Indicators Of Socio-economic Development Research Articles

Socio-economic development of countries based on the Composite Country Development Index (CCDI)

World experience indicates the existence of significant imbalances in the development of countries. The problem of assessing the rational development of the regional and national economy is becoming urgent, since such assessments can prevent development imbalances across countries. The aim of this study is to elaborate a methodology to assess the countries’ socio-economic development by integraring 12 modern indices of socio-economic development into the Composite Country Development Index (CCDI). The methodology of this research was based on a set of key indices that described socio-economic development level in four fields (social development, digital development, economic development, and environmental security) and then these indices were integrated into the CCDI. The study further applied factor analysis and R-Studio software to define the gaps of social and economic development in 59 selected countries using the trigonometric function of the angle sine. The correlation analysis confirmed the existence of a close interrelation among the studied countries. This paper noted that due to the emergence of new priorities, it is necessary to revise the assessment methodology of socio-economic development level and expand them to cover the decisive factors. This was confirmed by the results obtained, demonstrating various combinations of the development level in the four fields and their impact on the CCDI. The scientific contribution of this research is to form a methodology (e.g., the CCDI) for evaluating the socio-economic development level of countries in the world.

IDENTIFICATION AND FORECASTING MODELS OF COUNTRIES DIGITALIZATION STATUS IN WORLD SPACE

The article is devoted to development issues of identification and forecasting models of countries digitalization status in world space. The problems and prospects of countries digitization are becoming relevant at the current stage of the technological sphere development of mankind was proved. Digitization is becoming the most important factor in the economic growth of any country and is generally a modern trend in its development. Untimely elimination of digitalization problems can cause negative consequences in the scale of the entire country's economy. Therefore, the prospects of the digital development of countries and the corresponding models of identification and forecasting of their digitalization status require special research. It will reveal the factors of digital growth. In addition, the work shows that the justification based on the system approach and assessment of the sustainable digital development of countries using modern methods of system analysis and multidimensional analysis Data Science, as one of the most effective in performing mathematical modeling of the researched processes status, has not received sufficient development in scientific works and needs further development. Therefore, the purpose of the article is to improve the complex of mathematical models for estimation and analyzing countries digitalization status in world, which, unlike others, will be built on the basis of intellectual analysis methods of multidimensional objects. Based on the set purpose, the distribution of the world countries by clusters on the basis of spatial and dynamic data sampling is carried out and analyzed in the article. Using the methods of multidimensional analysis and Data Science, the positioning of Ukraine in relation to the countries of the world was found. It has been established that Ukraine belongs to the countries with an average status of digitization and at the same time below average rates of socio-economic development. In order to predict the status of countries digitization, experiments were conducted on the construction of various types of classification tree models and the best model was obtained. A detailed analysis of the links between the set of digitalization and countries socio-economic development indices allowed us to come to a conclusion about the high level of their mutual influence and the importance of forming a system of measures in these directions to ensure the proper level of country digital development. Keywords: model, classification trees, forecasting, digitalization, indicators of digitalization, telecommunication development.

Optimization of the Management System for the Implementation of National Projects in the Region According to the Criterion of Returning to a Given Target Program

Purpose of research. The purpose of the study is to formalize one of the optimization criteria in the management system for the implementation of National development projects in the region of the Russian Federation.Methods. The methods of system analysis and decision-making were used in the study, which made it possible to determine such an optimization criterion in the management system for the implementation of National development projects in the Russian Federation region as the ability to return to the original target program for the implementation of National projects in the regions of the Russian Federation, determined by the reaction to an error at the end of the transition process.Results. An optimization criterion has been developed that determines the ability of the management system for the implementation of National development projects in the region to return to the specified target program for the implementation of National projects in the regions of the Russian Federation. Identification of the prevalence, or excess of error, in the dynamics of indicators of National projects of the Russian Federation will allow for timely adjustment of management decisions taking into account the time factor.Conclusion. The obtained optimization criterion in the management system for the implementation of National development projects of the Russian Federation region will further determine the optimization task - the search for a controlling influence on the system of indicators of socio-economic development of the region in the context of the implementation of National projects of the Russian Federation.

