic impacts of farmland restoration: The case of Malawi

This research explores the potential of using the secondary household survey data to identify key socioeconomic indicators for tracking farmland restoration progress in Malawi since 2017. A two-year panel data for the periods between 2016–2017 and 2019–2020 was created for the analysis, building on data collected from Malawi’s Integrated Household Panel Survey (IHPS). An initial data analysis shows that estimated average Household Restoration Intensity Score (HRIS) increased from 2.05 in 2016 to 2.24 in 2019, indicating increased intensification of farmland restoration at the household level over time. The average Food Consumption Score (FCS) of all the households also significantly improved over time, rising from 43.19 in 2016 to 47.43 in 2019. A Difference-in-Difference (DiD) model was developed to quantitatively estimate the causal effects of the farmland restoration interventions on the socioeconomic improvement of rural households. Overall, the model shows some promising results. All four regressions generated statistically significant results regarding the positive impact of restoration interventions over time on four socioeconomic indicators, including food and non-food expenditure, crop sales, and FCS at the household level. However, the model results should be interpreted with care due to clear caveats on secondary household survey data. In response, this study recommended three concrete ways that surveys can be improved to collect data that is relevant for assessing the socioeconomic impacts of farmland restoration. This study also calls for urgent global actions to construct a robust restoration monitoring and evaluation system that will allow systemically monitoring and tracking socioeconomic improvements resulting from restoration interventions in a consistent manner over time.

МОДЕЛЮВАННЯ ЗВ'ЯЗКУ МІЖ СТІЙКИМ РОЗВИТКОМ ТЕРИТОРІЙ, КУЛЬТУРНИМИ І КРЕАТИВНИМИ ІНДУСТРІЯМИ

The article is a continuation of regular research on the creative economy. This article solves the scientific and practical task of establishing the relationship between cultural, creative industries and sustainable development. The relationship between the sustainable development of territories and cultural, creative industries was modeled, which was implemented through a formalized approach based on the calculation and interpretation of the correlation coefficients between the Index of Progress in Achieving Sustainable Development Goals and four key socio-economic indicators that characterize the state of the cultural and creative sector, such as: value added employment, state and household spending on culture. The study compared the indicators by country for a ten-year period from 2011 to 2021: the EU countries, the UK and Ukraine, on the basis of which the countries were grouped depending on the closeness of the relationship between the indicators. The results of the grouping and interpretation of the data of the correlation analysis confirmed the connection between the creative industries and the sustainable development of territories. It has been proven that countries with developed cultural industries have higher indicators of progress in achieving sustainable development goals, countries with moderate, low and insignificant correlation show an insignificant relationship between cultural industries and progress in achieving sustainable development goals. It has been established that Ukraine, in terms of the tightness of ties between the creative sector and sustainable development, belongs to countries with a very high positive correlation. The expediency of stimulating the development of creative industries as a tool for achieving progress in sustainable development is substantiated. It is argued that the results obtained are the starting point for further research, which will take into account additional variables (factors) that were not taken into account in this article, which does not allow us to draw final conclusions about causal relationships.

The Enabling Environment for Official Development Assistance and FDI Inflows: An Empirical Evidence from Djibouti

By leveraging the best of its strategic and economic advantage and investing in transportation and port facilities, Djibouti has seen amazing progress over the past ten years. However, there are reservations regarding the inclusivity and stability of this expansion in the future. The current research investigates the enabling environment for official development assistance and FDI inflows in Djibouti from the period 1997 until 2020. To examine the impact of key socioeconomic and governance indicators on ODA and FDI inflows, the study used simple ordinary least squares and quantile regression. The results showed that, in the case of official development assistance, variables like GDP and multilateral debt maximize foreign aid to Djibouti. Contrarily, the country's regulatory environment and government effectiveness do not support international assistance. However, the results of FDI showed that Djibouti is more attractive to FDI inflows when there is a greater level of transparency in the rule of law and spending in the health sector. Additionally, the country's regulatory quality, voice accountability, and low population growth rate all contribute to a decline in FDI inflows. Last but not least, the GDP and domestic credit to the private sector indicate a negligible influence in creating a desirable climate for FDI inflows, which is somewhat accurate given the weak economic position of the nation. According to the conclusions, Djibouti should modify its governance structure and implement suitable structural transformations that preserve and appeal to multinational collaboration rather than concentrating primarily on domestic businesses. Finally, the government must liberalize the market, enabling international businesses to freely operate there, while also offering them the support they require, such as fair taxation and stability.

The differential impacts of socioeconomic status on vulnerability in urban contexts: a probit analysis of older women in the United States

ABSTRACT This paper integrates a unique dimension of gender in the analysis of economic vulnerability in urban contexts by focusing on women aged 50 and older. We use a probit model to predict the likelihood of vulnerability with a zero-one dummy dependent variable, and four categories of socioeconomic characteristics as predictors: educational attainment, labour market participation, individual demographics, and household characteristics. Using a pooled cross-section of data from the American Community Survey (2013–2017 5-Year estimates), we explore the transmission channel of vulnerability across the four largest cities in the US. The results show, through average marginal effects, a strong association between economic vulnerability and key socioeconomic indicators. The findings support the view that gender differences in labour market participation remain key in explaining disparities. Our two policy prescriptions focus on a more targeted approach in implementing retirement policy changes and loosening the link between labour supply and income.

