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Journal articles on the topic 'Socio-economic regions'

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Author: Grafiati

Published: 10 December 2022

Last updated: 29 January 2023

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1

Sermagambet, Umit, Zaira Satpayeva, Gulzhyhan Smagulova, Wieslaw Urban, and Raikul Yessenzhigitova. "Socio-economic inequality in Kazakhstani regions: Assessment and impact on regional development management." Problems and Perspectives in Management 20, no. 3 (September 29, 2022): 487–500. http://dx.doi.org/10.21511/ppm.20(3).2022.39.

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Excessive differentiation of socio-economic development of regions leads to the collapse of a single socio-economic space and the emergence of socio-economic inequality. This study assessed socio-economic inequality in Kazakhstan and its impact on regional development management. It analyzed interregional disproportion of socio-economic development of regions through the index approach using statistical data from the Bureau of National Statistics for 2011–2019. A comprehensive study of the socio-economic development of Kazakhstan and its regional differences employed the proposed index of social and economic development. It was revealed that Kazakhstan has a high level of interregional differentiation of socio-economic development, which indicates the existing socio-economic inequality, requiring the development of new and improvement of existing mechanisms to create an inclusive economy. There are significant gaps in socio-economic development between Kazakhstani regions. According to the proposed index, Kazakhstan is at the above-average level (42, B). From 2011 to 2019, the index was practically at the same level (39-42). The average social and economic development was shown by Almaty (61.1, B++), Nur-Sultan (59.9, B+), Karaganda (53.1, B+), and East Kazakhstan (51.0, B+). Low social and economic development was shown by Akmola (29.8, C+) and North Kazakhstan (22.4, C+). The difference in the socio-economic development of the regions is directly interconnected with the regional economic and social policy. According to the results, to implement state policy in inclusive development and overcome socio-economic inequality, respective measures should promote economic integration, including the mechanisms of regional, industrial, and research policy, comprising all levels of state regulation. AcknowledgmentsThis study is supported by the Ministry of Education and Science of the Republic of Kazakhstan within the project “The science impact on Kazakhstan’s socio-economic development: methodology, assessment models and development scenarios” (IRN AP08052745).

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2

Breński, Wiesław, and Adam Oleksiuk. "Socio-Economic Differentiation of Polish Regions." Olsztyn Economic Journal 3, no. 2 (December 1, 2008): 212–26. http://dx.doi.org/10.2478/v10021.008-0018-3.

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3

Šoltés, Viktor, Katarína Repková Štofková, and Milan Kutaj. "Socio-economic Analysis of Development of Regions." Global Journal of Business, Economics and Management: Current Issues 6, no. 2 (November 4, 2016): 171–78. http://dx.doi.org/10.18844/gjbem.v6i2.1382.

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The quality of life is affected by many factors, which can be combined according to the similar attributes into some dimensions. A major impact on quality of life has a feeling of security. The quality of life is directly related to the development of regions that can be examined through subjective and objective indicators as well as the security situation. The paper is going to deal with selected socio-economic indicators of regional development that directly affect the safety of citizens, and therefore their quality of life. There will be evaluated primary socio-economic indicators of regional development such as regional gross domestic product, the level of economic activity, the rate of regional employment and unemployment, the average regional wages. Trough comparison of the above indicators can be seen if the qualities of life in Slovak regions have been positive and what is the position of regions in terms of development. Keywords: Quality of life, regional development, regional disparities, socio-economic indicators;

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4

Dmochowska-Dudek, Karolina, and Marcin Wójcik. "Socio-Economic Resilience of Poland’s Lignite Regions." Energies 15, no. 14 (July 7, 2022): 4966. http://dx.doi.org/10.3390/en15144966.

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The article is seeking to analyse the coal transition in three Polish lignite regions as part of the scientific discussion on a just transition, which is a big challenge, especially in the regions and countries dependent on their own coal deposits as the main source of energy. Polish lignite mines are now entering the phase-out of coal, which results from implementing the assumptions of the Green Deal and the Paris climate agreement. The article answers the following question: what is the socio-economic resilience of coal regions in the context of the projected closure of mines in the coming years? The empirical analyses are based on secondary statistical data. The analysis and comparison of basic statistical data, i.e., the level of employment and lignite extraction in three lignite regions in the period from the end of the Second World War to 2017, allowed the authors to determine the phases of the adaptive cycle in which the individual regions are. In the second part of the study, the indicator evaluation method was used in order to calculate the Socio-Economic Resilience Index for individual areas (poviats) included in the coal regions, which made it possible to assess the current resilience and its intra-regional differentiation. The obtained results, which indicate that the regions under analysis are in different phases of the adaptive cycle and reveal their territorial heterogeneity, allow us to assume that the possibilities of a just energy transition of regions depend on the diversity of local conditions and resources, emphasising at the same time the territorial dimension of the issue of the energy transition.

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Volkova, Elena N., and Mikhail V. Karmanov. "SIMULATION OF SOCIO-ECONOMIC DEVELOPMENT OF REGIONS." Statistics and Economics, no. 3 (January 1, 2016): 55–59. http://dx.doi.org/10.21686/2500-3925-2016-3-55-59.

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6

Kukushkin, Sergey, Oleg Kalenov, and Raisa Kamanina. "Socio-Economic Indicators of Mining Regions Development." E3S Web of Conferences 278 (2021): 03033. http://dx.doi.org/10.1051/e3sconf/202127803033.

