Based upon official statistics, independent surveys, and the latest rounds of the Rosstat Comprehensive Monitoring of Living Conditions, the article examines changes in objective and subjective indicators characterizing various aspects of the well-being of Russian employees under labor shortage exacerbation. It is shown that the changed labor market situation contributed not only to wage increase, but also to greater stability in the socio-economic situation of the working population, as well as to an increase in job satisfaction across the entire range of aspects considered. At the same time, the observed growth in wages was accompanied by an unprecedented increase in working time duration. It is concluded that labor in the Russian economy continues to be relatively cheap, and wage received in many cases hardly guarantee socially acceptable standard of living. The situation generates a shift in work values towards remuneration to the detriment of non-monetary aspects characterizing the quality of working life.

The article describes a scenario forecast of changes of the demographic burden on the pension system and the economy of Russia in general due to ongoing aging of the population. An approach to forecasting a number of employed based on demographic indicators and labor market characteristics is proposed. The changes in gender and age levels of labor force participation rates are discussed, including their growth among the pre-retirement and retirement age groups as a result of an increase in the retirement age. It is shown that in the long term, the demographic burden on the Russian economy will rise, but will not exceed the previously observed level. However, it is demonstrated that the main challenge associated with the growth of such a burden is its redistribution between age groups, from children and youth to the old population. The possible answer to this challenge is the modification of the state pension system of Russia, in particular, the incorporation of a basic pension income into it.

The conducted research has shown that preferential economic zones with their special economic conditions in different territories of the country are not the opposite, but an integral part of the unity of the national economic space. Unity does not mean universal uniformity, sameness. The state purposefully creates preferential territorial zones with their own specific rules of management regulations, special organization of state and municipal management governance of the territory, special management governance techniques that nominally violate the unity of economic conditions in the country. However, preferential economic zones themselves, preferential regional and municipal taxation are being created and introduced to generally improve business conditions, to increase national competitiveness, to reduce inter-regional socio-economic differentiation and, consequently, to strengthen the unity of the national economic space. Preferential zones are designed to strengthen this unity.

The article examines a new stage of strategic planning and management of economic space, presented by the Strategy for Spatial Development of the Russian Federation for the period up to 2030 with a forecast up to 2036. It is shown that the transformation of the spatial model of the economy affects, among other things, the so-called geostrategic territories, significantly changing their quantitative composition and qualitative content. Particular attention is paid to geostrategic territories, including conceptual issues of their formation and management. The main trends in the evolution of the place of these territories in strategic plans for the development of economic space are determined. The directions for increasing the effectiveness of the policy for managing geostrategic territories are substantiated, taking into account the new opportunities of the economic space in implementing national development goals.

The article is devoted to the problems of development of second-tier urban agglomerations in Russia (with a population of less than 500 thousand people), which are formed around a number of large and big cities. The author’s approach to assessing development is proposed, which is based on understanding the essence of an agglomeration as a self- developing socio-economic system that is internally integrated and produces positive agglomeration effects. The approach has been tested on the data of eight agglomerations with cores in the cities of Arkhangelsk, Vologda, Kaluga, Norilsk, Surgut, Tambov, Khanty-Mansiysk, Yuzhno-Sakhalinsk for the period 2014–2023. It was revealed that only five out of these eight agglomerations are classified as such: the agglomerations with an average level of integration include Yuzhno-Sakhalinsk, Arkhangelsk, with a low level – Tambov, Surgut and Vologda.

The article analyses the process of managing the transformation of the institute of property treasury in a dynamically changing institutional environment in Russia. The study was conducted taking into account the current geopolitical and socio-economic conditions, with an emphasis on current trends and innovations. The directions of improvement and development of the state management of the property treasury for the medium and long term are proposed.

The increasing number of exogenous and endogenous shocks faced by national economies, as well as various measures of external negative impact on the country’s economy, necessitate a diagnosis of threats to the viability of the economy. Based on the statistical data of the Russian Federation for the period 1990–2023, eight different types of shocks were identified, which were classified as external or internal, natural or artificial in origin. Some of these became bifurcation points, changing the vector of Russian economic development. Since the impact of artificially induced shocks cannot be analyzed through deterministic models, it becomes necessary to use current statistical data instead of analyzing long time series to diagnose threats to the resilience of the Russian economy. To this end, the authors used machine learning algorithms, including identifying specific machine learning algorithms that allow for a fairly accurate diagnosis of the impact of shocks on the resilience of our country’s economic system. The AdaBoost and decision tree algorithms demonstrated the best results. Machine learning was used to identify the variables the algorithms selected for shock impact diagnostics, as well as to determine the threshold values for the indicators used by the algorithms to diagnose economic shocks.

This article examines various factors influencing consumer product perception and assesses the impact of individual aspects of product information on product packaging. Various brands of fruit juice served as the object of the study. Neuromarketing, specifically eye-tracking technology, was used as the research methodology. The paper characterizes the requirements of national standards of the Russian Federation regarding the rules for applying product information. An attempt was made to determine the level of influence of cognitive dissonance in the buyer, which occurs when focusing on the name printed on the product packaging with incorrectly placed hyphens, as well as to determine the degree to which this marketing ploy triggers a desire to make a purchase or the formation of negative perceptions. The neuromarketing study did not reveal a positive effect of intentional spelling errors in the product name on the formation of consumer interest. Oculographic analysis confirmed that incorrect hyphens in names have an insignificant impact on product perception. It was found that the key factors in attracting attention are the area of the name placement and its cognitive accessibility due to brand recognition, while minor typographic errors are offset by the integrity of perception and top-down processing of visual information, as well as the location of the product on the shelf.

Digital products have the potential to make anti-money laundering and counter-terrorist financing operations less costly, more efficient and significantly faster, ensure high-quality compliance with the Financial Action Task Force Standards and improve cross-border cooperation. This enables financial institutions to provide services to a greater number of economic entities. Therefore, the global anti-money laundering system is widely introducing innovative digital technologies to provide prompt and reliable information about economic entities and their operations by significantly increasing the volume of processed data. However, their use is associated with regulatory or operational systemic risks. The purpose of the study is to identify risk factors and measures to regulate them for systemic risks, as well as to systematize and rank them by importance. Such ordering provides grounds for the appropriate distribution of resources used to influence risk factors. The level of risks, risk factors and measures for their regulation are assessed on the basis of a risk-oriented approach using surveys of authoritative organizations, research by specialists and regulatory documents.