Regional Development and the Education System in the Context of Digital Transformation

Abstract

The paper aims to assess how the existing imbalance between the education system and the regional economy influences the formation of spatial inequality and uneven economic development. Based on the structural and comparative analysis of data on Russia and China as the members of the Organization for Economic Co-operation and Development, we demonstrate that the technologies of the 4th Industrial Revolution shift the demand for highly skilled labour force. This situation leads to the gap between labour demand and supply, as the education systems are oriented to the economic needs of the 3rd Industrial Revolution. We consider cross-country differences in the quantity of STEM graduates and researchers (science, technology, engineering, and mathematics) as a possible cause of spatial inequality in the context of digital transformation. Further, on the example of Russia, we apply correlation and regression analysis to show that the discrepancy between the skill level of graduates and market expectations contributes to regional development inequality. We demonstrate the strong relationship between the share of unemployed persons among the economically active population and the skills of the labour force for all federal districts of the Russian Federation. On average, an increase in the share of employees with higher or secondary vocational education by 1 % decreases unemployment by 0.32 %. Additionally, in all federal districts of Russia, there is a discrepancy between the economic need for highly qualified workers with higher education and the education system producing too many specialists with secondary vocational education. The discrepancy between the structure of skilled labour force produced by the education system and the employment structure in the labour market by 10 % increases unemployment by almost 1 %. The results of the study can be used by the government for creating the development strategy of the education system and reducing spatial inequality.

Cognitive Concept of the Analysis of Hype Processes in the Digital Economy

“…It is important to note that resulting model makes it possible to establish the substitution property possessed by cognitive technologies. Investments in such technologies, especially when they converge with digital systems, firstly, for formation of direct control actions [4] (for example, in business processes), and secondly, for making decisions in operational, tactical and strategic management, are capable to ensure innovative economic growth.…”

“…It is important to note that the basis for transformation of such preferences is, firstly, an appetite for risk, and, accordingly, an increase in asset returns, and, secondly, a high level of people's trust in digital technologies (bitcoin has no other types of collateral). The comparison shows that economic processes require and widely use high-tech methods of organizing the production of goods and services, and especially digital methods and means of production [4]. Interest has grown in implementation of cyberphysical systems (CPS) with cognitive functions.…”

Research Progress and Prospect of Chinese Labor Skill Structure

“…The new occupations and positions spawned by the rise of the digital economy have a huge impact on the labor market, and at the same time put forward new requirements on the skill structure of workers. The evolution of the labor market caused by the transition to hightech and knowledge-based economy has increased the demand for high-skilled workers, while the replacement risk of low-skilled labor is constantly rising [22][23][24][25]. The development of digital economy has promoted the optimization and evolution of human capital structure [24].…”