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The paper analyzes the dynamics of socio-economic indicators of the development of coal-mining regions of Russia. The aim of the study is to analyze the socio-economic situation of coal-mining regions and determine the factors that influenced the social processes in the region. Based on statistical data for the period from 2010 to 2019, there was conducted the analysis of changes in economic indicators such as: income of the population; gross regional product per capita; nominal average monthly wage; unemployment rate; the proportion of the population with incomes below the subsistence level; housing commissioning in the regions. Analysis of the data showed that the most favorable social position of all the analyzed coal-mining regions is observed in the Sakhalin region. The “outsiders” in terms of social status among the coal-mining regions are the Trans-Baikal Territory and the Kemerovo Region. Improvement of the social situation in coal-mining regions is associated with the adoption by the Russian Government of a program to combat poverty, an increase in social payments to certain categories of citizens, an indexation of old-age pensions, etc. It was also revealed that social processes in the regions are influenced by prices for hydrocarbons on the world market and objective economic phenomena such as business cycles.

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7

Semenova, Elena Ivanovna, and Igor Aleksandrovich Vankov. "ASSESSMENT OF SOCIO-ECONOMIC DEVELOPMENT OF REGIONS." Economy, labor, management in agriculture 2, no. 12 (December 1, 2021): 119–26. http://dx.doi.org/10.33938/21122-119.

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8

Filipiak, Beata Zofia, and Małgorzata Tarczyńska-Łuniewska. "Socio-Economic Potential of Regions – Theory and Practice." Folia Oeconomica Stetinensia 20, no. 1 (June 1, 2020): 95–116. http://dx.doi.org/10.2478/foli-2020-0006.

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AbstractResearch background: The paper refers to the social and economic potential of regions and their level of development. The crucial issue is not only how to measure the level of development but also their potential and what are the ways of defining this.Purpose: The principal aim of this paper is an analysis and evaluation of the social and economic potential of poviats of the West Pomeranian Province through the prism of their level of development.Research methodology: The measurements of the level of development were carried out using a synthetic measure of development. The level of poviats development was examined in aggregate for all specified factors and broken down into economic, socio-demographic, infrastructure and environmental protection factors. Data selection was made by using a factor analysis. As part of the study, a statistical analysis of potential factors was also carried out. The analysis refers to the following selected periods: 2008, 2014 and 2018 which allowed for an observation of phenomena over time in the investigated period. The research used the Central Statistical Office’s annual statistics for the specific districts.Results: The research results confirm the complexity of the study of the phenomenon of the level of socioeconomic development of LGUs, the large diversity of surveyed units regardless of the study period and their low level of development.Novelty: The novelty is that the analysis was conducted in stages, which allowed learning about the potential’s nature on the one hand and the factors forming it on the other.A material element of the research was also identifying possible directions for the use of the findings.

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9

Wiśniowska, Karolina, and Jakub Garncarz. "Socio-economic development of Polish regions and crime." Studia Administracji i Bezpieczeństwa 10, no. 10 (June 30, 2021): 113–22. http://dx.doi.org/10.5604/01.3001.0015.6331.

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The purpose of this study is to examine the relationship between the socio economic development of different regions of Poland and the number and structure of the most frequent crimes committed in them. The study clearly shows that crimes related to corruption and theft are most frequently committed in the richer regions of Poland, while the number of crimes related to damage to property decreased with the level of socio-economic development. Among the analyzed crimes, the highest correlation with macroeconomic variables was observed in the case of theft and corruption crimes; a particularly strong relationship was found between corruption and the level of GDP and wages, and between the number of thefts and the stock of housing and the level of GDP in the regions. Moreover, the structure and number of crimes in the poorest regions of Poland show many similarities, with five of the eight poorest regions in eastern Poland showing a relationship between the number and types of crimes.

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Naraliev, Tynybek Abdigaparovich, Omurbek Rakhmanalievich Imaraliev, and Bekzada Bakytbek kyzy. "SOCIO-ECONOMIC ANALYSIS OF PROCESSING ENTERPRISES IN REGIONS." Bulletin of Osh State University 2, no. 1 (2021): 76–87. http://dx.doi.org/10.52754/16947452_2021_2_1_76.

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11

Hryniv, Volodymyr. "ASSESSMENT OF SOCIO-ECONOMIC DEVELOPMENT OF REGIONS POTENTIAL." Ukrainian Journal of Applied Economics 6, no. 4 (November 26, 2021): 147–52. http://dx.doi.org/10.36887/2415-8453-2021-4-17.

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The article describes the results of a multidimensional comparative analysis of the socio-economic potential of the regions of Ukraine, both the strongest and weakest ones. The concept of research based on categories such as change and structure is used. The changes occurring in the structure of complex objects and systems are studied. These changes can affect the quantitative results, and thus increase or decrease certain characteristics of the object, as well as the qualitative aspect, i.e. the creation of new properties of the object. The process of socio-economic development is characterized by a lack of uniformity in space. Due to different conditions and changes in internal and external factors, development processes do not occur with the same intensity in each area. Thus, based on research, it is determined that in Ukraine there is uneven regional development, which is due to the high differentiation of economic activities and heterogeneity of the economic structure of the territories. All this justifies the need to improve the measures and levers of state regulation of regional development and create effective mechanisms to reduce its disparity. The results of the analysis of strengths and weaknesses of the region according to the proposed set of 26 indicators, grouped in the following modules: economic policy, labor and taxation, family and social policy, stimulating activity, are represented. Thus, the heterogeneity of regions is observed both in the development of a particular region and in comparison, with other regions of the country. Such inequality significantly affects the functioning of the state, the structure and efficiency of the economy and socio-economic policy. This leads to an increase in the number of depressed regions and the growth of interregional contradictions. Taxonomic analysis of spatial differentiation of the level of socio-economic development in Ukraine is used. Gaps in the socio-economic level of development in the regions were found for assessment based on multidimensional analysis. The analysis gives an accurate and deep idea of the socio-economic development of the regions. Keywords: socio-economic potential, regional development, economic development, spatial differentiation, heterogeneity of regional development, innovations.

