Digital Effects and Inequality of People’s Quality of Life in the Globalization Era

Research background: Digital transformation are going on both in global economy and within separate states. This phenomenon became known as glocalization. In that respect the analysis of digitalization influence on people’s quality of life in different regions of large-space countries like Russia seems to be actual. Purpose of the article: Basing on calculation of digital component level of people’s quality of life to estimate temporal and spatial effects affecting it, to determine inequality in digital components of quality of life in different regions of Russia. Methods: Digital component of people’s quality of life was computed basing on the authorial Russian regional index including six components. To estimate spatial and temporal effects panel data models were used. Digital inequality was found with the use of R/P 10% ratio, variation ratio and cluster analysisfor 2015–2018. Findings & Value added: The Russian regional index of digital component of quality of life was defined for 85 regions and increased by

Effects of digital transformation of the economy and quality of life in Russia

This paper deals with the process of digital transformation, its effects and their distribution in the regional aspect. The research is an attempt to define the influence of digital factors on the main indicator of people’s wealth (gross domestic product per capita) considering regional and temporal differences during the period from 2015 to 2018 in the regions of the Russian Federation. The digital component of people’s quality of life is defined based on the Russian regional index (digital index). To estimate the effects, panel data models were used to show the relationships between the parameters in space and time simultaneously for the period from 2015 to 2018. The econometric models surved as a tool for evaluating: 1) influence of the digital index on the real GRP per capita; 2) its influence on the real GRP per capita considering temporal and regional differences. To specify regional differences, digital inequality in the districts and subjects of the Russian Federation was considered. The research findings showed that the Russian regional index of digital component of people’s quality of life grew by 0.051 during the years 2015–2018. Regional factors strongly affect the impact of this index on real GRP per capita. The number of regions with negative corrected elasticity ratios (adjusted appropriately for differences in regions and period) decreased by 5. Variation ratio of the digital index decreased by 10.2%. Compared to the rest of the Russian federal districts, Ural and Northern Caucasus ones demonstrate higher digital inequality. In general, the positive impact of digitalization is identified for economically developed and rich regions of Russia, while for less developed regions, this impact could entail digital risks.

INCOME INEQUALITY AND REGIONAL INDEX OF FINANCIAL INCLUSION FOR ISLAMIC BANK IN INDONESIA

This research is proposed to measure financial inclusion index in 2 dimensions (2D-FII) in Indonesia Islamic banks. This research contributes on the measurement 2D-FII in regional level in Indonesia. The result shows that value of FII in Islamic banking in Indonesia is still low. Previous works show one of the determinant on increasing inequality in any country is a limited access to financial sector, especially for low income household (Akimov, Wijeweera, and Dollery 2006; Kenourgios and Samitas 2007; Levine 2003; D. Park and Shin 2015). In other words, low level of FII in Indonesia perhaps is caused by inequality of income. Therefore, this research recommends policymaker to have more concern on poverty alleviation program and open new Islamic banks branches in the regional level.

REGIONAL INDEX OF ECONOMIC DEVELOPMENT AND RANKING OF THE SUBJECTS OF THE RUSSIAN FEDERATION

Recent practice clearly shows that the implementation of the Strategy of spatial development as the basis of the state regional policy faces significant difficulties. One of these problems, significantly reducing the effectiveness of regional development policy is the lack of methodological approaches to the implementation of this policy on a targeted basis, taking into account the specifics of different groups of the subjects of the Federation. The article, basing on the authors’ methods of building a regional index of economic development and ranking of the subjects of the Russian Federation, undertakes an attempt to identify specific groups of regions of the country as the objects of the federal policy of regional development and the regulation of the spatial structure of the country’s economy. The authors formulate and evaluate in dynamic the basic “economic development potentials” of the regions of Russia. On this basis the authors identify — as a whole and in the context of separate groups of regions — the main factors and patterns, which ensure the steady growth of the regional link of the Russian economy. Taking into account the revealed patterns, the paper defines the possibilities of targeted addressing of various institutes and instruments of the federal policy of regional development in relation to specific groups of regions in the course of their ranking according to the authors’ methodology.

Peculiarities of the environmental creation of educational migration in Ukraine

The concept of educational migration and the societies in which it is created are defined; the main components and their features are outlined. The necessary statistical information is generated for the evaluation of the environment of creation of educational migration. The value of the factor of educational migration in the formation of analytical support system is discussed. The paper proves that in the era of freedom of knowledge movement on the European continent and development of "European Higher Education Area" (EHEA) and "European Research Area" (ERA) the processes of educational migration and academic mobility of Ukrainians are linked to job search. The notion of the educational migration and its five main components are described: the quantitative dimension of the potential of educational migration; quality of academic environment; motivational conditions; possibilities of cooperation between universities and industry in research; institutional condition in education. The author shows that the first component characterizes the educational and informational condition of forming of educational migration, the second - educational and scientific conditions, the third - socio-economic, socio-demographic, political conditions, the forth - innovative conditions, the fifth – institutional ones. The list of indexes for quantitative presentation of each component of the environment of educational migration is presented. The conclusion was made about the objective need to monitor the state of migration activity and the formation of system of informational and analytical support. The regional index of educational migration environment is suggested to be calculated.