Banks Ownership and Development Indicators Prior to the COVID-19 Pandemic. A Comparative Study

Theoretical background: The role of banks in the economy has attracted scientific interest for many centuries now. Generally speaking, the relationship between financial development and economic growth has been widely discussed. Many studies investigated the links between the development of the financial sector and a given country’s social and economic growth using econometric methods such as cross-section, time series, panel data, company-level, industry-level and country level. The banking sector is an integral part of the economy and plays a key role in its development. Purpose of the article: The ownership status of financial institutions is not neutral for themselves or for their clients. The research problem deals with analysing the impact of ownership changes in the banking and insurance sector on the economic and social development of selected countries, especially in Poland, measured with basic macroeconomic indicators. The article attempts to verify the hypothesis that the ownership structure in banking and insurance institutions has, contemporarily, no significant impact on the socio-economic development indicators, provided that these institutions are guided by business- rather than policy-based criteria in their decision making process. Research methods: Both qualitative and quantitative research was used to empirically verify the hypotheses in question. Qualitative research is based on descriptive analysis while quantitative research will include statistical information systemization method, based on statistical source data analysis, and static dependence methodology, including fixed effects and random effects panel models. Main findings: Literature studies and research show that moderation and pragmatism are needed in the financial sectors of EU countries, including Poland. We need both public (including state-owned) financial institutions (banks and insurers) and those controlled by private capital. It seems that today it would be difficult to accept that the entire financial sector of a given country would be taken over by public institutions – state-owned companies, and the omnipotence of private institutions would also be problematic. The main issue is proportions: instead of the exclusivity of one or the other form of ownership, one has to seek an intelligent balance between them (“this and that” instead of “either-or”).

Social and Spatial Equity/Equality in Relation to High-Speed Trains: Lessons from Turkey’s High-Speed Train Experience

In the twentieth century, high-speed trains (HSTs) were added to the choice of transportation modes in Japan and Europe, and in the twenty-first century HST networks in developing countries have been advanced. It is planned to enhance these networks further in the future. Developing countries are characterized by income inequalities and, thus, it is important to find out who uses HSTs. If they are only viable in the wealthiest regions, then this mode of transportation will induce spatial inequity. If HST travel is too expensive, then HSTs will induce social inequity. Numerous studies have explored the relationship between HSTs and equity, but they have mostly covered economically developed countries, with only a few studies being carried out in economically developing countries apart from China. As such, the aim of this article is to fill the gap in the literature by analyzing the case of Turkey’s HSTs. The study presents a review of the literature pertaining to HSTs and the issue of equity, then uses Turkey’s socioeconomic development index to make comparisons of HST service accessibility according to different social groups, ages, and occupations. Ticket price and accessibility indicators are used to work out how HSTs can be a tool for reducing accessibility inequalities. The results indicate that HSTs do not necessarily reinforce the existing accessibility inequalities in Turkey, but can be a tool for improving equity in three ways: their ticket pricing policy; their considerable range, in that they serve numerous cities all over the country; and the way they are used in relation to different groups.

Global prevalence of needle stick injuries among nurses: Acomprehensive systematic review and meta-analysis.