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Giuca, Andreea, Dalila Stoica, Cristina Sterie, and Carmen Dobrota. "Socio-economic analysis of development regions in Romania." Western Balkan Journal of Agricultural Economics and Rural Development 4, no. 2 (2022): 169–81. http://dx.doi.org/10.5937/wbjae2202169g.

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Regional development is a priority objective of the EU. Reducing gaps and inequalities between European countries or regions requires coordinated efforts through a regional development policy. To make the implementation of regional political measures more efficient, the European territory was divided into regions according to certain territorial division criteria, NUTS. Considering this context, the paper aims to carry out a socioeconomic analysis at the regional level, using the Tempo Online statistical database of the National Institute of Statistics (INS). For this purpose, indicators were used regarding the labor force, the level of living and economic statistics of the development regions in Romania.

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13

Fedulova, Svitlana, Oleksandr Pivovarov, Veronika Khudolei, Vitalina Komirna, and Andrii Kalynovskyi. "Water infrastructure and economic security of regional socio-economic systems: evidence from Ukraine." Problems and Perspectives in Management 18, no. 2 (May 21, 2020): 166–79. http://dx.doi.org/10.21511/ppm.18(2).2020.15.

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The correlation between the development of a regional economy and the degree of infrastructural development of a country or its territory is a common practice. Considering this, the paper is aimed at studying the impact of water infrastructure on the economic security of regional socio-economic systems in order to develop a water security system for them. A variety of threats against key waterworks can seriously undermine the national economy and water security of regions and cities. Thus, the study analyzes the process of transformation of water infrastructure in the context of ensuring the economic security of regional socio-economic systems. It offers the definition of such categories as “water infrastructure” and “water security of a regional socio-economic system” to formulate a relevant economic policy in Ukraine based on world experience. The study proves the need to attribute water infrastructure to the critical infrastructure sectors of Ukraine and its regions, based on the best world practices in managing water resources and protecting the water infrastructure itself from technogenic, physical, and cyber-physical threats. According to the study results, conceptual bases for ensuring the economic security of regional socio-economic systems are developed, which differ in view of the water security system of the regional socio-economic system, giving priority to the engineering and technical infrastructure of a region.

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14

Fraymovich, Denis Yu, and Marina A. Gundorova. "Institutional conditions for socio-economic development in Russian regions." R-economy 4, no. 3 (2018): 5–12. http://dx.doi.org/10.15826/recon.2019.5.1.001.

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15

Gagiev, N. N., and A. A. Shestakova. "FORECASTING THE SOCIO-ECONOMIC DEVELOPMENT OF THE ARCTIC REGIONS." Вестник Алтайской академии экономики и права 1, no. 7 2021 (2021): 4–9. http://dx.doi.org/10.17513/vaael.1773.

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16

Kurilo, Anna E., and Pavel V. Druzhinin. "Socio-economic development scenarios of the White Sea regions." Север и рынок: формирование экономического порядка, no. 3-3021 (September 30, 2021): 52–69. http://dx.doi.org/10.37614/2220-802x.3.2021.73.004.

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In the process of creating a national system of strategic planning and within the framework of normative economics, the scenario approach provides opportunities for constructing goals and directions of socio-economic territories development. Being a planning tool the scenario approach allows forming the directions of regional development. These processes take particular relevance for the regions of our country that are the parts of the Arctic zone, especially in increased interest and attention to these territories resources from other external agents. The main aim of this paper is to elaborate development scenarios for the regions, which are fully or partially included in the Arctic zone and the White Sea catchment area. Based on the dynamics analysis of the main macroeconomic indicators and development trends for 1990–2019, the dependence of indicators for forecasting socio-environmental and economic development of these regions, was built. We applied scenario approach to describe possible development scenarios of Arctic regions in the White Sea catchment area. The novelty of the work is the construction of matrix of development scenarios of the Arctic regions, united by belonging to the White Sea catchment area. The analysis results of macroeconomic indicators for three elements of sustainable development show that the regions have rather weak economic development, stagnation of social indicators and difficult environmental situation. We outlined the problems constraining the development of Arctic regions in the White Sea catchment area and the directions to their solutions. To reach the trajectory of sustainable development is possible under condition of coordination and implementation of the measures taken by the state and regional authorities. This scenario of development strategy according to the innovation trajectory will allow to consolidate activity of federal, regional and municipal authorities of these territories. The integrated development program of the Arctic regions in the White Sea catchment area can be a coordinating platform.

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17

Czyż, Teresa. "Contemporary Determinants of the Development of Socio-Economic Regions." Quaestiones Geographicae 33, no. 2 (June 1, 2014): 51–61. http://dx.doi.org/10.2478/quageo-2014-0015.

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Abstract This article examines the effect on the development of socio-economic regions in Poland of contemporary external determinants considered at the European and the world scale. It consists of two parts. The first gives a description of the main general processes that are external determinants of regional development today: modernisation changes, globalisation, metropolitanisation, and European integration. Part two is empirical in character and seeks to find regional manifestations and effects of those determinants in Poland, and to establish how they influence regional income and spatial differences in its value.

