Abstract: The subject of this research is the peculiarities of Russian TV advertising, as well as the functions of advertising with regards to the goals of advertisers, developers of advertising content, and consumers of advertising products. The article explores the specifics of modern Russian TV advertising, and analyzes the existing traditions of selective perception marketing, as well as advances the original concept of divergence of public values by the Russian media. The research employs systematic and axiological approaches, observation, system analysis, case analysis and content analysis of TV commercials, structural-functional and socio-psychological methods, as well as conceptualization and generalization techniques. The study considers 150 TV commercials broadcasted on the central Russian channels over the period from 2017 to 2020. The author reveals the peculiarities of the Russian advertising content, as well as the trends that established thereof in recent decades. The scientific novelty lies in the conclusion that the Russian TV advertising features a unique (compared to Western advertising) transformative function aimed at changing the national value system as the framework of Russian culture and mentality and the pillar of the Russian system of social values. The author also notes that many TV commercial use the techniques of manipulating consumer perception and consciousness. The acquired results can be applied in the area of protecting consumer interests in the Russian Federation, as well as bringing into correlation the interests of advertisers and consumers of advertising content for more effective promotion of products and services in tune with the interests of customers.

Keywords: informational content, conflict of interests, manipulation, consumer perception, marketing communication, product promotion, digital economy, consumer economics, transformational content, transformative advertising

Abstract:  Currently, all the prerequisites have been met for transitioning to the qualitatively higher level of public finance management that correspond to the generally accepted principles and international standards. The responsibility for choosing the most effective methods of public expenditure management increases with the development of innovation economy. This actualizes the problem of improving the state financing of social expenditures. The subject of this research is the assessment of the effectiveness of government spending in the area of social policy, considering the range of indicators that reflect socioeconomic development of the regions. The score is suggested for assessing the effectiveness of government spending in the area of social policy based on the standardized values of the criteria that describe the aspects of social policy of the regions and the peculiarities of their economic development. The proposed methodology for integrated assessment of the effectiveness of government spending takes into account the trends in the criteria that characterize the level of economic development of the regions, as well as possible variability of budget flows aimed at financing social expenditures. Practical implementation of such methodology allows classifying the territories by the level of efficiency of social expenditures, which facilitates rational financial decisions on the formation of resources that ensure sustainable economic growth and development of strong human capital. 

Keywords: trend indicator, rating, standardization, integral evaluation, integrated indicator, government spending, efficiency, social politics, efficiency class, volatility

Abstract: The object of this research is the financial policy and indicators that characterize it. Financial policy certainly has a significant impact upon the actions of innovation actors along with other important factors: access to scientific and technological information, availability of highly skilled personnel, level of innovation infrastructure, status of development of domestic and foreign target markets, availability of domestic market for foreign investment, protection of the rights of investors, trusts of the manufacturers in national currency, absence of obstacles to starting a business, consumer preferences, etc. Using the method of graphical analysis, the author illustrates the dynamics of innovation behavior of the Belarusian companies in the context of changing the key financial indicators. The management of available resources in the company – accrual, savings, or investment into innovation development – would depend on the economic conditions established in the country. The conducted analysis allows concluding on interdependence between the financial results of the companies and their innovation activity, the amount of borrowings and innovation costs, as well as currency rates on the investment in innovation.

Keywords: the cost of innovation, graphical analysis, credit policy, tax policy, fixed assets, investments in innovation, financial policy, innovation, innovative behavior, state regulation

Abstract: This article presents an original perspective upon the problem of creating intelligent transport systems in the conditions of using highly automated vehicles that freely move on the urban street-road networks. The author explores the issues of organizing a multi-agent system from such vehicles for solving the higher level tasks rather than by an individual agent (in this case – by a vehicle). Attention is also given to different types of interaction between the vehicles or vehicles and other agents. The examples of new tasks, in which the arrangement of such interaction would play a crucial role, are described. The scientific novelty is based on the application of particular methods and technologies of the multi-agent systems theory from the field of artificial intelligence to the creation of intelligent transport systems and organizing free-flow movement of highly automated vehicles. It is demonstrated the multi-agent systems are able to solve more complex tasks than separate agents or a group of non-interacting agents. This allows obtaining the emergent effects of the so-called swarm intelligence of the multiple interacting agents. This article may be valuable to everyone interested in the future of the transport sector.

Keywords: autonomy, highly automated vehicle, autonomous agent, multi-agent system, cooperative ITS, intelligent transportation system, interaction, V2X, artificial intelligence, non-stop traffic

Abstract: The object of this research is the real estate market, while the subject of is the socioeconomic relations between all actors of the real estate market established in the context of implementation of restrictive measures due to COVID-19 pandemic. The authors examine the key theoretical aspects of the real estate market, analyze the dynamics in the housing (including premium segment), commercial, office and other property; make projections and align expert opinions on long-term development associated with the COVID-19 pandemic. Emphasis is placed on the impact of changes in mortgage lending with a lower interest rate under the State Support 2020 program development for the development of new-build property market. The following conclusions were made: paradoxicalness of the development of real estate market during the COVID-19 pandemic, in which the obvious negative factors did not lead to a drop in property prices; ambiguity of forecasts for the development of real estate market after the coronavirus pandemic, considering its consequences; situation on the real estate market of China, Hong Kong, and the United States during the coronavirus pandemic indicate similar development scenarios, while the premium segment prices differ significantly. The authors’ special contribution consists in aligning various expert opinions and assessments on the particular elements of real estate market (reinforced by the statistical data of different countries), and formulating a general conclusion on the state of this economic segment under the current conditions of pandemic.

Keywords: infrastructure, economy, crisis, coronavirus, pandemic, estate market, mechanism, price, housing market, forecast