Nurses usually provide direct patient care. However, they account for the majority of healthcare workers (HCWs) injured by needles or other sharp objects. To assess the prevalence of needle stick injuries (NSI) among nurses worldwide; according to WHO regions, the socioeconomic development index (SDI) of countries, and the developmental status of individual countries, and in the Middle East. Systematic review and meta-analysis. We searched PubMed, Scopus, and Web of Science databases. We calculated the pooled NSI prevalence estimates using a random-effect meta-analysis with the Comprehensive Meta-Analysis software. The report of the study was in accordance with the PRISMA 2020 statement. The overall worldwide NSI prevalence pooled from our analysis was 40.97% (95% confidence interval [CI]: 31.29-50.63%, p=.00001). A subgroup analysis of NSI prevalence according to WHO regions revealed the highest prevalence in Southeast Asia (49.9%, 95% CI: [23.4-76.3%]) and the lowest in the United States of America (25.1%, 95% CI: [18.1-32.1%]), respectively. The pooled prevalence in developed and developing countries was 30.5% (95% CI: 27.3-33.8%) and 46.6% (95% CI: 33.7-59.5%), respectively. According to the SDI, NSI prevalence was highest in low-middle SDI countries (48.9% [95% CI: 30.7-67.2%]). Our results showed a high NSI prevalence among nurses worldwide. Developing countries had a significantly higher NSI prevalence than developed countries, especially low-middle SDI countries. This study highlighted the prevalence of NSI risk among nurses practising in clinical settings worldwide. The study findings suggest that continuous training programs should be implemented for nurses to enhance their knowledge, performance and attitude toward NSI prevention in clinical settings. Contributions from patients or the public are irrelevant because the purpose of this study was to examine the global prevalence of NSIs in nurses.

Vat refund as an indicator of socio-economic development of the region (by the example of the Amur Region)

The article discusses the National Program of socio-economic development of the Far East, special attention is paid to the socio-economic development of the Amur region. The dynamics of the gross regional product and investments in fixed assets in the Amur Region, the Far Eastern Federal District and the Russian Federation as a whole are analyzed. An assessment of the scale and productivity of the development of the regional economy was carried out, trends and prospects for further development of the macroregion were determined. The analysis of value added tax receipts from the Amur region to the consolidated budget of the Russian Federation was carried out and the main reasons for the decrease in VAT receipts were determined. The negative dynamics of VAT is associated with a fairly extensive construction activity in the Amur region, since the construction of even relatively small facilities requires the purchase of a significant amount of expensive construction materials and equipment. A significant contribution to the negative dynamics of VAT is made by the activities of gold mining companies in the region, since the extraction of precious metals is subject to a zero VAT rate. A forecast of VAT receipts for the next 5 years has been developed. The factors that can affect the socio-economic development of the Far Eastern Federal District, reduce GRP, reduce investments and financing volumes are identified. It is concluded that the macro-region needs to rely on its own resource potential: practice shows that it is not always possible to count on the financial support of the federal center. The Far Eastern Federal District has its own competitive advantages and a large number of resources for independent socio-economic development.

Socio-economic development drives solid waste management performance in cities: A global analysis using machine learning

Mismanaged municipal solid waste (MSW), the major source of plastics pollution and a key contributor to climate forcing, in Global South cities poses public health and environmental problems. This study analyses the first consistent and quality assured dataset available for cities distributed worldwide, featuring a comprehensive set of solid waste management performance indicators (Wasteaware Cities Benchmark Indicators – WABI). Machine learning (multivariate random forest) and univariate non-linear regression are applied, identifying best-fit converging models for a broad range of explanatory socioeconomic variables. These proxies describe in a variety of ways generic levels of progress, such as Gross Domestic Product – Purchasing Power per capita, Social Progress Index (SPI) and Corruption Perceptions Index. Specifically, the research tests and quantitatively confirms a long-standing, yet unverified, hypothesis: that variability in cities' performance on MSW can be accounted for by socioeconomic development indices. The results provide a baseline for measuring progress as cities report MSW performance for the sustainable development goal SDG11.6.1 indicator: median rates of controlled recovery and disposal are approximately at 45 % for cities in low-income countries, 75 % in lower-middle, and 100 % for both upper-middle and high-income. Casting light on aspects beyond the SDG metric, on the quality of MSW-related services, show that improvements in service quality often lag improvements in service coverage. Overall, the findings suggest that progress in collection coverage, and controlled recovery and disposal has already taken place in low- and middle-income cities. However, if cities aspire to perform better on MSW management than would have been anticipated by the average socioeconomic development in their country, they should identify ways to overcome systemic underlying failures associated with that socioeconomic level. Most alarmingly, ‘business as usual’ development would substantially increase their waste generation per capita unless new policies are found to promote decoupling.