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Kozyreva, Оlena, Rita Sagaidak-Nikituk, and Natalia Demchenko. "ANALYSIS OF THE SOCIO-ECONOMIC DEVELOPMENT OF UKRAINIAN REGIONS." Baltic Journal of Economic Studies 3, no. 2 (2017): 51–58. http://dx.doi.org/10.30525/2256-0742/2017-3-2-51-58.

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19

Sokolov, Aleksey Pavlovich. "MONITORING THE IMPLEMENTATION OF SOCIO-ECONOMIC DEVELOPMENT OF REGIONS." V mire nauchnykh otkrytiy, no. 11.12 (February 14, 2015): 5053. http://dx.doi.org/10.12731/wsd-2014-11.12-26.

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20

Gagarina, G. Y., E. I. Dzyuba, R. V. Gubarev, and F. S. Fayzullin. "Forecasting of Socio-Economic Development of the Russian Regions." Economy of Region 4 (November 2017): 1080–94. http://dx.doi.org/10.17059/2017-4-9.

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21

Dmitrieva, Yuliya N. "Socio-Economic Features of Labor Potential in Siberian Regions." Общество: социология, психология, педагогика, no. 12 (2022): 64–70. http://dx.doi.org/10.24158/spp.2022.12.9.

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22

Karaalp-Orhan, Hacer Simay. "Regional Disparities in Turkey: A Socio-Economic Perspective." European Journal of Sustainable Development 9, no. 3 (October 1, 2020): 103. http://dx.doi.org/10.14207/ejsd.2020.v9n3p103.

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Economic development, for any country, is one of the most important objectives to be achieved. However, development cannot be realized in all regions and provinces of a county at the same time and speed. Turkey also struggles against a persistent economic development problem among regions in east-west and coast-inland for many years. This study aims to analyze the regional inequalities in Turkey under the scope of economic, demographic and social indicators from 2007 to the latest data. The results indicate that TR-10 Istanbul is the engine region of Turkey in terms of industrialization and development with the highest contribution (31%) based on service and industry sectors, to the gross value added. Other industrialized regions are the Aegean region where localization economies mainly dominated and the East Marmara and TR51-Ankara regions where urbanization economies operated in. Agricultural activities heavily concentrated in Aegean, Antalya, Konya and Şanlıurfa regions. In these regions, participation in the labour market is also very high. However, the highest income inequality and poverty is also found in TR10, TR62 and TR21 regions. The less developed region is the Southeast Anatolian region in terms of low income, education, health and high unemployment, young population and immigration rates. Keywords: Regional disparities, regional development, socio-economic indicators, Turkey

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23

Пчела and A. Pchela. "Management priorities of social and economic development of the russian regions." Journal of Public and Municipal Administration 5, no. 2 (June 28, 2016): 51–54. http://dx.doi.org/10.12737/20540.

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The article discusses management priorities of socio-economic development of the regions of Russia in accordance with the Concept «Strategy of socio-economic development of the regions of the Russian Federation». The conclusion is made about the importance of the choice of effective management priorities of socio-economic development of the country regions in implementing the strategy of socio-economic development of its regions.

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24

Buchta, S., and Z. Štulrajter. "Divergence of some socio-economic indicators between rural and urban areas in Slovakia." Agricultural Economics (Zemědělská ekonomika) 53, No. 6 (January 7, 2008): 256–62. http://dx.doi.org/10.17221/985-agricecon.

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The article is dealing with the evaluation of socio-economic development in Slovakia from the point of view of urban and the rural regions in 1999−2005, based on analysis of regional socio-economic indicators. This development is characterised by deepening differentiation between the urban and rural districts in the demographic structure of population, employment, unemployment, level of wages and salaries and private enterprising activities. Demographic structure in the rural regions, compared to the urban regions, is characterised by the increase of the share of population in post-productive age, ageing index and the unfavourable index of economic burden. Employment in the rural regions decreased at a more rapid rate than in the urban regions. From the unemployment point of view, there are significant regional differences in the SR. The worst affected are the regions of Eastern and south of Central Slovakia which suffer from the underdeveloped economic infrastructure, lower level of education, bankruptcy of the dominant industrial employers and a large share of agrarian population, where impact of transformation measures was the most severe. Unemployment rate in the rural regions was 2.2 times higher than in the urban regions in 2005. Growth rate of average wages and salaries is slower in the rural regions compared to the urban ones and the average of the SR. In the period of 1999–2005, the level of average wages and salaries in the rural regions accounted for 62.4% of average wages and salaries in the urban regions, during which the time trend of increasing wage disparity was continuing all the time. The trend of utilisation of cheap labour force for short part-time jobs is evident, particularly in the rural regions, which is in contrast to the growth of the standard of living and sustainable development of underdeveloped regions. The differentiation of economic level between urban and the rural regions is expressed also in the share of entrepreneurial entities in economically active population which tells against the rural regions in spite of the diminished differentiation in this indicator in 1999–2005. The declining rate of growth in number of entrepreneurs in the urban regions is a consequence of the saturation of spatial and employment opportunities, while there is a substantially larger potential of acceleration of private enterprising in the rural regions. Continuation of this development leads to the socially unacceptable differentiation and undesirable development of dual economies in the country and that is why it is necessary to solve this issue as a priority within the framework of the strategy of economic development of the SR.

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25

Qineti, A., E. Matejková, M. Pietriková, R. Serenčeš, M. Tóth, and M. Dvořak. "Looking for the evidence of socio-economic convergence within the European Union." Agricultural Economics (Zemědělská ekonomika) 57, No. 8 (August 23, 2011): 384–93. http://dx.doi.org/10.17221/93/2011-agricecon.

