[To assess Resilience of Russian cities under international sanctions and the consequences of COVID-19: a sociological study].

The paper presents the results of in-depth interviews and a questionnaire survey of the Russian cites administration representatives about cities resilience under the sanctions pressure and COVID-19. The survey was conducted by the Center for Territorial Changes and Urban Development of IPEI RANEPA in March-May 2023, it was attended by representatives of the administration of more than 50 cities of the Russian Federation. We found overall situation as stable: social programs are being implemented in full, unemployment is decreasing, construction of municipal facilities continues, problems with failures in the supply of spare parts, equipment and components are being solved.

Carbon footprints of lending and bank performance: international evidence from panel data.

The paper studies the interaction between a set of bank performance indicators (concentration, profitability, and risk) and the carbon footprint of bank loans. Our research builds on the panel data analysis for 37 countries during 2010-2018, adopting local projections proposed by Jordá (Am Econ Rev 95(1):161-182, 2005), a feasible alternative to panel VAR estimation in case of short time series. In order to account for potentially different patterns in the relationship among the indicators, we split the whole panel into two sub-panels, using K-means clusterization based on income level, resource abundance, and overall environmental performance.

A humanistic model of corporate social responsibility in e-commerce with high-tech support in the artificial intelligence economy.

This paper aims to develop a humanistic model of corporate social responsibility in e-commerce, relying on high technology in an artificial intelligence economy. The research is based on the experience of the top 30 publicly traded e-commerce companies, the 16 most responsible companies in the retail industry in the USA, and the leading global and Russian e-commerce business structures in 2020-2021. Based on econometric modeling, it is substantiated that the humanization (qualitative criterion) of jobs provides an increase in revenues of e-commerce businesses to a greater extent than an increase in the number (quantitative criterion) of jobs.

"Smart" outsourcing in support of the humanization of entrepreneurship in the artificial intelligence economy.

The article focuses on the problem of optimizing human resource management with systematic coverage of economic efficiency and corporate social responsibility. The purpose of the article is to study the role of outsourcing in the humanization of entrepreneurship in the AI economy. The potential of outsourcing in the field of entrepreneurship development in the AI economy is justified through econometric modeling using the regression analysis method on the example of companies from the "Global-500" in 2022.

Industrial emissions effect into atmospheric air quality: mathematical modeling.

This paper presents the results of modeling the distribution process of industrial emission components at specified distances from the emission source along the normal. The model uses a system of differential diffusion equations to compute the concentration profiles of aerosols, industrial gases, and fine particles in the atmosphere. In order to investigate the regularity of the emitter propagation into the atmosphere, a theory of impurity dispersion was developed.

Direct Investment from Russia Abroad: Changes since 2018.

The article considers the specifics of Russian foreign direct investment outflows in 2018-the first half of 2020. Three main reasons for the new stagnation of Russian foreign investment expansion are identified: 1) the strengthening of "sanctions war" with the West after the election of Vladimir Putin for the 4th presidential term; 2) the slowdown in the global economy in 2018-2019 against the background of relatively low prices for hydrocarbons and other raw materials exported from Russia; and 3) the crisis caused by the coronavirus pandemic in 2020. These factors resulted in a reduction of both outward foreign direct investment stocks by Russian MNEs (partially due to revaluation of their assets after the collapse of the ruble rate), and a decrease in investments of wealthy Russians in foreign real estate as well as pseudo-foreign investment because of the regular attempts to conduct de-offshorization.

Towards a 'wide' role for venture capital in OECD countries' industry 4.0.

This paper focuses on the current theoretical views of venture capital that predetermines a "narrow" treatment. In the light of the existing "narrow" treatment, venture investors seek private commercial interests in financial support for Industry 4.0, ignoring other interests that fall beyond the limits of the current "narrow" treatment of venture capital.

The impact of the Covid-19 pandemic on the business interruption insurance demand in the United States.

The article investigates the Covid-19 pandemic related changes in the demand for insurance services in the Unites States due to business interruptions by employing panel vector autoregression models to a dynamic panel data set of 50 states and District of Columbia for three periods of time: 01 January, 2004 to 28 June, 2020; 01 January, 2004 to January 21, 2020 (pre-Covid period); January 22, 2020 to June 28, 2020 (Covid-period). This paper is the first attempt to obtain estimates by applying Google Trends with a search key word "Business Interruption Insurance". The data was collected and reduced to a single scale by US states within the widest possible time span.

Demographic Development of Russia in the 20th‒21st Centuries: Historical and Geopolitical Dimensions.

Features of demographic development in Russia from the 1940s to 2020 are retrospectively considered. The stages of the country's demographic development are analyzed, including the contribution of various components to the demographic dynamics in certain historical periods. The idea of distinguishing two waves of depopulation is proposed, and it is argued that the second wave of depopulation in Russia is provoked not only by negative modern trends, but is also associated with the historical features of the demographic development of the country, namely, with the age structure of the population, deformed under the influence of various historical events, or with "demographic pitfalls," often referred to in the literature.

How Culture and Trustworthiness Interact in Different E-Commerce Contexts: A Comparative Analysis of Consumers' Intention to Purchase on Platforms of Different Origins.

The outgrowth of e-commerce has advanced the development of countries' economies. Today, online marketplaces are targeting not only their local customers but are also spreading their interests overseas, expanding cross-border e-commerce. The current study aims to analyze the interaction of customer's personal traits, such as national culture, disposition to trust, and perceived trustworthiness, and their effect on the purchase intention within different e-commerce contexts.

[The preconditions of occurrence and social demographic consequences of pandemics].

The article considers the historical features of development and theoretical approaches to defining the concept of "pandemic" in social sciences. The approaches of demographic science to the study of the consequences of pandemics are outlined. The prerequisites of occurrence of major pandemics at various historical stages of humankind development are highlighted.

The real value of words: how target language linguistic modelling of foreign language teaching content shapes students' professional identity.

The paper focuses on the methods of linguistic analysis in the sphere of teaching foreign languages as a form of shaping students' identity. By putting forward the hypothesis that proper language acquisition should be based on fundamental cultural values and their adequate linguistic interpretation, we propose the pragmatic and axiological linguistic modelling as an indispensable FLT tool, develop its methodology and prove its future validity on the material of FLT discourse. The research gives a step-by-step explanation of how to implement this modelling through discourse analysis, pragmatic-communicative analysis, functional and linguoaxiological analysis.

Anti-, Non-, and Dis-: the linguistics of negative meanings about youtube.

The aim of this research paper is to reveal and explore the negative concepts, i.e. anti-values, verbalized in the professionally compiled media texts on the topic of YouTube as they shape the idea of what YouTube is and how it functions.

Violation Liability in the Context of the Spread of COVID-19: Russian Experience.

The article investigates the legal regime of restrictive measures introduced in Russia due to the COVID-19 pandemic and provides statistical data on the spread of the infection. It describes special administrative violations and criminal offences first introduced during the pandemic: violation of therapeutic and epidemiological rules, dissemination of false information, and failure to follow the procedures introduced during the high-alert regime. Judicial and investigative practice is analysed.

Data set of balance of Russia's regional economy in 2005-2024 based on the methodology of calculation of "underdevelopment whirlpools".

The article shows the possibilities of Data Set "Interactive Statistics and Intelligent Analytics of the Balanced State of the Regional Economy of Russia in Terms of Big Data and Blockchain - 2020". For creation of the data set, we formed time rows of the values of the selected indicators, which characterize the balance of Russia's regional economy. The indicators are systematized and classified into two categories.