Динамическая модель для прогнозирования показателей качества жизни в регионе

An approach to assessing and forecasting indicators of the quality of life of the population in the region based on the concept of system dynamics is presented. A mathematical model has been developed, which is a system of non-linear, non-homogeneous, different-tempo differential equations, which include system variables and external factors. A digraph of causal relationships between system variables and external factors is constructed. As system variables, the model uses indicators of socio-economic development of the region: gross regional product, life expectancy at birth, population size, per capita per capita income, registered unemployment rate, birth rate, share of the population with income below the subsistence level, the weight of organizations using personal computers. The choice of external factors and functional dependencies in the developed model is substantiated. The adequacy of the developed mathematical model was checked using retrospective data and the calculation of the relative error. The interface of the author’s software application “Prognoz_2”, developed in the GUIDE MatLab environment, used to conduct computational experiments, is presented. An example of the practical implementation of the developed approach to assessing the quality of life in the Saratov and Samara regions is considered. The results of the computational experiment on the analysis and prediction of the quality of life on the time interval [2022;2026] years within the framework of the implementation of three scenarios are shown. The values of system variables in 2021 normalized relative to 2010 were used as initial conditions for the calculations. The developed software can be used to form scenarios for the socio-economic development of the region. Models and algorithms can be used as part of an information-advising system for making decisions at various levels of management.

Using Machine Learning Methods to Predict Consumer Confidence from Search Engine Data

The consumer confidence index is a leading indicator of regional socioeconomic development. Forecasting research on it helps to grasp the future economic trends and consumption trends of regional development in advance. The data contained on the Internet in the era of big data can truly and timely reflect the current economic trends. This paper constructs a conceptual framework for the relationship between the consumer confidence index and web search keywords. It employed six machine learning and deep learning models: the BP neural network, the convolutional neural network, support vector regression, random forest, the ELMAN neural network, and the extreme learning machine to predict the consumer confidence index. The study shows that the use of machine learning models has a better prediction effect on the consumer confidence index. Compared with other models, the BP neural network and the convolutional neural network have lower error indicators and higher model accuracy, which helps decision-makers forecast the consumer confidence index. Consumers search for various goods and prices, as well as macroeconomics, to understand the economic conditions of the market, which affects the consumer confidence index and consumption decisions. Therefore, web search data can be used to predict consumer confidence. Future research can be extended to other macro indicator-related prediction studies. It is important to promote market consumption and confidence, improve consumption policies, and promote national prosperity.

Financing and lending of agriculture in accordance with the parameters of the Republican budget

The article examines the main parameters of the republican budget for 2020-2022,which were approved in December 2019, in conjunction with the forecast indicators of socioeconomic development of Kazakhstan for 2020-2024, taking into account the updated forecast ofmacroeconomic indicators for 2020. It was revealed that the need to clarify the forecast budgetindicators is caused by the current deterioration of the economic situation both within the countryand abroad due to the global crisis associated with the massive spread of the coronavirus pandemic.It was noted that the main factors for clarifying the forecast budget indicators are the unstableexternal economic situation, the outlined global recession and the slowdown in business activityagainst the background of protective measures to prevent the spread of coronavirus.The issues of the formation of the republican budget based on the basic scenario of the country’seconomic development are considered. The goal, objectives, principles and key priorities of thestate’s socio-economic policy are stated, highlighting the priorities of fiscal policy in the mediumterm.A sufficiently detailed comparative characteristic of the volume and structure of income sources ofthe republican budget with the allocation of the most significant receipts in the structure of incomeas tax receipts and transfers has been studied and presented. Considered and comparativelyanalyzed the volumes, structure and main directions of financing and budget lending of the costsof the republican budget in the context of all functional groups of the budget. It is considered inmore detail with the allocation of the main budget programs financing of agriculture and relatedindustries.An attempt is made to assess the possibility of implementing the state program for the developmentof the agricultural sector based on studying the relationship between dynamic changes in theformation of budget revenues and expenditures in the context of their functional groups.