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The purpose of this paper is to analyze the evidence and impact of the EU integration between 1999 and 2009 on the EU regional economic growth and the socio-economic convergence. A regional convergence analysis is performed in order to examine if the EU overall aim of convergence is reached. The main growth- and convergence theories are used as the theoretical framework and form the study's hypothesis. The results show that an absolute β-convergence exists between the EU member states as well as regions. However, the σ-convergence is not confirmed, meaning that that the disparities between the regions are rather increasing than decreasing. Perhaps a possible reason why the σ-convergence does not occur at the EU level is that it is easier for smaller regions which are more similar to each other to converge than for larger regions which tend to be more dissimilar to each other. This reasoning is in line with the convergence theories which state that smaller regions within a country are more likely to converge towards each other in the absolute sense than countries. On the other hand, the EU countries and regions tend to convergence in the tasks like unemployment rate, showing that they are not successful in resolving this difficult task. One of the main reasons of the high unemployment in all EU member states is their structural problem in the respective economies, consequently reflected in the long-term unemployment. The EU countries tend to convergence in terms of inequality as well, showing that they are egalitarian in character.

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Minakov, A. V. "ASSESSMENT OF RUSSIAN REGIONS SOCIO-ECONOMIC ASYMMETRY (BASED ON DATA FROM MOSCOW AND MOSCOW REGION, TULA AND YAROSLAVL REGIONS)." Scientific Review: Theory and Practice 10, no. 8 (August 31, 2020): 1657–70. http://dx.doi.org/10.35679/2226-0226-2020-10-8-1657-1670.

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The aim of the study, the results of which are presented in this article, was to study the socio-economic asymmetry of Russian regions. The relevance of the research topic lies in the fact that regional asymmetry in the system of socio-economic relations is considered as one of the main threats to the regional development of Russia. At the level of the federal state and its regions, certain territorial differences in the use of their resource potential can be traced, which leads to significant interregional and intraregional asymmetries in the levels of socio-economic development of territories. Among the priorities for minimizing the manifestations of regional development risks in modern conditions is the introduction of a new regional economic policy, the basis of which should be recognized the formation and activation of “growth points” and using effective tools that can reveal the potential of regions for creating the “multiplier effect” in the socio-economic development at the interregional level. Analyzing socio-economic indicators, the author was able to identify a general positive trend in the increase of the average monthly nominal wages, the volume of tax revenues, fees and other obligatory payments to the regional budgets, as well as the turnover of trade and the volume of paid services to the population in the previous year. The author proposes a refined concept of “asymmetry”, studies the causes and consequences of asymmetry in the socio-economic development of regions, and determines the indicators characterizing the inequality of regional development. The article provides a comparative analysis of the socio-economic development of individual regions of the Central Federal District; it gives recommendations for leveling the socio-economic development of Russian regions, which will allow the Government of the Russian Federation to reduce in the future the lag of economically less developed regions from more developed ones. These recommendations are: development of transport infrastructure, increasing the electricity and gasification of areas remote from the center of the country rich in minerals, a significant increase in the housing stock, through preferential mortgage lending with government support and in the development of agglomerations, calling in them, mainly, the Russian-speaking population from neighboring countries, by issuing passports and citizenship in a simplified procedure.

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Semenenko, Olena, and Oleksandr Havrylko. "Methodological approaches to the diagnostic socio-economic development of regions." University Economic Bulletin, no. 54 (September 27, 2022): 109–16. http://dx.doi.org/10.31470/2306-546x-2022-54-109-116.

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The article presents the model and methodology of diagnosis of socio-economic development of regions. The subject of the study is a set of theoretical and methodological principles and applied aspects of assessment (diagnosis) of the socio-economic development of a region. The purpose of the work is to justify the algorithm of diagnosis of socio-economic development of a region in order to create an optimal strategic plan of regional development. Methodological basis of the article. To achieve the goal and solve the tasks set in the research, a complex of general scientific and applied research methods was used: the method of system analysis, mathematical modeling, qualitative methods, methods of expert evaluation and analytical planning, the rating method, the method of complex weighted estimates, economic-mathematical and statistical methods. Study results. A structural model of diagnosis of socio-economic development of the region has been developed. The algorithm for monitoring the state of development of the region based on the integral indicator of socio-economic development is presented and substantiated. The theoretical provisions presented in the article made it possible to formulate proposals of a scientific and practical nature regarding the planning of strategies for the development of the region based on the diagnosis of the state of its socio-economic development. Conclusions. Formulated and substantiated theoretical provisions allow improving the process of diagnosis of socio-economic development of the region.

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MASTALERZ-KODZIS, Adrianna. "Quantitative analysis of the economic potential on the example of the Upper Silesian Metropolis." Scientific Papers of Silesian University of Technology. Organization and Management Series 2021, no. 150 (2021): 131–40. http://dx.doi.org/10.29119/1641-3466.2021.150.10.

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Purpose: The aim of the article is to show the modified method of calculating the economic potential on the example of territorial units of the Upper Silesian Metropolis. Design/methodology/approach: Economic potential is a measure of a region's strength compared to other regions. In economics, potential is a substitute for socio-economic development. The methodology of calculating the modified economic potential of territorial units was discussed in the first part of the article, and an empirical example is presented in the second part. Findings: As a result of the research, strong regions were identified and the self-potential of the regions and their surroundings were compared. Research limitations/implications: The proposed modified method of potentials can be used for a comparative analysis of any territorial units. The metric that is used to measure the distance between territorial units is important. Practical implications: On the basis of the presented method, any regions or countries can be compared in terms of socio-economic development. Social implications: The method makes it possible to compare the socio-economic development of regions in terms of income and population. Originality/value: The article compares selected communes of the Silesian Voivodeship in terms of income, population and socio-economic development. A modified measure of economic potential was used

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Sadibekova, Bibisara, and Shakhzod Ibragimov. "THE ROLE OF FREE ECONOMIC ZONES IN THE SOCIO-ECONOMIC DEVELOPMENT OF REGIONS." GEOGRAPHY: NATURE AND SOCIETY 1, no. 1 (January 30, 2020): 31–39. http://dx.doi.org/10.26739/2181-0843-2020-1-5.

