The transformation of social and labour relations will allow for a new order in the market environment of the subjects of labour relations and create a reasonable transition model that will ensure universal agreement between the participants of labour relations. The social and regional gap associated with the demographic situation, digitalization, lack of skills and non-compliance with modern challenges, the development of artificial intelligence, determine the nature of the institutional structure of labour relations and motives for income generation. In the face of cumulative shocks, wages are adjusted extremely slowly and disproportionately. The study showed the presence of "inequality traps" and/or "middle income traps", which can be leveled on the basis of the mechanism of "built-in stabilizer" of the institutional structure of labour relations. At the same time, the applied technologies for the use of human resources of the organization should be aimed at increasing labour productivity and GDP, which mitigate the shocks caused by exogenous determinants due to the transition of organizations to complex adaptive systems that amortize the consequences of cyclical unemployment. The analysis showed that the average per capita actual income during the epidemic in Russia had a significant discrepancy with the forecast values and fell by 17.2%. At the same time, there is a direct correlation between GDP at purchasing power parity and household income. A policy of social support and consolidation of the balance of jobs and firms carried out since the beginning of the pandemic in Russia, will allow to recover faster after lifting of restrictions, in particular, on the basis of employment and the development of industry responsive training programs, will favor the stabilization of the achieved balance in the demographic sphere. At the same time, the development of digitalization will contribute to an increase in GDP per capita and income of the population of Russia as a whole.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.