Dalit Discrimination in Higher Education: A Malady Without Remedies

Education is one of the most potential variables and relates to different indicators of socio-economic development. Going beyond the campaign for universal literacy, which is otherwise supported by constitutional and statutory provisions, the article seeks to explore the presence as well as the dominance of Scheduled Castes (SC) in Higher Education and gets into the paradoxes of social and bureaucratic structures that facilitate or impede SC entry to and continue with higher education. At this juncture, it seems to be imperative to search for an alignment between constitutional mandates on one hand and social and bureaucratic constraints on the other. Moreover, the relevant methodological framework has been adopted to put facts and figures into perspective, to identify the reason for their slow progress in higher education and to locate the reasons why the reservation policy failed to assist them as per the expectations of the founding fathers of the constitution.

Prevalence and risk predictors of childhood stunting in Bangladesh.

The child nutritional status of a country is a potential indicator of socioeconomic development. Child malnutrition is still the leading cause of severe health and welfare problems across Bangladesh. The most prevalent form of child malnutrition, stunting, is a serious public health issue in many low and middle-income countries. This study aimed to investigate the heterogeneous effect of some child, maternal, household, and health-related predictors, along with the quantiles of the conditional distribution of Z-score for height-for-age (HAZ) of under five children in Bangladesh. In this study, a sample of 8,321 children under five years of age was studied from BDHS-2017-18. The chi-square test was mainly used to identify the significant predictors of the HAZ score and sequential quantile regression was used to estimate the heterogeneous effect of the significant predictors at different quantiles of the conditional HAZ distribution. The findings revealed that female children were significantly shorter than their male counterparts except at the 75th quantile. It was also discovered that children aged 7-47 months were disadvantaged, but children aged 48-59 months were advantaged in terms of height over children aged 6 months or younger. Moreover, children with a higher birth order had significantly lower HAZ scores than 1st birth order children. In addition, home delivery, the duration of breastfeeding, and the BCG vaccine and vitamin A received status were found to have varied significant negative associations with the HAZ score. As well, seven or fewer antenatal care visits was negatively associated with the HAZ score, but more than seven antenatal care visits was positively associated with the HAZ score. Additionally, children who lived in urban areas and whose mothers were over 18 years and either normal weight or overweight had a significant height advantage. Furthermore, parental secondary or higher education had a significant positive but varied effect across the conditional HAZ distribution, except for the mother's education, at the 50th quantile. Children from wealthier families were also around 0.30 standard deviations (SD) taller than those from the poorest families. Religion also had a significant relationship with the conditional HAZ distribution in favor of non-Muslim children. To enhance children's nutritional levels, intervention measures should be designed considering the estimated heterogeneous effect of the risk factors. This would accelerate the progress towards achieving the targets of Sustainable Development Goals (SDGs) related to child and maternal health in Bangladesh by 2030.

On the relationship of economic complexity indices and indicators of socio-economic development

The comparison of the indices of economic complexity of regions based on data on production volumes by sector and the indices based on data on types of economic activity is carried out. The possibility of choosing the threshold value of the indicator of the identified comparative advantages RCA for assessing economic complexity, as well as for assessing the relationship of economic complexity indices and indicators of socio-economic development is analyzed. The possibility of choosing the threshold value of the indicator of the identified comparative advantages of RCA for assessing economic complexity, as well as for assessing the relationship of economic complexity indices and indicators of socio-economic development is analyzed. It is shown that at threshold 1, the index of economic complexity by sector and the index of economic complexity by type of economic activity are highly resistant to changes in the threshold and have advantages over indices constructed at other thresholds. A significant statistical dependence of the index of economic complexity, based on data on sectors at the RCA threshold 1, with a number of indicators of socio-economic development characterizing the quality of life has been established.