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Batrakova, Ludmila G. "Regional inequality in the socio-economic development of Russia." Social And Political Researches 4, no. 13 (2021): 61–84. http://dx.doi.org/10.20323/2658-428x-2021-4-13-61-84.

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The topic of regional inequality in socio-economic development is becoming more relevant every year. Ensuring the uniform development of the Russian regions is complicated by the high degree of heterogeneity of the country's economic space, which is expressed in socio-economic inequality between the regions. Currently, there is a differentiation of the subjects of the Russian Federation by the sectoral structure of GRP, by the level and quality of life of the population, etc., there are imbalances in budget security. This leads to a decrease in the attractiveness and competitiveness of the regions and generally weakens the national economy. According to the World Bank, Russia ranks 3rd in the world in terms of regional inequality. Government documents indicate that the state's goal is to reduce the differentiation of socio-economic development in regions with a reduced standard of living by 2022. The spatial development of most economic entities is characterized by significant differences. Economists point out that interregional asymmetryarises due to competitive advantages and features of the institutional environment. Reducing the inequality of regional development is possible if the standard of living in the depressed regions of the Russian Federation is increased. An important area for assessing the differentiation of regions is the development of a system of indicators that assess regional inequality. The assessment of the role of the region in the production of GRP can be obtained by calculating localization indicators and relative position indices, the dynamics, variation and depth of regional inequality are characterized by dispersion coefficients, as well as the differentiation of the population of regions by income, the analysis of the uniformity of the distribution of regions can be obtained from the analysis of income concentration indicators. In general, it can be noted that regional inequality in the socio-economic development of Russia tends to increase.

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Akhmetzhanova, Liana R. "SOCIO-ECONOMIC POTENTIAL IN THE DEVELOPMENT OF THE REGIONAL ECONOMY." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 5, no. 11 (2021): 90–98. http://dx.doi.org/10.36871/ek.up.p.r.2021.11.05.013.

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In modern realities, the main direction of the Russian Federation is to increase the level of socio-economic development of the country and its regions. As a result, among the key principles for the implementation of the state policy of socio-economic development, the provision of socio-economic potential and the improvement of the level of competitiveness of regions in domestic and world markets highlighted. This paper examines the socio-economic potential in the development of the regional economy. The concept of "socio-economic potential of the region" clarified. The specificity of the regional socio-economic policy is considered. The existing methodological approaches for a comprehensive assessment of the socio-economic development of regions analyzed. In conclusion, the author proposes to expand these approaches in the basis of the characteristic features of the development and mastering of the territories of the regions of the Russian Federation.

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Barkhatov, Victor. "Instability of socio-economic and sustainable development of Ural regions." E3S Web of Conferences 258 (2021): 06020. http://dx.doi.org/10.1051/e3sconf/202125806020.

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Problems of development stability of regional economies are of particular importance in current conditions. The article presents the analysis of the sustainability of the development of Russian regions included in one of the most industrially developed federal districts - the Ural. The study used data from Rosstat for 2001-2019. The tendencies of the instability of indicators of socio-economic development of regions are revealed: gross regional product, investments in fixed assets, industrial production, and consumer prices. It has been established that the dynamics of the growth rates of these indicators are volatile. At the same time, all trends demonstrate a reasonably rapid recovery after the external shocks of 2008 and 2014. These indicators’ volatility was assessed using the variation coefficient in three different periods: 2001-2008, 2010-2014, and 2015-2019. The conclusion is made about the high instability of regional socio-economic development, while the level of instability in regions with a lower level of development turned out to be higher than in more developed ones. Particular attention is paid to trends in the level of instability, and it is noted that over time, less developed regions increase instability at a faster pace.

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Buzko, I. R., and O. O. Zelenko. "Socio-economic development of Ukrainian regions: safety and social dialogue." Economic scope, no. 132 (April 24, 2018): 50–60. http://dx.doi.org/10.30838/p.es.2224.240418.50.50.

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34

Bezdenezhnykh, T. I., and M. M. Makenov. "Socio-economic development of the Russian regions: Problems and solutions." Региональная экономика: теория и практика 15, no. 3 (March 15, 2017): 541–52. http://dx.doi.org/10.24891/re.15.3.541.

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Fedorov, G. M. "Socio-economic differentiation of the regions of Russia’s Western borderland." Regional'nye issledovaniya, no. 4 (2019): 2019. http://dx.doi.org/10.5922/1994-5280-2019-4-5.

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Russia’s western borderlands comprise seventeen constituent entities of the Russian Federation, located along its western land and maritime border. Ten of them were border regions before the demise of the USSR; they belonged to the so-called group of «Old borderlands». The remaining seven are part of «the New borderlands». They are located along the land border with Estonia, Latvia, Belarus and Ukraine. In the “Spatial Development Strategy of the Russian Federation for the period up to 2025” all of them are regarded as geostrategic territories, which require special attention to ensure their economic security. The border location affects their socio-economic development, which largely depends on the ratio of the contact and barrier functions of the borders between Russia and its neighbouring countries. Border regions differ significantly in their natural conditions, the level of economic and social development, their sectoral structure, economic growth rates, the quality of life and migration flows. Using a set of indicators, reflecting the above characteristics, five types of regions and four subtypes have been identified. Even though there are some features common for all regions of Russia’s western borderlands, each of them requires a separate approach to the implementation of the federal policy and the justification of its development strategy.