Анализ перспективных направлений развития Ямало-Ненецкого автономного округа в экономической системе Уральского федерального округа

The sustainable development of the national economy is mainly due to the balanced and steady development of its regions. The vast territory of Russia led to the formation of federal districts, which present a unity of the certain territories, on which relatively coordinated mechanisms of territorial development are formed, taking into account the socio-economic characteristics of the regions that are part of macroregions - federal districts. There arises an applied scientific interest in studying the general trends and strategic priorities for the development of a particular federal district, which influence the formation of development prospects for the subjects of the federation. The key socio-economic indicators of the development of the Ural Federal District have been analyzed, the structural and dynamic features of the regions included in its composition have been defined. The strategic priorities of the territorial development of the Ural Federal District are identified, which are detailed in the regional strategies for long-term socio-economic development. Based on the analysis of the territorial specifics of the socio-economic development of the Yamal-Nenets Autonomous Okrug, its significance in the development of the macroregion is determined, and the most acute problems of economic and social development are identified. Based on the results of the SWOT analysis, the Yamalo-Nenets Autonomous Okrug was assessed in three main areas (groups of factors): parameter “Person”, parameter “Economy”, parameter “Space”. MatFigs of the SWOT-analysis are illustrated for the priority areas under consideration, which present the factors, strengths and weaknesses, opportunities and threats of the region. The priority areas for the development of the raw and non-resource sectors of the regional economy of the okrug were identified, strengthening its balanced and progressive development.

Economic Benefits of gender equality: comparing EU and BRICS countries

Introduction. In the modern economy the problems of scientific analysis shift the focus from the subject area of gender inequality to gender equality, and special significance is attached to assessing the impact of gender on the social welfare. At the same time, it is noted that developed and developing countries currently have differences in the quality and quantity of goals achieved to address the issue of gender equality. The aim of the article is to assess the economic benefits of gender equality for a group of countries in the European Union and BRICS. Materials and methods. Empirical analysis was based on the construction of regression econometric models that assess the impact on the welfare of the country (GDP) of gender equality in combination with basic macroeconomic factors. Fixed effects regression models have the best descriptive capacity for the EU and BRICS countries, which was verified by standard econometric tests. The information base of the study was made up of official statistics from the reports of the World Bank, the World Economic Forum, the International Monetary Fund, and the United Nations. Results and Discussion. As a result of the study, it was revealed that the level of gender equality has a positive effect on the economic development of both the EU countries and the BRICS; a comparison of the results of the constructed econometric models for groups of EU and BRICS countries showed that gender equality has a statistically significant impact on the economic development of countries in each group, and in the BRICS countries it is stronger, so with an increase in gender equality by one, GDP per capita increases by 3.4172 vs. 0.4647 in EU countries. The inclusion of key socio-economic indicators in the analysis made it possible to compare the obtained impact, and it was found that the degree of influence of the equality index is not lower than the degree of influence of basic economic indicators. That increases the importance of this problem both at the level of the country and international associations. The conclusions obtained based on the analysis of macro statistics confirmed the conclusions of the researchers based on microeconomic data. Conclusions. The results of this study are aimed at understanding the problems of gender equality, its impact on the economic well-being of society, both in an individual country and in the world economy as a whole, which can be taken into account in designing the policy of the state and companies that together ensure progress in the development of equality between men and women.

Трансформация экономики российских регионов в 2020-2022 гг. и возможности социально-экономического развития Донбасса в составе России

Subject/topic. The article is devoted to the processes of transformation of the economy of Russian regions, including the possibilities of socio-economic development of the territories that became part of the Russian Federation in 2022. The subject of the study is the main socio-economic indicators of the regions of the Russian Federation. Goals/objectives. Based on the analysis of the main socio-economic indicators of the constituent entities of the Russian Federation, to identify current trends in the development of the economy of the country and regions, as well as to determine promising opportunities for social and economic development and economic integration of new territories into a single economic system of the Russian Federation. Methodology. The methodological basis of the article was formed by such methods as analysis, deduction, as well as event, expert and statistical analysis. Results. The article analyzes the key socio-economic indicators of the subjects of the Russian Federation. Based on an expert analysis of the identified trends in socio-economic processes for the period from 2020 to 2022. and relevant scientific publications, the authors have identified the main directions of the transformation of the economy of Russian regions and formulated promising opportunities for the socio-economic development of the territories of Donbass as part of the Russian Federation. Conclusions/relevance. The novelty consists in conducting a comprehensive analysis of the socio-economic trends of the constituent entities of the Russian Federation in recent years and determining the actual opportunities for integration and development of new territories. As a result of the study, the main opportunities and limitations for the development of the territories of Donbass as part of Russia were formulated, taking into account the socio-economic processes within the country and possible changes in the geopolitical situation. Application. The results of the study can be applied in practice when making managerial decisions by officials of public authorities on the implementation of economic policy.