Роль интересов экономического развития Бутана и Непала в определении их внешнеполитических стратегий

The article provides a comprehensive analysis of the economic situation in two small countries of South Asia – Bhutan and Nepal. The author has studied the agricultural sector, industrial, tourist, hydroelectric industries of their national economies, the range of goods produced by Bhutan and Nepal, as well as the circle of their main trade and economic partners. The role of income from labor migration for improving the well-being of the population of both states is considered separately. The author analyzes Bhutan’s and Nepal’s indicators of socio-economic development according to the UN classification. Based on the work carried out, the author comes to the conclusion that for both countries their economic and social interests play the key role in determining their foreign policy strategy. As landlocked countries with a complex and ambiguous history, their relations with two neighbors, India and China, are their priority. Taking into account the Indo-Chinese competitive interaction, it becomes obvious that the Governments of both Bhutan and Nepal are trying to find a balance between the two rival countries and their own national interests. However, they choose different balancing scenarios. Nepal is characterized by a clearly represented course towards the sovereignization of the country and its foreign policy with the creation of positive neutrality in relations with both neighbor states. The leadership of Bhutan, from the other side, traditionally chooses a pro-Indian course with cautious steps towards resolving contradictions in relations with China.

РОЗВИТОК КООПЕРАЦІЇ У ПІДВИЩЕННІ СОЦІАЛЬНО-ЕКОНОМІЧНОГО ДОБРОБУТУ СІЛЬСЬКИХ ДОМОГОСПОДАРСТВ: КОНЦЕПТУАЛЬНО-МЕТОДОЛОГІЧНИЙ ДИСКУРС

Under crisis, the promotion of initiatives to create cooperatives in rural areas is especially relevant for improving the social and economic well- being of rural households. The purpose of the article is to conceptualize the importance of cooperation in increasing the socio-economic well-being of rural households. Data from the State Statistics Service of Ukraine were used to analyze the main indicators of the socio-economic development of rural households in the pre-war period. Initiatives to create cooperatives in rural areas are studied based on the data of the National Project "Incredible Villages of Ukraine" in 2022. The monographic approach and the construction of a logical model were used to deepen the importance of cooperation in increasing the socio-economic well-being of rural households in the context of ensuring sustainable development in rural areas. It was found that the pre-war state of rural households in Ukraine is characterized by low indicators of socio-economic development. Accordingly, the war and post-war periods of the functioning of rural households will be characterized by a drop in the standard of living of the rural population. It is proposed to consider cooperation as a tool for consolidating the capabilities of rural households in order to increase their social and economic well- being. The analysis of business projects for the creation of agricultural cooperatives indicated that further research should be conducted in the direction of attracting financing for the performance of the activities of cooperatives in rural areas both with the help of traditional tools (loans, grants, etc.) and with the help of the latest tools with a targeted impact on sustainable economic, social and environmental development (social, green, sustainable bonds). Accordingly, the effect of increasing the socio-economic well-being of rural households will be twofold: both when joining a cooperative (organizational) and when attracting financing from bonds with a specific purpose (economic).

Прикладные аспекты преодоления экзогенных кризисов в изолированных экономических системах (на примере экономики Камчатского края)

The article considers peculiarities of the course of economic crises caused by exogenous factors in the isolated regional economic systems. Analysis of the socio-economic situation in the Kamchatka territory was carried out at the end of 2022 in the context of sanctions pressure from the unfriendly countries. The features and factors of the economic crisis of 2022, their impact on the regional economic system have been identified. The results of implementation of anti-crisis measures in the Kamchatka territory and their impact on the indicators of socio-economic development are presented. Strategic priorities for development of the region's economy for the period up to 2035 have been identified.