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WANG, Yong, Hong-lang XIAO, Yu-feng TONG, Rui-fang WANG, Song-bing ZOU, and Ming-feng LU. "Preliminary Study on Socio-economic Water Cycle at Arid Regions." Arid Zone Research 26, no. 4 (April 15, 2010): 477–82. http://dx.doi.org/10.3724/sp.j.1148.2009.00477.

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Kubiczek, Jakub, and Martyna Bieleń. "The level of socio-economic development of regions in Poland." Wiadomości Statystyczne. The Polish Statistician 66, no. 11 (November 30, 2021): 27–47. http://dx.doi.org/10.5604/01.3001.0015.5130.

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The development of regions within one country is an uneven process. States seek to reduce internal inequalities between particular regions through the implementation of appropriate economic policies, as is the case of Poland. The aim of the study is to evaluate the level of socio-economic development of regions in Poland (voivodships) in the years 2013– 2019. For this purpose, a taxonomic analysis based on Hellwig’s development measure was conducted and the Euclidean distance was applied to assess the difference between the obtained pattern and particular voivodships. On the basis of data provided by the Local Data Bank of Statistics Poland and through linear ordering, two rankings of voivodships were created: one reflecting their socio-economic development excluding environmental protection aspects and the other focusing solely on the issue of environmental protection. Low values of the coefficient of variation relating to a part of the analysed variables indicated that the development level of voivodships in the analysed period is in many respects very similar. The variables crucial for determining the differences between voivodships show that Mazowieckie Voivodship occupies high positions in both rankings (and is the leader in the ranking of socio-economic development excluding environmental protection aspects), while Warmińsko-Mazurskie Voivodship is characterised by a low level of development illustrated by both rankings.

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Barkhatov, V. I. "Development Trends of Socio-Economic Systems of Regions (Core-Periphery)." Bulletin of Chelyabinsk State University, no. 12 (2021): 35–52. http://dx.doi.org/10.47475/1994-2796-2021-11205.

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Lapshyn, V. I., and V. M. Kuznichenko. "ESTIMATION OF THE SOCIO–ECONOMIC STATE OF REGIONS OF UKRAINE." Financial and credit activity: problems of theory and practice 1, no. 22 (June 30, 2017): 388–95. http://dx.doi.org/10.18371/fcaptp.v1i22.109902.

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Oborin, M. S. "Socio-economic problems of agricultural development in the Russian regions." Vestnik of the Mari State University. Chapter “Agriculture. Economics” 5, no. 3 (2019): 349–57. http://dx.doi.org/10.30914/2411-9687-2019-5-3-349-357.

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Czyżycki, Rafał. "DETERMINANTS THE SOCIO-ECONOMIC DEVELOPMENT OF THE REGIONS IN POLAND." Ekonomiczne Problemy Usług 131 (2018): 99–108. http://dx.doi.org/10.18276/epu.2018.131/1-10.

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Lisova, E. V. "Impact of COVID-19 on socio-economic activity of regions." Entrepreneur’s Guide 13, no. 2 (May 1, 2020): 119–25. http://dx.doi.org/10.24182/2073-9885-2020-13-2-119-125.

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The article analyzes the impact of the COVID–19 virus on social and economic processes. Its influence on the world, Russian economy and regional economy of the Russian Federation is analyzed. Measures of state support for social and economic spheres are described. The characteristic of losses from the pandemic is given in relation to the sectors of the economy. The conclusion is made about the significant role of regional authorities in the fight against the consequences of coronavirus.

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Filimonova, I. V., L. V. Eder, A. V. Komarova, I. V. Provornaya, and V. Yu Nemov. "Resource regions of Russia: socio-economic indicators and innovative development." IOP Conference Series: Earth and Environmental Science 206 (November 27, 2018): 012020. http://dx.doi.org/10.1088/1755-1315/206/1/012020.

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HARMSE, A. C. "SOCIO-ECONOMIC DEVELOPMENT REGIONS IN THE SOUTH AFRICAN SPACE ECONOMY." South African Geographical Journal 89, no. 1 (March 2007): 83–89. http://dx.doi.org/10.1080/03736245.2007.9713875.

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45

Vasenev, S. L. "BALANCE OF DIGITALIZATION OF SOCIO-ECONOMIC SYSTEMS OF RUSSIAN REGIONS." Фундаментальные исследования (Fundamental research) 2, no. 10 2022 (2022): 165–70. http://dx.doi.org/10.17513/fr.43361.

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46

Vladimirova, Alena Alekseevna, and Natalia Vyacheslavovna Proskurina. "STATISTICAL ANALYSIS OF THE SOCIO-ECONOMIC DEVELOPMENT OF RUSSIAN REGIONS." Наука XXI века: актуальные направления развития, no. 2-2 (2021): 73–77. http://dx.doi.org/10.46554/sciencexxi-2021.10-2.2-pp.73.

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47

Miłek, Dorota, and Paweł R. Kozubek. "The spatial diversity of socio-economic development in Ukraine." Scientific Papers of Silesian University of Technology. Organization and Management Series 2022, no. 162 (2022): 455–71. http://dx.doi.org/10.29119/1641-3466.2022.162.25.

