Olha Mulska

The effective functioning of the banking sector has a key impact on the stability of economic growth. The study is aimed at monitoring the banking sector development and identifying causality between the banking sector and economic growth. The methodological tools of the research are Principal component analysis, causal relationship, and vector regression modeling. The empirical study is based on the World Bank databank by eight components (for integral analysis) and seven indicators (for causality analysis). The study presents an improved algorithm for monitoring the level of banking sector development based on calculating the integral coefficient. According to assessment, the level of banking sector development and realization of its potential in Ukraine is low and significantly inferior to the EU countries; in 2000–2019, the development of the banking sector in Ukraine was 0.061-0.153. The results obtained confirmed the large discrepancy in the development of Ukraine’s banking sector with some EU countries (the highest lag values were observed with the Czech Republic and Poland). The causality analysis revealed a strong favorable relationship between the level of development of the banking sector in Ukraine and GDP per capita (0.796), a moderate one – with foreign direct investment (0.400), and a reverse relationship with the level of national poverty (0.678). This study is of practical value for identifying two possible trajectories of a country’s development, namely, sustainable development and economic turbulence, and has allowed forming a conceptual vision of the role of the banking sector in achieving social and economic goals.

The level of positive migration aspirations of the population is determined by the unfavorable socio-economic environment and ineffective management of territory development, in particular the level of deprivation, including labor, security and living conditions. The paper aims to assess the impact of different components of deprivation on the spread of migration aspirations and create the landscape of a territory migration capacity. The methodological tool of the study is a sociological survey (a case study of Lviv Oblast, Ukraine) using a questionnaire (self-administration), which covered more than 500 people. Processing of results is carried out using SPSS software. The results of the sociological survey across migration vectors show the cause-effect relation between positive external aspirations and deprivation components. According to the assessment, the EU countries vector (72.0%) has the highest level of positive migration aspirations by income deprivation, and domestic migration vector – the lowest level (41.0%). The highest deprivation levels among socio-economic, environmental, and medical-demographical conditions for ineffective management of Lviv Oblast was detected for educational services with the level of 3.6 out of 5 possible, moderate level – for living and environmental conditions (2.9 each), and the lowest one for medical services (2.7). The spread of deprivation components at the territory according to the level of positive migration aspirations analysis shown that the highest deprivation levels in Lviv Oblast are peculiar to components such as the quality of medical services (43.4%), income (36.5%), and living conditions (35.1%). This study is of practical value for forming landscape of territory migration capacity including weighed migration aspirations and socio-economic deprivation levels.

Acknowledgments
The study has been conducted within the framework of Applied Research “Financial determinants of the provision of economic growth in the regions and territorial communities based on behavioral economy” with the support of the National Research Foundation of Ukraine (M. Dolishniy Institute of Regional Research of National Academy of Sciences of Ukraine, the grant Reg. No. 2020.02/0215, 2020-2022).

The Carpathian Region (Zakarpattia, Lviv, Chernivtsi, and Ivano-Frankivsk) is inferior to other regions in Ukraine regarding its economic development, which does not contribute to migration stability and, rather, serves as a factor motivating the active part of the population to emigrate. The problem of the labor market disproportions in the Carpathian Region is one of the significant causes of the formation and subsequent implementation of migration intentions, especially in rural areas, less economically developed areas, and district centers, where labor demand is much lower. The research aims to develop an innovative approach to calculating the intensity of the population’s external migration based on the introduction of a correction coefficient, which enables to consider the scale of transit migration in the Carpathian Region. The data presented in the study were collected for the period 2005–2018. Granger causality analysis is used to assess the relationship between migration and socio-economic development of the region. The analysis reveals that in all regions of the Carpathian Region, there is a short-run causal relationship between the intensity of external migration and the share of total household expenditure on food; in the medium run, the real household income, the size of the average monthly wages, and the volume of foreign portfolio investment, the foreign economic activity and retail trade turnover in the region; in the long run, living standards and indicators of economic growth. Future studies may require a more diverse set of indicators to evaluate the causal relationship in other regions of Ukraine, which will provide the integrity of the results of Granger causality analysis.

Acknowledgment
The research has been conducted within the framework of applied research ‘Migration Activity of the Population of the Carpathian Region’ (Dolishniy Institute of Regional Research of National Academy of Sciences of Ukraine, Reg. No. 0119U002010, 2019–2021).