Effect of Water Management and Development in Rainfed Agriculture: A Socio-economic Impact Analysis

The study attempted to determine the effects of soil and water conservation measures on the socio-economic status of the people in rain-fed agriculture. The findings showed that the socio-economic development index of the beneficiaries and non-beneficiaries of the Khuntapingu watershed were 0.623 and 0.426, respectively. The socio-economic development index of the beneficiaries and non-beneficiaries of the Haripur watershed were 0.404 and 0.263 respectively. The results showed the difference in the impact of the adoption of soil water conservation measures; in two different agro-climatic regions within a district, such that the impact of the Khuntapingu watershed was comparatively better than Haripur watershed. The impact of the treatment of the watersheds differs in two agro-climatic zones. It was mainly due to the difference in land topography and the difference in baseline socio-economic conditions of the people across the watersheds. So, in order to achieve good results from the treatment of the watersheds in two agro-climatic conditions, the effort and approach of the implementing agency on two different agro-climatic zones will be different as per the location. Better convergence of government schemes with empowerment for the demand-driven approach of the community institutions through the adoption and adaptation of technology of soil and conservation will have a better impact on the community. Keywords: Rain-fed agriculture, socio-economic development index, water management. JEL Codes: O13, Q15, Q25.

Creation of transport and logistics clusters on railway networks

The development of logistics terminals and their placement on the railway network, which involves their integration into transport and logistics clusters, will significantly reduce logistics costs, thanks to the optimal technology for the movement of goods, and also contributes to active import substitution and the level of growth in the competitiveness of goods and services. Clustering, which is being given great attention by the Government of the country today, will allow solving some issues of territorial balance of production concentration, increasing the share of high-tech industries, avoiding dependence on trade in resources, increasing the added value of goods, increasing economic growth rates. Modern Uzbekistan has huge transport potential and unique opportunities to meet the needs of the country in the movement of both goods and passengers in all directions by all possible modes of transport through the use of available transit resources. The article analyzes the sectoral structure of the industry of Uzbekistan, shows the existing clusters of the agricultural sector of the republic. The methods of assessing the level of cluster development in the context of the regions of Uzbekistan are described. Paired correlation analysis was used to determine the presence and type of relationship between the studied factors. As a result, the regions of Uzbekistan in terms of the placement of freight infrastructure on railways in order to create potential transport and logistic clusters were grouped depending on the indicators of socio-economic and infrastructural development.

Models for assessing crisis dynamics in disparities of Ukraine’s regional economy to ensure the economic security of regions

The increase in the unevenness of indicators of regional socio-economic development in Ukraine is causing changes in regional economic security, in addition to the deterioration of national welfare. Therefore, there is a need to develop new theoretical and practical approaches for assessing such disparities and forecasting their dynamics. In this article, a toolkit for modelling crises and catastrophes in disparities of regional development is presented, using the example of Ukraine. The purpose of this study is to create models that assess the crisis dynamics in regional disparities in Ukraine, in order to develop tools for ensuring economic security in the region. To achieve this purpose, the following tasks have been identified: to evaluate convergent-divergent processes and the long-term interaction of regional disparity indicators; to simulate possible crises and catastrophes in various spheres of socio-economic development of regions according to the levels of their disparities; and to demonstrate the mutual dependence between disparities of the regions and levels of their economic security. The result of the crisis dynamic assessment is a set of predictive models of possible catastrophes that may occur in Ukraine's regions. This allows for obtaining reliable results for the qualitative analysis of stability factors of disparities in the socio-economic system, accounting for different time intervals that determine the peculiarities of the country's development. The array of constructed models is an effective tool for researching crisis processes in the dynamics of disparity indicators, as they allow for identifying and more thoroughly investigating non-linear cyclical processes in regional economic development, as well as predicting changes in levels of economic security. Such a toolkit allows for the development of a strategy for balanced regional and country development, and for ensuring regional economic security.