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Purpose: The processes of socio-economic development always take place in a specific space and are not uniform. The modern conditions of regional development vary a lot with regard to the socio-economic development of the particular territorial entities. This is also true for Ukraine, the subject of this study and a current candidate for the European Union. This paper will assess the diversity of socio-economic development of the Ukrainian regions in 2020 and rank these entities according to the level of their development. Methodology: Z. Hellwig’s method of development pattern, which helps to order the regions in terms of their development, is applied to the evaluation of socio-economic development of the Ukrainian entities. The indicators adopted are systematised by the following areas: Demographics and job market, Structure of regional economies, Innovation, research and development activities, Technical infrastructure, Social infrastructure, and Condition and protection of the natural environment. Findings: The analysis helps to identify the levels of socio-economic development of Ukrainian regions and the region groups of the highest, high, low, and very low standards of development. The results suggest a great diversity of socio-economic development of these regions. Dnipropetrovsk, Zaporizhzhya, and Kharkiv experience the maximum, while Donetsk and Luhansk the minimum levels of development. Research limitations/implications: The data published by the State Statistics Service of Ukraine for 2020 are used, excluding those for the temporarily occupied area of the Autonomous Republic of Crimea, the city of Sevastopol, and parts of the temporarily occupied areas of Donetsk and Luhansk regions. Further comparative research should estimate the effects of the changes on socio-economic development following the end of the Russian Federation’s aggression against Ukraine. Continuing studies may also identify factors with a decisive impact on the regions’ attribution to the particular groupings. Social implications: The evaluation of the regional development levels may provide foundations for some strategies of socio-economic development, an explication of causes of regional variations, and a determination of potential for and ways of levelling down the existing inequalities. The diversity of development of the individual Ukrainian regions is important to its status of a candidate to the EU, granted on 23 June 2022. In connection with a closer cooperation between Ukraine and the EU, the results can provide knowledge about where to channel the EU funding aimed at the socio-economic development of the particular regions. Originality/value: The determination of the diversity of socio-economic development and positioning of the Ukrainian regions in this respect. The study can also be seen as a contribution to the existing research and serve the purpose of comparative analysis. Keywords: region; regional development; regional diversity; socio-economic development of regions; Hellwig’s method. Category of the paper: research paper.

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Balash, O. S. "Convergence Spatial Analysis of Russia’s Regions." Izvestiya of Saratov University. Economics. Management. Law 12, no. 4 (2012): 45–52. http://dx.doi.org/10.18500/1994-2540-2012-12-4-45-52.

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Krivenko, N. V. "Directions of eliminating threats to the socio-economic development of regions." National Interests: Priorities and Security 16, no. 7 (July 16, 2020): 1384–400. http://dx.doi.org/10.24891/ni.16.7.1384.

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Subject. I devise a system approach to identifying and evaluating threats in ensuring the economic security of regions. Objectives. The study focuses on threats to the socio-economic development of regions in difficult geopolitical situations and determines how they can be eliminated. IT is important to determine key threats to the socio-economic development and the way they can be eliminated regionally. Methods. The article employs the multilevel and integrated approaches, a set of methods, such as systems, comparative and structural analyses, road mapping. Results. The article sets forth a road map for eliminating threats to the socio-economic development of regions, metrics to monitor the current situation and identify threats. I analyzed the socio-economic development of regions in the Ural Federal District and pinpointed the main threats. I conducted the comparative analysis of indicators to monitor the socio-economic development of regions, illustrative the cases of the Russian Federation, Ural Federal District, Sverdlovsk Oblast for 2018 year-on-year. The Ural Federal District and Sverdlovsk Oblast were found to exceed Russia’s average indicators in terms of directions of eliminating threats. It is indicative of opportunities to effectively employ the high production capacity of the old industrial region. Conclusions and Relevance. To settle directions of the socio-economic development of regions, economic agents should consider the elimination of threats, such as the new industrialization, comprehensive integration of innovation throughout economic sectors, import substitution, integration of production and social sector. The findings can be used by constituent entities of the Russian Federation to comprehensively assess the socio-economic development of regions, discover the main threats, and choose what should be done to eliminate them.

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Bruneckiene, Jurgita, Irena Pekarskiene, Oksana Palekiene, and Zaneta Simanaviciene. "An Assessment of Socio-Economic Systems’ Resilience to Economic Shocks: The Case of Lithuanian Regions." Sustainability 11, no. 3 (January 22, 2019): 566. http://dx.doi.org/10.3390/su11030566.

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Various socio-economic systems (countries, regions, or cities) and their economies suffer different kinds of economic shocks. If the system is not resilient, its economy can incur losses. Only the systems whose economies are less vulnerable and/or are able to recover from the economic shock quite quickly are able to ensure economic sustainability, competitiveness, and welfare both now and in the future. The concepts of socio-economic systems’ resilience to economic shocks, vulnerability, and recovery, as well as the resilience assessment peculiarities, are all analyzed in this article. The methodology introduced for the assessment of a socio-economic system’s resilience to economic shocks consists of two parts: a model of a system’s resilience to the economic shock’s capacity-related factors (Resilio) and an index of a socio-economic system’s resilience to the economic shocks (Resindicis). The Resilio model could be used as a universal methodological framework for analyzing the resilience of socio-economic systems of different levels (countries, regions, or cities). The set of quantitative indicators compiling Resindicis should be adjusted to the specifics of each socio-economic system and the availability of statistical data. Empirically, the methodology was validated on the example of 10 Lithuanian regions (counties). The methodological principles for the assessment of a socio-economic system’s resilience are also provided. The main advantages and drawbacks of the methodology are discussed in order for further development and an increase in its practical application.

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